A Process-Based Landscape Approach to Landform Architecture by Iryna Volynets A dissertation accepted and approved in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Landscape Architecture Dissertation Committee: Mark Eischeid, Chair, Advisor Ignacio López Busón, Core Member Justin Fowler, Core Member Erin Moore, Institutional Representative University of Oregon Spring 2025 2 © 2025 Iryna Volynets This work is openly licensed via CC BY 4.0 3 DISSERTATION ABSTRACT Iryna Volynets Doctor of Philosophy in Landscape Architecture Title: A Process-Based Landscape Approach to Landform Architecture Landform architecture treats buildings as topographically continuous with their sites. Despite the growing interest in landform architecture among practitioners and scholars in the last few decades, a large gap between the broad concept and its application in design still exists. The current theory focuses on building aesthetics and uses natural landforms as a source of architectural metaphor. Design solutions are influenced by intuitive attempts to reconnect landscape and architecture and are focused on a form-based approach that ignores or fails to address landscape processes. This research proposes to expand the existing theory and practice by acknowledging landscape as a dynamic system to design buildings that not only look like landscapes, but function as landscapes. The purpose of this research is to develop a strategy that identifies site-specific landscape processes to design landform buildings. By engaging the potential agency of landforms to impact natural systems, landform architecture can play a significant role in addressing climate-related issues and urban growth challenges. To address gaps in research and practice, as well as expand existing theory, the dissertation will critique existing landform architecture theory, offer a landscape approach to landform architecture, and propose a process for designing resilient buildings. The project is divided into three stages: (1) review of the existing state of theory and practice through literature review and case study analysis; (2) development of a theoretical approach to design landform architecture through comparative analysis, classification, 3D modeling, and simulations; and (3) tests of the theoretical approach through design experimentation. 4 ACKNOWLEDGMENTS Never, never, never give up on your dreams. It was my dream to earn a PhD in the United States. But I cannot say how many times I wanted to give up. I truly believe that I came to this moment because of the unwavering support of people to whom I am deeply grateful. I want to say thank you to people who believed in me more than I believed in myself, especially in moments of self-doubt and difficulties. To my advisor Mark Eischeid: Thank you for your guidance, support, and care. I cannot imagine anyone else in this role. To my comprehensive exam committee, Roxi Thoren and Chris Enright: Thank you for your guidance and for helping to shape the research. To my dissertation committee, Justin Fowler, Erin Moore, and Ignacio Lopez Buson: Thank you for support, encouragement, and advice. To my sister and father: Thank you for supporting me to finish what I have started in times of complete uncertainty, when the war has started in our home country and we were ready to go back to Ukraine. To my husband: Thank you for letting me follow my dream and for following me wherever my dreams are taking me. Thank you for your love, care, and for helping to raise our son Levko. 5 PREFACE This dissertation is the culmination of a long personal and professional journey that explores the relationship between built form and landscape. I have not followed a typical academic path. I have been shifting back and forth between practice and research, as well as teaching. Each experience became a solid ground for further development, eventually leading me to the decision to pursue a PhD in Landscape Architecture. Over the past decade, my interest in research and practice was at the intersection of building and landscape, with a focus on the potential of landform architecture to engage topography, territory, and urban ecosystems. My early professional experience in architecture— winning international competitions, collaborating internationally, and building landform projects in Ukraine and Norway—were intuitive attempts to landform design. A major shift from practice to research happened when I received a Fulbright Faculty Development grant to begin a study of landform architecture. The Fulbright Program allowed me to initiate a theoretical exploration of my previous intuitive attempts in practice. As a Visiting Fulbright Scholar in the Department of Architecture at the University of Oregon, USA (2015– 2016), my research focused on the exploration of natural landforms, the way they form, and the way they change over time. One of my conclusions was that we can understand and design landform architecture by referring to the original source—the land and its forms. My doctoral work has expanded the investigation of landform architecture to how environmental processes can inform architectural form. Through simulation-based research, I have examined how architectural form, shaped by site-specific processes, changes local microclimate and addresses climate-related challenges. As I complete this dissertation, I recognize how the diverse paths of my career, across countries, disciplines, and scales, have come together in this work. I am deeply grateful to the University of Oregon for its support and the opportunity for critical inquiry and creative experimentation. I hope this work serves as a solid foundation for what comes next: a continuous exploration of the intersection of research and practice as well as architecture and landscape architecture. And I also hope to have a chance to share what I have learned with my colleagues and students. 6 TABLE OF CONTENTS Chapter Page I. INTRODUCTION ......................................................................................................... 28 1.1 Statement of the Problem ....................................................................................... 28 1.2 Purpose of the Study ............................................................................................... 29 1.3 Objectives of the Study ........................................................................................... 29 1.4 Definition of Terms ................................................................................................ 30 1.5 Research Through Design ...................................................................................... 31 1.6 Methods .................................................................................................................. 37 1.6.1 Stage 1 ............................................................................................................. 38 1.6.1.1 Literature Review ..................................................................................... 39 1.6.1.2 Precedent Study ........................................................................................ 39 1.6.2 Stage 2 ............................................................................................................. 42 1.6.2.1 Comparative Analysis ............................................................................... 44 1.6.2.2 Case Studies .............................................................................................. 44 1.6.3 Stage 3 ............................................................................................................. 47 1.6.3.1 Development of Site Selection Criteria .................................................... 49 1.6.3.2 Site Visits .................................................................................................. 50 1.6.3.3 Site Selection ............................................................................................ 50 1.6.3.4 Data Collection for Site ............................................................................ 53 1.6.3.5 Site Analysis ............................................................................................. 54 1.6.3.6 3D Simulations ......................................................................................... 55 1.6.3.7 Conceptual Design .................................................................................... 58 1.6.4 Stage 4 ............................................................................................................. 58 1.6.4.1 Environmental Performance Evaluation ................................................... 59 1.7 Significance of the Study ........................................................................................ 61 1.8 Assumptions, Hypotheses, and Researchable Questions ........................................ 61 1.9 Summary ................................................................................................................. 62 II. LANDFORM ACROSS TIME, CULTURE, AND DISCIPLINE .............................. 65 2.1 Ancient Landforms ................................................................................................. 65 2.1.1 Settlement ........................................................................................................ 65 2.1.2 Defense ........................................................................................................ 70 2.1.3 Rituals .......................................................................................................... 72 2.2 Art ........................................................................................................................... 76 2.3 Design ..................................................................................................................... 83 2.3.1 Cosmomorphism .............................................................................................. 84 2.3.2 Hydromorphism ............................................................................................... 89 2.3.3 Biomorphism ................................................................................................. 101 2.3.4 Geomorphism ................................................................................................ 108 7 2.3.4.1 Topographical Integration ...................................................................... 113 2.3.4.2 Geomorphological Form ......................................................................... 116 2.3.4.3 Crystallographic Form ............................................................................ 119 2.3.4.4 Landscape Integration ............................................................................. 121 2.4 Discussion ............................................................................................................. 122 2.5 Revised Definition of Landform Architecture ...................................................... 124 2.6 Summary ............................................................................................................... 125 III. PROCESS AND LANDFORM ARCHITECTURE ................................................ 128 3.1 Landscape as Process ............................................................................................ 128 3.1.1 Ecological Process-Based Design ................................................................. 129 3.1.2 Systems Process-Based Design ..................................................................... 133 3.1.3 Phasing Process-Based Design ...................................................................... 137 3.2 3D Simulations ..................................................................................................... 140 3.3 Modeling of Natural Processes (Case Studies) ..................................................... 146 3.3.1 Landform Simulation ..................................................................................... 147 3.3.2 Atmosphere Simulation ................................................................................. 152 3.3.3 Fluvial Simulation ......................................................................................... 160 3.3.4 Vegetation Simulation ................................................................................... 165 3.4 A Process-Based Landscape Approach to Landform Architecture ...................... 171 3.5 Summary ............................................................................................................... 172 IV. SITE CONTEXT ...................................................................................................... 174 4.1 Site-Specific Process-Based Approach to Landform Architecture ...................... 174 4.1.1 Site Selection ................................................................................................. 175 4.1.2 Context: Natural and Cultural History ........................................................... 183 4.1.3 Site Analysis .................................................................................................. 193 4.1.3.1 City Scale ................................................................................................ 193 4.1.3.1.1 Geomorphological Processes ........................................................... 195 4.1.3.1.2 Hydrological Processes .................................................................... 198 4.1.3.1.3. Vegetation Processes ...................................................................... 212 4.1.3.2 Neighborhood Scale ............................................................................... 218 4.1.3.3 Site Scale ................................................................................................ 227 4.2 Summary ............................................................................................................... 233 V. SIMULATION OF SITE-SPECIFIC PROCESSES ................................................. 236 5.1 A Process-Based Landscape Approach to Landform Architecture ...................... 236 5.2 Current Processes on Site ..................................................................................... 237 5.3 Simulations ........................................................................................................... 248 5.3.1 Geomorphological Simulation ....................................................................... 250 5.3.2 Hydrological Simulation ................................................................................ 252 5.3.3 Wind Simulation ............................................................................................ 258 5.3.3.1 Building-Focused Wind Simulations on a Larger Scale ........................ 259 8 5.3.3.2 Building-Focused Wind Simulations on a Smaller Scale ....................... 263 5.3.3.3 Landform Wind Simulations .................................................................. 273 5.3.3.4 Vegetation Wind Simulation .................................................................. 277 5.3.4 Vegetation Simulation ................................................................................... 279 5.4 Integrated Simulation Framework ........................................................................ 281 5.5 Summary ............................................................................................................... 289 VI. DESIGN EXPERIMENT ......................................................................................... 290 6.1 Introduction to the Design Experiment ................................................................ 290 6.2 Design Experiment ............................................................................................... 291 6.2.1 Simulations .................................................................................................... 291 6.2.2 Building Design ............................................................................................. 312 6.2.3 Landscape Design .......................................................................................... 318 6.3 Environmental Performance of Landform Building ............................................. 319 6.4 Summary ............................................................................................................... 324 VII. CONCLUSIONS ..................................................................................................... 325 7.1. Contribution to Knowledge ................................................................................. 326 7.1.1 Theoretical Contribution ................................................................................ 326 7.1.2 Methodological Contribution ........................................................................ 327 7.1.3 Evaluative Contribution ................................................................................. 329 7.2. Limitations of the Research ................................................................................. 331 7.3. Recommendations for Future Research ............................................................... 332 APPENDICES ................................................................................................................ 334 APPENDIX A. LANDFORMS SHAPED BY DIFFERENT PROCESSES ............. 334 APPENDIX B. HISTORICAL ANALYSIS OF PORTLAND .................................. 335 APPENDIX C. WIND SIMULATIONS .................................................................... 421 APPENDIX D. GRASSHOPPER 3D SIMULATION DEFINITIONS ..................... 446 REFERENCES CITED .................................................................................................. 453 9 LIST OF FIGURES Figure Page Figure 1. Stages of the research. ....................................................................................... 37 Figure 2. Stage 1. .............................................................................................................. 38 Figure 3. Stage 2. .............................................................................................................. 43 Figure 4. Stage 3. .............................................................................................................. 48 Figure 5. Site selection process for design experiment. ................................................... 52 Figure 6. Stage 4. .............................................................................................................. 59 Figure 7. Typology of landform architecture. .................................................................. 67 Figure 8. Early settlement in Petra, Jordan. From Encyclopædia Britannica, n.d-a. ........ 67 Figure 9. Mesa Verde in Colorado, USA. From BBC, n.d. .............................................. 68 Figure 10. Machu Picchu in Peru, Mexico. From National Geographic, 2025. ............... 69 Figure 11. Dun Aengus in Ireland. From Heritage Ireland, n.d. ...................................... 70 Figure 12. Maiden Castle in Dorset, England. From Ancient Origins, n.d. ..................... 71 Figure 13. Hambledon Hill in England. From National Trust, n.d. .................................. 72 Figure 14. Stonehenge in Wiltshire, England. From Encyclopædia Britannica, n.d.-b. .. 73 Figure 15. Top: The Tovsta Mohyla kurgan in Ukraine. Bottom: The Golden Pectoral of the Scythians from Tovsta Mohyla. From Google Arts and Culture, n.d. .................................... 75 Figure 16. Asphalt Rundown in Rome, Italy by Robert Smithson (1969). Left: Site map. Right: Picture of the site with the sculpture. From Holt/Smithson Foundation, n.d.-b. ............... 79 Figure 17. Spiral Jetty in Great Salt Lake, Utah, by Robert Smithson (1970). From Holt/Smithson Foundation, n.d. .................................................................................................... 80 Figure 18. Broken Circle/Spiral Hill in Emmen, the Netherlands, by Robert Smithson (1971). From Holt/Smithson Foundation, n.d.-d. ......................................................................... 81 Figure 19. Amarillo Ramp in Lake Tecovas, Amarillo, Texas, by Robert Smithson (1973). From Holt/Smithson Foundation, n.d.-a. ......................................................................... 82 Figure 20. Landform Ueda in Edinburg, Scotland, by Charles Jencks (1999–2002). From www.charlesjencks.com. .............................................................................................................. 85 Figure 21. The Scottish World in Kelty, Scotland, by Charles Jencks (2003–2010). From Jencks, n.d. .............................................................................................................................. 87 10 Figure 22. Land War Garden in Salford, Manchester, by Charles Jencks (1998–2001). From Jencks, 2011. ....................................................................................................................... 88 Figure 23. Left: The Wave Field in Ann Arbor, MI, by Maya Lin (1995). From Maya Lin Studio, n.d.-b. Right: Models for the Wave Field. From Lin et al., 2015. .................................... 90 Figure 24. Left: Flutter in Miami, FL, by Maya Lin. From Maya Lin Studio, n.d.-a. Right: Sketch by Maya Lin. From Lin et al., 2015. ...................................................................... 91 Figure 25. Left: Storm King Wavefield in Windsor, NY by Maya Lin (2009). From Maya Lin Studio, n.d-c. Right: Site plan sketch by Maya Lin. From Lin et al., 2015. .......................... 92 Figure 26. Left: Shell Petroleum Headquarters by Kathryn Gustafson in Rueil- Malmaison, France (1992). Right: Site image and sections of the building and adjacent landforms. From Levy & Gustafson, 1998. .................................................................................. 95 Figure 27. Left: Diana, Princess of Wales Memorial Fountain in London, United Kingdom (2004), birds-eye view. Right: Water running over textured stone. From Gustafson Porter + Bowman, n.d.-b. ............................................................................................................. 96 Figure 28. Left: View of Cultuurpark Westergasfabriek in Amsterdam (2004). Right: master plan. From Gustafson Porter + Bowman, n.d-a. ............................................................... 97 Figure 29. Parque do Tejo e do Trancão (1994) by Hargreaves Associates in Lisbon, Portugal, aerial view of the site and landforms. From Hargreaves et al., 2009. ........................... 99 Figure 30. Left: Crissy Field (2001) by Hargreaves Associates in San Francisco, CA. Right: Aerial view of the site and landforms. From M’Closkey, 2013. ..................................... 101 Figure 31.The Möbius House in the Netherlands by UNStudio. From UNStudio, n.d. . 103 Figure 32. HtwoOexpo pavilion in the Netherlands by NOX (1997). From Hidden Architecture, n.d. ........................................................................................................................ 104 Figure 33. Library Delft University of Technology in the Netherlands by Mecanoo. From Mecanoo, n.d. ............................................................................................................................ 105 Figure 34. Stranded Sears Towers in Chicago by Greg Lynn (1992). From Greg Lynn Form, n.d. ............................................................................................................................ 106 Figure 35. Yokohama International Port Terminal by FOA (1995). From Langdon, n.d. ... ............................................................................................................................ 107 Figure 36. Fort L’Empereur in Algiers by Le Corbusier (1931), conceptual rendering. From Foundation Le Corbusier, n.d. .......................................................................................... 110 11 Figure 37. NTR Headquarters in the Netherlands by MVRDV (1997). From MVRDV, n.d.-a. ............................................................................................................................ 114 Figure 38. Villa VPRO in the Netherlands by MVRDV (1997). From MVRDV, n.d.-b. ... ............................................................................................................................ 115 Figure 39. Olympic Sculpture Park in Seattle by Weiss/Manfredi (2013). .................... 116 Figure 40. City of Culture of Galicia in Spain by Peter Eisenman (1999–ongoing). From Eisenman Architects, n.d. ........................................................................................................... 118 Figure 41. Mountain in Spain by Vicente Guallart (2002). From Guallart, n.d. ............ 119 Figure 42. New Maribor Art Gallery project in Slovenia by Stan Allen (2010). From Stan Allen Architect, n.d. ................................................................................................................... 120 Figure 43. Chulalongkorn University Centenary Park in Bangkok by LANDPROCESS (2017). From Landezine, n.d. ..................................................................................................... 121 Figure 44. Underground Parking Garage in the Netherlands by Royal HaskoningDHV and OKRA Landschapsarchitecten (2016). From ArchDaily, n.d. ............................................ 122 Figure 45. Byxbee Park by George Hargreaves, Palo Alto, CA (1989). Left: Photo from the site. Right: Phase-one master plan. From Hargreaves Jones, n.d. ........................................ 130 Figure 46. Jardin élémentaires by Michel Desvigne (1987), hand drawings. From MDP Michel Desvigne Paysagiste, n.d. ............................................................................................... 131 Figure 47. Mill Race Park by Michael Van Valkenburgh, Columbus, Indiana (1993). . 132 Figure 48. Valley of energy: exploratory combination of surface and subsurface: Top: Flows of waste and water. Bottom: Mobility, and forestry by OPSYS. From Belanger, 2016. 133 Figure 49. Freshkills Park by James Corner/Field Operations, Staten Island, New York (2001–2036), field diagram. From ArchDaily, 2013. ................................................................. 135 Figure 50. Parc de la Villette by Rem Koolhaas / OMA, France (1982), diagrams. From OMA, n.d.-b. ............................................................................................................................ 137 Figure 51. Downsview Park by Rem Koolhaas/OMA, Toronto, Canada (2000), masterplan. From OMA, n.d.-a. .................................................................................................. 139 Figure 52. Layering approach by Ian McHarg. From McHarg, 1992. ........................... 141 Figure 53. The Mississippi River Basin Model by the U.S. Army Corp of Engineers, physical model. From ElMalvaney, 2010. .................................................................................. 142 12 Figure 54. Heliomorphism. The study of sun process by Ralph Knowles. The diagram shows the arrangement of multifamily units on a site. From Knowles, 1980. ........................... 143 Figure 55. Guadalupe River Park by George Hargreaves, San Jose, California (1989– 1990), physical model. From Hargreaves Associates, n.d.-b. .................................................... 144 Figure 56. City of Culture of Galicia Santiago de Compostela, Spain by Peter Eisenman (1999–2011). Left: Overlay layers. Right: The building. From Eisenman Architects, n.d. ....... 145 Figure 57. MAX IV Laboratory by Snøhetta, Lund, Sweden (2016), aerial view of the building and landscape. From Snøhetta, n.d. .............................................................................. 147 Figure 58. Before and after the construction of the MAX IV Laboratory. Left: 2020 aerial view before the construction. Right: 2024 aerial view after the construction. From Google Earth Pro. ............................................................................................................................ 148 Figure 59. MAX IV Laboratory. Left: Building shape and the direction of the landscape. Right: The shape and location of landforms hills. From Snøhetta, n.d. ..................................... 149 Figure 60. MAX IV Laboratory 3D model. Top: In Rhino. Bottom: Grasshopper definition. ............................................................................................................................ 150 Figure 61. Jade Eco Park by Philippe Rahm, Taichung, Taiwan, competition visualization. From Philippe Rahm architectes, n.d. .................................................................. 153 Figure 62. Before and after the construction of Jade Eco Park. ..................................... 154 Figure 63. Human body reaction to heat, humidity, and pollution by Philippe Rahm, competition diagram. From Philippe Rahm architectes, n.d. ..................................................... 155 Figure 64. Anticyclone device, section. From Philippe Rahm architectes, n.d. ............. 156 Figure 65. Dry Cloud device. From Philippe Rahm architectes, n.d. ............................. 156 Figure 66. Ozone Eclipse device, section. From Philippe Rahm architectes, n.d. ......... 157 Figure 67. North Wind Speed simulation map. From Philippe Rahm architectes, n.d. . 157 Figure 68. Southwest Wind Velocity and Vector simulation map. From Philippe Rahm architectes, n.d. ........................................................................................................................... 158 Figure 69. North Wind Velocity and Vector simulation map. From Philippe Rahm architectes, n.d. ........................................................................................................................... 158 Figure 70. Yanghwa Riverfront: Mud-Infrastructure by PARKKIM in Seoul, Korea (2011), aerial view. From PARKKIM, n.d. ................................................................................ 161 13 Figure 71. Before and after the construction of the Mud-Infrastructure. Left: 2006 aerial view before the construction. Right: 2023 aerial view after the construction. From Google Earth Pro. ............................................................................................................................ 161 Figure 72. Transformation of the Mud-Infrastructure park, initial concept drawing. From PARKKIM, n.d. .......................................................................................................................... 163 Figure 73. Mud-Infrastructure Park. Left: Aerial view during its normal operational time. Right: Aerial view during flooding. From PARKKIM, n.d. ...................................................... 164 Figure 74. Sony City Ōsaki by AnS Studio in Tokyo, Japan (2011), view from the path. From AnS Studio. ....................................................................................................................... 166 Figure 75. Before and after the construction of the Sony Forest. Left: 2010 aerial view before the construction. Right: 2012 aerial view after the construction. From Google Earth Pro. .. ............................................................................................................................ 166 Figure 76. The final composition of the Sony Forest. From Takenaka & Okabe, 2011. 168 Figure 77. Seed scattering process, various layouts. From Takenaka & Okabe, 2011. . 168 Figure 78. Sony Forest 3D model. Top: In Rhino. Bottom: Grasshopper definition. .... 170 Figure 79. A process-based approach to landform architecture. .................................... 171 Figure 80. Process-based approach and analysis of the site’s history. ........................... 174 Figure 81. Temperature map and tree canopy cover across Portland, Oregon. .............. 177 Figure 82. Site 1: Vanport (Northeast Portland along the Columbia River). ................. 180 Figure 83. Site 2: Albina neighborhood (Interstate 5 area). ........................................... 181 Figure 84. Site 3: Northwest of the Willamette River (historical Guild’s Lake area). ... 181 Figure 85. Selected site for design experiment, marked by a dashed line. ..................... 182 Figure 86. Portland historic maps of 1897, 1940, 1954, 1961, 1975, and 1990 (left to right). From Harvard Old Maps online. ...................................................................................... 183 Figure 87. Cadastral map of Portland, 1852. From Public Land Survey System. .......... 185 Figure 88. Albina area plat map of 1873. From Roos, 1997. ......................................... 186 Figure 89. The early development of the Albina neighborhood. From Glover, 1879. ... 187 Figure 90. Oregon Railway and Navigation Dock, 1882. The Albina community is shown in the background. From Wikimedia Commons. ....................................................................... 188 Figure 91. The first Steel Bridge, connecting Portland across the river and Albina in the foreground, 1887 (before the bridge went into service). From Volga Germans, n.d. ................ 189 14 Figure 92. Map of Portland, East Portland, and Albina. From Volga Germans, n.d. ..... 189 Figure 93. Albina neighborhoods. From Volga Germans, n.d. ...................................... 190 Figure 94. Albina Vision Trust community investment plan by El Dorado Architects. From El Dorado, n.d. .................................................................................................................. 192 Figure 95. Analysis of processes on the city scale. ........................................................ 194 Figure 96. Geomorphological processes influenced by environmental and human agents. . ............................................................................................................................ 195 Figure 97. Workflow process. ........................................................................................ 196 Figure 98. Left: Geologic map of Portland. From USGS. Right: 2D AutoCAD drawing of the map. ............................................................................................................................ 196 Figure 99. Portland surficial geologic simulation map. .................................................. 197 Figure 100. Left: Missoula Floods inundation extent and primary flood features in the Portland metropolitan Area, 2012. From DOGAMI, 2012. Right: AutoCAD 2D drawing of the flood area. ............................................................................................................................ 198 Figure 101. Missoula Flood simulation map. ................................................................. 199 Figure 102. Hydrological processes influenced by environmental and human agents. . 200 Figure 103. Willamette River flood crests simulation. ................................................... 203 Figure 104. USGS topographic maps of 1897, 1940, 1954, 1961, 1975, 1990, 2011, 2014, 2017, and 2020. From USGS. ..................................................................................................... 206 Figure 105. AutoCAD 2D drawings of the city. ............................................................. 206 Figure 106. Willamette River simulation. ...................................................................... 207 Figure 107. Willamette River bathymetry data, 1888 and 2005. From GIS. ................. 211 Figure 108. Willamette River bathymetry simulation. ................................................... 211 Figure 109. Vegetation processes influenced by environmental and human agents. ..... 213 Figure 110. Workflow process. ...................................................................................... 214 Figure 111. Satellite maps for 1951, 1970, 1975, 1990, 1994, 2000, 2011, 2014, 2017, and 2020. From Google Earth, Oregon State Aerial Imagery, and Portland Maps Advanced. .. 214 Figure 112. Analyzed data in Photoshop. ....................................................................... 215 Figure 113. Vegetation simulation. ................................................................................ 216 Figure 114. Analysis of processes on the neighborhood scale. ...................................... 219 Figure 115. Workflow process. ...................................................................................... 220 15 Figure 116. Aerial photos from 1948, 1960, 1975, 1990, 2011, 2014, 2017, 2020, and 2023. From Google Earth satellite images and University of Oregon Knight Library aerial maps reserves. ............................................................................................................................ 221 Figure 117. AutoCAD 2D drawings of the neighborhood. ............................................ 221 Figure 118. Albina neighborhood simulation. ................................................................ 222 Figure 119. Albina neighborhood gauge historic crests simulation. .............................. 226 Figure 120. Analysis of processes on the site scale. ....................................................... 227 Figure 121. Workflow process. ...................................................................................... 228 Figure 122. Aerial photos from 1948, 1960, 1975, 1990, 2011, 2014, 2017, 2020, and 2023. From Google Earth satellite images and University of Oregon Knight Library aerial maps reserves. ............................................................................................................................ 228 Figure 123. AutoCAD 2D drawings of the site. ............................................................. 229 Figure 124. Site scale simulation. ................................................................................... 230 Figure 125. Lower Albina gauge historic crests simulation. .......................................... 232 Figure 126. A process-based approach to landform architecture and analysis of a site’s current processes. ........................................................................................................................ 237 Figure 127. Top: Delaunay mesh definition in Grasshopper. Bottom: Site model with contour lines. ............................................................................................................................ 239 Figure 128. Simulation of FEMA’s 100-year flood plain. ............................................. 240 Figure 129. Top: Groundhog Grasshopper definition for surface water flow. Bottom: Surface water flow simulation (larger view in Appendix D, Figure 351). ................................. 241 Figure 130. Ladybug + Grasshopper definition for wind rose analysis (larger view in Appendix D, Figure 352). ........................................................................................................... 242 Figure 131. Wind rose analysis for prevailing wind and monthly wind patterns from January to February. ................................................................................................................... 243 Figure 132. Wind rose analysis for prevailing wind and monthly wind patterns from March to August. ........................................................................................................................ 244 Figure 133. Wind rose analysis for monthly wind patterns from September to December. ............................................................................................................................ 245 Figure 134. Current wind conditions for northwest and southeast winds. ..................... 246 Figure 135. Simulation of vegetation process. ............................................................... 248 16 Figure 136. Computational workflow. ........................................................................... 249 Figure 137. Geomorphological simulation. Definition in Grasshopper (larger view in Appendix D, Figure 353). ........................................................................................................... 251 Figure 138. Geomorphological simulation. .................................................................... 251 Figure 139. Hydrological simulation. Definition in Grasshopper (larger view in Appendix D, Figure 354). ........................................................................................................... 253 Figure 140. Hydrological simulation. Options 1–4. ....................................................... 255 Figure 141. Hydrological simulation. Options 5–10. ..................................................... 256 Figure 142. Diagram of wind speed in urban and non-urban environments. From Krautheim et al., 2014. ............................................................................................................... 259 Figure 143. Wind simulation. Definition in Grasshopper (larger view in Appendix D, Figure 355). ............................................................................................................................ 260 Figure 144. Wind simulation for prevailing wind 10 m/s for Option 1. Plan, perspective, side, and front views. .................................................................................................................. 261 Figure 145. Wind simulation for prevailing wind 10 m/s for Options 2–7. Perspective views. ............................................................................................................................ 262 Figure 146. Wind simulation for prevailing wind 10 m/s for Options 8–10. Perspective views. ............................................................................................................................ 263 Figure 147. Left: Wind simulation for cuboid shape. Right: Wind simulation for two cuboids. ............................................................................................................................ 264 Figure 148. Wind simulation for two cuboid shapes rotated 10 degrees. ...................... 265 Figure 149. Wind simulation for one, two, and three cuboid shapes rotated 30 degrees. .... ............................................................................................................................ 266 Figure 150. Wind simulation for one, two, and three cuboid shapes. ............................ 267 Figure 151. Wind simulation for one-sloped shapes. ..................................................... 267 Figure 152. Wind simulation for convex-like shapes. .................................................... 268 Figure 153. Wind simulation for a concave-like shapes. ............................................... 269 Figure 154. Wind simulation for u-shapes with right and fillet edges. .......................... 270 Figure 155. Wind simulation for u-shapes with fillet edges rotated every 45 degrees. . 271 Figure 156. Wind simulation for one-sloped u-shapes with fillet edges. ....................... 272 Figure 157. Wind simulations for single landforms. ...................................................... 274 17 Figure 158. Wind simulations for two landforms. .......................................................... 275 Figure 159. Wind simulations for two landforms rotated 45 degrees. ........................... 275 Figure 160. Wind simulations for three landforms. ........................................................ 276 Figure 161. Wind simulation for single tree with 6 m/s and 10 m/s wind speed. .......... 277 Figure 162. Wind simulation for two trees. .................................................................... 278 Figure 163. Wind simulation for three trees rotated 15, 30, and 45 degrees. ................. 279 Figure 164. Vegetation simulation. Definition in Grasshopper (larger view in Appendix D, Figure 356). ............................................................................................................................ 280 Figure 165. Vegetation simulation. ................................................................................ 281 Figure 166. Visual summary of the simulation process. ................................................ 282 Figure 167. Visual summary of the geomorphological simulations. .............................. 283 Figure 168. Visual summary of the hydrological simulations. ....................................... 284 Figure 169. Visual summary of the large scale wind simulations. ................................. 285 Figure 170. Visual summary of the building-scale wind simulations. ........................... 286 Figure 171. Visual summary of basic forms wind simulations. ..................................... 287 Figure 172. Visual summary of landform wind simulations. ......................................... 288 Figure 173. Visual summary of vegetation and wind simulation. .................................. 288 Figure 174. A process-based approach to landform architecture and an envisioned future. ............................................................................................................................ 290 Figure 175. Simulation workflow diagram for building design. .................................... 292 Figure 176. Visual summary of simulation process (building design). .......................... 293 Figure 177. Visual summary of simulation process (building design, landforms, vegetation). ............................................................................................................................ 294 Figure 178. Wind simulation for cuboid building. ......................................................... 295 Figure 179. Wind simulation for cuboid building with three pockets. ........................... 296 Figure 180. Wind simulation for cuboid building with fillet pockets. ........................... 297 Figure 181. 1897 USGS map of Portland, fragment. From USGS, 2017. ..................... 298 Figure 182. Geomorphological simulation. .................................................................... 299 Figure 183. Wind simulation for cuboid building with wave-like facade. ..................... 300 Figure 184. Hydrological simulation. ............................................................................. 301 Figure 185. Wind simulation for building form. ............................................................ 301 18 Figure 186. Wind simulation for a landform building, with wind speed of 6 m/s. ........ 303 Figure 187. Wind simulation for a landform building, with wind speed of 10 m/s. ...... 303 Figure 188. Wind simulation for north landform. .......................................................... 304 Figure 189. Wind simulation for enlarged north landform. ........................................... 305 Figure 190. Wind simulation for two north landforms. .................................................. 305 Figure 191. Wind simulation for south landform: Option 1. .......................................... 306 Figure 192. Wind simulation for south landform: Option 2. .......................................... 307 Figure 193. Wind simulation for two south landforms. ................................................. 307 Figure 194. South wind simulation. ................................................................................ 308 Figure 195. Hydrological simulation for the landform building and adjacent landforms. ... ............................................................................................................................ 309 Figure 196. Vegetation simulation. ................................................................................ 310 Figure 197. Seasonal vegetation simulation. Left: Fall months. Right: Spring months. 310 Figure 198. North wind simulation for building, landforms, and vegetation. ................ 311 Figure 199. South wind simulation for building, landforms, and vegetation ................. 312 Figure 200. Bird’s-eye view of the landform building from the Steel Bridge. .............. 313 Figure 201. Zoning requirements for the site (outlined in white). ................................. 314 Figure 202. Bird’s-eye view of the landform building from above the Broadway Bridge. . ............................................................................................................................ 315 Figure 203. Pedestrian bridge from N. Broadway green plaza. Building glass sections.316 Figure 204. Historic 1948 streets and the project site. ................................................... 316 Figure 205. North side of the building. .......................................................................... 317 Figure 206. Building form and site program. ................................................................. 318 Figure 207. South side of the building. .......................................................................... 318 Figure 208. UTCI definition in Grasshopper (larger view in Appendix D, Figure 357).320 Figure 209. UTCI simulation for current site conditions. .............................................. 321 Figure 210. UTCI simulation for cuboid shape. ............................................................. 322 Figure 211. UTCI simulation for a community center building, developed by El Dorado Architects. ............................................................................................................................ 323 Figure 212. UTCI simulation for the landform building. ............................................... 323 Figure 213. UTCI simulation for the landform building and green roof. ....................... 324 19 Figure 214. Different types of landforms and processes that shaped them. ................... 334 Figure 215. Willamette River gauge historic crest simulation on June 24, 1876. .......... 335 Figure 216. Willamette River gauge historic crest simulation on July 1, 1880. ............ 336 Figure 217. Willamette River gauge historic crest simulation on June 14, 1882. .......... 337 Figure 218. Willamette River gauge historic crest simulation on June 21, 1887. .......... 338 Figure 219. Willamette River gauge historic crest simulation on February 6, 1890. ..... 339 Figure 220. Willamette River gauge historic crest simulation on June 7, 1894. ............ 340 Figure 221. Willamette River gauge historic crest simulation on June 23, 1899. .......... 341 Figure 222. Willamette River gauge historic crest simulation on June 18, 1903. .......... 342 Figure 223. Willamette River gauge historic crest simulation on June 13, 1913. .......... 343 Figure 224. Willamette River gauge historic crest simulation on June 12, 1921. .......... 344 Figure 225. Willamette River gauge historic crest simulation on January 8, 1923. ....... 345 Figure 226. Willamette River gauge historic crest simulation on May 31, 1928. .......... 346 Figure 227. Willamette River gauge historic crest simulation on June 13, 1933. .......... 347 Figure 228. Willamette River gauge historic crest simulation on June 14, 1948. .......... 348 Figure 229. Willamette River gauge historic crest simulation on June 1, 1948. ............ 349 Figure 230. Willamette River gauge historic crest simulation on June 26, 1950. .......... 350 Figure 231. Willamette River gauge historic crest simulation on June 4, 1956. ............ 351 Figure 232. Willamette River gauge historic crest simulation on December 25, 1964. . 352 Figure 233. Willamette River gauge historic crest simulation on January 18, 1976. ..... 353 Figure 234. Willamette River gauge historic crest simulation on December 16, 1977. . 354 Figure 235. Willamette River gauge historic crest simulation on February 21, 1982. ... 355 Figure 236. Willamette River gauge historic crest simulation on June 9, 1996. ............ 356 Figure 237. Simulation of the Willamette River in 1897. .............................................. 357 Figure 238. Simulation of the Willamette River in 1940. .............................................. 358 Figure 239. Simulation of the Willamette River in 1954. .............................................. 359 Figure 240. Simulation of the Willamette River in 1975. .............................................. 360 Figure 241. Simulation of the Willamette River in 1979. .............................................. 361 Figure 242. Simulation of the Willamette River in 1990. .............................................. 362 Figure 243. Simulation of the Willamette River in 2011. .............................................. 363 Figure 244. Simulation of the Willamette River in 2014. .............................................. 364 20 Figure 245. Simulation of the Willamette River in 2017. .............................................. 365 Figure 246. Simulation of the Willamette River in 2020. .............................................. 366 Figure 247. Willamette River bathymetry in 1888. ........................................................ 367 Figure 248. Willamette River bathymetry in 2005. ........................................................ 368 Figure 249. Portland vegetation simulation in 1951. ...................................................... 369 Figure 250. Portland vegetation simulation in 1970. ...................................................... 370 Figure 251. Portland vegetation simulation in 1975. ...................................................... 371 Figure 252. Portland vegetation simulation in 1990. ...................................................... 372 Figure 253. Portland vegetation simulation in 1994. ...................................................... 373 Figure 254. Portland vegetation simulation in 2000. ...................................................... 374 Figure 255. Portland vegetation simulation in 2011. ...................................................... 375 Figure 256. Portland vegetation simulation in 2014. ...................................................... 376 Figure 257. Portland vegetation simulation in 2017. ...................................................... 377 Figure 258. Portland vegetation simulation in 2020. ...................................................... 378 Figure 259. Lower Albina neighborhood simulation in 1948. ....................................... 379 Figure 260. Lower Albina neighborhood simulation in 1960. ....................................... 380 Figure 261. Lower Albina neighborhood simulation in 1975. ....................................... 381 Figure 262. Lower Albina neighborhood simulation in 1990. ....................................... 382 Figure 263. Lower Albina neighborhood simulation in 2011. ....................................... 383 Figure 264. Lower Albina neighborhood simulation in 2014. ....................................... 384 Figure 265. Lower Albina neighborhood simulation in 2017. ....................................... 385 Figure 266. Lower Albina neighborhood simulation in 2020. ....................................... 386 Figure 267. Lower Albina neighborhood simulation in 2023. ....................................... 387 Figure 268. Lower Albina neighborhood gauge historic crest simulation on June 14, 1948. ............................................................................................................................ 388 Figure 269. Lower Albina neighborhood gauge historic crest simulation on June 26, 1950. ............................................................................................................................ 389 Figure 270. Lower Albina neighborhood gauge historic crest simulation on June 4, 1956. ............................................................................................................................ 390 Figure 271. Lower Albina neighborhood gauge historic crest simulation on December 25, 1964. ............................................................................................................................ 391 21 Figure 272. Lower Albina neighborhood gauge historic crest simulation on January 18, 1974. ............................................................................................................................ 392 Figure 273. Lower Albina neighborhood gauge historic crest simulation on December 16, 1977. ............................................................................................................................ 393 Figure 274. Lower Albina neighborhood gauge historic crest simulation on February 21, 1982. ............................................................................................................................ 394 Figure 275. Lower Albina neighborhood gauge historic crest simulation on February 24, 1986. ............................................................................................................................ 395 Figure 276. Lower Albina neighborhood gauge historic crest simulation on February 9, 1996. ............................................................................................................................ 396 Figure 277. Lower Albina neighborhood gauge historic crest simulation on June 2, 2011. ............................................................................................................................ 397 Figure 278. Lower Albina neighborhood gauge historic crest simulation on March 30, 2017. ............................................................................................................................ 398 Figure 279. Lower Albina neighborhood gauge historic crest simulation on April 4, 2019. ............................................................................................................................ 399 Figure 280. Lower Albina in 1948, site scale simulation. .............................................. 400 Figure 281. Lower Albina in 1960, site scale simulation. .............................................. 401 Figure 282. Lower Albina in 1975, site scale simulation. .............................................. 402 Figure 283. Lower Albina in 1990, site scale simulation. .............................................. 403 Figure 284. Lower Albina in 2011, site scale simulation. .............................................. 404 Figure 285. Lower Albina in 2014, site scale simulation. .............................................. 405 Figure 286. Lower Albina in 2017, site scale simulation. .............................................. 406 Figure 287. Lower Albina in 2020, site scale simulation. .............................................. 407 Figure 288. Lower Albina in 2023, site scale simulation. .............................................. 408 Figure 289. Lower Albina gauge historic crest simulation on June 6, 1948. ................. 409 Figure 290. Lower Albina gauge historic crest simulation on June 26, 1950. ............... 410 Figure 291. Lower Albina gauge historic crest simulation on June 4, 1956. ................. 411 Figure 292. Lower Albina gauge historic crest simulation on December 25, 1964. ...... 412 Figure 293. Lower Albina gauge historic crest simulation on January 18, 1974. .......... 413 Figure 294. Lower Albina gauge historic crest simulation on December 16, 1977. ...... 414 22 Figure 295. Lower Albina gauge historic crest simulation on February 21, 1982. ........ 415 Figure 296. Lower Albina gauge historic crest simulation on February 24, 1986. ........ 416 Figure 297. Lower Albina gauge historic crest simulation on February 9, 1996. .......... 417 Figure 298. Lower Albina gauge historic crest simulation on June 2, 2011. ................. 418 Figure 299. Lower Albina gauge historic crest simulation on March 30, 2017. ............ 419 Figure 300. Lower Albina gauge historic crest simulation on April 12, 2019. .............. 420 Figure 301. Wind simulation Scenario 1. ....................................................................... 421 Figure 302. Wind simulation for Option 1. Plan view, perspective, side view, and front view. ............................................................................................................................ 421 Figure 303. Wind simulation for Option 2. Plan view, perspective, side view, and front view ............................................................................................................................ 422 Figure 304. Wind simulation for Option 3. Plan view, perspective, side view, and front view. ............................................................................................................................ 422 Figure 305. Wind simulation for Option 4. Plan view, perspective, side view, and front view. ............................................................................................................................ 423 Figure 306. Wind simulation for Option 5. Plan view, perspective, side view, and front view. ............................................................................................................................ 423 Figure 307. Wind simulation for Option 6. Plan view, perspective, side view, and front view. ............................................................................................................................ 424 Figure 308. Wind simulation for Option 7. Plan view, perspective, side view, and front view. ............................................................................................................................ 424 Figure 309. Wind simulation for Option 8. Plan view, perspective, side view, and front view. ............................................................................................................................ 425 Figure 310. Wind simulation for Option 9. Plan view, perspective, side view, and front view. ............................................................................................................................ 425 Figure 311. Wind simulation for Option 10. Plan view, perspective, side view, and front view. ............................................................................................................................ 426 Figure 312. Wind simulation for Option 11. Plan view, perspective, side view, and front view. ............................................................................................................................ 426 Figure 313. Wind simulation for Option 12. Plan view, perspective, side view, and front view. ............................................................................................................................ 427 23 Figure 314. Wind simulation for Option 13. Plan view, perspective, side view, and front view. ............................................................................................................................ 427 Figure 315. Wind simulation Scenario 2. ....................................................................... 428 Figure 316. Wind simulation for Option 1. Plan view, perspective, side view, and front view. ............................................................................................................................ 428 Figure 317. Wind simulation for Option 2. Plan view, perspective, side view, and front view. ............................................................................................................................ 429 Figure 318. Wind simulation for Option 3. Plan view, perspective, side view, and front view. ............................................................................................................................ 429 Figure 319. Wind simulation for Option 4. Plan view, perspective, side view, and front view. ............................................................................................................................ 430 Figure 320. Wind simulation for Option 5. Plan view, perspective, side view, and front view. ............................................................................................................................ 430 Figure 321. Wind simulation for Option 6. Plan view, perspective, side view, and front view. ............................................................................................................................ 431 Figure 322. Wind simulation for Option 7. Plan view, perspective, side view, and front view. ............................................................................................................................ 431 Figure 323. Wind simulation for Option 8. Plan view, perspective, side view, and front view. ............................................................................................................................ 432 Figure 324. Wind simulation for Option 9. Plan view, perspective, side view, and front view. ............................................................................................................................ 432 Figure 325. Wind simulation for Option 10. Plan view, perspective, side view, and front view. ............................................................................................................................ 433 Figure 326. Wind simulation for Option 11. Plan view, perspective, side view, and front view. ............................................................................................................................ 433 Figure 327. Wind simulation for Option 12. Plan view, perspective, side view, and front view. ............................................................................................................................ 434 Figure 328. Wind simulation for Option 13. Plan view, perspective, side view, and front view. ............................................................................................................................ 434 Figure 329. Wind simulation Scenario 3. ....................................................................... 435 24 Figure 330. Wind simulation for Option 1. Plan view, perspective, side view, and front view. ............................................................................................................................ 435 Figure 331. Wind simulation for Option 2. Plan view, perspective, side view, and front view. ............................................................................................................................ 436 Figure 332. Wind simulation for Option 3. Plan view, perspective, side view, and front view. ............................................................................................................................ 436 Figure 333. Wind simulation for Option 4. Plan view, perspective, side view, and front view. ............................................................................................................................ 437 Figure 334. Wind simulation for Option 5. Plan view, perspective, side view, and front view. ............................................................................................................................ 437 Figure 335. Wind simulation for Option 6. Plan view, perspective, side view, and front view. ............................................................................................................................ 438 Figure 336. Wind simulation for Option 7. Plan view, perspective, side view, and front view. ............................................................................................................................ 438 Figure 337. Wind simulation for Option 8. Plan view, perspective, side view, and front view. ............................................................................................................................ 439 Figure 338. Wind simulation for Option 9. Plan view, perspective, side view, and front view. ............................................................................................................................ 439 Figure 339. Wind simulation for Option 10. Plan view, perspective, side view, and front view. ............................................................................................................................ 440 Figure 340. Wind simulation for Option 11. Plan view, perspective, side view, and front view. ............................................................................................................................ 440 Figure 341. Wind simulation for Option 12. Plan view, perspective, side view, and front view. ............................................................................................................................ 441 Figure 342. Wind simulation for Option 13. Plan view, perspective, side view, and front view. ............................................................................................................................ 441 Figure 343. Wind simulation Scenario 4. ....................................................................... 442 Figure 344. Wind simulation for Option 1 and 2. Perspective view with horizontal wind vectors and vertical wind vectors. .............................................................................................. 442 Figure 345. Wind simulation for Option 3 and 4. Perspective view with horizontal wind vectors and vertical wind vectors. .............................................................................................. 443 25 Figure 346. Wind simulation for Option 5 and 6. Perspective view with horizontal wind vectors and vertical wind vectors. .............................................................................................. 443 Figure 347. Wind simulation for Option 7 and 8. Perspective view with horizontal wind vectors and vertical wind vectors. .............................................................................................. 444 Figure 348. Wind simulation for Option 8 and 9. Perspective view with horizontal wind vectors and vertical wind vectors. .............................................................................................. 444 Figure 349. Wind simulation for Option 11 and 12. Perspective view with horizontal wind vectors and vertical wind vectors. ..................................................................................... 445 Figure 350. Wind simulation for Option 13. Perspective view with horizontal wind vectors and vertical wind vectors. .............................................................................................. 445 Figure 351. Groundhog Grasshopper definition for surface water flow. ....................... 446 Figure 352. Ladybug Grasshopper definition for wind rose analysis. ............................ 447 Figure 353. Definition for geomorphological simulation in Grasshopper. .................... 448 Figure 354. Definition for hydrological simulation in Grasshopper. ............................. 449 Figure 355. Definition for wind simulation in Grasshopper. ......................................... 450 Figure 356. Definition for vegetation simulation in Grasshopper. ................................. 451 Figure 357. Definition for UTCI simulation in Grasshopper. ........................................ 452 26 LIST OF TABLES Table Page Table 1. Differences Between Research and Design .................................................................... 32 Table 2. Suitability analysis of potential sites for design experiment ........................................ 179 Table 3. Willamette River gauge data (Morrison Bridge gauge) ............................................... 201 27 LIST OF SCHEMES Scheme Page Scheme 1. Albina neighborhood building footprint areas vs. vegetation area. .......................... 223 28 I. INTRODUCTION 1.1 Statement of the Problem The growing urgency of climate-related issues and their compounding negative effects require innovative design strategies. While landform architecture has a significant potential to address such challenges, the current approach in research and practice remains predominantly form-oriented. The form-oriented approach neglects the site, its history, and landscape processes that have the potential to shape the building. Such an approach fails to fully address critical challenges, such as urban heat growth, flooding, and habitat loss. These issues are especially evident in urban areas like Portland, Oregon, where postindustrial land, hydrological shifts, and disrupted ecology lead to environmental problems. The Lower Albina neighborhood offers an opportunity to critically rethink infrastructural violence and erasure via the lens of landform architecture. The lack of theoretical, methodological, and evaluative frameworks for landform architecture diminishes its potential to respond to climate-related challenges. There is a need to develop a process-based approach to landform architecture that: • Establishes a theoretical framework that repositions landform architecture within a broader historical context by embracing site history and unique characteristics. • Proposes a methodological framework that integrates site-specific landscape processes into the design process. • Illustrates an evaluative framework that incorporates digital modeling and 3D simulation tools to visualize time, change, and history, along with site-specific processes to design a landform building and adjacent landscape within the selected site in the Lower Albina neighborhood. The gap in knowledge and practice limits the potential of landform architecture. This study proposes a paradigm shift of landform architecture to process-oriented design that embraces the concept of time and change to seamlessly merge with context while mitigating site- specific problems. By focusing on the selected site for a design experiment, this study illustrates how process-based landform architecture engages with the site, its history, and environmental processes. Such an approach has the potential to develop a design that creates comfortable outdoor conditions and responds to climate-related issues. 29 1.2 Purpose of the Study The history of landform design dates to prehistoric times, where landform hills and mounds were used for settlements, military defense structures, religious purposes, and protection from natural forces. More recently, landforms have been a source of inspiration for architects, landscape architects, and artists. With the development of digital technologies and construction practices, architects have been able to design landform buildings that use landscape as a generative metaphor to imitate natural forms. Landscape architects have designed landforms for a range of expressive and functional purposes, such as directing movement, providing visual frames and foci, dividing space, and fostering stormwater management. Land artists have used earth as a material to create site-specific earthworks and landforms in the landscape. While landforms are understood by geomorphologists in terms of their form and the processes that shape them, current theory and practice of landform architecture focuses on a form-based approach based on the metaphoric interpretation of nature, rather than landscape processes and their potential to address large-scale problems. Landscape processes create a dynamic system that is constantly changing over time. In this research, landscape processes that shape the resultant form are a key research interest for design theory and practice. Understanding these processes is essential for designers to move beyond the static representation of the relationship between nature and architecture toward the living and changing qualities of the environment. Such a shift enables more responsive and integrated design solutions that can address climate change issues. The purpose of the study is to develop a process-based approach to landform architecture that integrates landscape history, natural processes, and a site’s challenges into design. Such an approach moves beyond form-based design solutions to process-oriented architecture that is responsive to climate-related challenges. 1.3 Objectives of the Study The objective of this study is to develop a process-based landscape approach to landform architecture that addresses climate-related challenges and integrates site-specific processes into design. The research objectives are: 30 • Theoretical: Critique existing landform architecture theory and practice to identify gaps in knowledge and a process-based landscape approach to landform architecture, where landforms are understood as a process rather than a fixed form. • Methodological: Establish a design method that integrates landscape processes into landform architecture. • Evaluative: Test and refine the proposed approach through design experimentation by using digital modeling and simulation tools. By structuring the research around these interconnected objectives, this study provides a framework for advancing landform architecture as a process-oriented design practice. 1.4 Definition of Terms Research through design (RTD): An approach to scientific inquiry that takes advantage of the unique insights gained through design practice to provide a better understanding of complex and future-oriented issues in the design field (Frayling, 1993). Simulation: The action or practice of simulating, the technique of imitating the behavior of some situation or process by means of a suitable analogous situation, especially for the purpose of study (Oxford University Press, n.d.-b). Case study: A well-documented and systematic examination of the process, decision- making, and outcomes of a project that is undertaken for the purpose of informing future practice, policy, theory, and/or education (Francis, 1999). Landform: A content-driven art form that operates between different categories of urbanism, landscape, architecture, and sculpture, and that brings together different levels of nature (Jencks, 2002). Microclimate: The climate of a very small or restricted area, especially when this differs from the climate of the surrounding area (Oxford University Press, n.d.-a). Urban Heat Island (UHI): A effect that occurs when a developed area experiences higher temperature than nearby rural areas, or when areas experience hotter temperatures within a city (U.S. EPA, 2022). Universal Thermal Climate Index (UTCI): A measure of the human physiological response to the thermal environment. The UTCI describes the synergistic heat exchanges between the thermal environment and the human body (Climate-ADAPT, n.d.-b). 31 Mean Radiant Temperature (MRT) : The average temperature of all surfaces that surround a person, which represents the combined radiant heat exchange between a human body and the environment (Climate-ADAPT, n.d.-a). *Other terms developed in this dissertation are introduced later in the body of the text. 1.5 Research Through Design Research through Design (RTD) is a practice-based approach that positions design as a process and a mode of inquiry. It generates new knowledge through an iterative design process, where practice and theory inform each other. In this research, RTD is a general methodological approach that informs subsequent methods. Multiple publications on RTD claim that connection between research and design creates a fertile ground and produces a new type of knowledge. Furthermore, RTD considers design as a method of inquiry to solve complex spatial questions. While RTD became one of the most-used methods in design disciplines over the last few decades, this method is still discussed and debated because there is no agreed-upon model that allows its practical use. The present study argues that the RTD method still lacks practical guidelines to use appropriately and thus creates confusion for practitioners and researchers to thoroughly understand and apply the method. To understand the RTD method from academic and practice perspectives, it is necessary to define the terms “research” and “design” separately. Despite many definitions of both terms, I propose to use the one that is cited in design publications (Lenzholzer et al., 2018). In general discourse, research is understood to be a process of searching and researching again. Glanville defines research as an act of seeking deeply, with intensity, where the result of the search is a “new knowledge” (Glanville, 2014). The misunderstanding of the term “research” creates confusion, especially for practitioners, who are stating that they produce new knowledge through their practice. In contrast, the misunderstanding of the term “design” in the academic environment is mostly rooted in the design process. In creative disciplines, design is understood as a way of giving form and function. Carl Steinitz proposed a dual framework for thinking about design as a “verb” and design as a “noun” (Steinitz, 1995): Design as a verb is used for asking questions, and design as a noun is used for choosing among answers. In other words, design is an activity and process, as well as the result of activity in which a product has been given a shape. 32 There are many studies that support the idea that academics and practitioners learn and produce knowledge differently (Table 1). While there is a general consensus that research is more objective and design is more subjective (Simon, 1974; Schön, 1983; Lawson, 2010), there are other differences. Good research is characterized by a systematic process, which includes validity, transparency, communicability, and originality (Archer, 1995), and, as a result, produces fact-based knowledge. On the other hand, design is defined by project goals and requirements and produces practical knowledge (Schön, 1983; Lawson, 2010; Cross, 2006). Research questions can be identified as “puzzles” that scientists set for themselves, whereas design questions are “wicked” (Cross, 2006), typically not well defined and lacking all necessary information (Lawson, 2010). Researchers solve problems by analysis, while designers solve problems by synthesis (Cross, 2006). In other words, practitioners learn about the problem through the process of finding the solution, whereas academics are focused on studying the problem. The final outcome of research is new knowledge that is oriented toward theory development. On the contrary, in practice, design is the final product that offers specific solutions to a problem. Table 1 Differences between research and design Research Design Type of perception Objective Subjective Type of knowledge (Simon, 1974; Darke,1979; Schön, 1983; Lawson, 2010) Explicit knowledge Rational Fact-based How things are Tacit knowledge Practical Appropriate How things ought to be Type of questions (Cross, 2006; Lawson, 2010) “Puzzle” questions “Wicked” questions Methods of developing knowledge (Cross, 2006) Controlled experiment, classification, analysis Modeling, pattern, synthesis 33 Research Design Type of perception Objective Subjective Process (Lawson, 2010) Problem-defining Analysis Problem-focused strategy Systematic process Problem-solving Synthesis Solution-focused strategy Process is based on project requirements Final outcome (Cross, 2006) Knowledge General concept or theory Design Specific solution The essential difference between research and design is that academics use a problem- focused strategy, while practitioners use a problem-solving strategy. In other words, academics and practitioners understand solutions to a specific problem differently and produce different types of knowledge. In academic discourse, the combination of research and design, especially in creative disciplines, was understood as an approach that can answer complex questions (Archer, 1995; Zimmerman et al., 2007) and incorporate design activity into the research process. The discussion about the relationship between research and design started with the urge to find new research methods to answer spatial questions. In 1993, design theorist Christopher Frayling described such a relationship in his seminal paper “Research in Art and Design,” where he pointed out that while research has historically been associated with words, not actions, that type of activity is far from the typical designers’ actions. Thus, Frayling developed a framework, which is used today as well, to describe relationships between research and design. He identified three groups of “research and design interaction[s]” based on relationships between academia and practice: (1) research for art and design, (2) research into art and design, and (3) research through art and design (Frayling, 1993). Research for art and design includes the production of an artifact and gathering of research materials. The study in this category is focused on the design product and design process, and on what designers do when they collect information for the purpose of designing. Here, research outcomes inform the design process, so both design product and design process 34 benefit. In landscape architecture, this may include material studies or soil testing for green roofs (Simon & Steinemann, 2000) and produce design guidelines. Research into art and design includes historical, aesthetic, and perceptual research into theoretical perspectives of art and design. The study in this category is focused on the design product. In landscape architecture, this may include a critical study of landscape, urban design, and their interpretation from different points of view (Nijhuis & Bobbink, 2012), as well as comparative case study analysis (Brinkhuijsen, 2008) and evaluation of design after realization (Meir et al., 2009; Sherman et al., 2005). Research through art and design includes research processes that use design. Here, the act of design(ing) is considered as a research method. In order to consider it as research, however, the study in this category requires careful step-by-step documentation of the process. The result of such research cannot be just design itself: it should produce a new knowledge (Frayling, 1993). In landscape architecture, RTD is focused on the design process as a research instrument (van den Brink, 2017). Frayling’s categories were a stepping stone in the development of the RTD method, as they prompted a discussion that design can be considered as a research method. And in order to become a research strategy that produces a new type of knowledge, RTD would require a theoretical framework. In the landscape architecture academic environment, Frayling’s categories fostered a discussion about whether design has a potential to be accepted as a research method, and if so, how. This period was signified by the use of different terms that were supposed to describe the role of design and the application of its insights in research. Steenbergen et al. (2008) used “design experiment” and “experimental design” to describe design research in landscape architecture. A design experiment, in their understanding, is developed within the specific context, while investigation requires different design-based strategies. Experimental design, on the contrary, is developed when context and design strategies are changeable. Deming and Swaffield (2011) introduced “projective design,” which represents a unique design process for research outcome. Projective design, in their definition, helps to incorporate a design framework and evaluation of design projects by testing them through design processes (Deming & Swaffield, 2011). The above-mentioned literature also emphasized that design needs to be guided by a clear research question, appropriate method, and valuable research outcome. 35 Nevertheless, it was not obvious how to apply these requirements into a research process. In my opinion, the design strategy during that period still remains poorly understood, even though it was frequently discussed. In contrast to academia, the application of Frayling’s framework in practice was signified by a shift to the idea that design can produce recognizable knowledge (Davis, 2008; Rodgers & Yee, 2015; Zeisel, 2006). In practice, such research was described as “practice-based” (Candy & Edmonds, 2018) or “practice-led” (Smith, 2009). Practice-based design research, contrary to academic understanding, was focused on the role of the practitioner, who had the skills and expertise in the field to undertake such research. Vaughan (2017) claimed in her book Practice- based Design Research that design-specific skills are the foundation needed to carry out practice-based research. The result of practice-based research was understood as one that advances knowledge and provides valuable application for practice. During this period, design as research was described with the use of different, yet similar, terms. Different publications (Archer, 1995; Downton, 2005; Zimmerman et al., 2010; Collins, 2019; Glanville, 2014; Vaughan, 2017) also supported the idea that RTD is associated with learning through the process of designing. The huge development during this period was an alignment of RTD with research criteria, such as a research question, appropriate methodology, and a clear outcome. However, the process of designing was still underrepresented. As the RTD method continues to develop in the landscape architecture field, some scholars have begun to investigate practical guidelines to use the RTD method. Multiple publications and studies have explored research as a part of the design process (Lenzholzer et al., 2013; RTD Conference Series, 2015). One publication described a three-staged study, where the major part of the research was focused on in-depth interviews and surveys with university faculty. Following the interviews, Milburn and Brown (2003) developed a survey, where landscape architecture educators discovered that there are three design stages where research is incorporated into design: before design, during design, and after design. Before design includes library research, precedent study, case study analysis, and site analysis. During design, research influences the concept development. Finally, after design research allows the evaluation of the design itself (Milburn & Brown, 2003). 36 The most recent publication by Nijhuis and de Vries (2019) describes the RTD process as a sequence of design problem, design process, and design solution. The authors distinguish three interconnected phases of the design process: analysis, synthesis, and evaluation. The analysis phase includes data collection and understanding the context. The synthesis phase introduces different form-based solutions to the problem. The evaluation phase is focused on solution assessment (Nijhuis, & de Vries, 2019). At the same time, there is no data in the publications cited above that prove that practitioners incorporate research into the design process as the authors described. While the general framework for the design process proposed by Nijhuis and de Vries is valuable, the design itself is a more iterative and complex process. Additionally, there is a lack of literature that describes how RTD should be carried out in a practical sense. Though scholars identified what the RTD approach means and explored the potential influences on knowledge, there is little information on how practitioners understand this research approach and design processes. Practitioners rarely communicate about their design processes; it is rather something more mystical than well documented and well explained. Currently, the number of practitioners who communicate their work as research-influenced is growing. However, they misuse the term “research” in the design process and do not have a complete understanding of what RTD actually means. RTD is a relatively new method in design disciplines, which is considered to be a link between academia and practice, as well as research and design. Despite scholars’ and practitioners’ rising interest in this research method, that link is still not well established. The main difference between academic and practice approaches to RTD is that researchers and designers think differently. This explains why academics focus on discovering the theory, while designers focus on the solution and final result. In academia, the strategy to address the research question is problem-focused, while in practice it is problem-solving. Researchers solve problem by analysis, while practitioners solve by synthesis. In other words, researchers study the problem, while designers discover something through the process of making and trying out multiple solutions. While RTD might look very similar to the actual design process, its goal, however, is new knowledge, not the design itself. Contrary to the typical design process, it requires careful documentation of the entire research process, so someone else could recreate that process too. 37 1.6 Methods This research aims to contribute to existing theory and design knowledge in landform architecture and uses a combination of research methods to answer research questions. This study consisted of four stages (Figure 1): Stage 1. Review of the existing state of theory and practice. Stage 2. Development of a methodological framework for a process-based approach to landform architecture. Stage 3. Design experimentation. Stage 4. Environmental performance evaluation. Figure 1. Stages of the research. By structuring research in stages, where each stage builds on findings from the previous one, the study aimed to create a systematic approach to develop and test a process-based framework to landform architecture. 38 1.6.1 Stage 1 Stage 1 examines the existing state of knowledge both in research and practice in order to identify a knowledge gap and critique existing landform architecture theory. This stage (Figure 2) examines how landforms have been utilized in various fields and combines the knowledge and insights gathered from different disciplines to shape a comprehensive approach toward landform architecture. This stage enables a deep understanding of how the concept of landform architecture has developed over time, how it has been employed in other areas, and how insights from other fields could be incorporated to develop an approach to landform architecture design. Figure 2. Stage 1. The objectives of Stage 1 were to: • trace the evolutionary development of landform architecture, • understand how landforms have been used in other disciplines, and • synthesize how knowledge from other disciplines could inform an approach to landform architecture. 39 This stage of research consisted of the literature review and precedent study analysis. Qualitative data, such as text and images, were employed for analysis. The sources for analysis included peer-reviewed articles, books, architects’ and artists’ websites, and site visits to some precedent study projects. 1.6.1.1 Literature Review The literature review addressed the following categories of landform expression: • landform in ancient cultures, • landform in art, • landform in landscape architecture, and • landform in architecture. These categories were selected to provide a comprehensive understanding of how landforms have been represented, utilized, and conceptualized across different disciplines and historical contexts. The literature review informed theory and helped to: • explore the use of landforms throughout history across cultures and disciplines, • explore the development of landform architecture theory, • critique landform architecture theory, and • identify the theoretical potential of landform architecture. 1.6.1.2 Precedent Study The precedent study analysis examined selected projects that integrated landforms into art, landscape architecture, and architecture. Such analysis helped to connect theoretical research with design practice. The list of precedent study projects was derived from the literature review and analysis of key themes and trends in the field. The precedent study included the following selection criteria: • The project resembled a landform (vegetated hills, grass mounds, earthworks). • The project description included words such as “earthwork” or “landform.” • The project was integrated into the context in a way that asserted the continuity of the context. The literature review identified the following precedents: 40 1. Architecture • The Möbius House in the Netherlands by UNStudio • HtwoOexpo pavilion in the Netherlands by NOX • Library Delft University of Technology in the Netherlands by Mecanoo • Stranded Sears Towers in Chicago by Greg Lynn • Yokohama International Port Terminal by FOA • Fort L’Empereur in Algiers by Le Corbusier • NTR Headquarters in the Netherlands by MVRDV • Villa VPRO in the Netherlands by MVRDV • Olympic Sculpture Park in Seattle by Weiss/Manfredi • City of Culture of Galicia in Spain by Peter Eisenman • Mountain in Spain by Vicente Guallart • New Ma