Peter Stempel, Ellie Nasr-Azadani, Annette Grilli, Stephan Grilli, Elin Shuh, Felix Groetsch, Isaac Ginis, Deborah Crowley, J P Walsh, Isabel Whaling, Christopher Damon, Roland Duhaime, Pam Rubinoff, Catherine Schmitt
{"title":"3D Morphodynamic Visualizations of Storm Impacts for Decision Support.","authors":"Peter Stempel, Ellie Nasr-Azadani, Annette Grilli, Stephan Grilli, Elin Shuh, Felix Groetsch, Isaac Ginis, Deborah Crowley, J P Walsh, Isabel Whaling, Christopher Damon, Roland Duhaime, Pam Rubinoff, Catherine Schmitt","doi":"10.14627/537740058","DOIUrl":"10.14627/537740058","url":null,"abstract":"<p><p>3D flood visualizations are commonly used by coastal managers and other experts to engage the public regarding storm impacts, and to support management decisions. 3D flood visualizations do not, however, capture physical changes to the landscape, such as erosion, that result from storms and do significant damage to human habitations and change ecological systems. We address this gap by presenting novel 3D morphodynamic visualizations that depict physical changes to the coastal morphology wrought by modelled storms. We propose these visualizations may be more effective than flood visualizations as decision support tools in situations where shoreline change is a factor. We describe the process of creating the visualizations for storm, sea level, and mitigation scenarios and make observations of their possibilities and limitations. The visualizations plainly show profoundly different outcomes than flood visualizations for the same storm. These visualizations may be extremely useful in the sedimentary contexts considered. However, the lack of clear conventions and complexity of creating these visualizations means that more experimentation is required before such visualizations can be considered for wide application.</p>","PeriodicalId":93116,"journal":{"name":"Journal of digital landscape architecture : JoDLA","volume":"2023 8","pages":"554-563"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12338102/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144823374","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Galen Newman, Youjung Kim, Karishma Joshi, Jiali Liu
{"title":"Integrating Prediction and Performance Models into Scenario-based Resilient Community Design.","authors":"Galen Newman, Youjung Kim, Karishma Joshi, Jiali Liu","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Urban expansion can worsen climate change conditions and enlarge hazard zones. Sea level rise due to climate change makes coastal populations more susceptible to flood risks. The use of land change prediction modelling to inform scenario-based planning has been shown to help increase capabilities when dealing with uncertainties in urbanization such as urban growth and flood risk, when compared to singular comprehensive plans. This research uses the Land Transformation model to predict three different urban growth scenarios for Tampa, FL to determine how effective the current comprehensive plan is in adapting urban growth to decreasing flood risk and pollutant load. To achieve this, the research develops master plans according to each scenario then assesses their probable impact using the Long-Term Hydrologic Impact Analysis Low Impact Development Spreadsheet as a performance model. Findings show that the current future land use plan for Tampa, while it appears to be better than current patterns of development, has higher flood exposure, stormwater runoff, and pollutant discharge that current conditions but more than a purely resilient approach to future growth.</p>","PeriodicalId":93116,"journal":{"name":"Journal of digital landscape architecture : JoDLA","volume":"5 ","pages":"510-520"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7448720/pdf/nihms-1617538.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38319032","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}