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Publication Detail

Title: Integrating Prediction and Performance Models into Scenario-based Resilient Community Design.

Authors: Newman, Galen; Kim, Youjung; Joshi, Karishma; Liu, Jiali

Published In J Digit Landsc Archit, (2020)

Abstract: 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.

PubMed ID: 32856026 Exiting the NIEHS site

MeSH Terms: No MeSH terms associated with this publication

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