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Calculating the Environmental Impacts of Low-Impact Development Using Long-Term Hydrologic Impact Assessment: A Review of Model Applications

Author

Listed:
  • Zhenhang Cai

    (Department of Landscape Architecture and Urban Planning, Texas A&M University, College Station, TX 77843, USA)

  • Rui Zhu

    (Department of Landscape Architecture and Urban Planning, Texas A&M University, College Station, TX 77843, USA)

  • Emma Ruggiero

    (Department of Plant and Soil Sciences, University of Delaware, Newark, DE 19716, USA)

  • Galen Newman

    (Department of Landscape Architecture and Urban Planning, Texas A&M University, College Station, TX 77843, USA)

  • Jennifer A. Horney

    (Epidemiology Program, University of Delaware, Newark, DE 19716, USA)

Abstract

Low-impact development (LID) is a planning and design strategy that addresses water quality and quantity while providing co-benefits in the urban and suburban landscape. The Long-Term Hydrologic Impact Assessment (L-THIA) model estimates runoff and pollutant loadings using simple inputs of land use, soil type, and climatic data for the watershed-scale analysis of average annual runoff based on curve number analysis. Using Scopus, Web of Science, and Google Scholar, we screened 303 articles that included the search term “L-THIA”, identifying 47 where L-THIA was used as the primary research method. After review, articles were categorized on the basis of the primary purpose of the use of L-THIA, including site screening, future scenarios and long-term impacts, site planning and design, economic impacts, model verification and calibration, and broader applications including policy development or flood mitigation. A growing body of research documents the use of L-THIA models across landscapes in applications such as the simulations of pollutant loadings for land use change scenarios and the evaluation of designs and cost-effectiveness. While the existing literature demonstrates that L-THIA models are a useful tool, future directions should include more innovative applications such as intentional community engagement and a focus on equity, climate change impacts, and the return on investment and performance of LID practices to address gaps in knowledge.

Suggested Citation

  • Zhenhang Cai & Rui Zhu & Emma Ruggiero & Galen Newman & Jennifer A. Horney, 2023. "Calculating the Environmental Impacts of Low-Impact Development Using Long-Term Hydrologic Impact Assessment: A Review of Model Applications," Land, MDPI, vol. 12(3), pages 1-14, March.
  • Handle: RePEc:gam:jlands:v:12:y:2023:i:3:p:612-:d:1087577
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    References listed on IDEAS

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    3. Stephan Hügel & Anna R. Davies, 2020. "Public participation, engagement, and climate change adaptation: A review of the research literature," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 11(4), July.
    4. Galen Newman & Garett T. Sansom & Siyu Yu & Katie R. Kirsch & Dongying Li & Youjung Kim & Jennifer A. Horney & Gunwoo Kim & Saima Musharrat, 2022. "A Framework for Evaluating the Effects of Green Infrastructure in Mitigating Pollutant Transferal and Flood Events in Sunnyside, Houston, TX," Sustainability, MDPI, vol. 14(7), pages 1-16, April.
    5. Galen Newman & Tianqi Shi & Zhen Yao & Dongying Li & Garett Sansom & Katie Kirsch & Gaston Casillas & Jennifer Horney, 2020. "Citizen Science-Informed Community Master Planning: Land Use and Built Environment Changes to Increase Flood Resilience and Decrease Contaminant Exposure," IJERPH, MDPI, vol. 17(2), pages 1-13, January.
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