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

Zhenhang Cai, Rui Zhu, Emma Ruggiero, Galen Newman and Jennifer A. Horney ()
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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

Land, 2023, vol. 12, issue 3, 1-14

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.

Keywords: L-THIA; low-impact development; performance modeling; green infrastructure; urbanization; runoff; pollutant loading (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jlands:v:12:y:2023:i:3:p:612-:d:1087577

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