Cai, ZhenhangZhu, RuiRuggiero, EmmaNewman, GalenHorney, Jennifer A.2024-03-012024-03-012023-03-04Cai, Zhenhang, Rui Zhu, Emma Ruggiero, Galen Newman, and Jennifer A. Horney. 2023. "Calculating the Environmental Impacts of Low-Impact Development Using Long-Term Hydrologic Impact Assessment: A Review of Model Applications" Land 12, no. 3: 612. https://doi.org/10.3390/land120306122073-445Xhttps://udspace.udel.edu/handle/19716/34089This article was originally published in Land. The version of record is available at: https://doi.org/10.3390/land12030612. © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).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.en-USAttribution 4.0 InternationalL-THIAlow-impact developmentperformance modelinggreen infrastructureurbanizationrunoffpollutant loadingsustainable cities and communitiesclimate actionArticle