{"corpus_id":109644637,"paper_sha":"0cfe169eb450ae3d430459358f661ddb47530398","doi":"10.1061/(ASCE)0733-9496(2001)127:1(13)","arxiv_id":null,"pmid":null,"pmcid":null,"mag_id":1994056660,"dblp_id":null,"acl_id":null,"title":"Long-Term Hydrologic Impact of Urbanization: A Tale of Two Models","year":2001,"publication_date":"2001-02-01","venue":"","journal":{"name":"Journal of Water Resources Planning and Management","pages":"13-19","volume":"127"},"journal_issn":null,"journal_title":null,"publication_types":[],"pubmed_pub_types":null,"s2_fields_of_study":["Environmental Science"],"reference_count":10,"citation_count":158,"influential_citation_count":10,"is_open_access":false,"arxiv_categories":null,"arxiv_license":null,"arxiv_journal_ref":null,"mesh_headings":null,"chemicals":null,"comments_corrections":null,"source_flags":1,"s2_open_access_pdf_url":null,"s2_open_access_landing_url":null,"s2_open_access_license":null,"s2_open_access_status":null,"pmc_open_access_pdf_url":null,"pmc_open_access_landing_url":null,"pmc_open_access_license":null,"pmc_open_access_status":null,"unpaywall_open_access_pdf_url":null,"unpaywall_open_access_landing_url":null,"unpaywall_open_access_license":null,"unpaywall_open_access_status":null,"abstract":"At a watershed scale, land-use change can increase runoff, flooding, and nonpoint source pollution and degrade downstream water bodies. Thus it is important to assess the potential hydrologic impacts of land-use change prior to watershed development. The L-THIA (Long-Term Hydrologic Impact Assessment) model is a tool to initially assess how land-use change affects annual average runoff and is based only on readily available data. Because L-THIA is relatively new, it is important to test it against other, well-accepted methods. The U.S. Environmental Protection Agency's SWMM (Storm Water Management Model), a well-known and widely used model, was used to perform runoff calculations for comparison with L-THIA. Applications of L-THIA and SWMM to two small watersheds in Chicago show that L-THIA predicts annual average runoff between 1.1 and 23.7% higher than SWMM. The agreement between the results is higher for larger watersheds. Both models predict a linear relationship between average annual runoff and increasing imperviousness. However, for a 10% increase in imperviousness, SWMM predicts an increase between 9.8 and 10.2% in annual average runoff, whereas L-THIA predicts an increase between 6.1 and 7.8%. Overall, L-THIA was easier and quicker to use than SWMM, because SWMM required time-consuming input data collection and formatting. Results of this and other analyses suggest that L-THIA can be an appropriate tool for initial assessment of the relative impacts of land-use change scenarios.","claims":[{"public_id":"cl_a79552840a4606f627202a3f9c84fd4e","status":"active","text":"Agreement between L-THIA and SWMM results is higher for larger watersheds.","confidence":0.89,"contributors":[{"id":1,"public_id":"12632b8b5f","public_label":"Anonymous (12632b8b5f)","roles":["extraction"],"url":"https://sah.borca.ai/u/12632b8b5f"}],"url":"https://sah.borca.ai/claims/cl_a79552840a4606f627202a3f9c84fd4e"},{"public_id":"cl_c591b9c00761e2462c911a314feaf77d","status":"active","text":"Both models predict a linear relationship between average annual runoff and increasing imperviousness.","confidence":0.96,"contributors":[{"id":1,"public_id":"12632b8b5f","public_label":"Anonymous 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(12632b8b5f)","roles":["extraction"],"url":"https://sah.borca.ai/u/12632b8b5f"}],"url":"https://sah.borca.ai/claims/cl_259a0254de72ecdd3083362385c2c97e"},{"public_id":"cl_b11272ae7a7de892328e790205908371","status":"active","text":"L-THIA is easier and quicker to use than SWMM because SWMM requires time-consuming input data collection and formatting.","confidence":0.94,"contributors":[{"id":1,"public_id":"12632b8b5f","public_label":"Anonymous (12632b8b5f)","roles":["extraction"],"url":"https://sah.borca.ai/u/12632b8b5f"}],"url":"https://sah.borca.ai/claims/cl_b11272ae7a7de892328e790205908371"},{"public_id":"cl_b426be291826af967009b47e4920d96d","status":"active","text":"L-THIA predicts annual average runoff between 1.1% and 23.7% higher than SWMM for the two small Chicago watersheds analyzed.","confidence":0.98,"contributors":[{"id":1,"public_id":"12632b8b5f","public_label":"Anonymous 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