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Managing Uncertainty in Runoff Estimation with the U.S. Environmental Protection Agency National Stormwater Calculator.
Schifman, L A; Tryby, M E; Berner, J; Shuster, W D.
Afiliação
  • Schifman LA; Management Research Laboratory, U.S. Environmental Protection Agency, 26W. Martin Luther King Dr., Cincinnati, Ohio 45268; and Landscape.
  • Tryby ME; Management Research Laboratory, U.S. Environmental Protection Agency, 26W. Martin Luther King Dr., Cincinnati, Ohio 45268; and Landscape.
  • Berner J; National Risk Management Research Laboratory, U.S. Environmental Protection Agency, Washington, D.C. 20460.
  • Shuster WD; Management Research Laboratory, U.S. Environmental Protection Agency, 26W. Martin Luther King Dr., Cincinnati, Ohio 45268; and Landscape.
J Am Water Resour Assoc ; 54(1): 148-159, 2019.
Article em En | MEDLINE | ID: mdl-31631958
The U.S. Environmental Protection Agency National Stormwater Calculator (NSWC) simplifies the task of estimating runoff through a straightforward simulation process based on the EPA Stormwater Management Model. The NSWC accesses localized climate and soil hydrology data, and options to experiment with low-impact development (LID) features for parcels up to 5 ha in size. We discuss how the NSWC treats the urban hydrologic cycle and focus on the estimation uncertainty in soil hydrology and its impact on runoff simulation by comparing field-measured soil hydrologic data from 12 cities to corresponding NSWC estimates in three case studies. The default NSWC hydraulic conductivity is 10.1 mm/h, which underestimates conductivity measurements for New Orleans, Louisiana (95 ± 27 mm/h) and overestimates that for Omaha, Nebraska (3.0 ± 1.0 mm/h). Across all cities, the NSWC prediction, on average, underestimated hydraulic conductivity by 10.5 mm/h compared to corresponding measured values. In evaluating how LID interact with soil hydrology and runoff response, we found direct hydrologic interaction with pre-existing soil shows high sensitivity in runoff prediction, whereas LID isolated from soils show less impact. Simulations with LID on higher permeability soils indicate that nearly all of pre-LID runoff is treated; while features interacting with less-permeable soils treat only 50%. We highlight the NSWC as a screening-level tool for site runoff dynamics and its suitability in stormwater management.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: J Am Water Resour Assoc Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: J Am Water Resour Assoc Ano de publicação: 2019 Tipo de documento: Article