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Numerical modeling on sediment capture in catch basins.
Yang, Haoming; Zhu, David Z; Li, Lin.
Afiliação
  • Yang H; Department of Civil Engineering, Zhejiang University, Hangzhou 310027, China; Department of Civil and Environmental Engineering, University of Alberta, Edmonton, AB, Canada, T6G 2W2.
  • Zhu DZ; Department of Civil Engineering, Zhejiang University, Hangzhou 310027, China; Department of Civil and Environmental Engineering, University of Alberta, Edmonton, AB, Canada, T6G 2W2.
  • Li L; College of Water Conservancy and Civil Engineering, Xinjiang Agricultural University, Urumqi 830052, China E-mail: lilin_xjau@163.com; Department of Civil and Environmental Engineering, University of Alberta, Edmonton, AB, Canada, T6G 2W2.
Water Sci Technol ; 77(5-6): 1346-1354, 2018 Mar.
Article em En | MEDLINE | ID: mdl-29528322
Catch basins are designed to convey surface runoff into sewer systems. They are also found to be effective in retaining sediments. A number of factors can influence catch basin sediment capture efficiency, such as sediment size distribution, flow hydraulics and catch basin design. To better understand the influence of these factors, numerical simulations using the Eulerian-Lagrangian method were conducted to provide insights into flow fields and to predict sediment capture rates. The numerical model was validated using previous experimental measurements of flow field and sediment capture rates for sediment sizes larger than 0.25 mm. The influence of catch basin designs, including the bottom sump and inflow arrangements, was also studied, and an equation was developed for predicting the capture rate.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Eliminação de Resíduos Líquidos / Sedimentos Geológicos / Modelos Teóricos Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Eliminação de Resíduos Líquidos / Sedimentos Geológicos / Modelos Teóricos Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2018 Tipo de documento: Article