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LUAN Qinghua, FU Xiaoran, WANG Haichao, LIU Jiahong, GAO Xuerui. SWMM-based rainfall-runoff simulations in large-scale urban area with no pipeline-flow observations: I: key techniques for digitalizing urban area with complicated land-surface characteristics[J]. Advances in Water Science, 2019, 30(5): 653-660. doi: 10.14042/j.cnki.32.1309.2019.05.005
Citation: LUAN Qinghua, FU Xiaoran, WANG Haichao, LIU Jiahong, GAO Xuerui. SWMM-based rainfall-runoff simulations in large-scale urban area with no pipeline-flow observations: I: key techniques for digitalizing urban area with complicated land-surface characteristics[J]. Advances in Water Science, 2019, 30(5): 653-660. doi: 10.14042/j.cnki.32.1309.2019.05.005

SWMM-based rainfall-runoff simulations in large-scale urban area with no pipeline-flow observations: I: key techniques for digitalizing urban area with complicated land-surface characteristics

doi: 10.14042/j.cnki.32.1309.2019.05.005
Funds:  The study is financially supported by the National Key R&D Program of China (No.2016YFC0401401) and the National Natural Science Foundation of China (No.51739011).
  • Received Date: 2018-07-20
  • Publish Date: 2019-10-25
  • In order to improve rainfall-runoff simulations in urban area and enhance the details of digitalized urban area with complicated land-surface characteristics,this study selected the core district of Yizhuang Economic Development Zone in Beijing as the study area,and the methodology of sub-catchment division,generalization of drainage pipe networks,and identification of outfall drainage wells was proposed for large-scale urban regions larger than 10 km2 with complicated land-surface characteristics,in which local geographical properties,regional waterlogging characteristics,and critical information such as digital elevation model,drainage pipeline networks,and land-use types were considered. This study provides technical support for the researches on rainfall-runoff simulation and disaster warning in urban areas where pipeline-flow observations are sparse in China.
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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SWMM-based rainfall-runoff simulations in large-scale urban area with no pipeline-flow observations: I: key techniques for digitalizing urban area with complicated land-surface characteristics

doi: 10.14042/j.cnki.32.1309.2019.05.005
Funds:  The study is financially supported by the National Key R&D Program of China (No.2016YFC0401401) and the National Natural Science Foundation of China (No.51739011).

Abstract: In order to improve rainfall-runoff simulations in urban area and enhance the details of digitalized urban area with complicated land-surface characteristics,this study selected the core district of Yizhuang Economic Development Zone in Beijing as the study area,and the methodology of sub-catchment division,generalization of drainage pipe networks,and identification of outfall drainage wells was proposed for large-scale urban regions larger than 10 km2 with complicated land-surface characteristics,in which local geographical properties,regional waterlogging characteristics,and critical information such as digital elevation model,drainage pipeline networks,and land-use types were considered. This study provides technical support for the researches on rainfall-runoff simulation and disaster warning in urban areas where pipeline-flow observations are sparse in China.

LUAN Qinghua, FU Xiaoran, WANG Haichao, LIU Jiahong, GAO Xuerui. SWMM-based rainfall-runoff simulations in large-scale urban area with no pipeline-flow observations: I: key techniques for digitalizing urban area with complicated land-surface characteristics[J]. Advances in Water Science, 2019, 30(5): 653-660. doi: 10.14042/j.cnki.32.1309.2019.05.005
Citation: LUAN Qinghua, FU Xiaoran, WANG Haichao, LIU Jiahong, GAO Xuerui. SWMM-based rainfall-runoff simulations in large-scale urban area with no pipeline-flow observations: I: key techniques for digitalizing urban area with complicated land-surface characteristics[J]. Advances in Water Science, 2019, 30(5): 653-660. doi: 10.14042/j.cnki.32.1309.2019.05.005

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