Journal of Applied Science and Engineering

Published by Tamkang University Press


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Deer Liu This email address is being protected from spambots. You need JavaScript enabled to view it.1 and Jingyu Liu1

1School of Architectural and Surveying and Mapping Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, P.R. China


Received: July 3, 2018
Accepted: April 30, 2019
Publication Date: June 1, 2019

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In the context of global urbanization, the waterlogging occurs more frequently. The cause of waterlogging is that the traditional planning of urban rainwater network was backward, which led the rainwater on the ground cannot be collected and drained timely. This study aims to build an intelligent rainwater pipe network planning system based on the SWMM and GIS components. Firstly, the SWMM model was packaged into a .NET managed dynamic library through a software interoperability model to implement the seamless integration with GIS software components. Secondly, on basis of the vertical design elevation and the planning road network data of the city, a grid DEM that in view of road network was built. And the hydrological parameters were automatically extracted by using GIS spatial analysis based on the planned land type and the torrential rain model of the study area. Finally, with the geometric network analysis function of GIS and the rain-flood simulation function of SWMM, the intelligent layout and optimization of rainwater drainage network were realized. And based on the weight model, the urban rainwater pipe network was optimized. The experimental results demonstrated that our method is more efficient than the traditional method. Specifically: (1) the prediction accuracy of rainwater pipe network is improved; (2) the nodes that may overflow are adjusted to the best state, which reduces the risk of urban waterlogging. These findings indicate the optimized pipelines are more scientific and economical in the layout scheme, the selection of outlets and the calculation of pipe force.

Keywords: Rainwater Drainage Network, GIS, SWMM, Hydrological Parameters, Intelligent Planning


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