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A Gpu Based Numerical Model Evaluating Sponge Effects on Urban Flood for Sponge City Construction in China

Author(s): Run Wang, Jingming Hou, Zhanbin Li, Jian Zhou, Quan Quan, Guodong Li, Bingqian Wei, Wen Wang, Yue Ma

Linked Author(s): Jingming Hou

Keywords: Low Impact Development (LID), sponge city, hydrodynamic Model, GPU, storm water management

Abstract: After �Technical Guides of Sponge City Development-Low Impact Development of Rainwater System� has been issued by Ministry of Housing and Urban-Rural Development of the People's Republic of China (MOHURD), the construction of sponge city has gradually been implemented nationwide. In order to solve the flood, water shortage and water quality problems resulting from the high urbanization rate in China, 30 pilot cities have joined the urban development plan of sponge city in recent two years. However, no consensus is reached to plan, design, construct and manage the sponge city which results in more practical problems as the program goes by. For example, optimizing the distribution of the LID (Low Impact Development) techniques and evaluating the overall sponge effects of the sponge city. To address the problems, a GPU based hydrodynamic model is developed in this work which couples the hydrological and hydrodynamic to simulate the net rainfall, surface water runoff, flood propagation and inundation, etc. . The model is able to evaluate the sponge effect caused by the LID measures through changing the hydrological, hydrodynamic and biological processes in urban area. GPU technique is employed to accelerate the computation to implement the large scale high-resolution simulation in a very efficient way. The model is applied in Xi-Xian New Area Sponge City Project to quantitatively predict the sponge effect on urban flood

DOI:

Year: 2017

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