Title: Research on the feasibility analysis of old renovation project model construction of sponge city integrating BP neural network and MIKE model

Authors: Mingqin Fu; Liqiang Xu; Chengcheng Wang

Addresses: College of Urban Construction, Wuchang Institute of Technology, Wuhan, Hubei, China ' College of Urban Construction, Wuchang Institute of Technology, Wuhan, Hubei, China ' College of Urban Construction, Wuchang Institute of Technology, Wuhan, Hubei, China

Abstract: In order to further improve the flood control level of the city in urban construction, the suitability of sponge city construction in the old renovation project is analysed based on BP neural network and MIKE model. Among them, BP neural network evaluation model is constructed to evaluate the suitability of old renovation project of sponge city, and MIKE model is introduced to simulate rainfall and regional water accumulation. The experimental results show that the designed MIKE Flood water dynamic simulation model can simulate rainfall and water accumulation accurately. The designed BP neural network evaluation model is used to evaluate the suitability of regional sponge city construction with high accuracy, which can provide reliable data for the subsequent urban construction and transformation, and has high feasibility.

Keywords: urban waterlogging; sponge city; BP neural network; MIKE flood model.

DOI: 10.1504/IJWMC.2024.140285

International Journal of Wireless and Mobile Computing, 2024 Vol.27 No.2, pp.184 - 193

Received: 28 Aug 2023
Accepted: 18 Feb 2024
Published online: 01 Aug 2024 *

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