Identification of Urban Rainstorm Waterlogging Based on Multi-source Information Fusion：A Case Study in Futian District, Shenzhen

¹ School of Environment, Harbin Institute of Technology, 150001 Harbin, China
² Department of Statistics and Data Science, Southern University of Science and Technology, 518055 Shenzhen, China
³ Academy for Advanced Interdisciplinary Studies, Southern University of Science and Technology, 518055 Shenzhen, China
⁴ School of Environmental Science and Engineering, Southern University of Science and Technology, 518055 Shenzhen, China
⁵ Shenzhen Urban Public Safety and Technology Institute, 518048 Shenzhen, China
⁶ Department of Computer and Information Science, University of Macau, 999078 Taipa, Macau, China

^* Corresponding author: yangll@sustech.edu.cn

Abstract

Flood disasters have become one of the most threatening natural disasters in the world, in which waterlogging is the most common form in the context of highly urbanized megacities. The formation of flood disaster is related to many factors and involves information from multiple sources, making it difficult be predicted. This paper integrates multi-source information data, classifies the study area into different categories according to hydrological analysis results, and combines hydrodynamic theory and ArcGIS to get the quantitative prediction of the range and depth of waterlogging under different rainfall inputs. The evaluation results provide the government with accurate and timely information of waterlogging risks and locations in order to improve promptness of emergency management such as evacuation and managing traffics.