Abstract

Urban rainstorm waterlogging has become a typical “city disease” in China. It can result in a huge loss of social economy and personal property, accordingly hindering the sustainable development of a city. Impervious surface expansion, especially the irregular spatial pattern of impervious surfaces, derived from rapid urbanization processes has been proven to be one of the main influential factors behind urban waterlogging. Therefore, optimizing the spatial pattern of impervious surfaces through urban renewal is an effective channel through which to attenuate urban waterlogging risk for developed urban areas. However, the most important step for the optimization of the spatial pattern of impervious surfaces is to understand the mechanism of the impact of urbanization processes, especially the spatiotemporal pattern of impervious surfaces, on urban waterlogging. This research aims to elucidate the mechanism of urbanization’s impact on waterlogging by analysing the spatiotemporal characteristics and variance of urban waterlogging affected by urban impervious surfaces in a case study of Guangzhou in China. First, the study area was divided into runoff plots by means of the hydrologic analysis method, based on which the analysis of spatiotemporal variance was carried out. Then, due to the heterogeneity of urban impervious surface effects on waterlogging, a geographically weighted regression (GWR) model was utilized to assess the spatiotemporal variance of the impact of impervious surface expansion on urban rainstorm waterlogging during the period from the 1990s to the 2010s. The results reveal that urban rainstorm waterlogging significantly expanded in a dense and circular layer surrounding the city centre, similar to the impervious surface expansion affected by urbanization policies. Taking the urban runoff plot as the research unit, GWR has achieved a good modelling effect for urban storm waterlogging. The results show that the impervious surfaces in the runoff plots of the southeastern part of Yuexiu, the southern part of Tianhe and the western part of Haizhu, which have experienced major urban engineering construction, have the strongest correlation with urban rainstorm waterlogging. However, for different runoff plots, the impact of impervious surfaces on urban waterlogging is quite different, as there exist other influence factors in the various runoff plots, although the impervious surface is one of the main factors. This result means that urban renewal strategy to optimize the spatial pattern of impervious surfaces for urban rainstorm waterlogging prevention and control should be different for different runoff plots. The results of the GWR model analysis can provide useful information for urban renewal strategy-making.

Highlights

  • Urban rainstorm waterlogging refers to the phenomenon of a stagnant water disaster in an urban area due to heavy rainfall or continuous precipitation, resulting in the collapse of social engineering systems and the loss of social economy [1,2]

  • Since the well-known “open-door” policy and economic reform were adopted in 1978, China has experienced a rapid urbanization process in many cities. This rapid urbanization process leads to an increase in the area and density of impervious surfaces in urban regions and, to the emergence of urban rainstorm waterlogging risks in these cities

  • The most important step for optimizing the spatial pattern of impervious surfaces is to understand the mechanism of the impact of urbanization processes on urban waterlogging and to determine suitable regions for urban renewal

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Summary

Introduction

Urban rainstorm waterlogging refers to the phenomenon of a stagnant water disaster in an urban area due to heavy rainfall or continuous precipitation, resulting in the collapse of social engineering systems and the loss of social economy [1,2]. The third method is to increase rainwater infiltration into the soil or vegetation in urban areas to reduce surface runoff, which is always mentioned by relevant researchers in the study of urban waterlogging prevention and control around the world [17,23,24,25,26,27]. Compared with the former two methods, the third method, increasing rainwater infiltration into soil or vegetation in the urban area, achieves reduction of runoff sources but can be used sustainably with a lower cost [26,33,34,35] This method should be the most suitable for urban waterlogging prevention in developing countries such as China. The results will provide a theoretical basis for urban renewal planning for urban rainstorm waterlogging prevention and control

Study Area
Spatiotemporal Variance Analysis Method
Result
Findings
Conclusions and Discussion

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