Abstract

Urban flooding now occurs frequently and low impact development (LID) has been widely implemented as an effective resilience strategy to improve storm water management. This study constructed the inundation curve to dynamically simulate the disaster, and established an inundation severity indicator (ISI) and cost-effectiveness indicator (CEI) to quantify the severity and cost effectiveness at each site. The study set 10 different density scenarios using a zonal approach. The results showed that LID could reduce the overall ISI value, but as the construction increased, the CEI exhibited a downward trend, showing that there is a marginal utility problem in LID. However, the performance of CEI differed slightly in areas of different severity. In the vulnerable resilience zone, the CEI increased initially and then decreased, and the optimal cost–benefit combination was 60% permeable pavement +20% green roof +50% vegetative swale. The mutual effects of LID measures in different zones led to synergistic or antagonistic effects on LID. This study explored the tradeoff between the resilience enhancement effect and strategy transformation cost, and determined the optimal combination of the LID strategy, thereby providing a new analytical perspective for the sustainable development of sponge cities.

Highlights

  • Urban flooding disasters occur frequently throughout the world due to the intensification of climate change and rapid development of urbanization [1,2,3]

  • low-impact development (LID) is a storm water management strategy based on distributed management and localized practices for controlling the runoff and pollution caused by storms in order to enhance the capacity for absorption, storage, and purification, and the recovery of the urban resilience system [9]

  • Based on comparative analyses of the resilience with different optimization strategies, we explored the improvement benefits of LID practices among different resilience zones in order to identify the optimal scenario based on a cost-effectiveness indicator (CEI)

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Summary

Introduction

Urban flooding disasters occur frequently throughout the world due to the intensification of climate change and rapid development of urbanization [1,2,3]. These disasters cause enormous social and economic losses, and they severely threaten the safety and property of residents [4,5,6]. LID is a storm water management strategy based on distributed management and localized practices for controlling the runoff and pollution caused by storms in order to enhance the capacity for absorption, storage, and purification, and the recovery of the urban resilience system [9]. To evaluate the capacity for resistance, absorption, adaptation, and recovery from disasters, the concept of “resilience” was proposed and it soon became the focus of academic attention [12,13]

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