基于最优LID组合下的内涝脆弱性分析OA

Rapid urbanization and global climate change have made urban flooding more common in recent years,with dire consequences like"waterlogging after heavy rain"and"urban inundation".These urban waterlogging events have resulted in significant economic and social losses,posing a serious threat to public safety.The consequences of pluvial flooding have varied impacts on residents'daily lives,infrastructure systems,ecological environments,and socioeconomic activities.Consequently,vulnerability analysis has emerged as a crucial component for effective urban flood management.In order to evaluate urban flood resilience,optimize the distribution of resources for disaster prevention,and improve overall urban adaptability,it is essential to conduct a scientific assessment of flood vulnerability,investigate its driving mechanisms,and analyze potential future trends.By accurately identifying high-risk areas,vulnerability assessments provide solid data support for developing focused disaster prevention and mitigation strategies.Ultimately,this contributes to minimizing disaster losses,protecting human life and property,and promoting sustainable urban development. This study employed the storm water management model(SWMM)to simulate various combinations of low impact development(LID)strategies.The hydrological regulation performance of each combination was evaluated by analyzing runoff coefficients and peak flow delays,leading to the identification of the optimal LID configuration.Subsequently,a vulnerability assessment index system was established using a three-dimensional analytical framework:exposure,sensitivity,and adaptive capacity.The study area's waterlogging vulnerability was evaluated using the analytic hierarchy process(AHP),and the reduction in vulnerability attained by the best LID combination was measured. The findings showed that:(1)Five different LID combinations were designed based on established LID layout principles and the land use types of the study area.The optimal hydrological performance was achieved by the combination of green roofs,permeable pavements,sunken green spaces,rainwater barrels,and vegetated swales,which exhibited the highest runoff coefficient reduction rates and the most effective peak time extension compared to other combinations.(2)The optimal LID combination effectively reduced the urban waterlogging vulnerability index.In situations with shorter recurrence times,this effect was more noticeable.For instance,the vulnerability index reduction rate was 8.304%for a five-year recurrence rainfall event but decreased to only 3.735%for a fifty-year recurrence scenario.This highlights that the effectiveness of LID measures significantly declines as recurrence periods increase.(3)Under extreme rainfall conditions,it is imperative to integrate grey infrastructure with intelligent early warning systems to establish a multi-scale flood control system.The findings of this study offer an optimized pathway for resilient urban stormwater management by promoting a comprehensive strategy of"source control-process regulation-system coordination."