卡霍夫卡溃坝情景下受影响人口与建成区的时空评价

IF 3 3区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES
Mengxue Zhang, Jiahong Liu, Tianxu Song, Chao Mei, Jia Wang, Feng Jin, Hao Wang
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引用次数: 0

摘要

洪水风险评估是一个重要的工具,为减少洪水损失和有效的洪水管理提供理论依据。2023年6月,卡霍夫卡大坝溃坝凸显了在不同决口情景下进行准确洪水风险评估的必要性。本研究采用HEV(灾害暴露-脆弱性)框架,评估了部分(S1)和完全(S2)溃坝情景下人口和建成区的时空洪水风险。采用热点分析法识别高危区,比较HEV和DV方法的分类差异。结果如下:利用TELEMAC-2D模型模拟洪水传播,基于观测水深的NSE为0.98。空间验证精度(P)为70.7%,假阳性率(FPR)为22.9%,假阴性率(FNR)为3.2%,准确率为84.6%。对于人口洪水风险,S1下的风险总人数约为101,000人,在前41 h内急剧增加。在S2下,总数上升到大约296,000,在前20小时观察到迅速增加。S1下建成区受洪水影响的总面积为51.6 km2,前41 h显著增加;S2条件下,总受影响面积扩大至157.4 km2,前20 h呈快速上升趋势;人口和建筑物的高危聚集区主要分布在坝址附近和中游右岸城区。S2下左岸南部也出现了新的高风险区。尽管基于dv的方法产生了更大的洪水风险空间范围,但它低估了两种情景下的风险水平。研究结果为洪水风险评估和应急管理提供了实践依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Spatiotemporal Assessment of Affected Population and Built-Up Area Under Dam-Breach Scenarios of Kakhovka

Spatiotemporal Assessment of Affected Population and Built-Up Area Under Dam-Breach Scenarios of Kakhovka

Flood risk assessment serves as a critical tool, providing theoretical foundations for minimizing flood damage and effective flood management. In June 2023, the Kakhovka Dam failure highlighted the need for accurate flood risk assessment under different breach scenarios. This study assessed the spatiotemporal flood risk to population and built-up areas under partial (S1) and complete (S2) dam-breach scenarios using the HEV (hazard–exposure–vulnerability) framework. Hotspot analysis was used to identify high-risk zones, and classification differences between HEV and DV methods were compared. The results are as follows: Flood propagation was simulated using the TELEMAC-2D model, yielding an NSE of 0.98 based on observed water depths. Spatial validation produced a precision (P) of 70.7%, a false positive rate (FPR) of 22.9%, a false negative rate (FNR) of 3.2%, and an accuracy of 84.6%. For population flood risk, the total number of people at risk was approximately 101,000 under S1, increasing sharply within the first 41 h. Under S2, the total rose to approximately 296,000, with a rapid increase observed in the first 20 h. For built-up area, the total flood-affected extent was 51.6 km2 under S1, showing a sharp increase in the first 41 h. Under S2, the total affected area expanded to 157.4 km2, with a rapid rise during the first 20 h. High-risk clusters of both population and buildings were mainly located near the dam site and in the midstream right-bank urban area. New high-risk zones also emerged in the southern part of the left riverbank under S2. Although the DV-based method produced a wider spatial extent of flood risk, it underestimated risk levels in both scenarios. The results provide a practical basis for flood risk assessment and emergency management.

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来源期刊
Journal of Flood Risk Management
Journal of Flood Risk Management ENVIRONMENTAL SCIENCES-WATER RESOURCES
CiteScore
8.40
自引率
7.30%
发文量
93
审稿时长
12 months
期刊介绍: Journal of Flood Risk Management provides an international platform for knowledge sharing in all areas related to flood risk. Its explicit aim is to disseminate ideas across the range of disciplines where flood related research is carried out and it provides content ranging from leading edge academic papers to applied content with the practitioner in mind. Readers and authors come from a wide background and include hydrologists, meteorologists, geographers, geomorphologists, conservationists, civil engineers, social scientists, policy makers, insurers and practitioners. They share an interest in managing the complex interactions between the many skills and disciplines that underpin the management of flood risk across the world.
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