Rainstorm Flood Risk Assessment in the China–Pakistan Economic Corridor Under Different Shared Socioeconomic Pathways of the 21st Century

IF 3.7 3区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES
Mengting Liu, Min Xu, Xingdong Li
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引用次数: 0

Abstract

Global warming has intensified the atmospheric water cycle, leading to more frequent and severe extreme precipitation events, which are a major driver of rainstorm-induced flooding. Developing regions such as the China–Pakistan economic corridor (CPEC), spanning highly heterogeneous terrain and climate zones, face elevated risk due to limited infrastructure and preparedness. This study establishes a comprehensive flood risk assessment framework based on the Hazard–Sensitivity–Vulnerability–Adaptive Capacity (HSVA) model, integrating bias-corrected Coupled Model Intercomparison Project Phase 6 (CMIP6) multimodel precipitation, quantitative socio-environmental indicators, and Geographic Information System (GIS)-based spatial analysis. Applied to Shared Socioeconomic Pathway (SSP) scenarios SSP1–2.6, SSP2–4.5, and SSP5–8.5 for the period 2025–2100, the framework captures the spatiotemporal evolution of rainstorm flood risk. Results show a consistent intensification of extreme precipitation, with high-risk zones expanding northwestward along the Indus River corridor. Quantitatively, high-risk areas range from approximately 5% under SSP1–2.6 to over 6% under SSP5–8.5, indicating an upward trend under high-emission pathways. Model validation demonstrates strong agreement with historical flood records, achieving hit rates above 72% across all scenarios. These findings provide actionable insights for targeted flood mitigation, climate-resilient infrastructure planning, and sustainable water resource management in the CPEC region.

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21世纪不同共享社会经济路径下中巴经济走廊暴雨洪水风险评估
全球变暖加剧了大气水循环,导致极端降水事件更加频繁和严重,这是暴雨引发洪水的主要原因。中巴经济走廊(CPEC)等发展中地区跨越高度异质性的地形和气候带,由于基础设施和准备不足,面临着更高的风险。本研究基于灾害-敏感性-脆弱性-适应能力(HSVA)模型,整合偏校正耦合模式比对项目第6阶段(CMIP6)多模式降水、定量社会环境指标和基于地理信息系统(GIS)的空间分析,构建了洪水风险综合评估框架。应用于共享社会经济路径(SSP)情景SSP1-2.6、SSP2-4.5和SSP5-8.5(2025-2100),该框架捕捉了暴雨洪水风险的时空演变。结果表明,极端降水持续加剧,高风险区沿印度河走廊向西北扩展。从数量上看,SSP1-2.6下的高风险区域约为5%,SSP5-8.5下的高风险区域超过6%,在高排放路径下呈上升趋势。模型验证与历史洪水记录非常吻合,在所有情景下的命中率都在72%以上。这些发现为中巴经济走廊地区有针对性的洪水缓解、气候适应型基础设施规划和可持续水资源管理提供了可行的见解。
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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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