Tyagi Mayank, Singh Hrishikesh, Thakur Dev Anand, Mohanty Mohit Prakash
Department of Water Resources Development and Management, Indian Institute of Technology Roorkee, Roorkee 247667, India.
Department of Water Resources Development and Management, Indian Institute of Technology Roorkee, Roorkee 247667, India.
Sci Total Environ. 2024 Dec 20;957:177689. doi: 10.1016/j.scitotenv.2024.177689. Epub 2024 Nov 26.
Floods and droughts are signature phases of the same hydrological cycle. Despite their profound impacts on the socio-economic structures and population globally, limited research efforts have encapsulated the resultant compound risks from them. Comprehending both water extremes presents a formidable challenge due to the relatively short-term occurrence of floods versus the prolonged impacts of droughts. The present study, for the first time in the context of global disaster risk reduction, develops a comprehensive framework driven by a novel concept of Bivariate Risk Classifier (BRC) that can readily integrate the marginal and compound impacts/hazards of floods and droughts. The study employs an exhaustive hydrodynamic-driven approach through LISFLOOD-FP and statistical modelling in terms of the Standardized Precipitation Evapotranspiration Index (SPEI), to derive compound flood and drought hazards. A series of extensive calibration and validation tests ensures minimal false alarms and inaccuracies in the simulated outputs. In the latter phase, populations and regions that are vulnerable to compound risks are identified. This study notices a high degree of synchronization of the exposed population to compound hazards that are otherwise associated with either floods or droughts. The efficient demonstration of the proposed framework over a highly disaster-sensitive catchment in India promises its further application to global multi-hazard catchments. The findings from this study call for an integrated approach directed towards targeted, adaptive disaster risk management and resilient infrastructure planning for regions facing concurrent flood and drought impacts.
洪水和干旱是同一水文循环的标志性阶段。尽管它们对全球社会经济结构和人口产生了深远影响,但针对它们所带来的复合风险的研究却非常有限。由于洪水发生的时间相对较短,而干旱的影响持续时间较长,因此要全面理解这两种极端水文事件是一项艰巨的挑战。本研究首次在全球减灾背景下,提出了一个由双变量风险分类器(BRC)这一新颖概念驱动的综合框架,该框架能够轻松整合洪水和干旱的边际及复合影响/危害。本研究采用了详尽的水动力驱动方法,通过LISFLOOD - FP模型以及基于标准化降水蒸散指数(SPEI)的统计建模,来推导复合洪水和干旱危害。一系列广泛的校准和验证测试确保了模拟输出中的误报和误差最小化。在后期阶段,识别出易受复合风险影响的人群和区域。本研究注意到,受影响人群与复合危害之间存在高度的同步性,而这些复合危害原本与洪水或干旱相关。在印度一个对灾害高度敏感的集水区对所提出框架进行的有效论证,有望使其进一步应用于全球多灾害集水区。本研究的结果呼吁采取一种综合方法,针对同时面临洪水和干旱影响的地区,进行有针对性的、适应性的灾害风险管理和韧性基础设施规划。