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Estimation of Integrated Flood Vulnerability Index for the Hilly Region of Uttarakhand, India

机译:估计印度北方丘陵地区的综合洪水脆弱性指数

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Uttarakhand, a Himalayan state in India, has more than 80% of its area in the hilly regions. Owing to its hilly nature, the state is suffering from different natural calamities such as flash floods and landslides. For mitigating the impact of these natural calamities, the evaluation of the vulnerability of the state is necessary. As such, the primary objective of this study is to prepare a districtwise integrated flood vulnerability map of the state considering social, economic, and environmental factors along with the hydrological factors. The integrated flood vulnerability was estimated and mapped to classify the priority regions of the state for the identification of hot spots in terms of flooding and other disasters. The model incorporated all the factors under different heads such as exposure, susceptibility, and resilience. Moreover, climate change will alter the hydrological factor associated with the vulnerability index. As such, the impact of climate change on integrated flood vulnerability under different Representative Concentration Pathways (RCP) scenarios is also evaluated. The evaluation of the results shows that a significant part of the state, around 60%, can be categorized as high vulnerable under the RCP8.5 scenario. The study shows that 20% of the area of the state will be under the shallow and low-risk zone. The district-level flood vulnerability maps prepared under the study should be useful for decision-makers in the planning and implementation of the different disaster mitigation plans of the state.
机译:印度的喜马拉雅州北方人北方人在丘陵地区拥有超过80%的地区。由于其丘陵自然,该州正在遭受不同的自然灾害,如闪光洪水和山体滑坡。为了减轻这些天然灾难的影响,需要评估该状态的脆弱性。因此,本研究的主要目的是准备考虑社会,经济和环境因素以及水文因素的国家革洪漏洞地图。估计综合洪水脆弱性并映射以分类国家的优先区,以确定洪水和其他灾害方面的热点。该模型在不同的头部下掺入了不同的头部,例如曝光,易感性和弹性。此外,气候变化将改变与脆弱性指数相关的水文因子。因此,还评估了在不同代表浓度途径(RCP)情景下的综合洪水脆弱性的气候变化的影响。结果评估表明,该州的重要部分约为60%,可以在RCP8.5场景下分类为高易变。该研究表明,该州20%的地区将在浅层和低风险的区域下。根据该研究编制的地区级泛洪漏洞地图对于规划和实施国家的不同灾害减缓计划的决策者也是有用的。

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