印度孙德尔本斯地区自然灾害导致的沿海脆弱性:基于地理空间和统计技术的村级研究

Md Hasnine, Dewaram Abhiman Nagdeve
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引用次数: 0

摘要

孙德尔本斯是一个历史可以追溯到文明之初的地区,它面临着许多环境危害,这些危害极大地影响了当地人的生活和生计。风暴和热带气旋是最严重的自然灾害,通过影响粮食安全、经济、住房和健康,对当地社区造成严重破坏。通过将脆弱性定义为暴露、敏感性和恢复能力的函数,我们采用等权重法(EWM)计算了综合脆弱性指数(CVI),以评估印度孙德尔本斯地区mouzas(小行政单位)对自然灾害的脆弱性。根据CVI综合值绘制的脆弱性地图显示,30.50%的村庄属于高脆弱性,12.06%的村庄属于极高脆弱性。蚊级分析还表明,孙德尔本斯22.62%的村庄高度暴露于自然灾害,19.70%的村庄被列为非常高敏感。只有7.07%的村庄对这些自然灾害具有很高的应对能力。南部和沿海地区的村庄更容易受到风暴潮的影响。相反,位于中部高海拔地区的脆弱性较低。在该地区的北部,由于地势低洼,湿地浸水,几个村庄面临着高度或非常高的脆弱性。这项研究为决策者、政府规划者和灾害管理专业人员提供了重要的见解,有助于确定需要立即采取保护措施的高风险人群和地区。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Natural hazard induced coastal vulnerability in Indian Sundarbans: A village-level study by using geospatial and statistical techniques

Natural hazard induced coastal vulnerability in Indian Sundarbans: A village-level study by using geospatial and statistical techniques
The Sundarbans, an area with a history dating back to the dawn of civilization, has faced numerous environmental hazards that have remarkably affected the lives and livelihoods of its natives. Strom surge and Tropical cyclones are the most substantial natural hazards, causing severe damage to local communities by affecting food security, the economy, shelter and health. By defining vulnerability as a function of exposure, sensitivity, and resilience capacity, we calculated a composite vulnerability index (CVI) using equal weight method (EWM) to assess the vulnerability of mouzas (small administrative units) to natural hazards in the Sundarbans, India. The vulnerability map has been drawn based on composite value of CVI which shows 30.50% of villages falling into the high vulnerability category and 12.06% in the very high vulnerability category. The mouza-level analysis also indicates that 22.62% of Sundarbans's villages are highly exposed to natural hazards and 19.70 % of villages are classified as being at Very high sensitive. Only 7.07% villages have very high adopted capacity against these natural hazards. Villages in the southern parts and along the coast were found to be more vulnerable to storm surges. Conversely, those situated at higher elevations in the central area exhibited lower vulnerability. In the northern part of the region, several villages faced high to very high vulnerability due to low-lying, waterlogged wetlands. This study offers vital insights for decision-makers, government planners, and disaster management professionals, assisting in the identification of high-risk populations and areas that require immediate preservation efforts.
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