印度米佐拉姆邦地区气候脆弱性评估:水资源方法

IF 0.7 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES
Lalthanpuia, H. Laldinpuii, Samuel Lalmalsawma, James Lalnunzira Hrahsel
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引用次数: 0

摘要

米佐拉姆邦是印度东北部的一个邦,主要由丘陵地形组成,部落人口居住在沿着上游分散的村庄。人们对自然资源的高度依赖和完全依赖西南季风的雨育农业做法使该地区极易受到气候变化的影响,而发展基础设施落后、土地利用和土地覆盖变化、森林丧失和退化又加剧了气候变化。国家的脆弱性需要得到解决,以帮助制定切实可靠的计划,以增强对长期气候变化的抵御能力。本文重点分析了国家在国内水资源可用性方面的敏感性和适应能力的内在属性,以评估其对气候压力引起的前所未有的变化的内在脆弱性。评估遵循一个分析框架,选择了界定该州所有地区脆弱性标准的指标。通过利益攸关方协商,根据最能反映实际情况的指标赋予权重。综合脆弱性指数(CVI)计算了每个地区的所有指标。根据CVI值对地区进行了高、中、低脆弱性等级划分。通过计算每个单独指标对总体脆弱性的贡献来确定脆弱性的驱动因素。计算出的CVI最高的是香槟酒区,使其成为最脆弱的地区。马米特的CVI最低,是最不脆弱的地区。在所有地区,每户常年生泉水供应有限、森林覆盖较少和地下水资源供应有限是总体脆弱性的主要驱动因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessment of District Level Climate Vulnerability of Mizoram, India: Water Resources Approach
Mizoram, one of the north-eastern states in India, predominantly consists of hilly terrain with tribal populations living in villages scattered along the upper reaches. The high dependency of people on natural resources and rainfed agricultural practices relying wholly on the southwest monsoon make the region highly vulnerable to climate change exacerbated by poor development infrastructure, land use and land cover change, forest loss and degradation. The vulnerability of the state needs to be addressed to assist in developing practical and reliable plans to increase resilience against long term climate change. The intrinsic properties corresponding to sensitivity and adaptive capacity of the state in terms of domestic water resources availability are focused here to assess inherent vulnerability to unprecedented changes than can be caused by climate stress. The assessment follows an analytical framework by selecting indicators that define vulnerability criteria across all the districts in the state. Indicators were given weights per the best reflection to ground reality by means of stakeholder consultations. Composite Vulnerability Index (CVI) was calculated for each district across all indicators. Districts were ranked and categorised into high, medium, and low vulnerability based on their CVI values. Drivers of vulnerability were determined by calculating the contributions of each individual indicator to overall vulnerability. The calculated CVI was highest for Champhai making it the most vulnerable district. CVI was lowest for Mamit making it the least vulnerable district. Across all districts, limited availability of perennial springs per household, less forest cover and limited availability of ground water resources were the top drivers of overall vulnerability.
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来源期刊
Journal of Climate Change
Journal of Climate Change METEOROLOGY & ATMOSPHERIC SCIENCES-
自引率
16.70%
发文量
18
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