Assessing climate-relevant vulnerability of the Indian Himalayan Region (IHR): a district-level analysis

被引:8
|
作者
Alam, Mir Khursheed [1 ]
Dasgupta, Shyamasree [1 ]
Barua, Anamika [2 ]
Ravindranath, N. H. [3 ]
机构
[1] Indian Inst Technol Mandi, Sch Humanities & Social Sci, Mandi 175075, Himachal Prades, India
[2] Indian Inst Technol Guwahati, Gauhati 781039, India
[3] Indian Inst Sci Bangalore, Ctr Sustainable Technol, Bengaluru 560012, India
关键词
Climate change; Vulnerability; Hotspot; Indian Himalayan Region; Adaptation; Hazards; INHERENT VULNERABILITY; SOCIAL VULNERABILITY; PUBLIC-HEALTH; WESTERN-GHATS; AGRICULTURE; COMMUNITIES; DETERMINANTS; UTTARAKHAND; RESILIENCE; HOUSEHOLD;
D O I
10.1007/s11069-022-05233-x
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Indian Himalayan Region (IHR) is highly vulnerable to climate change and its variability. The present study employs an indicator-based approach to assess the district-level (132 districts) vulnerability of the IHR, based on a modified risk assessment framework proposed by the Intergovernmental Panel on Climate Change (IPCC-AR5). Based on Moron's I and Local Geary, the study also carries out a geospatial analysis to identify the vulnerability hotspots. The Composite Vulnerability Indices (CVI) developed in this study, based on a set of 14 common indicators, suggest that Assam (in the eastern IHR), and Jammu and Kashmir (in the western IHR) are highly vulnerable states as the majority of their districts fall in the "highly vulnerable" cohort. The CVI ranges from 0.75 (for Goalpara in Assam) to 0.35 (for Kolasib in Mizoram). The hotspots are also found to be located in the hazard-prone regions of Jammu and Kashmir and the 'char' belt of the Brahmaputra River basin in Assam. These districts are economically poor with fragile agro-based livelihoods, and limited institutional and infrastructural provisions. The outcome of the study has significant potential to assist targeted policy interventions in the most vulnerable locations and rational allocation of adaptation resources through identification of vulnerability hotspots and the drivers of vulnerability.
引用
收藏
页码:1395 / 1421
页数:27
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