Symbiosis Institute of Geo-Informatics, Symbiosis International (Deemed University), Pune, 411016, India.
Department of Geography, Vidyasagar College, Kolkata, 700006, India.
Environ Monit Assess. 2023 Oct 24;195(11):1364. doi: 10.1007/s10661-023-11920-4.
This study focuses on measuring the spatial nature of drought risk which is conceived as the product of drought severity, drought vulnerability, and drought exposure in the Purulia district, located in the eastern part of the Indian peninsula. Drought severity is measured using the Standard Precipitation Index and drought vulnerability is calculated as the average condition of meteorological, hydrological, agricultural, and socio-economic drought. The drought types and drought exposure conditions are the outcome of multi-criteria analysis where the Fuzzy Analytical Hierarchy Process is used for assigning weights to the respective parameters and the Analytical Hierarchy Process is used for determining the class ranks. 31.46% of the total district area has registered moderate to high and high vulnerability to drought situations, while 16.57% of the entire district area has been found moderate to high and highly exposed to drought situations. Similarly, 39.39% of the district's total area is under a significant drought risk. Blocks like Barabazar (75.49%), Jhalda-I (71.85%), and Purulia-II (52.66%) have the majority of their area under extreme drought risk conditions. The modeled outcome of drought vulnerability was found significant while being tested with phenomena highly correlated to drought events, land surface temperature, and aridity index. The computed spatial profile of the districts' drought risk condition is of substantial help for the policymakers in preparing effective drought mitigation measures to restrict drought impacts reasonably.
本研究侧重于测量干旱风险的空间性质,干旱风险被视为印度半岛东部普鲁利亚地区干旱严重程度、干旱脆弱性和干旱暴露的产物。干旱严重程度使用标准降水指数进行测量,干旱脆弱性计算为气象、水文、农业和社会经济干旱的平均状况。干旱类型和干旱暴露条件是多标准分析的结果,其中模糊层次分析法用于为各个参数分配权重,层次分析法用于确定类别等级。总区域的 31.46%登记为中等到高度和高度易受干旱情况影响,而整个区域的 16.57%被发现中等到高度和高度易受干旱情况影响。同样,该地区 39.39%的总面积面临着显著的干旱风险。像巴拉巴扎尔(75.49%)、哈尔达-1(71.85%)和普鲁利亚-2(52.66%)这样的区块,其大部分地区处于极端干旱风险条件下。与干旱事件高度相关的现象、地表温度和干旱指数的测试结果表明,干旱脆弱性的模拟结果具有重要意义。该地区干旱风险状况的计算空间分布对政策制定者制定有效的干旱缓解措施以合理限制干旱影响具有重要帮助。