Spatio-temporal assessment of vulnerability to drought
Spatio-temporal assessment of vulnerability to drought
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DOI：
10.1007/s11069-014-1502-z
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发表时间：
2015-03-01
期刊：
影响因子：
3.7
通讯作者：
Jain, Manoj K.
中科院分区：
文献类型：
--
作者：
Jain, Vinit K.;Pandey, R. P.;Jain, Manoj K.
通过在水文响应单元(HRU)尺度上综合不同因素的相对影响，提出了一种利用地貌、气候和水文因素在时空尺度上评估干旱脆弱性的方法。在拟议的方法中，一个称为“干旱综合脆弱性指数(IDVI)”的指数被设计为干旱脆弱性指标。SWAT模型已被应用于研究流域HRU的标定和土壤水分的估算。将不同影响因素的空间信息划分为不同的子类，并利用ArcGIS编制了地图。在该分析中，月降雨量距平作为气候因子，土壤水分亏缺指数作为水文因子。印度中部邦德尔汉德地区的肯河流域证明了所提出的方法的适用性。利用所提出的方法，已经在人力资源单位一级获得了干旱相对易损性的空间分布图。IDVI值较高的HRU代表干旱易损性相对较高的地区，反之亦然。这样获得的地图已经使用记录的信息进行了验证。本方法为抗旱行动提供了更好的洞察力。
This paper proposes a methodology for assessment of drought vulnerability at spatial and temporal scales using physiographic, climatic and hydrologic factors by integrating relative influence of different factors at the scale of hydrologic response units (HRUs). In the proposed methodology, an index termed as "Integrated Drought Vulnerability Index (IDVI)" is devised as an indicator of vulnerability to drought. The SWAT model has been applied to demarcate HRUs and estimation of soil moisture in the study basin. Spatial information of different influencing factors is categorized into various subclasses, and maps have been prepared using ArcGIS. In this analysis, monthly rainfall departure is considered as climatic factor and Soil Moisture Deficit Index as hydrologic factor. The applicability of the proposed methodology is demonstrated on the Ken River basin, located in the Bundelkhand region in central India. Using the proposed methodology, maps showing spatial distribution of relative vulnerability to drought have been obtained at the level of HRU. The HRUs with higher value of IDVI represent the areas with relatively high degree of vulnerability to drought and vice versa. The maps thus obtained have been validated using the documented information. The present methodology provides better insight for drought mitigation actions.