Spatio-temporal assessment of vulnerability to drought

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...

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Bibliographic Details
Published in:Natural hazards (Dordrecht) 2015-03, Vol.76 (1), p.443-469
Main Authors: Jain, Vinit K., Pandey, R. P., Jain, Manoj K.
Format: Article
Language:English
Subjects:
Assessments
Basins
Civil Engineering
Climate science
Drought
Droughts
Earth and Environmental Science
Earth Sciences
Environmental Management
Geophysics/Geodesy
Geotechnical Engineering & Applied Earth Sciences
Hydrogeology
Hydrology
Mathematical models
Methodology
Natural Hazards
Original Paper
Risk assessment
River basins
Soil moisture
Soil sciences
Spatial distribution
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Summary: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 sub-classes, 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.
ISSN:0921-030X
1573-0840
DOI:10.1007/s11069-014-1502-z