Drought hazard assessment using geoinformatics over parts of Chotanagpur plateau region, Jharkhand, India

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• 作者：Swati Pandey (1) swatip.bit@gmail.com
  A. C. Pandey (2)
  M. S. Nathawat (2)
  Manoj Kumar (1)
  N. C. Mahanti (1)
• 关键词：Drought – ; Hazard – ; Geoinformatics – ; Plateau – ; India
• 刊名：Natural Hazards
• 出版年：2012
• 出版时间：September 2012
• 年：2012
• 卷：63
• 期：2
• 页码：279-303
• 全文大小：2.0 MB
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• 作者单位：1. Department of Applied Mathematics, Birla Institute of Technology, Mesra, Ranchi, 835215 India2. Department of Remote Sensing, Birla Institute of Technology, Mesra, Ranchi, 835215 India
• ISSN：1573-0840

文摘

Recurrent drought events in the Palamu district of Jharkhand state and the magnitude of drought losses primarily toward agricultural production in this dominantly monocropped region indicate the continuing susceptibility of the society to drought. This paper presents a method for spatial, geoinformatics-based assessment of agricultural, meteorological, and hydrological drought hazard in Palamu district. It was hypothesized that the key climatic, biophysical and social factors that define agricultural drought hazard were soils, geomorphology, drainage density, land use, and relief, whereas for meteorological drought hazard, it is rainfall, coefficient of variation of rainfall and for hydrological drought hazard, it is lithology, depth to water table, aquifer yield, and surface water bodies. The framework for the derivation of an agricultural, meteorological, and hydrological drought hazard map was created through the development of a numerical weighting scheme to evaluate the drought potential of the classes within each factor. A cumulative map created through spatial join of all the three types of drought provided a drought hazard scenario in totality. The area with different severity of drought hazards under cumulative drought hazards scenario (viz. very low (8.9 %), low (24.2 %), moderate (29.2 %), high (20.13), and very high (17.3 %)) revealed high drought proneness of the area and the usefulness of geoinformatics in better spatial prognosis of drought hazards.