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

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  • Swati Pandey
  • A. Pandey
  • M. Nathawat
  • Manoj Kumar
  • N. Mahanti

Abstract

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. Copyright Springer Science+Business Media B.V. 2012

Suggested Citation

  • Swati Pandey & A. Pandey & M. Nathawat & Manoj Kumar & N. Mahanti, 2012. "Drought hazard assessment using geoinformatics over parts of Chotanagpur plateau region, Jharkhand, India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 63(2), pages 279-303, September.
    • Handle: RePEc:spr:nathaz:v:63:y:2012:i:2:p:279-303
    DOI: 10.1007/s11069-012-0093-9
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    References listed on IDEAS

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    1. Hong Wu & Donald Wilhite, 2004. "An Operational Agricultural Drought Risk Assessment Model for Nebraska, USA," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 33(1), pages 1-21, September.
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    6. Jing Wang & Feng Fang & Qiang Zhang & Jinsong Wang & Yubi Yao & Wei Wang, 2016. "Risk evaluation of agricultural disaster impacts on food production in southern China by probability density method," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 83(3), pages 1605-1634, September.
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    9. Qi Zhang & Jiquan Zhang, 2016. "Drought hazard assessment in typical corn cultivated areas of China at present and potential climate change," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(2), pages 1323-1331, March.
    10. Saowanit Prabnakorn & Shreedhar Maskey & F. X. Suryadi & Charlotte Fraiture, 2019. "Assessment of drought hazard, exposure, vulnerability, and risk for rice cultivation in the Mun River Basin in Thailand," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 97(2), pages 891-911, June.
    11. Nayan D. Zagade & Bhavana N. Umrikar, 2021. "Drought severity modeling of upper Bhima river basin, western India, using GIS–AHP tools for effective mitigation and resource management," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 105(2), pages 1165-1188, January.
    12. Fengjie Gao & Si Zhang & Rui Yu & Yafang Zhao & Yuxin Chen & Ying Zhang, 2023. "Agricultural Drought Risk Assessment Based on a Comprehensive Model Using Geospatial Techniques in Songnen Plain, China," Land, MDPI, vol. 12(6), pages 1-19, June.

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