...
首页> 外文期刊>Natural Hazards >Drought hazard assessment using geoinformatics over parts of Chotanagpur plateau region, Jharkhand, India
【24h】

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

机译:使用地理信息学对印度贾坎德邦Chotanagpur高原地区的部分地区进行干旱灾害评估

获取原文
获取原文并翻译 | 示例
           

摘要

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.
机译:贾坎德邦州帕拉木地区反复发生的干旱事件以及这一主要单作地区的主要农业生产遭受的干旱损失严重,表明社会对干旱的持续敏感性。本文提出了一种基于空间,地理信息学的帕拉木地区农业,气象和水文干旱灾害评估方法。假设确定农业干旱危害的关键气候,生物物理和社会因素是土壤,地貌,排水密度,土地利用和救济,而对于气象干旱危害,则是降雨,降雨变化系数和水文干旱危害在于岩性,地下水位深度,含水层产量和地表水体。通过开发数字加权方案来评估每个因素中各类别的干旱潜力,从而创建了农业,气象和水文干旱灾害图的框架。通过对所有三种干旱进行空间连接而创建的累积图提供了总体上的干旱危害情景。在累积干旱危害情景下,干旱危害严重程度不同的区域(即极低(8.9%),低(24.2%),中度(29.2%),高(20.13)和极高(17.3%))显示为高该地区的干旱倾向性以及地理信息学在更好地预测干旱灾害空间预测中的作用。

著录项

  • 来源
    《Natural Hazards》 |2012年第2期|p.279-303|共25页
  • 作者单位

    Department of Applied Mathematics, Birla Institute of Technology, Mesra, Ranchi, 835215, India;

    Department of Remote Sensing, Birla Institute of Technology, Mesra, Ranchi, 835215, India;

    Department of Remote Sensing, Birla Institute of Technology, Mesra, Ranchi, 835215, India;

    Department of Applied Mathematics, Birla Institute of Technology, Mesra, Ranchi, 835215, India;

    Department of Applied Mathematics, Birla Institute of Technology, Mesra, Ranchi, 835215, India;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Drought; Hazard; Geoinformatics; Plateau; India;

    机译:干旱;危险;地球信息学;高原;印度;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号