...
首页> 外文期刊>Ecology, Environment and Conservation >Assessment of agricultural drought vulnerability, using matrix overlay
【24h】

Assessment of agricultural drought vulnerability, using matrix overlay

机译:使用矩阵叠加法评估农业干旱脆弱性

获取原文
获取原文并翻译 | 示例
           

摘要

In this paper area under vulnerability of Agricultural Drought was evaluated using matrix overlay and GIS technique. The purpose of this study was to make a model of the drought vulnerability area using matrix overlay (with emphasis in Agricultural Drought). Matrix overlay function in ArcGIS developed by IRRFIB model and expert judgment. Vulnerability indicators have different severity of vulnerability classification. The Agricultural drought Vulnerability indicator maps are five indicators that arerelated to Agricultural drought. Each of the Vulnerability indicator maps and also final Vulnerability maps are classified into 4 Vulnerability classes of drought: mild, moderate, severe and very severe. Result of this paper show that the mild and moderate drought Vulnerability area cover mainly surface of the region, mild and moderate drought vulnerability covers approximately 38.3% and 38.2% of the regain. Almost the severe drought vulnerability area covers approximately 21.7% and very severe droughtvulnerability area covers approximately 1.8% of the regain.
机译:本文利用矩阵叠加法和GIS技术对农业干旱脆弱性地区进行了评估。本研究的目的是使用矩阵叠加法(以农业干旱为重点)建立干旱脆弱性地区的模型。通过IRRFIB模型和专家判断开发的ArcGIS中的矩阵叠加功能。漏洞指标具有不同的漏洞分类严重性。农业干旱脆弱性指标图是与农业干旱相关的五个指标。每个漏洞指标图以及最终漏洞图都分为4个干旱类别:轻度,中度,严重和非常严重。结果表明,轻度和中度干旱脆弱性区域主要覆盖该区域的表面,轻度和中度干旱脆弱性区域约占恢复的38.3%和38.2%。几乎严重的干旱脆弱性地区覆盖约21.7%,非常严重的干旱脆弱性地区覆盖约1.8%的恢复。

著录项

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