地球信息科学学报 ›› 2013, Vol. 15 ›› Issue (2): 314-320.doi: 10.3724/SP.J.1047.2013.00314

• 地理空间分析综合应用 • 上一篇    

基于格网的洪水灾害危险性评价分析——以巴基斯坦为例

李晓萌, 马玥, 孙永华, 宫辉力, 李小娟   

  1. 城市环境过程与数字模拟国家重点实验室培育基地, 民政部灾害评估与风险防范重点实验室, 首都师范大学资源环境与旅游学院, 北京100048
  • 收稿日期:2012-02-15 修回日期:2012-12-10 出版日期:2013-04-25 发布日期:2013-04-18
  • 通讯作者: 孙永华(1982-),男,山东临沂人,讲师,主要从事遥感和GIS在生态水文中的应用研究。E-mail:syhua1982@163.com E-mail:syhua1982@163.com
  • 作者简介:李晓萌(1988-),女,北京人,硕士研究生,主要从事遥感和GIS在洪水灾害中的应用基础研究。E-mail:lxm110108@sina.com
  • 基金资助:

    国家科技支撑计划项目“中国巨灾应急救援信息系统集成与示范”(2008BAK49B07);发改委专项“环境与灾害监测预报小卫星星座减灾应用系统-灾害风险评估与预警系统”(TC088641)。

Flood Hazard Assessment in Pakistan at Grid Scale

LI Xiaomeng, MA Yue, SUN Yonghua, GONG Huili, LI Xiaojuan   

  1. Base of the State Laboratory of Urban Environmental Processes and Digital Modeling, Key Laboratory of Disaster Assessment and Risk Prevention (Ministry of Civil Affairs), College of Resources, Environment and Tourism, Capital Normal University, Beijing 100048
  • Received:2012-02-15 Revised:2012-12-10 Online:2013-04-25 Published:2013-04-18

摘要: 洪水灾害已成为给当今人类带来严重损失的自然灾害之一, 因此, 灾害风险评价是区域经济持续发展的前提与条件。本文从致灾因子和孕灾环境两方面进行分析, 综合考虑降水(累计降雨量和最大降雨量)、河流(河网密度)、地形(高程值和坡度值)、土地利用和植被(NDVI)共5 种相关因子, 以1km格网数据为基础, 运用AHP(层次分析法)对巴基斯坦洪水灾害进行了危险性评价。结果表明:巴基斯坦洪水灾害危险性受降雨和地形的影响较大, 其危险程度东南部大于西北部, 并由东南部向西北部逐渐递减。

关键词: 1km格网, GIS, 洪水灾害评价, AHP层次分析法

Abstract: Flood disaster had became one of the natural disasters which brings serious damage to human now. Therefore, the necessary flood disaster risk assessment had to make in time. Based on 1km grid data, the disaster- causing factors and the disaster-pregnant environment were analyzed. Five related factors including precipitation (accumulated rainfall and maximum rainfall), rivers (drainage density), terrain (slope and elevation), land use and vegetation (NDVI) were selected, and the hazard of flood disaster were evaluated using AHP (Analytic Hierarchy Process) method in Pakistan. On this basis, the results were correspondingly analyzed. The results show that: flood disaster hazard in Pakistan was much more influenced by precipitation and terrain, the danger level of the flood disaster in southeast was more higher than in the northwest, and the danger level was decreasing from southeast to northwest gradually. Finally, the flood hazard assessment results were compared with the 2010 Pakistan flood distribution and it show that the results wrer consistent. It demonstrates the feasibility of the method used in this paper and it can be applied elsewhere in the future.

Key words: 1km grid scale, GIS, flood hazard assessment, AHP