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基于GIS技术的区域滑坡灾害危险性预测
引用本文:张桂荣,殷坤龙,陈丽霞. 基于GIS技术的区域滑坡灾害危险性预测[J]. 岩土力学, 2006, 27(Z2): 389-393
作者姓名:张桂荣  殷坤龙  陈丽霞
作者单位:1、南京水利科学研究院 岩土工程研究所,南京 210024;2.中国地质大学 工程学院,武汉430074
基金项目:浙江省科学技术厅重大科技攻关招标项目(浙江省突发性地质灾害预警预报系统及应用示范研究);教育部博士点基金资助项目(No. 20030491004,滑坡灾害风险预测研究)
摘    要:基于GIS技术,利用信息量模型开展区域滑坡灾害危险性预测研究,编制滑坡灾害易发分区图,为滑坡灾害的风险预测及实时预警预报提供基础资料。以浙江省永嘉县为例,利用MAPGIS二次开发得到的信息量专业模块,结合永嘉县历史滑坡灾害和2004年以来新发生的灾害点,分别评价了研究区的历史滑坡灾害危险性和现状滑坡灾害危险性;提出用历史滑坡灾害危险性图件结合新发生的灾害点来验证评价模型;将历史灾害点和新灾害点结合生成滑坡灾害危险性预测图件的预测过程;研究成果经在永嘉县的实际验证分析,2004年后3次台风期间(2004年的“云娜” 台风,2005年的“海棠”和“麦莎”台风)发生的有准确地点的滑坡灾害点全部位于滑坡灾害易发区内,表明采用的模型具有较好的实用性和可靠性;采用历史统计和快速聚类相结合的方法进行危险性等级的划分,克服了前人研究工作中人为划分易发区的缺陷,更科学、客观。

关 键 词:滑坡灾害  危险性预测  信息量模型  GIS  减灾防灾  快速聚类  台风  
收稿时间:2006-10-28

Hazard forecasting of regional landslide hazards based on GIS
ZHANG Gui-rong,YIN Kun-long,CHEN Li-xia. Hazard forecasting of regional landslide hazards based on GIS[J]. Rock and Soil Mechanics, 2006, 27(Z2): 389-393
Authors:ZHANG Gui-rong  YIN Kun-long  CHEN Li-xia
Affiliation:1. Geotechnical Engineering Department of Nanjing Hydraulic Research Institute, Nanjing 210024, China; 2. Engineering Faculty,China University of Geosciences, Wuhan 430074, China
Abstract:Based on GIS, hazard forecasting of regional landslide hazards is studied; and the hazard zonation map is obtained, which presents the basic information for risk prediction and real-time alarm of landslide hazards. On the platform of MAPGIS software, professional module of information model for landslide hazards spatial forecasting and evaluation is obtained through customized development. By using the module, history and present landslide hazard risk are assessed separately in Yongjia County of Zhejiang Province using the data of history hazards and new hazards happened in 2004 of the county. Therefore ,we can believe that the evaluation model can be tested by history hazard zonation map coupled with new hazards. And it is tested that the new landslide hazards with accurate locations happened during the 3 times of typhoon (Rananim, Haitang and Matsa ) period of 2004 and 2005, which indicates that the evaluation model has great practicality and availability. At the same time, zonation classes obtained by statistic method of history hazards coupled with the method of fast clustering analysis, which conquers the disadvantages in zonation, are more scientific and more objective.
Keywords:landslide hazards  hazard forecasting  Information model  GIS  disaster prevention  fast clustering  typhoon  
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