摘要
滑坡是一种常见的地质灾害,其危害性极大,科学地划分滑坡危险度是防灾减灾工作中主动预测预警的重要环节。该文结合GIS技术与信息熵理论,充分利用熵值法特别适合于确定同一个指标下不同因素相对权重的特点,开展了滑坡危险度区划模型中证据权法的改进研究,并以台湾地区为实验区,在综合考虑滑坡的形成要素并提取滑坡危险度评价因子后,实现了研究区滑坡危险度区划。通过定性和定量等精度检验和对比分析,证明了结合信息熵改进的证据权法所获得的滑坡危险度区划结果更准确且更符合实际。
The landslide is a common geological disaster and has enormous hazardous. It has been an important active forecasting and alerting work of the disaster prevention and mitigation to zone scientifically the hazard. The weights of evidence method is improved to zone the landslide hazard by fully using some entropy characteristics based on the information entropy theory that is particularly suitable to determine the relative weights of the different factors for the same indicators. The landslide hazard in Taiwan was zoned by the improved weights of evidence method and the GIS technologies after the slide elements were compre- hensively considered and the disaster-causing evidence factors were extracted. The zoned results prove that the entropy-based weights of evidence method is more actual for the hazard zonation in the experimental site and the zoning precise is better through the qualitative and quantitative accuracy check and contrast analysis.
出处
《地理与地理信息科学》
CSCD
北大核心
2013年第3期104-108,F0003,共6页
Geography and Geo-Information Science
基金
国家自然科学基金项目(41271436)
中央高校基本科研业务费专项资金项目(2009QD02)
