| 基于环境因子AI-GIS方法的天然滑坡危险性预测--以香港大屿山岛为例 |
| |
| 引用本文： | 单新建,叶洪,李焯芬,陈国光.基于环境因子AI-GIS方法的天然滑坡危险性预测--以香港大屿山岛为例[J].地质科技情报,2004,23(3):109-112. |
| |
| 作者姓名： | 单新建 叶洪 李焯芬 陈国光 |
| |
| 作者单位： | 中国地震局地质研究所遥感与空间信息应用研究中心,北京,100029;香港大学土木工程系,香港 |
| |
| 摘 要： | 利用人工神经元网络(AI)及地理信息系统(GIS)技术,将多元空间信息分析与非线性理论相结合,建立了基于环境因子的区域滑坡非线性预测模型.选择天然滑坡比较发育的香港大屿山岛中部作为试验研究区,定量分析了滑坡与各种环境因子的空间关系,进行了因子筛选,据此对区域天然滑坡进行了危险性分区.结果表明,该方法可获取较高的预测精度,是完全可行的.该方法的应用将为区域滑坡危险性区划及滑坡灾害的防治提供重要依据.
|
| 关 键 词： | 人工神经元网络 地理信息系统 环境因子 区域滑坡预测 |
| 文章编号： | 1000-7849(2004)03-0109-04 |
| 修稿时间： | 2003年7月21日 |
PREDICTION OF REGIONAL LANDSLIDE DANGER AREAS USING AI-GIS BASED ON ENVIRONMENT FACTORS:AN EXAMPLE OF LANTAU ISLAND,HONGKONG |
| |
| SHAN Xin-jian,YE Hong,LI Zuo-fen,CHEN Guo-guang.PREDICTION OF REGIONAL LANDSLIDE DANGER AREAS USING AI-GIS BASED ON ENVIRONMENT FACTORS:AN EXAMPLE OF LANTAU ISLAND,HONGKONG[J].Geological Science and Technology Information,2004,23(3):109-112. |
| |
| Authors: | SHAN Xin-jian YE Hong LI Zuo-fen CHEN Guo-guang |
| |
| Institution: | SHAN Xin-jian~1,YE Hong~1,LI Zuo-fen~2,CHEN Guo-guang~1 |
| |
| Abstract: | By adopting artificial intelligence(AI) and GIS and multi-spatial information spacial analysis method and non-linear prediction method,the non-linear prediction model is set up on the basis of environmental factors.The middle part of Lantau Island in Hongkong is selected as an experimental study area,for the analysis of the relationship between landslides and environmental factors which are filtered. Hence, the first prediction map of regional landslide evaluation in the middle part of Lantau Island is obtained. The results show that AI-GIS model has a most precision, and obviously is better than other methods. The method will offer important scientific basis for studying the regional landslide danger areas and landslide disasteres. |
| |
| Keywords: | artificial intelligence(AI) GIS environmental factor prediction of regional landslide |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
