摘要
以SPOT5遥感影像为主要数据源,利用GIS空间分析功能,结合遥感技术,用层次分析法确定权重,采用加权综合分析法建立了青岛市崂山区地质灾害危险性综合评价模型,从地形地貌条件、地质条件、气候植被条件、水文条件、人为活动与历史灾害情况等方面,选取9个评价因子,对崂山地区地质灾害危险性进行了定量评价,并绘制了崂山区地质灾害危险性评价分区图。评价结果与实际基本相符合。
Based on the remote sensing and spatial analysis of GIS, the paper assesses the geological hazards risk of Qingdao Laoshan district from six aspects： landform and physiognomy, geological condition, climate and vegetation, hydrological condition, human activities and status of occurred disasters, with nine estimate factors. SPOT5 remote sensing data is used as the main data source. AHP is used to determine the weight of those factors, and WCA is used to build the model of geological hazard evaluation. The result is consistent with the actual situation, and it shows credible with these methods to risk evaluation of geological hazards.
出处
《中国海洋大学学报（自然科学版）》
CAS
CSCD
北大核心
2010年第6期47-52,152,共7页
Periodical of Ocean University of China
基金
国家海洋局908专项"其它海岸带地质灾害踏勘与调访"项目(908-01-ZH2)
海洋公益性项目"胶州湾水质预报关键技术前期研究"项目(20080511)资助
关键词
地质灾害
危险性评价
RS与GIS技术
层次分析法
加权综合分析法
geological hazards
risk assessment
GIS and RS methods
Andlytic Hierarchy Process （AHP）
Weigheed Clustering Algorithm（WCA）
