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青藏高原高山峡谷地貌区地质灾害危险性评价——以雅江县为例
1, 2, 1, 3,4

(1.chengdouligongdaxue diqiukexuexueyuan, chengdou 610059; 2.xinankejidaxue, sichuan mianyang 621010; 3.dizhizaihaifangzhiyudizhihuanjingbaohuguojiazhongdianshiyanshi(chengdouligongdaxue), chengdou 610059; 4.chengdouligongdaxue shengtaihuanjingxueyuan, chengdou 610059)

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Assessment on Hazard of Geological Disasters in Alpine and Canyon Landforms of Qinghai-Tibet Plateau-A Case Study of Yajiang County
LI Yifei1, LIU Yanguo2, LIANG Liping1, LI Jingji3,4

(1.college of earth sciences, chengdu university of technology, chengdu 610059, china; 2.southwest university of science and technology, mianyang, sichuan 621010, china; 3.state key laboratory of geohazard prevention and geoenvironment protection, chengdu university of technology, chengdu 610059, china; 4.college of ecology and environment, chengdu university of technology, chengdu 610059, china)

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备注

对雅江县进行地质灾害危险性分区,并为其县城建设提供依据。借助谷歌影像解译,获取崩塌、滑坡、泥石流等地质灾害点224处。选取工程岩组、土壤类型、土地利用类型、坡度、坡向、归一化植被指数(NDVI)、距道路距离、距河流距离、降水量9个评价指标。运用信息量模型、ArcGIS空间分析平台得到各因子信息量值,再根据信息量值对该研究区进行了地质灾害危险性分区。结果表明:研究区极高和高危险区分别占总研究区面积的4.53%,9.89%。地质灾害点共170处落在极高危险区和高危险区内,占总样本灾害点的75.89%。地质灾害主要分布在断裂发育、岩体较破碎的河流两侧以及道路旁边。通过受试者工作特征曲线(ROC)进行检验,其线下面积(AUC)为0.909,评价模型精度较高。雅江县的地质灾害危险性评价结果为雅江县防灾减灾以及青藏高原东南缘地区的地质灾害危险性评价提供了参考依据。
In order to provide a theoretical basis for construction of the Yajiang County, the risk zoning was carried out in Yajiang County. With the help of Google image interpretation, 224 geological disasters such as collapses, landslides and debris flows in Yajiang County were obtained. The evaluation index system was constructed by lithology, soil, land use type, slope, aspect, normalized difference vegetation index(NDVI), distance to river, distance to road and precipitation. Disaster risk zoning was carried out through the information content model and the ArcGIS spatial analysis platform. The results show that the extremely high and high-risk areas in the study area accounted for 4.53% and 9.89% of the total study area, respectively; a total of 170 geological disaster sites fell in extremely high and high-risk areas accounting for 75.89% of the total sample disaster points; geological disasters mainly distributed on both sides of rivers and roads where faults are developed and rock mass is relatively broken. The test was performed by the offline area(AUC)of the receiver operating characteristic curve(ROC), and its value was 0.909, and the evaluation model was excellent in accuracy. The results of geological hazard assessment can provide reference for disaster prevention and reduction in Yajiang County and geological hazard assessment in the southeastern margin of Qinghai-Tibet Plateau.
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