许冲, 戴福初, 肖建章, . 2010: 基于GIS与确定性系数分析方法的汶川地震滑坡易发性评价. 工程地质学报, 18(1): 15.
    引用本文: 许冲, 戴福初, 肖建章, . 2010: 基于GIS与确定性系数分析方法的汶川地震滑坡易发性评价. 工程地质学报, 18(1): 15.
    XU Chong, DAI Fuchu, YAO Xin, ZHAO Zhou, XIAO Jianzhang. 2010: GIS PLATFORM AND CERTAINTY FACTOR ANALYSIS METHOD BASED WENCHUAN EARTHQUAKEINDUCED LANDSLIDE SUSCEPTIBILITY EVALUATION. JOURNAL OF ENGINEERING GEOLOGY, 18(1): 15.
    Citation: XU Chong, DAI Fuchu, YAO Xin, ZHAO Zhou, XIAO Jianzhang. 2010: GIS PLATFORM AND CERTAINTY FACTOR ANALYSIS METHOD BASED WENCHUAN EARTHQUAKEINDUCED LANDSLIDE SUSCEPTIBILITY EVALUATION. JOURNAL OF ENGINEERING GEOLOGY, 18(1): 15.

    基于GIS与确定性系数分析方法的汶川地震滑坡易发性评价

    GIS PLATFORM AND CERTAINTY FACTOR ANALYSIS METHOD BASED WENCHUAN EARTHQUAKEINDUCED LANDSLIDE SUSCEPTIBILITY EVALUATION

    • 摘要: 汶川Ms 80级大地震诱发了数以万计的滑坡灾害。在大约48678 km2的滑坡影响区域内,作者采用震后遥感影像解译并结合野外调查的方法,共解译出48007处滑坡。应用GIS技术,建立了汶川地震诱发滑坡灾害及相关地形、地质空间数据库。采用地震滑坡确定性系数分析方法,分析了地震滑坡关于地震烈度、岩性、坡度、断层、高程、坡向、河流与公路等8个因素的易发程度。基于GIS栅格分析方法,分别对16种不同影响因子组合类型进行地震滑坡易发性评价。最后,应用AUC(Area Under Curve,评价曲线下面积)方法得到最佳因子组合及其对应的评价结果,使用自然分类法则方法将研究区按滑坡易发程度分为极高易发区、高易发区、中易发区、低易发区与极低易发区5类,极高易发区与高易发区面积之和约1169046km2,占研究区总面积的2402%,其中发育滑坡面积为52484 km2,占滑坡总面积的7373%。结果表明了极高与高易发区与实际滑坡之间有着良好的一致性,方法的评价结果成功率(AUC值)达到82107%。

       

      Abstract: At 14:28(Beijing time)of May 12, 2008,a catastrophic earthquake with surface wave magnitude of 80 struck Sichuan province of China. Tens of thousands of landslides were triggered by this earthquake over a broad area. A total of 48007 landslides were interpreted from aerial photographs and multisource remote sensing imageries,verified by field check. A spatial database,including landslides and associated controlling parameters which may have influence on the occurrence of landslides,was developed and analyzed using geographical information system(GIS)technology. The eight factors that influence landslide occurrence,including seismic intensity,lithology,slope angle,faults,elevation,slope aspect,drainages and roads were created in raster data format base on GIS platform. The landslide susceptibility index of all ranks in each impact factor was calculated,using the certainty factor analysis method. Earthquakeinduced landslide susceptibility areas of 16 impact factor combination categories were analyzed and mapped one after another,using the GIS raster analysis methods. The susceptibility result of the highest AUC(Area Under Curve)was used to create susceptibility map by using Natural Breaks law. The resulting susceptibility map showed five classes of landslide susceptibility,ie.〖KG-*5〗,extremely high,high,moderate,low,and extremely low. The validation results showed satisfactory agreement between the susceptibility map and the existing data on landslide distributions. The area with extremely high and high susceptibility accounts for about 1169046 km2, 2402% of the study area,includes landslide areas of 52484 km2, 7373% of all landslide areas. The susceptibility success accuracy was up to 82107% in the form of AUC.

       

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