工程地质学报
工程地質學報
공정지질학보
2010年
1期
15-26
,共12页
许冲%戴福初%姚鑫%赵洲%肖建章
許遲%戴福初%姚鑫%趙洲%肖建章
허충%대복초%요흠%조주%초건장
汶川地震%滑坡%确定性系数法%易发性评价%GIS
汶川地震%滑坡%確定性繫數法%易髮性評價%GIS
문천지진%활파%학정성계수법%역발성평개%GIS
Wenchuan earthquake%Landslide%Certainty factor method%Susceptibility assessment%Geographic Information Systems
汶川Ms 8.0级大地震诱发了数以万计的滑坡灾害.在大约48678km~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,共解泽出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82.10~7%.
汶川Ms 8.0級大地震誘髮瞭數以萬計的滑坡災害.在大約48678km~2的滑坡影響區域內,作者採用震後遙感影像解譯併結閤野外調查的方法,共解澤齣48007處滑坡.應用GIS技術,建立瞭汶川地震誘髮滑坡災害及相關地形、地質空間數據庫.採用地震滑坡確定性繫數分析方法,分析瞭地震滑坡關于地震烈度、巖性、坡度、斷層、高程、坡嚮、河流與公路等8箇因素的易髮程度.基于GIS柵格分析方法,分彆對16種不同影響因子組閤類型進行地震滑坡易髮性評價.最後,應用AUC(Area Under Curve,評價麯線下麵積)方法得到最佳因子組閤及其對應的評價結果,使用自然分類法則方法將研究區按滑坡易髮程度分為極高易髮區、高易髮區、中易髮區、低易髮區與極低易髮區5類,極高易髮區與高易髮區麵積之和約11690.46km~2,佔研究區總麵積的24.02%,其中髮育滑坡麵積為524.84 km~2,佔滑坡總麵積的73.73%.結果錶明瞭極高與高易髮區與實際滑坡之間有著良好的一緻性,方法的評價結果成功率(AUC值)達到82.10~7%.
문천Ms 8.0급대지진유발료수이만계적활파재해.재대약48678km~2적활파영향구역내,작자채용진후요감영상해역병결합야외조사적방법,공해택출48007처활파.응용GIS기술,건립료문천지진유발활파재해급상관지형、지질공간수거고.채용지진활파학정성계수분석방법,분석료지진활파관우지진열도、암성、파도、단층、고정、파향、하류여공로등8개인소적역발정도.기우GIS책격분석방법,분별대16충불동영향인자조합류형진행지진활파역발성평개.최후,응용AUC(Area Under Curve,평개곡선하면적)방법득도최가인자조합급기대응적평개결과,사용자연분류법칙방법장연구구안활파역발정도분위겁고역발구、고역발구、중역발구、저역발구여겁저역발구5류,겁고역발구여고역발구면적지화약11690.46km~2,점연구구총면적적24.02%,기중발육활파면적위524.84 km~2,점활파총면적적73.73%.결과표명료겁고여고역발구여실제활파지간유착량호적일치성,방법적평개결과성공솔(AUC치)체도82.10~7%.
At 14:28(Beijing time) of May 12, 2008 ,a catastrophic earthquake with surface wave magnitude of 8.0struck Sichuan province of China. Tens of thousands of landslides were triggered by this earthquake over a bread atea. 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., 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. 10~7% in the form of AUC.