基于GIS的典型黄土区地质灾害致灾因子的优选与地表灾害过程模拟
Project Number41461084
牛全福
Abstract以典型黄土地形地貌为例,通过深入研究黄土地形地貌形态特征,构建定量表达典型黄土地貌与地表地质灾害相关的地表形态数字指标体系,利用GIS空间分析与遥感影像的复合分析、3D可视化等新技术方法和高精度DEM数据实现典型黄土地貌类型与地表地质灾害相关的地表形态数字指标的自动提取,研究典型黄土地貌的演化与地质灾害形成过程之间的因果关系,应用相关系数法、叠加分析和对比分析方法探索致灾因子的优选方法,并进行地表灾害过程模拟。【英文摘要】Acasestudyoftypicalloesslandforms,Theloesslandformmorphologicalcharacteristicswerestudyeddeeplytobuildadigitalindicatorsforquantitativeexpressionoftypicalloesslandform.whichwerealsorelatedtothegeologicaldisastersofthearea.ThedigitalindicatorswereextractedautomaticallywiththeGISspatialanalysis,compositeanalysisofremotesensingimageandnewtechnologiessuchas3DvisualizationmethodusinghighprecisionDEMdata.Theevolutionofthetypicalloesslandformswereresearchedandthecausalrelationshipbetweentheloesslandformandthegeologicaldisasterswerealsoexplored.Studyingtheoptimizationmethodsofdisaster-causingfactorswerecarriedonwiththemethodofcorrelationcoefficient,overlayanalysisandcomparativeanalysisfortheprocesssimulationofgroundsurfacedisasters.
Subtype地区科学基金项目
Project Source国家自然科学基金
2015-01
End Date2018-12
MOST Discipline Catalogue08 - 地球科学 ; 0801 - 地理学
Host Institution兰州理工大学
Project Funding400000.0
CountryCN
Language中文
Document Type项目
Identifierhttp://ir.lut.edu.cn/handle/2XXMBERH/64743
Collection土木工程学院
Recommended Citation
GB/T 7714
牛全福.基于GIS的典型黄土区地质灾害致灾因子的优选与地表灾害过程模拟.2015.
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