基于邏輯回歸模型的黃河上游段滑坡易發(fā)性分析

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關(guān)鍵詞：滑坡易發(fā)性；邏輯回歸模型；影響因子；黃河上游段中圖分類號(hào)：X43;TV882.1 文獻(xiàn)標(biāo)志碼：A doi：10.3969/j.issn.1000-1379.2025.07.006引用格式：，，，等.基于邏輯回歸模型的黃河上游段滑坡易發(fā)性分析[J].人民黃河，2025，47（7）：35-39

Analysis of Landslide Susceptibility in the Upper Reaches of the Yellow River Based on Logistic Regression Model

ZHANG Huarui1， YU Bo2 ， XU Peng1， ZENG Feixiangl （1.Guiyang Engineering Corporation Limited，Power China，Guiyang 55Oo81，China； 2.Hydropower and Water Resources Planning & Design General Institute，Power China，Beijing 1Oo12O，China）

Abstract：ForthelandslidedsasterinthesetionfromChada VillgetoSongbaVillageintheuppereachesofteYelowRivralogistic regresiomodlwasstablishdtoonductasysteaticalisofitssuseptibilitasdoeasisoftedsaster-pregntio ment，eightinfluencingfactors，includingNormalizedDferenceVegetationIndex（NDVI），DigitalElevationModel（DE），slope， aspect，precipiatio，emperatueoundtemperaturendBAS-SARtseriessurfacedfoatiodatawereselectedtoldadicatorsystemfndslidusceptibilitalysisubeqentlytnaylstceionodelsutldteleioatitie relationshipsbetweenteseifluencngfactorsadthoccurenceoflandslides.Inodertofurterrefineteresearch，spatialcosistency processing was peformedonlocal influencingfactors，and 362 landslidegrid points，covering atotal areaof aproximately 2.855km2 were established.Teessonitsdgessatiosforchifuengfactoetnetedyusigtelistic regresionmodelinalltheoccurenceprobabilityoflandslideazadsinthestudyareawasderivdbyusingteprobabilistciplicit function.Basedonteultsbtaindfroelgsticgresionodel，esatialdisrbutionpsoflandslidesseptbilitinthe studyareawerisussdItifondathigskresarealyoncentratdinegosithsteeeinoegeatioo harsh meteorological conditions.

Keywords：landslidesusceptibility；logistic susceptibilitymode；influencingfactors；upper reachesontheYelowRiver

0 引言

滑坡作為一種具有重大破壞性的自然災(zāi)害，在全球范圍內(nèi)廣泛分布，對(duì)人類生命財(cái)產(chǎn)安全構(gòu)成嚴(yán)重威脅[]。（剩余5661字）