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| Susceptibility assessment of geological disasters in Sishui County based on the coupling model of Information Content and Analytic Hierarchy Process method |
| LIU Kang1, TIAN Chenlong2, XU Fenglin2 |
1. Shandong Provincial Lunan Geology and Exploration Institute(No.2 Geological Brigade, Shandong Provincial Bureau of Geology and Mineral Resources), Shandong Yanzhou 272100, China;
2. Investigation and Geomatics Institute of Jining, Shandong Jining 272000, China |
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Abstract Taking Sishui County as the study area, the researchers in this paper selected 9 evaluation factors, such as regional landforms, geological structure, lithology and engineering activity. Based on GIS data analysis function, the information value and weight of each factor were identified by Information Content and Analytic Hierarchy Process method to evaluate geological disasters susceptibility. The results show that the biggest information content located in low mountainous area, with slope of 28°-65°, west and northwest slope aspect, hard medium - thick layered clastic rock, shale and sandstone with limestone rock group, 700-730 mm rainfall and 0.10 g ground motion acceleration. The comprehensive weight value of each factor in descending order is 0.21 for regional landform, 0.16 for rainfall, 0.14 for slope, 0.10 for lithologic character and engineering activities, 0.09 for slope aspect, 0.07 for geological structure and earthquake, and 0.06 for river systems. The high-prone area is 294.26 km2, accounting for 26.30% of area proportion and 84.62% of disaster points proportion. The medium-prone area is 66.28 km2, accounting for 5.92% of area proportion and 15.38% of disaster points proportion. The low-prone area is 758.42 km2, accounting for 67.78% of area proportion. The rationality test of the susceptibility assessment shows that the CR of the three constructed matrices is 0.000, 0.013 and 0.020, which are all less than 0.100, indicating that the susceptibility evaluation is reasonable. This research results can provide theoretical basis for geological disaster prevention, land use planning and geological environment protection in the study area.
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Received: 18 October 2022
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[1] 鲁霞,兰安军,母浩江,等.基于信息量模型的盘州市地质灾害易发性评价[J].科学技术与工程,2020,20(14):5544-5551.
Lu X,Lan A J,Mu H J,et al.Geological hazard risk assessment based on information quantity model in Panzhou City[J].Sci Technol Eng,2020,20(14):5544-5551.
[2] 毛佳睿,李铁锋,田运涛,等.基于物源特征的白龙江流域泥石流易发性评价[J].科学技术与工程,2020,20(28):11479-11490.
Mao J R,Li T F,Tian Y T,et al.Evaluation of debris flow susceptibility in Bailong River Basin based on source characteristics[J].Sci Technol Eng,2020,20(28):11479-11490.
[3] Sandric I,Ionita C,Chitu Z,et al.Using CUDA to accelerate uncertainty propagation modelling for landslide susceptibility assessment[J].Environ Modell Software,2019,115:176-186.
[4] 陈朝亮,张文君,钱静,等.基于改进Logistic回归模型在地质灾害评价中的应用[J].环境科学与技术,2019,42(4):188-193,213.
Chen C L,Zhang W J,Qian J,et al.Application of improved logistic regression model in geological hazard evaluation[J].Environ Sci Technol,2019,42(4):188-193,213.
[5] Aditian A,Kubota T,Shinohara Y.Comparison of GIS-based landslide susceptibility models using frequency ratio,logistic regression,and artificial neural network in a tertiary region of Ambon,Indonesia[J].Geomorphology,2018,318:101-111.
[6] Juliev M,Mergili M,Mondal I,et al.Comparative analysis of statistical methods for landslide susceptibility mapping in the Bostanlik District,Uzbekistan[J].Sci Total Environ,2019,653:801-814.
[7] 张书豪,吴光.随机森林与GIS的泥石流易发性及可靠性[J].地球科学,2019,44(9):3115-3134.
Zhang S H,Wu G.Debris flow susceptibility and its reliability based on random forest and GIS[J].Earth Sci,2019,44(9):3115-3134.
[8] 李益敏,李驭豪,赵志芳.基于确定性系数模型的泸水市泥石流易发性评价[J].水土保持研究,2019,26(4):336-342.
Li Y M,Li Y H,Zhao Z F.Assessment on susceptibility of debris flow in Lushui based on the certain factor model[J].Res Soil Water Conserv,2019,26(4):336-342.
[9] Hu J,Chen J,Chen Z,et al.Risk assessment of seismic hazards in hydraulic fracturing areas based on fuzzy comprehensive evaluation and AHP method (FAHP):A case analysis of Shangluo area in Yibin City,Sichuan Province,China[J].J Pet Sci Eng,2018,170:797-812.
[10] 梁丽萍,刘延国,唐自豪,等.基于加权信息量的地质灾害易发性评价——以四川省泸定县为例[J].水土保持通报,2019,39(6):176-182.
Liang L P,Liu Y G,Tang Z H,et al.Geologic hazards susceptibility assessment based on weighted information value:A case study in Luding County,Sichuan Province[J].Bull Soil Water Conserv,2019,39(6):176-182.
[11] 邓念东,崔阳阳,郭有金.基于频率比-随机森林模型的滑坡易发性评价[J].科学技术与工程,2020,20(34):13990-13996.
Deng N D,Cui Y Y,Gao Y J.Frequency ratio-random forest-model-based landslide susceptibility assessment[J].Sci Technol Eng,2020,20(34):13990-13996.
[12] 陈飞,蔡超,李小双,等.基于信息量与神经网络模型的滑坡易发性评价[J].岩石力学与工程学报,2020,39(S1):2859-2870.
Chen F,Cai C,Li X S,et al.Evaluation of landslide susceptibility based on information volume and neural network model[J].Chin J Rock Mech Eng,2020,39(S1):2859-2870.
[13] 李利峰,张晓虎,邓慧琳,等.基于熵指数与逻辑回归耦合模型的滑坡灾害易发性评价——以蓝田县为例[J].科学技术与工程,2020,20(14):5536-5543.
Li L F,Zhang X H,Deng H L,et al.Assessment of landslide susceptibility based on coupling model of index of entropy and logistic regression:A case study of Lantian County[J].Sci Technol Eng,2020,20(14):5536-5543.
[14] 殷坤龙,晏同珍.汉江河谷旬阳段区域滑坡规律及斜坡不稳定性预测[J].地球科学,1987,12(6):631-638.
Yin K L,Yan T Z.Distribution regularity of landslides and prediction of slope instability nearby Xunyang,Han River valley[J].Earth Sci,1987,12(6):631-638.
[15] Saaty T L,Bennett J P.A theory of analytical hierarchies applied to political candidacy[J].Behav Sci,1977,22(4):237-245.
[16] 张增奇,张成基,王世进,等.山东省地层侵入岩构造单元划分对比意见[J].山东国土资源,2014,30(3):1-23.
Zhang Z Q,Zhang C J,Wang S J,et al.Views on classification and contrast of tectonic units in strata in Shandong Province[J].Shandong Land Resour,2014,30(3):1-23.
[17] 姜木鸿. 地貌演化与地质灾害[C]//自然边坡稳定性分析暨华蓥山边坡变形研讨会论文集.重庆:中国岩石力学与工程学会,1991:103-111.
Jiang M H.Landform evolution and geological disasters[C]//Proceedings of the Natural Slope Stability Analysis & Huayingshan Slope Deformation.Chongqing:Chinese Society for Rock Mechanics & Engineering,1991:103-111.
[18] 杨敏. 岷江上游寿江流域地质灾害危险性分析[D].成都:成都理工大学,2017.
Yang M.Risk Analysis of Geological Hazards in the Shoujiang River Basin of the Upper Reach of Minjiang[D].Chengdu:Chengdu University of Technology,2017.
[19] 刘任鸿,李明辉,邓英尔,等.基于GIS的华蓥市地质灾害易发性评价[J].沉积与特提斯地质,2021,41(1):129-136.
Liu R H,Li M H,Deng Y E,et al.GIS assessments of geologic hazards in Huaying City,Sichuan[J].Sediment Geol Tethyan Geol,2021,41(1):129-136.
[20] 中国地震局.GB 18306—2015中国地震动参数区划图[S].2015.
China Earthquake Administration.GB 18306—2015 Seismic Ground Motion Parameter Zonation Map of China[S].2015. |
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2023, Vol. 10 
