Analysis of the distribution law and main control factors of geological hazards: A case study of Ganluo County
TANG Yao1,2, WANG Lijuan2,3, LI Lisheng1,2, JIN Xiao1,2
1. Sichuan Anxin Kechuang Technology Co., Ltd, Sichuan Chengdu 610097, China;
2. Major Hazard Measurement and Control Key Laboratory of Sichuan Province, Sichuan Chengdu, 610041, China;
3. Sichuan National Defense Science and Technology Information Institute, Sichuan Chengdu 610041, China
Abstract:Geological disasters occur frequently in Ganluo County, which seriously threatens the safety of local people's lives and property, and affects the harmonious development of the social economy. The geographical location, meteorology and hydrology, geological lithology, fault structures, and human engineering activities of Ganluo County were induced, and the spatial and temporal distribution of geological disasters were analyzed. And the main controlling factors of geological disasters were analyzed through Analytic Hierarchy Process and judgment matrix. The results show that in terms of time, the occurrence of disasters is concentrated from July to September each year (accounting for more than 90%), and is closely related to the rainy season rainfall. Spatially, it is mainly distributed along rivers and fault belts, and is consistent with the distribution of slip prone strata and highly overlapping with human engineering activity areas. The main controlling factors for geological disasters in the area are terrain, geomorphology, lithology and distance from fault. This research result could provide references for natural resources, emergency management and other departments in this area to formulate comprehensive management, monitoring and early warning and other natural disaster prevention and reduction decisions.
唐尧, 王立娟, 李力生, 靳晓. 地质灾害分布规律及主控要素分析——以甘洛县为例[J]. 中国地质调查, 2024, 11(3): 101-107.
TANG Yao, WANG Lijuan, LI Lisheng, JIN Xiao. Analysis of the distribution law and main control factors of geological hazards: A case study of Ganluo County. , 2024, 11(3): 101-107.
[1] 黄润秋. 中国西部地区典型岩质滑坡机理研究[J].地球科学进展,2004,19(3):443-450.
Hang R Q.Mechanism of large scale landslides in Western China[J].Advance in Earth Sciences,2004,19(3):443-450.
[2] 宋志. 磨西河流域区域性泥石流形成特征与危险性区划[D].成都:成都理工大学,2011.
Song Z.Regional Debris Flow Formation Characters and Fatalness Regionalization on Moxi River Basin[D].Chengdu:Chengdu University of Technology,2011.
[3] 乔建平. 中国滑坡灾害现状与防御对策[J].自然灾害学报,2007,16(S1):92-98.
Qiao J P.Present situation of landslide disaster and prevention countermeasures in China[J].Journal of Natural Disasters,2007,16(S1):92-98.
[4] 孙蕊,丁雨虹,郭海燕,等.基于GIS的四川省降水诱发型滑坡泥石流风险区划[J].高原山地气象研究,2022,42(3):111-116,140.
Sun R,Ding Y H,Guo H Y,et al.GIS-based zoning of rainfall-induced landslide and debris flow risk in Sichuan Province[J].Plateau and Mountain Meteorology Research,2022,42(3):111-116,140.
[5] 黄润秋,赵松江,宋肖冰,等.四川省宣汉县天台乡滑坡形成过程和机理分析[J].水文地质工程地质,2005,32(1):13-15.
Huang R Q,Zhao S J,Song X B,et al.The formation and mechanism analysis of Tiantai landslide,Xuanhan County,Sichuan Province[J].Hydrogeology and Engineering Geology,2005,32(1):13-15.
[6] 侯儒宁,李志,陈宁生,等.基于流域单元和堆叠集成模型的天山地区泥石流易发性评估建模[J].地球科学,2023,48(5):1892-1907.
Hou R N,Li Z,Chen N S,et al.Modeling of debris flow susceptibility assessment in Tianshan based on watershed unit and stacking ensemble algorithm[J].Earth Science,2023,48(5):1892-1907.
[7] 唐尧,王立娟,廖军,等.基于InSAR技术的川西高山峡谷区地质灾害早期识别研究——以小金川河流域为例[J].中国地质调查,2022,9(2):119-128.
Tang Y,Wang L J,Liao J,et al.Research on early identification of geological hazards in high mountain and valley areas of western Sichuan Province based on InSAR technology:A case study of Xiaojinchuan River Basin[J].Geological Survey of China,2022,9(2):119-128.
[8] 刘丽,王建中,王士革.四川省泥石流灾害保险的风险分析与区划[J].自然灾害学报,2003,12(1):103-108.
Liu L,Wang J Z,Wang S G.Risk analysis and regionalization for the insurance of debris-flow disaster in Sichuan Province[J].Journal of Natural Disasters,2003,12(1):103-108.
[9] 张彦锋. 循环冻融作用下冰碛土碎化机制及其致灾效应研究[D].北京:中国地质大学(北京),2020.
Zhang Y F.Research on the Mechanism of Glacial Till Fragmentati on and its Breaking Effects Under Freeze-Thaw Cycles[D].Beijing:China University of Geosciences (Beijing),2020.
[10] 黄海峰,林海玉,吕奕铭,等.基于小型无人机遥感的单体地质灾害应急调查方法与实践[J].工程地质学报,2017,25(2):447-454.
Huang H F,Lin H Y,Lü Y M,et al.Micro unmanned aerial vehicle based remote sensing method and application for emergency survey of individual geohazard[J].Journal of Engineering Geology,2017,25(2):447-454.
[11] 荆成明. 甘洛县赤普沟泥石流危险性评价[D].成都:西南交通大学,2010.
Jing C M.Danger Assessment of Debris Flow in Ghipu Gully of Ganluo County[D].Chengdu:Southwest Jiaotong University,2010.
[12] 槐永波,叶胜华,赵其苏.汶川地震10年来北川县地质灾害发育规律分析[J].人民长江,2021,52(S2):83-87.
Huai Y B,Ye S H,Zhao Q S.Geological disaster deelopment law of Beichuan County in recent ten years after Wenchuan Earthquake[J].Yangtze River,2021,52(S2):83-87.
[13] 梁靖,王彦东,裴向军.基于时序遥感数据的九寨沟核心景区崩塌发育分布特征[J].科学技术与工程,2022,22(19):8210-8217.
Liang J,Wang Y D,Pei X J.Development and distribution characteristics of Jiuzhaigou collapse based on time series remote sensing data[J].Science Technology and Engineering,2022,22(19):8210-8217.
[14] 唐尧,马松,王立娟,等.高分辨率遥感技术在地质灾害调查与成灾规律分析中的应用——以攀西米易地区为例[J].中国地质调查,2022,9(3):96-103.
Tang Y,Ma S,Wang L J,et al.Application of high resolution remote sensing technology in geological disaster investigation and disaster law analysis:A case study of Panxi Miyi area[J].Geological Survey of China,2022,9(3):96-103.