Landslide Susceptibility Assessment of Longchuan County Based on GIS and Information Value Model
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摘要: 云南省陇川县地质环境脆弱，易发生滑坡灾害，对其开展滑坡易发性评价对指导陇川县的滑坡地质灾害防治具有重大意义。根据陇川县地理环境、地质环境、人类活动等条件，选取高程、坡度、坡向、剖面曲率、平面曲率、归一化植被指数、水系距离、断层距离、地层岩性和道路距离等10个评价因子，利用信息量模型和ArcGIS软件进行滑坡易发性评价。结果表明，滑坡高易发区主要位于研究区北部、东南部和西南部；中易发区主要位于中部、东部和西部部分地区；低易发区主要位于陇把镇、城子镇大部分地区和户撒阿昌族乡的西北部；不易发区主要位于清平乡中部、城子镇中部部分地区、以及章凤镇大部分地区。在中易发区和高易发区包含83.56%的滑坡灾害点，且滑坡面积随着易发性等级的增加也随之增大。滑坡中、高易发区内发生的滑坡面积分别占研究区滑坡面积的22.79%和58.13%，分析结果与实际灾害分布特征相吻合，可为研究区及类似区域的滑坡地质灾害防灾减灾工作提供参考意见。Abstract: The geological environment of Longchuan County, Yunnan Province, is fragile and vulnerable to landslides. Analyzing the susceptibility of regional landslide hazards is of great significance to prevent and control the landslides in this area. Ten evaluation factors are established. They are elevation, slope, slope direction, section curvature, plane curvature, normalized vegetation index, distance from water system, fault distance, lithology and road distance. Landslide susceptibility evaluation is assessed by using information value model and Geographic Information System(GIS). The results show that the high landslide susceptibility zones are mainly located in the north, southeast and southwest of the study area; the moderate landslide susceptibility zones are mainly in the central, eastern and western parts of the study area; the low landslide susceptibility zones are mainly in Longba Township, most of Chengzizhen and northwest of Hu Sa Achang; the extremely low landslide susceptibility zones are mainly located in the central and urban areas of Qingping,part of the central part of Chenzi and most of Zhangfeng. 83.56% of the landslide hazards are in the middle and high susceptible zones, and the area of landslide increases with the increase of the susceptibility grade. The area of the middle and the high landslides susceptible zones accounts for 22.79% and 58.13% respectively of the total study area.The results are consistent with the actual distribution of landslide hazards, which can provide theoretical reference for disaster prevention and mitigation in the study area.
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殷坤龙,朱良峰.滑坡灾害空间区划及GIS应用研究[J].地学前缘,2001,(02):279-284. YIN Kunlong,ZHU Liangfeng.Landslide hazard zonation and application of GIS[J].Earth Science Frontiers,2001,(02):279-284.
中国地质调查局环境监测院,地质灾害监测预警室.2018年全国地质灾害通报[EB/OL]. http://www.cigem.cgs.gov.cn/gzdt_4839/dwdt_4861/201904/t20190417_479382.html,2019-04-17. 沈志红.泥石流堆积区对公路工程的影响[D].西安:长安大学,2010. SHEN Zhihong. Debris flow deposition area on the impact of road works[D].Xi'an:Chang An University,2010.
管新邦. 云南省滑坡地质灾害危险性评价研究[D].北京:中国矿业大学(北京),2018. GUAN Xinbang. Study on Risk Assessment of Landslide in Yunnan Province[D].Beijing:China University of Ming&Technology(Beijing),2018.
陇川县国土资源局.陇川县国土资源志(1998-2015)[M]. 陇川:陇川县国土资源局编纂,2016. Department of Land and Resources in Longchuan County. Land and Resources Records in LongChuan County(1998-2015)[M]. Longchuan:Department of Land and Resources in LongChuan County, 2016.
范林峰,胡瑞林,曾逢春,等.加权信息量模型在滑坡易发性评价中的应用——以湖北省恩施市为例[J].工程地质学报,2012,20(04):508-513. FAN Linfeng, HU Ruilin, ZENG Fengchun, et al. Application of weighted information value model to landslide susceptibility assessment _a case study of Enshi City, Hubei province[J]. Journal of Engineering Geology, 2012,20(04):508-513.
吴少元.基于信息量模型的厦门市崩塌和滑坡地质灾害易发性评价[J].安全与环境工程,2019,26(03):22-27. WU Shaoyuan. Susceptibility Evaluation of Geological Hazards of Collapse and Landslides in Xiamen City Based on Information Model[J]. Safety and Environmental Engineering, 2019,26(03):22-27.
王志旺,李端有,王湘桂.区域滑坡空间预测方法研究综述[J].长江科学院院报,2012,29(05):78-85. WANG Zhiwang, LI Duanyou, WANG Xianggui. Review of research of regional landslide susceptibility mapping model[J]. Journal of Yangtze River Scientific Research Institute,2012,29(05):78-85.
杨根云,周伟,方教勇.基于信息量模型和数据标准化的滑坡易发性评价[J].地球信息科学学报,2018,20(05):674-683. YANG Genyun, ZHOU Wei, FANG Jiaoyong. Assessment of landslide susceptibility based on information quantity model and data normalization[J]. Journal of Geo-information Science, 2018,20(5):674-683.
张俊,殷坤龙,王佳佳,等.三峡库区万州区滑坡灾害易发性评价研究[J].岩石力学与工程学报,2016,35(02):284-296. ZHANG Jun, YIN Kunlong, WANG Jiajia, et al. Evaluation of landslide susceptibility for Wanzhou district of Three Gorges Reservoir[J]. Chinese Journal of Rock Mechanics and Engineering, 2016,35(02):284-296.
杜军,杨青华,严嘉,等.基于GIS与信息量模型的汶川次生地质灾害危险性评价[J].地球科学(中国地质大学学报),2010,35(02):324-330. DU Jun, YANG Qinghua, YAN Jia, et al. Hazard Evaluation of Secondary Geological Disaster Based on GIS and Information Value Method[J]. Earth Science-Journal of China University of Geosciences, 2010,35(02):324-330.
谭玉敏,郭栋,白冰心,等.基于信息量模型的涪陵区地质灾害易发性评价[J].地球信息科学学报,2015,17(12):1554-1562. TAN Yumin, GUO Dong, BAI Bingxin, et al. Geological hazard risk assessment based on information quantity model in fuling district, Chongqing city, China[J]. Journal of Geo-information Science, 2015,17(12):1554-1562.
许英姿,卢玉南,李东阳,等.基于GIS和信息量模型的广西花岗岩分布区滑坡易发性评价[J].工程地质学报,2016,24(04):693-703. XU Yingzi, LU Yunan, LI Dongyang, et al. GIS and information model based landslide susceptibility assessment in granite area of Guang Xi province[J]. Journal of Engineering Geology, 2016,24(04):693-703.
谈树成,赵娟娟,杨林,等.基于GIS和信息量-快速聚类模型的滑坡易发性研究——以云南省福贡县为例[J].云南大学学报(自然科学版),2018,40(06):1148-1158. TAN Shucheng, ZHAO Juanjuan, YANG Lin, et al. Evaluation of landslide susceptibility based on GIS and the information value & the K-means cluster model-Take Fugong County as an Example[J]. Journal of Yunnan University, 2018,40(06):1148-1158.
阮沈勇,黄润秋.基于GIS的信息量法模型在地质灾害危险性区划中的应用[J].成都理工学院学报,2001,(01):89-92. RUAN Shenyong, HUANG Runqiu. Application of GIS-based information model on assessment of geological hazards risk[J]. Journal of Chen Du University of Technology, 2001,(01):89-92.
张以晨,秦胜伍,翟健健,等.基于信息量的长白山地区泥石流易发性评价[J].水文地质工程地质,2018,45(02):150-158. ZHANG Yichen,QIN Shengwu,ZHAI Jianjian, et al. Susceptibility assessment of debris flow based on GIS and weight information for the Changbai mountain area[J]. Hydrogeology & Engineering Geology, 2018,45(02):150-158.
陈立华,叶江,魏传健,等.基于ArcGIS与信息量法的滑坡易发性评价[J].广西大学学报(自然科学版),2016,41(01):141-148. CHEN Lihua,YE Jiang,WEI Chuanjian, et al. Application of Arc GIS and information method to landslide susceptibility evaluation[J]. Journal of Guangxi University (Nat Sci Ed), 2016,41(01):141-148.
王佳佳,殷坤龙,肖莉丽.基于GIS和信息量的滑坡灾害易发性评价——以三峡库区万州区为例[J].岩石力学与工程学报,2014,33(04):797-808. WANG Jiajia,YIN Kunlong,XIAO Lili. Landslide susceptibility assessment based on GIS and weighted information value:a case study of Wanzhou district,Three Gorges Reservoir[J]. Chinese Journal of Rock Mechanics and Engineering, 2014,33(04):797-808.
杜谦,范文,李凯,等.二元Logistic回归和信息量模型在地质灾害分区中的应用[J].灾害学,2017,32(02):220-226. DU Qian,FAN Wen,LI Kai,et al.Geohazard Susceptibility Assessment by Using Binary Logical Regression and Information Value Model[J].Journal of Catastrophology,2017,32(2):220-226.
孟庆华,孙炜锋,王涛.陕西凤县地质灾害易发性评价研究[J].工程地质学报,2011,19(03):388-396. MENG Qinghua SUN Weifeng WANG Tao.GIS based four zones of geohazard susceptibility Degrees for Feng Xian COUNTY in Qinling Mountains of Shan Xi Province[J]. Journal of Engineering Geology, 2011,19(03):388-396.
郭子正,殷坤龙,黄发明,等.基于滑坡分类和加权频率比模型的滑坡易发性评价[J].岩石力学与工程学报,2019,38(02):287-300. GUO Zizheng,YIN Kunlong,HUANG Faming, et al. Evaluation of landslide susceptibility based on landslide classification and weighted frequency ratio model[J]. Chinese Journal of Rock Mechanics and Engineering, 2011,19(03):388-396.
李苗苗. 植被覆盖度的遥感估算方法研究[D].北京:中国科学院研究生院(遥感应用研究所),2003. LI Miaomiao. The Method of Vegetation Fraction Estimation by Remote Sensing[D]. Beijing:Chinese Academy of Science,2003.
孙艳萍,张苏平,陈文凯,等.汶川地震滑坡危险性评价-以武都区和文县为例[J].地震工程学报,2018,40(05):1084-1091. SUN Yangping, ZHANG Suping, CHEN Wenkai, et al. Risk assessment of landslides caused by Wenchuan Earthquakes:A case study in the Wudu District and Wenxian Country, Gansu Province[J.China Earthquake Engineering Journal, 2018,40(05):1084-1091.
杜悦悦,彭建,赵士权,等.西南山地滑坡灾害生态风险评价——以大理白族自治州为例[J].地理学报,2016,71(09):1544-1561. DU Yueyue, PENG Jian, ZHAO Shiquan, et al.Ecological risk assessment of landslide disasters in mountainous areas of Southwest China:A case study in Dali Bai Autonomous Prefecture[J]. Acta Geographica Sinica, 2016,71(09):1544-1561.
邓辉,何政伟,陈晔,等.信息量模型在山地环境地质灾害危险性评价中的应用——以四川泸定县为例[J].自然灾害学报,2014,23(02):67-76. DENG Hui,HE Zhengwei, CHEN Ye,et al.Application of information quantity model to hazard evaluation of geological disaster in mountainous region environment:a case study of Luding County,Sichuan Province[J]. Journal of Natural Disasters,2014,23(02):67-76.
吴艾祺,宋飞,闵瑶臻,等.岐山县宋家尧村滑坡基本特征与演化机理分析[J].西北地质,2019,52(02):190-197. WU Aiqi, SONG Fei, MIN Yaozhen, et al. Basic Characteristics and Evolution Mechanism of the Songjiayao Village Landslide in Qishan County[J]. Northwestern Geology, 2019,52(02):190-197.
寇丽娜,边疆,张婷婷,等.基于GIS的信息量法在青海民和区域地质灾害易发性评价中的应用[J].西北地质,2017,50(02):244-248. KOU Lina, BIAN Jiang, ZHANG Tingting, et al.The application of GIS-based information method in susceptibility evaluation of regional geological hazards in Mihe County, Qinghai Province[J]. Northwestern Geology,2017,50(02):244-248.
张茂省,薛强,贾俊,等.山区城镇地质灾害调查与风险评价方法及实践[J].西北地质,2019,52(02):125-135. ZHANG Maosheng, XUE Qiang, JIA Jun, et al.Methods and Practices for the Investigation and Risk Assessment of Geo-hazards in Mountainous Towns[J]. Northwestern Geology, 2019,52(02):125-135.
ADITIANA, 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.
WANG Y, FANG Z, HONG H. Comparison of convolutional neural networks for landslide susceptibility mapping in Yanshan County, China[J]. Science of The Total Environment, 2019,666:975-993.
HUANG Y, ZHAO L. Review on landslide susceptibility mapping using support vector machines[J]. Catena, 2018,165:520-529.
AYALEW L, YAMAGISHI H. The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains, Central Japan[J]. Geomorphology, 2005,65(1-2):15-31.
HONG H, XU C, BUI D T. Landslide Susceptibility Assessment at the Xiushui Area (China) Using Frequency Ratio Model[J]. Procedia Earth and Planetary Science, 2015,15:513-517.
KHANH, SHAFIQUE M, KHAN M A et al. Landslide susceptibility assessment using Frequency Ratio, a case study of northern Pakistan[J]. The Egyptian Journal of Remote Sensing and Space Science, 2019,22(1):11-24.
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