湖南张家界市永定区地质灾害发育规律及易发性评价研究

巩书华, 李少青, 王焕银, 王克营, 蔡宁波, 杜江. 2023. 湖南张家界市永定区地质灾害发育规律及易发性评价研究. 中国地质调查, 10(6): 101-110. doi: 10.19388/j.zgdzdc.2023.06.12
引用本文: 巩书华, 李少青, 王焕银, 王克营, 蔡宁波, 杜江. 2023. 湖南张家界市永定区地质灾害发育规律及易发性评价研究. 中国地质调查, 10(6): 101-110. doi: 10.19388/j.zgdzdc.2023.06.12
GONG Shuhua1, 2, LI Shaoqing3, WANG Huanyin3, WANG Keying1, 2. 2023. Research on the development law and susceptibility evaluation of geological disasters in Yongding District of Zhangjiajie City in Hunan Province. Geological Survey of China, 10(6): 101-110. doi: 10.19388/j.zgdzdc.2023.06.12
Citation: GONG Shuhua1, 2, LI Shaoqing3, WANG Huanyin3, WANG Keying1, 2. 2023. Research on the development law and susceptibility evaluation of geological disasters in Yongding District of Zhangjiajie City in Hunan Province. Geological Survey of China, 10(6): 101-110. doi: 10.19388/j.zgdzdc.2023.06.12

湖南张家界市永定区地质灾害发育规律及易发性评价研究

  • 基金项目:

    湖南省自然资源厅“湖南省张家界市永定区1∶10 000地质灾害调查和风险评价(编号: 湘地调[2022]67)”项目资助

详细信息
    作者简介: 巩书华(1988—),男,高级工程师,主要从事水工环地质调查研究工作。 Email: shuhua.gong@qq.com。
  • 中图分类号: P694

Research on the development law and susceptibility evaluation of geological disasters in Yongding District of Zhangjiajie City in Hunan Province

  • 张家界市复杂的地质构造背景造就了独特的地貌景观,同时存在众多地质灾害隐患。通过分析张家界市永定区2014年至2022年详细的地质灾害调查资料,对区内地质灾害发育规律及易发性进行研究。结果表明: 区内地质灾害类型以滑坡为主,地质灾害空间分布以中部断层发育区与东北部页岩地层区最多,时间分布相对集中在5、6、7月雨季; 区内地质灾害与地形地貌、岩土体类型、构造活动密切相关,并受降雨及人类工程活动影响; 在碎屑岩丘陵地貌中灾害点密度最高; 在志留系砂质页岩岩组中地质灾害最易发; 受构造影响明显,断褶构造带处灾害点密集; 灾害高发期与雨季耦合,诱发因素主要是降雨; 不合理地切坡建房、道路建设等工程活动加剧地质灾害的发生。采用易发程度指数法,基于ArcGIS信息统计分析,将全区地质灾害易发程度划分为高易发区、中易发区与低易发区。研究可为永定区国土空间规划、地质灾害防治、旅游路线及重大工程建设规划提供指导。
  • [1]

    王高峰,王爱军,田运涛,等.基于图幅调查的六盘山镇孕灾地质条件分析[J].水土保持研究,2016,23(5):364-369.

    [2]

    Wang G F,Wang A J,Tian Y T,et al.Analysis on disaster-pregnant geological environment of Liupanshan town based on map sheet survey[J].Research of Soil and Water Conservation,2016,23(5):364-369.

    [2]

    Guzzetti F,Carrara A,Cardinali M,et al.Landslide hazard evaluation:A review of current techniques and their application in a multi-scale study,Central Italy[J].Geomorphology,1999,31(1-4):181-216.

    [3]

    Uitto J I,Shaw R.Sustainable Development and Disaster Risk Reduction:Introduction[M].Tokyo:Springer,2016.

    [4]

    徐伟,冉涛,田凯.西南红层地区地质灾害发育规律与成灾模式——以云南彝良县为例[J].中国地质灾害与防治学报,2021,32(6):127-133.

    [6]

    Xu W,Ran T,Tian K.Developing law and disaster modes of geohazards in red bed region of southwestern China:A case study of Yiliang County of Yunnan Province[J].The Chinese Journal of Geological Hazard and Control,2021,32(6):127-133.

    [5]

    张殿发,邹永廖.喀斯特地质灾害的形成条件及其环境背景——以贵州省为例[J].矿物岩石地球化学通报,2002,21(1):39-42.

    [8]

    Zhang D F,Zou Y L.The contributory factors and environmental setting of karst Geohazards:A typical example in Guizhou Province[J].Bulletin of Mineralogy Petrology and Geochemistry,2002,21(1):39-42.

    [6]

    方琼,段中满.湖南省地形地貌与地质灾害分布关系分析[J].中国地质灾害与防治学报,2012,23(2):83-88.

    [10]

    Fang Q,Duan Z M.Distribution analysis of topography and geological hazards in Hunan province[J].The Chinese Journal of Geological Hazard and Control,2012,23(2):83-88.

    [7]

    唐川,马国超.基于地貌单元的小区域地质灾害易发性分区方法研究[J].地理科学,2015,35(1):91-98.

    [12]

    Tang C,Ma G C.Small regional geohazards susceptibility mapping based on geomorphic Unit[J].Scientia Geographica Sinica,2015,35(1):91-98.

    [8]

    Baharvand S,Rahnamarad J,Soori S,et al.Landslide susceptibility zoning in a catchment of Zagros Mountains using fuzzy logic and GIS[J].Environmental Earth Sciences,2020,79(10):204.

    [9]

    Chen W,Ding X,Zhao R X,et al.Application of frequency ratio and weights of evidence models in landslide susceptibility mapping for the Shangzhou district of Shangluo City,China[J].Environmental Earth Sciences,2016,75(1):64.

    [10]

    江金进,赖波,江山,等.珠海市横琴新区地质灾害分布特征及易发性评价[J].地质灾害与环境保护,2022,33(1):30-36.

    [16]

    Jiang J J,Lai B,Jiang S,et al.Distribution characteristics and susceptibility evaluation of geological hazards in Hengqin of Zhuhai city[J].Journal of Geological Hazards and Environment Preservation,2022,33(1):30-36.

    [11]

    刘璐瑶,高惠瑛,李照.基于CF与Logistic回归模型耦合的永嘉县滑坡易发性评价[J].中国海洋大学学报:自然科学版,2021,51(10):121-129.

    [18]

    Liu L Y,Gao H Y,Li Z.Landslide susceptibility assessment based on coupling of CF Model and logistic regression model in Yongjia County[J].Periodical of Ocean University of China:Natural Science Edition,2021,51(10):121-129.

    [12]

    杨康,薛喜成,李识博.信息量融入GA优化SVM模型下的地质灾害易发性评价[J].安全与环境工程,2022,29(3):109-118.

    [20]

    Yang K,Xue X C,Li S B.Geological hazard susceptibility assessment by incorporating information value into GA optimized SVM model[J].Safety and Environmental Engineering,2022,29(3):109-118.

    [13]

    周苏华,付宇航,徐智文,等.基于主客观赋权法的福建省地质灾害易发性评价[J].安全与环境学报,2023,23(9):3204-3214.

    [22]

    Zhou S H,Fu Y H,Xu Z W,et al.Geological disasters susceptibility mapping in Fujian Province based on subjective and objective weighting[J].Journal of Safety and Environment,2023,23(9):3204-3214.

    [14]

    徐昊,朱鹏程,孟明超,等.张家界黄龙洞景区危岩崩塌地质灾害评价及防治措施[J].国土资源导刊,2018,15(1):44-51.

    [24]

    Xu H,Zhu P C,Meng M C,et al.Geological hazard assessment and prevention measures of perilous rock collapse in Huanglong cave scenic area of Zhangjiajie[J].Land & Resources Herald,2018,15(1):44-51.

    [15]

    李晋,覃事胜,刘新惠,等.张家界大峡谷景区危岩体发育规律与防治建议[J].地质灾害与环境保护,2019,30(3):48-52.

    [26]

    Li J,Qin S S,Liu X H,et al.Development law and control suggestion of unstable rocks in Zhangjiajie grand canyon scenic area[J].Journal of Geological Hazards and Environment Preservation,2019,30(3):48-52.

    [16]

    覃事胜,张弛,申旭辉,等.湖南省张家界市永定区1∶5万地质灾害详细调查报告[R].长沙,2016.

    [28]

    Tan S S,Zhang C,Shen X H,et al.Detailed Investigation Report of 1∶50 000 Geological Disasters in Yongding District,Zhangjiajie City,Hunan Province[R].Changsha,2016.

    [17]

    王克营,巩书华,杜江,等.湖南省张家界市永定区地质灾害风险普查报告[R].长沙,2022.

    [30]

    Wang K Y,Gong S H,Du J,et al.Geological Hazard Risk Survey Report of Yongding District,Zhangjiajie City,Hunan Province[R].Changsha,2022.

    [18]

    阳岳龙,周群,林剑.湖南主要地质灾害与地形地貌之关系[J].灾害学,2007,22(3):36-40.

    [32]

    Yang Y L,Zhou Q,Lin J.The relationship between main geological hazards and topography in Hunan[J].Journal of Catastrophology,2007,22(3):36-40.

    [19]

    熊德清,崔笑烽.喜马拉雅山脉地震带主要地质灾害与地形地貌关系——以西藏日喀则地区为例[J].地质通报,2021,40(11):1967-1980.

    [34]

    Xiong D Q,Cui X F.The relationship between main geological hazard and topography in the Himalayan seismic belt:A case study in the Xigaze area,Tibet[J].Geological Bulletin of China,2021,40(11):1967-1980.

    [20]

    金福喜,罗滔,李杰.湘东南某市地形地貌对地质灾害发育规律的控制作用分析[J].中国地质灾害与防治学报,2014,25(2):115-118.

    [36]

    Jin F X,Luo T,Li J.The analysis of the control action of geography of the development rule of geological hazard in a city of Southeastern of Hunan province[J].The Chinese Journal of Geological Hazard and Control,2014,25(2):115-118.

    [21]

    郭果,陈筠,李明惠,等.土质滑坡发育概率与坡度间关系研究[J].工程地质学报,2013,21(4):607-612.

    [38]

    Guo G,Chen J,Li M H,et al.Statistic relationship between slope gradient and landslide probability in soil slopes around reservoir[J].Journal of Engineering Geology,2013,21(4):607-612.

    [22]

    杜国梁. 喜马拉雅东构造结地区滑坡发育特征及危险性评价[D].北京:中国地质科学院,2017.

    [40]

    Du G L.Development Characteristics and Hazard Assessment of Landslide in the Eastern Himalayan Syntaxis Region of Tibetan Plateau[D].Beijing:Chinese Academy of Geological Sciences,2017.

    [23]

    巩书华,朱丽芬.湘西北地质地貌特征对岩溶石漠化影响研究——以张家界市为例[J].中国岩溶,2021,40(3):504-512.

    [42]

    Gong S H,Zhu L F.Influence of geological and geomorphologic features on karst rocky desertification in northwestern Hunan Province:A case study of Zhangjiajie City[J].Carsologica Sinica,2021,40(3):504-512.

    [24]

    姜端午,李大明,梅金华.湘西北地区岩溶旋回及新构造遥感信息特征[J].湖南地质,2001,20(3):225-229.

    [44]

    Jiang D W,Li D M,Mei J H.Karst circle in westnorthern Hunan and its neotectonics remote sensing interpretation information[J].Hunan Geology,2001,20(3):225-229.

    [25]

    陈静静,姚蓉,文强,等.湖南省降雨型地质灾害致灾雨量阈值分析[J].灾害学,2014,29(2):42-47.

    [46]

    Chen J J,Yao R,Wen Q,et al.Hazard rainfall threshold analysis of rainfall-induced geological disasters in Hunan Province[J].Journal of Catastrophology,2014,29(2):42-47.

    [26]

    宫清华,黄光庆,郭敏,等.地质灾害预报预警的研究现状及发展趋势[J].世界地质,2006,25(3):296-302.

    [48]

    Gong Q H,Huang G Q,Guo M,et al.Present status of research and its developmental tendency on prediction and early warning of geologic hazards[J].Global Geology,2006,25(3):296-302.

    [27]

    李明,杜继稳,高维英.陕北黄土高原区地质灾害与降水关系[J].干旱区研究,2009,26(4):599-606.

    [50]

    Li M,Du J W,Gao W Y.Study on the relationship between geological disasters and precipitation in the Loess Plateau in North Shaanxi Province[J].Arid Zone Research,2009,26(4):599-606.

    [28]

    中国地质灾害防治工程行业协会.干T/CAGHP 017-2018 县(市)地质灾害调查与区划规范(试行)[S].武汉:中国地质大学出版社,2018.

    [52]

    China Geological Hazard Prevention Engineering Industry Association.T/CAGHP 017-2018 The Specification of Geological Disaster Investigation and Zonation for County[S].Wuhan:China University of Geoscience Press,2018.

    [29]

    张刘柱,陈雪梅,郑立博,等.易发程度指数法在宣州区地质灾害易发区划分中的应用研究[J].地质灾害与环境保护,2019,30(2):92-96.

    [54]

    Zhang L Z,Chen X M,Zheng L B,et al.Application of susceptibility index method in the division of geological hazard prone areas in Xuanzhou District[J].Journal of Geological Hazards and Environment Preservation,2019,30(2):92-96.

    [30]

    许兆军,肖妮娜,刘志尧,等.基于易发程度指数法的桂阳县地质灾害易发性分区研究[J].长春工程学院学报(自然科学版),2012,13(3):54-59.

    [56]

    Xu Z J,Xiao N N,Liu Z Y,et al.Research on geological disaster-prone area based on susceptibility index method in Guiyang County[J].Journal of Changchun Institute of Technology (Natural Science Edition),2012,13(3):54-59.

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