甘肃陇南石鸡坝乡幅地质灾害危险性评价
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摘要
依据甘肃陇南白水江流域石鸡坝乡幅地质灾害最新调查编录数据,通过对研究区地质环境背景及地质灾害发育分布特征分析研究,利用Arcgis10.2软件平台全面分析了致灾因子对地质灾害发育分布的影响,具体包括:地形地貌、地质构造、工程地质岩组、斜坡结构类型、河流侵蚀、植被覆盖、降雨、地震和人类工程活动等,采用信息量法进行了崩滑地质灾害易发性、危险性评价区划,采用信息量法和定性评价方法结合的方式实现了泥石流地质灾害易发性、危险性评价区划。研究结果表明:崩滑地质灾害危险性高区域面积14.22 km~2,占3.30%;危险性中等区域面积51.05 km~2,占11.83%;危险性低区域面积95.32 km~2,占22.09%;危险性极低区域面积270.93 km~2,占62.79%。17条泥石流危险性高,59条危险性中等,1条危险性低。评价结果可为区域地质灾害风险评价和防灾减灾提供参考依据。
According to the latest investigation and cataloguing data of geological hazards in Shijiba township of Baishuijiang River Basin in Longnan area,Gansu province,and on the basis of the analysis of the geological environment background and the characteristics of the development and distribution of geological hazards in the study area,the influence of disastercausing factors on the development and distribution of geological hazards was analyzed comprehensively by using Arcgis 10.2 software platform. The disaster-causing factors included such as topography and geomorphy,geological structure,engineering geological rock formation,slope structure type,river erosion,vegetation cover,rainfall,earthquake and human engineering activities. By using information quantity method,the geo-hazard susceptibility and geo-hazard risk were assessed and zoned successfully. The method of combining information quantity method with qualitative evaluation method was used to realize the division of the susceptibility and risk assessment of debris flow geological hazards. The research results show that the area with high risk of landslides covers 14.22 km~2,accounting for 3.30%; the area with medium risk of landslides covers 51.05 km~2,accounting for 11.83%; the area with low risk of landslides covers 95.32 km~2,accounting for 22.09%; the area with little probability of landslides covers 270. 93 km~2,accounting for 62.79% of the total study area. There are 17 high risk debris flows,59 medium risk debris flows and 1 low risk debris flow. The assessment results can provide reference for the geo-hazard risk assessment and geo-hazard prevention and mitigation.
According to the latest investigation and cataloguing data of geological hazards in Shijiba township of Baishuijiang River Basin in Longnan area,Gansu province,and on the basis of the analysis of the geological environment background and the characteristics of the development and distribution of geological hazards in the study area,the influence of disastercausing factors on the development and distribution of geological hazards was analyzed comprehensively by using Arcgis 10.2 software platform. The disaster-causing factors included such as topography and geomorphy,geological structure,engineering geological rock formation,slope structure type,river erosion,vegetation cover,rainfall,earthquake and human engineering activities. By using information quantity method,the geo-hazard susceptibility and geo-hazard risk were assessed and zoned successfully. The method of combining information quantity method with qualitative evaluation method was used to realize the division of the susceptibility and risk assessment of debris flow geological hazards. The research results show that the area with high risk of landslides covers 14.22 km~2,accounting for 3.30%; the area with medium risk of landslides covers 51.05 km~2,accounting for 11.83%; the area with low risk of landslides covers 95.32 km~2,accounting for 22.09%; the area with little probability of landslides covers 270. 93 km~2,accounting for 62.79% of the total study area. There are 17 high risk debris flows,59 medium risk debris flows and 1 low risk debris flow. The assessment results can provide reference for the geo-hazard risk assessment and geo-hazard prevention and mitigation.
引文
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[13]江强强,方堃,章广成.基于新组合赋权法的地质灾害危险性评价[J].自然灾害学报,2015(3):28-36.JIANG Qiangqiang,FANG Kun,ZHANG Guangcheng. Assessment of geohazards risk based on new combined weight method[J].Journal of Natural Disasters,2015,24(03):28-36.
[14]杨乐,陈杰.基于灰色关联法的地质灾害危险性影响因子分析[J].重庆交通大学学报(自然科学版),2017,36(6):80-84+91.YANG Le,CHEN Jie. Impact factors analysis of geological hazard risk based on grey correlation method[J]. Journal of Chongqing Jiaotong University(Natural Science),2017,36(06):80-84+91.
[15]范强,巨能攀,向喜琼,等.证据权法在区域滑坡危险性评价中的应用─以贵州省为例[J].工程地质学报,2014,22(3):474-481.FAN Qiang,JU Nengpan,XIANG Xiqiong,et al. Landslides hazards assessment with weights of evidence-a case study in Guizhou,China[J]. Journal of Engineering Geology,2014,22(3):474-481.
[2]张春山,何淑军,辛鹏,等.陕西省宝鸡市渭滨区地质灾害风险评价[J].地质通报,2009,28(8):1053-1063.ZHANG Chunshan,HE Shujun,XIN Peng,et al. Risk evaluation of geological hazards in weibin district,Baoji City,Shaanxi Province,China[J]. Geological Bulletin of China,2009,28(8):1053-1063.
[3]徐为,李铁锋,胡瑞林,等.基于GIS的哀牢山戛洒镇小流域滑坡易发性评价[J].水文地质工程地质,2011,38(5):110-119.XU Wei,LI Tiefeng,HU Ruilin,et al. GIS-based landslide susceptibility assessment at small watershed in Jiasa Town,Ailao Mountain area[J]. Hydrogeology&Engineering Geology,2011,38(5):110-119.
[4]杨君,唐红梅,罗红.南山风景名胜区地质灾害危险性分区评价[J].重庆交通大学学报(自然科学版),2010,29(1):93-97+137.YANG Jun,TANG Hongmei,LUO Hong. Risk zoning assessment of geological hazard at nanshan scenic spot[J]. Journal of Chongqing Jiaotong University(Natural Science),2010,29(01):93-97+137.
[5]张超,陈艳,张宇飞,等.基于多元线性回归模型的云南昭通地质灾害易发性评价[J].水文地质工程地质,2016,43(3). 159-163.ZHANG Chao,CHEN Yan,ZHANG Yufei,et al. Geohazard susceptibility evaluation in zhaotong of yunnan based on the multivariate linear regression model[J]. Hydrogeology&Engineering Geology,2016,43(3):159-163.
[6]李铁锋,温铭生,丛威青,等.降雨型滑坡危险性区划方法[J].地学前缘,2007,14(6):107-111.LI Tiefeng,WEN Mingsheng,CONG Weiqing,et al. Research on the zonation methods of landslides triggered by rainfall[J]. Earth Science Frontiers,2007,14(6):107-111.
[7]唐亚明,张茂省,李林,等.滑坡易发性危险性风险评价例析[J].水文地质工程地质,2011,38(2):125-129.TANG Yaming,ZHANG Maosheng,LI Lin,et al. Discrimination to the landslide susceptibility,hazard and risk assessment[J].Hydrogeology&Engineering Geology,2011,38(2):125-129.
[8]李媛,曲雪妍,房浩,等.地质灾害综合评价指标体系和评价方法研究[J].水文地质工程地质,2013,40(5):129-132.LI Yuan,QU Xueyan,FANG Hao,et al. A study of comprehensive evaluation index system and methods for geo-hazard[J]. Hydrogeology&Engineering Geology,2013,40(5):129-132.
[9]王磊,张春山,杨为民,et al.基于GIS的甘肃省甘谷县地质灾害危险性评价[J].地质力学学报,2011,17(4):388-401.WANG Lei,ZHANG Chunshan,YANG Weimin,et al. Risk assessment of geohazards by using GIS in Gangu county,Gansu Province[J]. Journal of Geomechanics,2011,17(4):388-401.
[10]刘传正,李铁锋,程凌鹏,等.区域地质灾害评价预警的递进分析理论与方法[J].水文地质工程地质,2004,31(4):1-8.LIU Chuanzheng,LI Tiefeng,CHENG Lingpeng,et al. A method by to analyse four parameters for assessment and early warning on the regional geo-hazards[J]. Hydrogeology&Engineering Geology,2004,4(2):1-8.
[11]石菊松,张永双,董诚,等.基于GIS技术的巴东新城区滑坡灾害危险性区划[J].地球学报,2005,26(3):275-282.SHI Jusong,ZHANG Yongshuang,DONG Cheng,et al. GIS-based landslide hazard zonation of the new badong county site[J]. Acta Geoscientia Sinica,2005,26(3):275-282.
[12]王涛,吴树仁,石菊松,等.地震滑坡危险性概念和基于力学模型的评估方法探讨[J].工程地质学报,2015(1):93-104.WANG Tao,WU Shuren,SHI Jusong,et al. Concepts and mechanical assessment method for seismic landslide hazard:a review[J]. Journal of Engineering Geology,2015,23(1):93-104.
[13]江强强,方堃,章广成.基于新组合赋权法的地质灾害危险性评价[J].自然灾害学报,2015(3):28-36.JIANG Qiangqiang,FANG Kun,ZHANG Guangcheng. Assessment of geohazards risk based on new combined weight method[J].Journal of Natural Disasters,2015,24(03):28-36.
[14]杨乐,陈杰.基于灰色关联法的地质灾害危险性影响因子分析[J].重庆交通大学学报(自然科学版),2017,36(6):80-84+91.YANG Le,CHEN Jie. Impact factors analysis of geological hazard risk based on grey correlation method[J]. Journal of Chongqing Jiaotong University(Natural Science),2017,36(06):80-84+91.
[15]范强,巨能攀,向喜琼,等.证据权法在区域滑坡危险性评价中的应用─以贵州省为例[J].工程地质学报,2014,22(3):474-481.FAN Qiang,JU Nengpan,XIANG Xiqiong,et al. Landslides hazards assessment with weights of evidence-a case study in Guizhou,China[J]. Journal of Engineering Geology,2014,22(3):474-481.
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