厚黄土与煤炭采空区地质灾害易发性评价Geological hazard susceptibility assessment in thick loess and gob
谭新平,徐张建,王小秋,卫一华,董鹏伟
TAN Xinping,XU Zhangjian,WANG Xiaoqiu,WEI Yihua,DONG Pengwei
摘要(Abstract):
陕西铜川市为厚黄土分布区,黄土被沟谷切割形成破碎残塬与沟壑,黄土滑坡与崩塌地质灾害极其发育;同时地处渭北煤田带,煤矿采空形成了大量地面开裂与塌陷地质灾害。二者的共同作用加剧了城市地质灾害的发生。通过铜川市幅1∶5万环境地质调查,基于信息量模型建立了影响厚黄土与煤炭采空分布区黄土滑坡、崩塌及采空区变形的评价指标体系。将复杂地区的地质灾害易发性评价指标总体分为地面指标、地下指标和环境因素指标,指标权重分别取0.3、0.3、0.4,经过GIS分析计算,尝试解决了地质灾害易发性评价中致灾因素复杂和不相容的问题。认为在厚黄土煤炭采空区,由于湿陷性黄土的存在,地表变形对开采深厚比参数指标敏感,规范变形特征取值明显偏小。
Distribution area of thick loess in Tongchuan City is cut by valleys,broken gully and gully loess,loess landslide and rock fall hazard develop extremely; also located in Weibei coalfield,coal mine goaf has caused many geological hazards such as ground fracture and collapse.The interaction of the two aggravates the occurrence of urban geo-hazard.Through 1:50 000 environment geological survey in Tongchuan City,based on information model,the evaluation index system of loess landslide,collapse and goaf deformation was established.The index of evaluation of geo-hazard susceptibility in complex area is divided into ground index,underground index and environmental factor index,the weight of index is 0.3,0.3 and 0.4 respectively,after GIS analysis and calculation,we try to solve the complex and incompatible factors of disaster-causing factors in the evaluation of geological hazards.And it is considered that in the thick loess of coal-mined-out area,because of the existence of collapsible loess,the surface deformation is sensitive to the mining depth-thickness ratio,and the norm deformation characteristic value is clearly small.
关键词(KeyWords):
地质灾害;易发性评价;厚黄土;煤炭采空区;信息量模型
geological hazard;susceptibility assessment;thick loess;coal mine goaf;information model
基金项目(Foundation): 陕西省科技统筹创新工程计划项目(2014KTDZ03-01-01);; 关中盆地城市群城市地质调查项目(12120114056901)~~
作者(Author):
谭新平,徐张建,王小秋,卫一华,董鹏伟
TAN Xinping,XU Zhangjian,WANG Xiaoqiu,WEI Yihua,DONG Pengwei
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- 地质灾害
- 易发性评价
- 厚黄土
- 煤炭采空区
- 信息量模型
geological hazard - susceptibility assessment
- thick loess
- coal mine goaf
- information model