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大红山矿区开采沉陷预计的MapGIS方法
引用本文:刘德元,孙新华,何盛东,张卓然. 大红山矿区开采沉陷预计的MapGIS方法[J]. 金属矿山, 2016, 45(9): 157-160. DOI: 10.3969/j.issn.1001-1250.2016.09.031
作者姓名:刘德元  孙新华  何盛东  张卓然
作者单位:1.河南省煤田地质局资源环境调查中心,河南 郑州 450003;2.郑州航空航天工业管理学院土木建筑工程学院,河南 郑州 450046;3.河南省煤田地质局物探测量队,河南 郑州 540009
摘    要:为有效预计矿山开采过程中地表产生的沉陷变形,以大红山铁矿为例,在现场工程地质勘查和变形监测数据收集的基础上,首先根据矿区钻孔数据(钻孔深度、孔口高程、地下水位深度、地层岩性、地层结构及厚度以及地层时代)建立了基础地质数据库;其次分别对地形坡度、地质构造、岩性条件、植被覆盖率、降雨等级、开采面积及深度等开采沉陷影响因素进行了权重赋值;然后根据水平、垂直、曲率变形值,将该矿区地表建筑物受损等级划分为4级,并对各危险等级的处理方法进行了分析;最后基于矿区基础地质数据,采用MapGIS软件构建了矿区开采沉陷预计模型,并对矿区开采沉陷危险性区域进行了划分。研究结果表明:①开采面积及深度的权重值为0.45,可见矿山开采沉陷受该因素的影响最大;②2#矿体地表最大沉降值为431.1 mm,最大水平移动值为125 mm,最大倾斜值为4.95 mm,预计结果与实测值基本吻合;③2#矿体对应的地表沉陷危险等级为Ⅳ级,区内建筑物可能发生结构损坏,需及时采取防范措施。

关 键 词:开采沉陷  MapGIS  基础地质数据库  预计模型  

MapGIS Method of Mining Subsidence Prediction of Dahongshan Mining Area
Liu Deyuan,Sun Xinhua,He Shengdong,Zhang Zhuoran. MapGIS Method of Mining Subsidence Prediction of Dahongshan Mining Area[J]. Metal Mine, 2016, 45(9): 157-160. DOI: 10.3969/j.issn.1001-1250.2016.09.031
Authors:Liu Deyuan  Sun Xinhua  He Shengdong  Zhang Zhuoran
Affiliation:1.Research Center of Resources Environment,Coal Geological Bureau of Henan Province,Zhengzhou 450003,China;2.School of Civil Engineering,Zhengzhou University of Aeronautics,Zhengzhou 450046,China;3.Geophysical Prospecting and Surveying Team,Coal Geological Bureau of Henan Province,Zhengzhou 450009,China
Abstract:In order to prediction the surface subsidence and deformation information caused by mining,taking the Da-hongshan iron mine as the research example,based on site engineering geological exploration and collection of the deformation monitoring data,firstly,according to the drilling data in mining area ( drilling depth,drilling hole height,depth of ground water level,stratum lithology,stratum structure and thickness and stratum age) ,the basic geological database is established;then,the mining subsidence influence factors are analyzed from the aspects of terrain slope,geological structure,lithology conditions,veg-etation coverage,mining area and depth,they are assigned weighted values respectively;thirdly,the damaged level of the sur-face buildings in the mining area is divided into four levels based on the horizontal,vertical and curvature deformation values in the mining area;finally,according to the basic geological data,the mining subsidence prediction model is established by adop-ting MapGIS software,the dangerous regions of mining subsidence are divided in the mining area. The research results show that:①the weighted value of mining area and depth is 0. 45,it is indicated that mining area and depth is the most important in-fluence factors of the mining area;②the maximum surface subsidence value of 2# ore-body is 431. 1 mm,the maximum horizon-tal movement value of 2# ore-body is 125 mm,the maximum tilt value of 2# ore-body is 4. 95 mm,the prediction results are con-sistent with the actual measured data in the mining area;③the surface subsidence dangerous level of the 2 # ore-body isⅣ,the building structure may be damaged in the region,therefore,it is necessary to take preventive measures timely.
Keywords:Mining subsidence  MapGIS  Basic geological database  Prediction model
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