昭通市毛坪铅锌矿矿山地质环境变异研究
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摘要
毛坪铅锌矿区山高坡陡,松散物源丰富,暴雨集中,民采严重,现状条件下崩塌、滑坡、泥石流、地面沉陷、水土流失和污染等地质环境问题较严重。随着矿山开发强度的加大,采矿废石、弃渣积存量增加,采选矿活动对地质环境的扰动增强,将使矿山地质环境发生严重变异。论文以认识毛坪铅锌矿矿山地质环境变异规律为基点,在对矿山地质环境做了详细调查的基础上,分析矿山地质环境影响的内外因素,查明了该区现状存在的变异类型及分布、演变规律,选用模糊综合评判法对矿山地质环境质量作出现状评价,并以现状评价为基础,变异规律为指导,应用可拓聚类预测法对矿山地质环境质量作出预测评价,为矿山地质环境保护和恢复治理提供科学依据。
     通过本项研究,取得如下成果及认识:
     1.现状条件下,毛坪铅锌矿山地质环境问题具有类型齐全,破坏面广,采空区密布、采空塌陷地质灾害隐患突出、水资源严重破坏以及损失严重、危害极大5个特点。
     2.矿山存在13种地质环境变异类型,即:滑坡、崩塌、泥石流,地表移动、地面塌陷、地面沉降与地裂缝,水土流失、土地占用与破坏,泉水干枯、地下水位下降,水污染和土壤污染。
     3.矿山地质环境变异具有人为性、群发性、衍生性、区域性和影响多面性的特点;其环境效应主要表现在:地面基础设施的破坏,耕地的破坏和矿区水土资源的影响。
     4.根据研究区地质背景条件、矿业活动影响和主要存在的地质环境问题,以地质背景、地质灾害、水土环境破坏、矿产开发和水文植被5大要素共25个指标建立了矿区地质环境质量综合评价指标体系。
     5.采用多层次模糊综合评判模型对矿山地质环境质量作出现状评价,结果表明,研究区地质环境质量可分为好、较好、较差和差四个等级,且差区分布于整合前矿山密集区。
     6.应用可拓聚类预测方法评价矿山开采后5年的地质环境质量,结果表明,矿山开采后,地质环境质量可分为好、较好、较差和差四个等级,且差区分布于整合前矿山密集区和未来主采区上方及边部,系由现状地质环境质量较差区和差区变异而成。
Geological problems are more serious under the current conditions, such as collapses, landslide, debris flow, ground subsidence, water-soil erosion, etc. in Lead-Zinc district in Maoping, just as high mountains and steep slopes, rich loose material source, concentrated heavy rain and serious private mining. The mine geological environment will vary badly with increasing development intensity, just because a large number of mining waste rock and debris is increasing and geological environment is disturbed strongly by mining and mineral processing activities. This paper, taking the recognition of variation regular pattern of mine geological environment of Lead-Zinc district in Maoping as a basispoint, internal and external affecting factors of the mine geological environment was analyzed, and the type, regularities of distribution and evolution of variation existing at current situation are ascertained, based on the mine geological environment investigated detailedly. Quality assessment for status of the mine geological environment is completed using Fuzzy Comprehensive Evalution Method, and forecast quality of the mine geological environment is assessed using Extension Clustering Predicion Method, as the basis for the results of the evaluation for status and variation patterns for guidance, to provide a scientific basis for management of peotection and restoration for the mining geology environmention.
     Through this study, the results and understanding following are achicved:
     1. Mine geological environment has five characteristics, such as complete type, wide damage area, densely goaf and prominent mine geological disaster, and severe water damage and severe losses and great harm.
     2. There are 13 kinds variation of geological environment in study area, namely: landslide, collapses, debris flow, ground movement, ground subsidence, ground crack, water-soil erosion, land occupation and destruction, spring dried up, ground water level descend, water pollution and soil contamination.
     3. Variation of the mine geological environment has features with artificial, mass, derivatives, regional and influence a wide range. The environment effect mainly displays in three aspects:damage to the infrastructure, the destruction of arable land and impact of mine water and soil.
     4. Mining geological environment quality evaluation system is established, with five major categories of 25 indicators:the specific geological setting, geological hazards, water and soil environment destruction, mining and hydro-vegetation, based on the geological background conditions, affect of mining activities, and mainly geological environment problems.
     5. Quality assessment for status of the mine geological environment is completed using Multi-level fuzzy comprehensive evalution model. The results show that:geological environment of the study area is divided into four levels:better, good, relatively poor, poor, and the poor area located in the concentrated area of mines before integrated.
     6. The quality of geological environment after five years mined is assessed using Extension Clustering Prediction Model. The results show that:the geological environment can be divided into four leves:better, good, relatively poor and poor, and the poor areas located in the concentrated area of mines before integrated, and the main mining in future and its side, varing from the area of relatively poor and poor of the status.
引文
[1]毛新虎.矿山地质环境变异系统分析研究——以太原西山矿区为例[D].长安大学,2007:2-13.
    [2]李智毅,杨裕云.工程地质概论[M].武汉:中国地质大学出版社,2008:118-129.
    [3]何万龙.山区开采沉陷与采动损害[M].北京:中国科学技术出版社,2003,69-80.
    [4]沈航.可拓聚类预测方法在烟草销售量预测中的应用研究[D].昆明理工大学,2005:1
    [5]腾冲.金属矿山地质灾害评估系统及综合预测模型研究[D].中南大学,2007:66-94.
    [6]李春意,崔希民,鄂增长,等.矿山开采沉陷对土地的影响[J].矿业安全与环保,2009,36(4):65-68.
    [7]尹春荣.基于GIS的滑坡地质灾害危险性分区与预测[D].北京工业大学,2008:39~42.
    [8]刘勇健,张丽娟,杨雪强.可拓聚类预测方法在地质灾害危险性评价中的应用[J].地质灾害与环境保护,2009,20(3):108-113.
    [9]李相然.我国地质环境变异的态势与保护对策[J].生态与自然保护.2000(4):28-30.
    [10]张进德,马军.矿山环境调查评价与综合研究[J].西北地质,2003,36(增刊):168-171.
    [11]郑国明,梁合诚,龙翔,等.浅析矿山地质环境综合评价[J].安全与环境工程,2009,16(5):42-44.
    [12]徐友宁,何芳,陈社斌等.矿山环境地质问题特点及类型划分[J].西北地质.2003,(增刊):19~25.
    [13]刘玥.凤县铅锌矿区地质环境质量评价研究[D].西安科技大学,2009:1-2.
    [14]谢全敏,夏元友.岩体边坡稳定性的可拓聚类预测方法研究[J].岩石力学与工程学报,2003,22(3):438~441.
    [15]蔡文.物元模型及其应用[M].北京:科学文献技术出版社,1994.
    [16]刘勇健.饱和砂土地震液化判别的可拓聚类预测方法[J].岩十力学,2009,3(7):1939-1943.
    [17]DAVID K W, NG, CAI W.Treating Non-Compatible Problem from Matter Element Analysis to Extenics[J].ACM SI-GICE Bulletin,1997,22(3):1-9.
    [18]张卫东,叶晓赋,张粱,等.地质环境经济学[M].北京:地质出版社,2008.
    [19]殷跃平.全球地质学复兴:我们正在进入“人类纪”——第32届国际地质大会环境地质述[J].地质通报,2005124(2):99-103.
    [20]安德兽·古迪著[英].人类影响在环境变化中的作用[M].北京:中国环境科学出版社,1989:104-179.
    [21]黄润秋.环境地质现状:问题及对策(代序)[J].成都理工学院学报.1997.24(增刊):1-8.
    [22]王恩敬,周平根.环境地质学的现状及发展方向展望[J].工程地质学报.1995.3(4):12-18.
    [23]刘传正.环境工程地质导论[M].北京:地质出版社.1995.
    [24]刘起霞,李清波,邹剑锋.环境工程地质[M].郑州:黄河水利出版社.2001.
    [25]张永渡.水工环研究的现状及趋势进展[M].北京:地质出版社,2001.
    [26]刘广润.关于环境地质学的一些基本同题探讨[J].工程地质学报,2003,11(4):340-343.
    [27]潘懋.李铁峰.环境地质学[M].北京:高等教育出版社,2003:3.
    [28]United Nations Environment Protection Agency. Assessment of envionmetal impact of the mineral mining industry[M]. Virginia:National Technical Information Service,1979.
    [29]徐友宁.矿山地质环境调查研究现状及展望[J].地质通报,2008,27(8):1236-1237.
    [30]邹知华,加强矿山环境保护促进矿业持续发展,中国矿业,1994,2
    [31]李大章等,我国尾矿利用现状及21世纪展望.矿山环保,1997,6
    [32]毛同夏.21世纪初期中国地质环境态势与可持续发展[J].水文地质工程地质.1999,(6):6-9.
    [33]赵卫强,孟晴.国内外矿山开采沉陷研究的历史及发展趋势[J].北京工业职业技术学院学报,2010,9(1):12~15.
    [34]孟晖,胡东涛.我国主要人类工程活动引起的滑坡、崩塌和泥石流灾害[J].工程地质学报.1996。4(4):71~77.
    [35]王海宁等,矿山固体决封后的综合利用途径[J],矿山环保,1996,4.
    [36]潘懋,李铁峰.灾害地质学[M].北京:北京大学出版社,2002.
    [37]Carrara, A, etal. GIS technique and statistical model in evaluating landslide hazard. Earth Surface Processes and Land forms,1991,16,427-445.
    [38]王景明.地裂缝及其灾害的理论与应用[M].西安:陕西科学技术出版社.2000,8.
    [39]唐名富.广西大新铅锌矿矿区地面沉陷控制因素及其数值模拟研究[D].桂林理工大学,2009,20~31.
    [40]宋振骐,卢国志,崔洪明,等.矿区开采地表沉陷的模型研究[J].西北煤炭,2005,3(1):7-10.
    [41]唐春安,黄明利.采动诱发顶板岩层失稳过程的数值模拟方法[J].煤矿开采,1998,(1):18-20.
    [42]郭文兵,邓喀中,邹友峰.岩层移动角选取的神经网络方法研究[J].中国安全科学学报,2003,13(9):69~73.
    [43]王喜武.岩移计算中主要影响半径确定及煤柱留设的问题[J].煤炭工程,2004,(8):10.
    [44]曾庆田,王李管,李德,等.云南某铜矿资源及开采环境评价可视化建模技术研究[J].矿 冶工程,2007,27(3):15-19.
    [45]张向东.岩层移动与地表沉陷理论的分类[J].阜新矿业学院学报.1997,7.
    [46]Brauner, Subsidenee due to underground mining, Bureau of Mines, USA,1973.
    [47]麻风海.岩层移动及动力学过程的理论与实践[m].北京:煤炭工业出版社.1997.
    [48]麻风海.岩层移动的时空过程(东北大学博十学位论文)[D].1996.
    [49]康建荣,何万龙,胡海峰著.山区采动地表变形及坡体稳定性分析[M].北京:中国科学技术出版社.2002.
    [50]胡友健,吴北平,戴华阳等.山区地下开采影响下地表移动规律[J].焦作工学院学报.1999,18(4).
    [51]潘宏宇.采动滑坡机理与控制开采方法研究[D].两安科技大学,2005.
    [52]Hiscock K.M.etal. Groundwater vuinerability assessment two case studies using GIS methodology.Quarterly Journal of Engineering Geography,1995,28,179-194.
    [53]Beath E. Effects of heavy metals in soils on microbial proeesses and population (a reveiew). Water Air Soil and Population,1989,47:335-379.
    [54]勒建明,吴侃,王卷乐.基于GIS的矿山开采沉陷环境影响评价探讨[J].矿山测量,2001,(2):14~16
    [55]徐友宁,何芳,陈社斌等.矿山环境地质问题特点及类型划分[J].西北地质.2003,(增刊):19-25.
    [56]沈勇.矿区地质环境评价探讨[J].科技情报开发与经济.2005(16):288~289.
    [57]张进德,马军.矿山环境调查评价与综合研究[J].西北地质,2003,36(增刊):168-171.
    [58]况顺达,杨胜元.贵州省矿山地质环境遥感调查评价[J].贵州地质,2006,23(4):296~301.
    [59]周爱国,蔡鹤生.地质环境质量评价理论与应用[M].北京:中国地质大学出版社,1998.
    [60]邵林,丁访强.贵州省矿山环境地质问题及发展趋势分析[J].2011,22(2):28-31
    [61]赵弘颖.矿区地质环境评价探讨[D].山西科技,2003,(5):38-39.
    [62]魏迎春,许友宁.矿山地质环境量化评价模型研究[D].华南地质与矿产,2004,(4):47-50.
    [63]毛新虎.矿山地质环境变异的模糊综合评价[J].西南民族大学学报·自然科学版,2009,35(1):160~164.
    [64]王羽,冯五一.矿山环境地质与地质灾害评价与防治研究[J].矿物学报,2009:408-409.
    [65]程方平,陈坤,张祥春.矿山开采对生态环境的影响评价[J].安全与环境学报,2011,11(1):113-117.
    [66]陈学军,宾秀玲.矿山开发对环境质量的影响[J].桂林工学院学报,1996,16(1):83-86.
    [67]毛同夏,石宏仁,张丽君.区域地质环境的定量评价和预测[J].地学前缘(中国地质大学, 北京),1996,3(1-2):141~145.
    [68]Cendrero A, etal. Geo-environmental units as a basis for the assessment, regulation and mangement of the Earth's surface. In:Cendrero A, etal. ed. Planning the Use of the Earth's Surface. Berling:Springer-Ver-lag,1992.
    [69]张业成等.中国地质灾害系统层次分析与综合灾度计算[J].中国地质科学院院报.1993年,27-28.
    [70]张进德,张德强,田磊.全国矿山地质环境调查与综合评估技术方法探讨[J].地质通报,2007,26(2);136~140.
    [71]初娜,J‘继新.有色金属矿山地质环境质量单因素评价浅析[J].建筑与发展,202~204.
    [72]张梁,张业成,罗元华,等.地质灾害灾情评估理论与实践[M].北京:地质出版社.1998:12.
    [73]张梁,张建军.地质灾害风险区划理论与方法[J].地质灾害与环境保护,2000.11(4):323-328.
    [74]Arora M.K.,GIS-based landslide Hazard Zonation in the Bhagirathi (Ganga) Valley, Himalayas, International Journal of Remote Sensing,2002,23(2)
    [75]J.Wasowski. Understanding rainfall—landslide relationships in man-modified environments: a case-history from Caramanico Terme, Italy. Environmental Geology 35(2-3)August 1998.
    [76]Legg.C.A Application of remote sensing to environment aspects of surface operations in the United Kingdom.Remote sensing:an operational technology for the mining and petroleum industries.Conference, JMM, London,1990:159-164.
    [77]Christian Fischer, Wolfgang Busch. Monitoring of Environmental changes caused by hard coal mining, Remoteing, GIS Application and Geology Proceeding of SPIE, 2002 vol:4545
    [78]刘玲,吕惠进,成晋松.山西省阳城县矿山地质环境评价——以皇城联营煤矿为例[J].地质灾害与环境保护,2011,22(2):23~26.
    [79]武强.我国矿山环境地质问题类型划分研究[J].水文地质工程地质,2003(5):107-111.
    [80]刘洪生.杨树岭矿区煤炭开采对周边地质环境的影响及其对策研究[J].华北科技学院学报,2008,5(4):34-36.
    [81]刘丽,王士革.云南昭通滑坡泥石流危险度模糊综合评判[J].山地研究,1995,13(4):261-266.
    [82]金太平.浙江省磐安县地质灾害分布规律与防治研究[J].西部探矿工程,2006(增刊):533~536.
    [83]李志强,管频,张小荣.甘肃省公路地质灾害综合发育强度指数计算方法[J].兰州交通大学学报(自然科学版),2006,25(4):39-42.
    [84]黄志刚,陈向阳,刘爱鸣.基于ArcGis的福建省降雨型地质灾害易发性评价模型[J].福建地质,增刊1,72-76.
    [85]姚柏华,李毅.模糊综合评价法在矿山地质灾害分析中的应用[J].山西筑,2008,34(8):114-115.
    [86]余传涛,刘鸿福,吕义清,等.娄烦县地质灾害研究[J].中国水土保持,2010,(7):55-57.
    [87]刘洪,张宏斌.江苏省矿山地质环境质量的模糊评价[J].中国地质灾害与防治学报,2007,18(4):82~87.
    [88]唐春.大关县地质灾害风险评价与防治对策研究[D].昆明理工大学,2007.
    [89]Mejin-Navarron, M.etal.Natural hazard and risk assessment using Decision Supporting Systems.Application:Glenwood Spring, Colorado[J]. Environmental & Engineering Geo-science.1996,2(3),299-324.
    [90]蒙美芳.矿业城市环境灾害演化规律与评价预警研究[D].辽宁工程技术大学,2006.
    [91]杨明.可持续发展的矿业开发模式研究[D].中南大学,2001,85~105.
    [92]周爱仙.煤矿区生态环境现状评价及预警研究—以南屯煤矿区为例[D].山东:山东师范大学,2006.
    [93]殷跃平,李媛.区域地质灾害趋势预测理论与方法[J].工程地质学报,1996,4(4).75~79.
    [94]陈丽霞,殷坤龙,张桂荣.浙江省磐安县滑坡灾害空问预测[J].地球与环境,2005,33(增刊):359~362.
    [95]许冲,戴福初,姚鑫,等.基于GIS与确定性系数分析方法的坟川地震滑坡易发性评[J].工程地质学报,2010,18(1):15~25.
    [96]兰恒星,伍法权,王思敬.基于GIS的滑坡CF多元回归模型及其应用[J].山地学报,2002,20(6):732~737.
    [97]殷跃平,李援.区域地质灾害趋势预测理论与方法[J].工程地质学报,1996,4(4):75~79.
    [98]中国地质环境监测院.全国矿山地质环境调查技术要求实施细则(修改稿)[S].北京,2004.
    [99]廖国礼、周音达、吴超.尾矿区重金属污染浓度预测模型及其应用[J].中南大学学报(自然科学版),2004,35(6):1009~1012.
    [100]崔龙鹏,白建峰,史永红,等.采矿活动对煤矿区土壤中重金属污染研究[J].土壤学报,2004,41(6):896~902.

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