随机森林模型预测岩溶区酸性煤矿井水锰污染Prediction of Karst Region Acidic Coalmine Water Manganese Pollution Based on Random Forest
李冲
摘要(Abstract):
酸性煤矿井水严重威胁地下水的水质。如何更有效对受影响区域的地下水源进行动态监测是当前的一个关键问题。采用随机森林中的回归模型,利用自变量(采空区水位、岩溶水位、p H值、泉水流量、电导率)和因变量(污染离子浓度)的相关性,建立回归模型;使用测试数据进行误差分析,结果证明模型准度较高,所得预测值具有参考价值;得出各自变量对因变量影响的重要程度,分析结果与实际情况相符合。试验表明,随机森林回归模型在酸性煤矿井水污染预测方面具有适用性,可作为辅助手段监测水质污染情况,对今后工作有一定的指导意义和经济价值。
关键词(KeyWords): 酸性煤矿井水;地下水污染;水质监测;随机森林
基金项目(Foundation): 凯里市鱼洞河流域环境综合治理工程可行性研究(凯发2018(0366号))
作者(Author): 李冲
参考文献(References):
- [1]孙亚军,陈歌,徐智敏,等.我国煤矿区水环境现状及矿井水处理利用研究进展[J].煤炭学报,2020,45(1):304-316.Sun Yajun,Chen Ge,Xu Zhimin,etc.Current situation of water environment in coal mine areas and research progress of mine water treatment and utilization[J].Journal of Coal Science,2020,45 (1):304-316.
- [2]胡立峰.煤矿酸性矿井水成因及其处理方法[J].煤田地质与勘探,2005,33(Z):64-66.Hu Lifeng.Origin of acid mine drainage and its treatment[J].Coalfield Geology and Exploration,2005,33(2):64-66.
- [3]贾锐鱼,李楠,所芳,等.我国煤矿区污水处理技术研究现状与发展[J].水处理技术,2014,40(9):8-12.Jia Ruiyu,Li Nan,Suo Fang,etc.Research status and Development of sewage Treatment technology in Coal mine areas in China[J].Water Treatment Technology,2014,40 (9):8-12
- [4]刘勇,孙亚军,王猛.矿井水水质特征及排放污染[J].洁净煤技术,2007(3):83-86.Liu Yong,Sun Yajun,Wang Meng.Characteristics of mine water quality and discharge pollution[J].Clean Coal Technology,2007(3):83-86.
- [5]章丽萍,马项阳,吴胜念,等.基于《水处理工程》的酸性高铁矿井水综合实验设计[J].中国矿业,2019,28(6):133-138.Zhang Liping,Ma Xiangyang,Wu Shengnian,etc.Comprehensive experimental design of well water in high acid iron mine based on Water Treatment Engineering[J].China Mining,2019,28(6):133-138.
- [6]胡文容,高廷耀.酸性矿井水的处理方法和利用途径[J].煤矿环境保护,1994,8(1):17-19,16.Hu Wenrong,Gao Tingyao.Treatment and utilization of acid mine drainage[J].Coal Mine Environmental Protection,1994,8 (1):17-19,16.
- [7]高建国,王大州.贵州煤矿区矿井水水质特点及处理工艺探讨[J].中国煤炭地质,2014,26(5):49-52,67.Gao Jianguo,Wang Dazhou.Discussion on water quality characteristics and Treatment technology of mine water in Guizhou Coal Mine area[J].Coal Geology of China,2014,26(5):49-52,67.
- [8]段江飞,赵建鹏,任虎俊,等.贵州凯里市鱼洞河流域水质污染因子及其变化分析[J].中国煤炭地质,2018,30(6):96-100,118.Duan Jiangfei,Zhao Jianpeng,Ren Hujun etc.Analysis of water pollution Factors and their Changes in Yudong River Basin in Kaili City,Guizhou[J].Coal Geology of China,2018,30(6):96-100,118.
- [9]梁浩乾,冯启言,周来,等.鱼洞河流域废弃煤矿矿井水对水环境的影响[J].水土保持研究,2019,26(6):382-388.Liang Haoqian,Feng Qiyan,Zhou Lai,etc.Influence of mine drainage on water environment of abandoned coal mines in Yudong River Basin[J].Soil and Water Conservation Research,2019,26(6):382-388.
- [10]梁浩乾.鱼洞河流域酸性矿井水被动处理实验研究[D].江苏徐州:中国矿业大学,2019.Liang Haoqian.Experimental Study on passive treatment of acid mine drainage in Yudong River Basin[D].Xuzhou:China University of Mining and Technology,2019.
- [11]李清光,吴攀,顾尚义,等.黔西某煤层气开发区块产出水有毒有害元素污染特征及其环境效应[J].地球科学,2019,44 (9):2862-2873.Li Qingguang,Wu Pan,Gu Shangyi,etc.Pollution characteristics and Environmental effects of toxic and harmful elements in water produced from a coalbed methane development block in the west of Guizhou province[J].Earth Sciences,2019,44(9):2862-2873.
- [12]付善明,周永章,张澄博,等.河流沿岸环境对粤北大宝山矿废水锰污染的环境响应[J].中山大学学报(自然科学版),2007,46(2):92-97.Fu Shanming,Zhou Yongzhang,Zhang Chengbo,etc.Environmental response of riverine environment to manganese pollution from the Dabaoshan Mine waste water in northern Guangdong[J].Acta Scientiarum Naturalium Universitatis Sunyatseni,2007,46(2):92-97.
- [13]罗维,杨秀丽,宁黎元,等.贵州主要碳酸盐岩含水层污染现状与特征[J].地球科学,2019,44(9):2851-2861.Luo Wei,Yang Xiuli,Ning Liyuan,etc.Current situation and characteristics of major carbonate aquifer pollution in Guizhou[J].Earth
- [14]陈远其,陈章,李志贤,等.锰污染土壤修复研究现状与展望[J].生态环境学报,2017,26(8):1451-1456.Chen Yuanqi,Chen Zhang,Li Zhixian,et al.Research status and Prospect of Manganese contaminated soil remediation[J].Journal of Ecological Environment,2017,26(8):1451-1456.
- [15]张德彬,刘国东,钟瑞.孝新合气田区地下水铁锰污染分析及环境健康风险评价[J].灌溉排水学报,2018(1):70-77.Zhang Debin,Liu Guodong,Zhong Rui.Analysis of groundwater Fe and Mn pollution and environmental health risk Assessment in Xiaoxin Gas Field[J].Journal of Irrigation and Drainage,2018(1):70-77.
- [16]张兆吉,费宇红,张凤娥,等.区域地下水污染调查评价技术方法[M].北京:科学出版社,2015.Zhang Zhaoji,Fei Yuhong,Zhang Fenge,etc.Technical Method for investigation and Evaluation of regional groundwater pollution[M].Beijing:Science press,2015.
- [17]陈亚洲.闭坑煤矿对喀斯特地区泉水污染研究---以龙洞泉污染为例[D].江苏徐州:中国矿业大学,2019.Chen Yazhou.A Study on spring Water Pollution in Karst Areas by Mine closure-A Case study of Longdong Spring Pollution[D].Xuzhou:China University of Mining and Technology,2019.
- [18]李学先.酸性矿山废水影响下喀斯特流域水文地球化学特征及演化规律研究[D].贵阳:贵州大学,2018.Li Xuexian.Study on hydrogeochemical characteristics and Evolution law of karst Watershed under the influence of acid mine wastewater[D].Guiyang:Guizhou University,2018.
- [19]张玲.煤矿开采对喀斯特地区地表水环境质量的影响与评价[D].贵阳:贵州大学,2008.Zhang ling.The influence of coal mining on the environmental quality of surface water in karst area[D].Guiyang:Guizhou University,2008.
- [20]严亮.喀斯特地区煤矿酸性废水中有毒污染物生物毒性的研究[D].贵阳:贵州大学,2009.Yan Liang.Study on the biotoxicity of toxic pollutants in acidic wastewater from coal mines in Karst areas[D].Guiyang:Guizhou University,2009.
- [21]Biau,Gérard.Analysis of a random forests model.[J].Journal of Machine Learning Research,2012(13):1063-1095.
- [22]高强山.基于随机回归森林的储层预测方法研究[D].山东青岛:中国石油大学(华东),2017.Gao Qiangshan.Research on reservoir prediction Method based on stochastic regression forest[D].Qingdao:China University of Petroleum(East China),2017.
- [23]方匡南,吴见彬,朱建平,等.随机森林方法研究综述[J].统计与信息论坛,2011(3):32-38.Fang Quannan,Wu Jianbin,Zhu Jianping,etc.A review of random forest methods[J].Statistics and Information Forum,2011(3):32-38.
- [24]李曦滨.煤矿酸性废水污染综合治理技术与展望---以贵州省鱼洞河流域综合治理技术应用研究为例[J].中国煤炭地质,2018,30(7):48-53,93.Li Xibin.Comprehensive Treatment technology and Prospect of Acid Wastewater Pollution in Coal Mine-A Case study of Application of comprehensive treatment Technology in Yudong River Basin,Guizhou Province[J].Coal Geology of China,2018,30(7):48-53,93.
- [25]李文波.凯里市鱼洞河流域煤矿酸性废水及煤矸石治理方案研究[J].黑龙江水利科技,2019,47(9):54-56.Li Wenbo.Study on treatment Scheme of acidic wastewater and coal gangue in Yudong River Basin of Kaili City[J].Heilongjiang Hydraulic Science and Technology,2019,47(9):54-56.