摘要
为实现德惠市浅层地下水的污染源识别及其空间分布特征研究,收集德惠市2014年43组水质资料,进行水化学特征统计分析,在此基础上采用因子分析法进行多元统计分析,提取5个公因子(F1—F5)分别为矿化度、有机物和硝酸盐氮、氨氮、铁锰、氯化物作为浅层地下水水质的主控因子,进一步分析其污染物来源,并根据因子得分利用ArcGIS差值工具绘图分析各污染源的污染程度及空间分布特征。结果表明:5个公因子(F1—F5)的方差贡献率分别为19. 947%、14. 082%、13. 661%、12. 630%和12. 144%。其中,有机物和硝酸盐氮、氨氮(F2、F3)是研究区内的主要污染物,受控于人为作用;矿化度污染则受控于迁移-富集作用;铁锰、氯化物污染分别受控于自然作用和地表水地下水交互作用。研究区范围内,城区、郭家镇、菜园子镇、大房身镇、五台乡污染较严重,其他乡镇水质状况良好;依据综合得分可以将浅层地下水划分为3个区域:禁止开采区、农业用水区和生活饮用水区,评价结果可以为政府决策提供参考。
In order to study on the identification and spatial distribution of shallow groundwater pollution sources in Dehui City,43 groups of groundwater quality data of 2014 were collected.Thehydro-chemical characteristics statistical analysis is performed.Based on this,the multivariate statistical analysis is performed by factor analysis,and the 5 common factors(F 1-F 5)are extracted as the main controlling factors of shallow groundwater quality.The 5 factors(F 1-F 5)are mineralization,organic compounds and nitrate nitrogen,ammonia nitrogen,iron and manganese,and chloride respectively.The pollutant sources are further analyzed,and the pollution degree and spatial distribution of the pollutant sources are analyzed according to the factor score with the help of ArcGIS difference tool.The result shows that the variance contributions of the 5 common factors(F 1-F 5)are 19.947%,14.082%,13.661%,12.630%and 12.144%respectively.Organic compounds and nitrate nitrogen(F 2),and ammonia nitrogen(F 3)are the main pollutants in the area,controlled by human action.The pollution of mineralization(F 1)is controlled by migration-enrichment,while the pollution of iron and manganese(F 4)and chloride(F 5)are controlled by natural action and the interaction of surface water and groundwater respectively.The pollution of groundwater in urban areas,Guojia Town,Caiyuanzi Town,Dafangshen Town and Wutai Township aremore serious than other townships.According to the comprehensive score,the shallow groundwater can be divided into 3 regions,namely banned mining areas,agricultural water areas and drinking water areas,the evaluation results can provide a reference for government decision-making.
作者
冯茜
肖长来
刘达
梁秀娟
李宏伟
田辉
FENG Xi;XIAO Changlai;LIU Da;LIANG Xiujuan;LI Hongwei;TIAN Hui(Key Laboratory of Groundwater Resources and Environment,Ministry of Education,Jilin University,Changchun130021,Jilin,China;National-Local Joint Engineering Laboratory of In-situ Conversion,Drilling and Exploitation Technology for Oil Shale,Changchun130021, Jilin,China;College of Environment and Resources,Jilin University,Changchun130021,Jilin,China)
出处
《水利水电技术》
CSCD
北大核心
2018年第12期111-117,共7页
Water Resources and Hydropower Engineering
基金
国家自然基金项目(41572216)
中国地质调查局沈阳地质调查中心"长吉经济圈地质环境综合调查"项目(121201007000150012)
省校共建计划专项--前沿科技引导类(SXGJQY2017-6)
吉林省地质勘查基金重点项目(2014-13)
关键词
因子分析
水化学特征
污染源
空间分布
factor analysis
hydro-chemical characteristics
pollution sources
spatial distribution
