干旱区生态环境知识资源中心(Arid): 西北旱区盐湖盆地地下水化学组分源解析

Arid

	西北旱区盐湖盆地地下水化学组分源解析
其他题名	Source Identification of Groundwater Chemical Components in the Salt Lake Basin of Northwest Arid Area,China
	秦子元 1; 高瑞忠 2; 张生 2; 贾德彬 2; 杜丹丹 2; 张阿龙 1; 王喜喜 3
来源期刊	环境科学研究
ISSN	1001-6929
出版年	2019
卷号	32 期号:11 页码:1790-1799
中文摘要	为实现对吉兰泰盐湖盆地地下水污染源的识别与管理,系统采集区域内71个地下水样品,测定16项地下水质关键指标;以GB/T 14848-2017《地下水质量标准》中的Ⅲ类标准为依据确定特征污染物,利用因子分析( FA)确定地下水水质指标的因子分类,以地质统计学插值绘图揭示不同污染源的空间分布特征,运用APCS-MLR(绝对主成分得分多元线性回归)量化不同污染源的贡献率.结果表明:研究区内rho( Cr~(6+) ) 、rho( As) 、rho( NH_4~+ ) 、rho( F~-) 、rho( Cl~-) 、rho( NO_2~-) 、rho( CODMn ) 、rho( TDS) 、pH等9项地下水水质指标均存在超标现象,其中rho( NH_4~+ ) 、rho( Cl~-) 、rho( F~-)超标较为严重.通过因子分析法筛选出影响研究区地下水水质的6个公因子,即溶滤-富集作用因子( F_1,贡献率为24.61%) 、农业活动因子( F_2,贡献率为20.38%) 、原生地质-农业生产、生活污染因子( F_3,贡献率为11.72%) 、工业生产污染因子( F_4,贡献率为10.38%) 、地质环境背景因子( F_5,贡献率为10.78%) 、原生地质因子( F_6,贡献率为10.61%), 其中F_1、F_5、F_6为环境影响因子,F_2、F_3、F_4为人类活动影响因子.采用因子得分函数计算得到因子得分,巴音乌拉山一带整体污染因子得分较高,乌兰布和沙漠存在点状高值区,图格力高勒沟谷上游也存在一定程度的污染,而盐湖盆地东南大部分区域水质相对较好,其分布与变化受到天然因素和人类活动的双重影响.利用APCS-MLR得到各水质指标预测值与实测值的R~2 (线性拟合优度)均大于0.7,APCS-MLR可较好地评估各因子对水质的贡献率.研究显示,因子分析与APCS-MLR相结合可以有效地对地下水化学组分进行定性识别与定量解析.
英文摘要	In order to realize identification and management of groundwater pollution sources in the Jilantai Salt Lake Basin, 71 groundwater samples were collected and 16 key index of groundwater quality were tested. Based on the level Ⅲ values of Standard for Groundwater Quality ( GB/T 14848-2017 ), the characteristic pollutants of groundwater were identified. The factor classification of groundwater quality index was determined by factor analysis. The spatial distribution characteristics of different pollution sources were revealed by using map interpretion from geo-statistical interpolation. Multiple linear regression of absolute principal component score ( APCS-MLR) was used to quantify the contribution rate of different pollution sources. The results showed that: 9 groundwater quality index ( e.g. rho( Cr~(6+) ), rho( As), rho ( NH_4~+ ), rho ( F~-), rho ( Cl~-), rho ( NO_2~-), rho ( CODMn ), rho ( TDS), pH) were higher than the standard values,and rho( NH_4~+ ), rho( F~-), rho( Cl~-) were worse than others. The 6 common factors influencing groundwater quality were screened out by the method of factor analysis,which were leached-enrichment factor ( F_1,contribution rate of 24.61%), agricultural activity factor ( F_2,contribution rate of 20.38%), original geological-agricultural production and living pollution factor ( F_3,contribution rate of 11.72%), industrial production pollution factor ( F_4,contribution rate of 10.38%), geological environment background factor ( F_5, contribution rate of 10.78%) and original geological factor ( F_6, contribution rate of 10.61%) respectively. F_1,F_5 and F_6 were environmental factors,and F_2,F_3 and F_4 were human activity factors. The factor scores were obtained from factor function,which showed that the overall pollution factor score in the Bayinwula Mountains was higher,and point-like high-value areas existed in the Ulanbuh desert. There was certain degree of pollution in the upper reaches of Tugrigolla Valley,while the water quality in most parts of the southeastern salt lake basin was better. These kinds of distribution and change were affected by both natural factors and human activities. The R~2 between the calculated water quality index by APCS-MLR and observed values were greater than 0.7. APCS-MLR could be used to evaluate the contribution rate of factor to water quality. The study showed that the combining factor analysis and APCS-MLR method was better in effectively identifying and quantitatively analyzing the chemical components of groundwater.
中文关键词	地下水 ; 因子分析( FA) ; 绝对主成分得分多元线性回归( APCS-MLR) ; 盐湖盆地 ; 化学组分源解析 ; 空间分布
英文关键词	groundwater factor analysis multiple linear regression of absolute principal component score ( APCS-MLR) salt lake basin source identification of chemical component spatial distribution
语种	中文
收录类别	CSCD
WOS类目	ENVIRONMENTAL SCIENCES
WOS研究方向	Environmental Sciences & Ecology
CSCD记录号	CSCD:6612436
来源机构	内蒙古农业大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/315963
作者单位	1.内蒙古农业大学水利与土木建筑工程学院, 呼和浩特, 内蒙古 010018, 中国; 2.内蒙古农业大学水利与土木建筑工程学院;;内蒙古自治区水资源保护与利用重点实验室, ;;内蒙古自治区水资源保护与利用重点实验室, 呼和浩特;;呼和浩特, 内蒙古;;内蒙古 010018;;010018, 中国; 3.美国欧道明大学, 弗吉尼亚诺福克, 23529, 美国
推荐引用方式 GB/T 7714	秦子元,高瑞忠,张生,等. 西北旱区盐湖盆地地下水化学组分源解析[J]. 内蒙古农业大学,2019,32(11):1790-1799.
APA	秦子元.,高瑞忠.,张生.,贾德彬.,杜丹丹.,...&王喜喜.(2019).西北旱区盐湖盆地地下水化学组分源解析.环境科学研究,32(11),1790-1799.
MLA	秦子元,et al."西北旱区盐湖盆地地下水化学组分源解析".环境科学研究 32.11(2019):1790-1799.