干旱区生态环境知识资源中心(Arid): 基于PMF模型的准东煤矿周围土壤重金属污染及来源解析

Arid

	基于PMF模型的准东煤矿周围土壤重金属污染及来源解析
其他题名	Pollution and source identification of heavy metals in surrounding soils of Eastern Junggar Coalfield based on PMF model
	比拉力·依明 1; 阿不都艾尼·阿不里 1; 师庆东 1; 刘素红 2; 尼加提·卡斯木 1; 李浩 1
来源期刊	农业工程学报
ISSN	1002-6819
出版年	2019
卷号	35 期号:9 页码:185-192
中文摘要	为了解准东煤矿区周围土壤的污染状况及来源,在准东露天矿区采集47个表层土壤样本,测定其中Zn、Cu、 Pb、Cr、Hg和As 6种重金属元素的含量。运用统计学方法、地累计指数(geoaccumulation index,Igeo)和潜在风险指数(potential ecological risk index,PER)对研究区土壤重金属污染程度和生态风险态势进行评价,采用正矩阵分解模型(positive matrix factorization,PMF)解析重金属污染源。结果表明:1)研究区土壤Zn、Cu、Pb、Cr、Hg和As含量均超出新疆土壤环境质量背景值,超标率分别为2.1%、14.9%、4.3%、68.1%、68.1%和95.8%,其中As含量的均值分别超过国家土壤质量Ⅰ级和Ⅱ级标准(GB15618-1995)的2.1和1.3倍;2)Hg的地累积指数和潜在生态风险指数呈极高污染和高风险态势,Zn、Cu和Pb处于未污染和低风险状态。研究区综合潜在生态风险指数介于50.09~1 038.47之间,差异明显,均值为180.22,21%和11%土壤采样点呈现出较高和高风险水平;3)PMF模型结果显示:研究区土壤Hg主要受到燃煤活动的影响;Pb的积累主要与交通运输有关,As的积累主要与大气沉降和工业排放有关,工业排放是Cr的主要污染源,Zn和Cu的积累主要与土壤成土母质等自然因素有关。燃煤、交通运输、大气降尘、工业排放和自然因素5种来源的贡献率分别为20.79%,16.83%,16.83%和27.72%和17.82%。
英文摘要	Soils around coal mining areas are severely polluted by heavy metals, due to the impact of frequent and sustained mining activities. In fragile arid ecosystems, anthropogenic activities easily lead to ecological degradation, and the restoration is difficult once it is polluted, so accurate and quantitative assessment of soil heavy metal contents is crucial to evaluate the ecological risks caused by the contaminants in coal-oriented industrial area. In this study, a typical arid mining area, the Eastern Junggar Basin of Xinjiang was selected as the research area. To examine the soil heavy metal pollution characteristics, the contents of heavy metals of Zn, Cu, Pb, Cr, Hg and As were measured from 47 surface soil samples (0-20 cm) around the coal mining region. The basic statistical analysis, geo-accumulation index (Igeo), potential ecological risk assessment (PER) and positive matrix factorization model (PMF) were used to identify the statistical characteristics, pollution degree and possible sources of soil heavy metals in surrounding soils of the Eastern Junggar Coalfield. The results showed that: 1) Zn, Cu, Pb, Cr, Hg and As content in study area exceeded their background values of Xinjiang soils by 2.1%, 14.9%, 4.3%, 68.1%, 68.1%, 95.8%, respectively. However, the average value of As exceeded the both national standard I and II, that was 2.1 and 1.3 times of national standard I and II values, respectively; 2) The geo-accumulation index and potential ecological risk index of Hg showed strong pollution (Igeo>3-4) and extremely high risk level (Igeo>4-5), while Zn, Cu and Pb were in a state of no pollution or slight risk level. The comprehensive ecological risk index (RI) of the study area ranged from 50.09 to 1038.47with the mean value of 180.22, 21% and 11% of soil samples indicated high (RI>300-600) and strong risk levels (RI≥600), respectively. 3) The results of PMF model explained that Hg content was mainly related to coal combustion; the accumulation of Pb (53%), Zn (24%) and Cu (19%) originated from vehicle emissions. As, Pb and Hg in soils were derived from the atmospheric deposition. Industrial discharge was the possible source of Cr and As. The accumulation of Zn and Cu was mainly attributed to natural factors. The contribution rates of five possible sources (coal combustion, vehicle emissions, atmospheric deposition, industrial discharge and natural factors) were 20.79%, 16.83%, 16.83%, 27.72% and 17.82%, respectively. The results of this research revealed that positive matrix factorization model applied in this study effectively reflected the possible sources of heavy metal contamination in soils in a quantitative way, and suggested that potential ecological risks may be reduced by controlling emissions and waste materials during mining and other industrial activities.
中文关键词	土壤 ; 重金属 ; 污染 ; 矿区 ; 生态风险 ; PMF模型 ; 污染源
英文关键词	soils heavy metals pollution mining area ecological risk PMF model pollution sources
语种	中文
国家	中国
收录类别	CSCD
WOS类目	GEOSCIENCES MULTIDISCIPLINARY
WOS研究方向	Geology
CSCD记录号	CSCD:6530797
来源机构	新疆大学 ; 北京师范大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/239342
作者单位	1.新疆大学干旱生态环境研究所;;新疆大学, ;;绿洲生态教育部重点实验室, 乌鲁木齐;;乌鲁木齐, ;; 830046;;830046; 2.北京师范大学地理科学学部, 北京 100875, 中国
推荐引用方式 GB/T 7714	比拉力·依明,阿不都艾尼·阿不里,师庆东,等. 基于PMF模型的准东煤矿周围土壤重金属污染及来源解析[J]. 新疆大学, 北京师范大学,2019,35(9):185-192.
APA	比拉力·依明,阿不都艾尼·阿不里,师庆东,刘素红,尼加提·卡斯木,&李浩.(2019).基于PMF模型的准东煤矿周围土壤重金属污染及来源解析.农业工程学报,35(9),185-192.
MLA	比拉力·依明,et al."基于PMF模型的准东煤矿周围土壤重金属污染及来源解析".农业工程学报 35.9(2019):185-192.