基于APCS-MLR受体模型和地统计法的矿区周边农用地土壤重金属来源解析

为探明矿区周边土壤重金属来源，为地区土壤污染防治提供有效建议，在重庆市黔江区五里乡北部采集表层土壤(0～20 cm)样品118件，分析了土壤中重金属(Cd、 Hg、 Pb、 As、 Cr、 Cu、 Zn和Ni)含量及土壤pH,利用地统计法和APCS-MLR受体模型对土壤重金属空间分布和来源进行了研究.结果表明，土壤重金属含量明显高于重庆市背景值，存在明显的表层累积.Hg、 Pb、 Cd、 As和Zn均表现为极强变异.土壤Cd、 Hg、 Pb、 As和Zn超过风险筛选值的比例分别为47.11%、 6.61%、 4.96%、 5.79%和7.44%,土壤Cd、 Hg、 Pb和As超过风险管制值的比例分别为0.83%、 4.13%、 0.83%和0.83%,土壤重金属超标问题显著.土壤Cd、 As、 Cr、 Cu和Ni主要受到成土母质的影响，对土壤元素总量的贡献率分别为77.65%、 68.55%、 71.98%、 90.83%和82.19%,土壤Hg、 Pb和Zn主要受到汞矿和铅锌矿开采的影响，贡献率分别为86.59%、 88.06%和91.34%.此外，农业活动也会影响土壤Cd和As的含...

Source Analysis of Soil Heavy Metals in Agricultural Land Around the Mining Area Based on APCS-MLR Receptor Model and Geostatistical Method

In order to identify the source of heavy metals in the soil around a mining area and provide effective suggestions for the prevention and control of regional soil pollution, 118 topsoil samples (0-20 cm) were collected in the northern part of Wuli Township, Qianjiang District, Chongqing. The heavy metal (Cd, Hg, Pb, As, Cr, Cu, Zn, and Ni) contents in the soil and soil pH were analyzed, and the spatial distribution and sources of heavy metals in the soil were studied using the geostatistical method and APCS-MLR receptor model. The results showed that the content of heavy metals in the soil was significantly higher than the background value in Chongqing; there was obvious surface accumulation; and Hg, Pb, Cd, As, and Zn showed strong variation. The proportions of soil Cd, Hg, Pb, As, and Zn exceeding the risk screening values were 47.11%, 6.61%, 4.96%, 5.79%, and 7.44%, respectively, and the proportions of soil Cd, Hg, Pb, and As exceeding the risk control values were 0.83%, 4.13%, 0.83%, and 0.83%; thus, the problem of excessive heavy metals in the soil was significant. Soil Cd, As, Cr, Cu, and Ni were mainly affected by soil parent materials, and their contribution rates to the total soil elements were 77.65%, 68.55%, 71.98%, 90.83%, and 82.19%, respectively. Soil Hg, Pb, and Zn were mainly affected by the mining of mercury mines and lead-zinc mines, with the contribution rates of 86.59%, 88.06%, and 91.34%, respectively. In addition, agricultural activities also affected soil Cd and As contents. It is recommended to strengthen the safety monitoring of agricultural products and agricultural inputs, plant varieties with a low accumulation of heavy metals, reduce the use of livestock manure, and grow non-edible agricultural products in areas that exceed the control value of heavy metal pollution risk.