典型铅锌冶炼渣场及其影响区土壤重金属分布及影响因素  

Distribution and Influencing Factors of Soil Heavy Metals in a Typical Pb-Zn Smelting Slag Site and its Impact Area

作　　者：王启铭 邬光炜 邹落梅 梁馨予 周明罗 谌书[1,2] 王彬[1,2] Wang Qiming;Wu Guangwei;Zou Luomei;Liang Xinyu;Zhou Mingluo;Chen Shu;Wang Bin(School of Environment and Resource,Southwest University of Science and Technology,Mianyang 621010;Key Laboratory of Solid Waste Treatment and Resource Recycle Ministry of Education,Southwest University of Science and Technology,Mianyang 621010,China)

机构地区：[1]西南科技大学环境与资源学院,四川绵阳621010 [2]西南科技大学固体废物处理与资源化教育部重点实验室,四川绵阳621010

出　　处：《广东化工》2022年第5期111-114,共4页Guangdong Chemical Industry

基　　金：国家重点研发项目(2019YFC1803500)。

摘　　要：以某省级工业园区及周边土壤为研究对象,对土壤重金属元素Pb、Cd、Cu、Zn、As、Cr、Ni的总量以及赋存形态特征进行了分析,并基于地理探测器、污染负荷指数法和风险编码法(RAC)对土壤重金属的生态风险进行评估,铅锌冶炼渣场及周围区域总污染负荷指数PLIZONE为1.82,属轻度污染水平。土壤中Cd以弱酸态为主,Cu以残渣态和可氧化态为主,Pb以可还原态为主,As和Cr以残渣态为主。风险评估编码法评价表明,Cd的酸提取态占比较高,可能存在风险,Cr无风险,其余重金属为低风险。地理探测器的因子探测表明高程、土壤有机质(SOM)、阳离子交换量(CEC)对7种重金属含量的解释力最显著,地势和土壤理化性质是重金属分布差异的重要影响因素。这些土壤环境因素可作为重金属含量空间预测模型的辅助变量,为土壤重金属污染防治提供科学依据。In this study, the total concentration and speciation characteristics of Pb, Cd, Cu, Zn, As, Cr and Ni in soils around an provincial industrial park were tested and analyzed. The ecological risk of soil heavy metals was assessed based on the geographic detector, pollution load index and risk assessment code(RAC),and there sults showed that the total pollution load index PLIZONE of lead and zinc smelting slag site and the surrounding area is 1.82,which is at the light pollution level.Cd was dominated by the acid soluble fractions, and Cu was mainly composed of the residual and oxidizable fractions, Pb was mainly composed of the reducible fractions, As and Cr gave priority to the residual fractions in soil. The risk assessment code based on chemical species showed that high percentage of acid soluble fractions of Cd may be risky, Cr was no risk level, and the other heavy metals were low risk level. The factor detection showed that elevation, soil organic matter(SOM)and cation exchange capacity(CEC)had the most significant explanatory power for the content of the seven heavy metals, indicating that terrain and soil physical chemical properties were the main factors for the distribution variation of soil heavy metal. These soil environmental factors can be used as auxiliary variables in the spatial prediction model of heavy metal content to provide a scientific basis for the prevention and control of soil heavy metal pollution.

关 键 词：土壤重金属 地理探测器 污染评价 形态分析 

分 类 号：X53[环境科学与工程—环境工程]