Zhang Fu-Gui, Peng Min, Wang Hui-Yan, Ma Hong-Hong, Xu Ren-Ting, Cheng Xiao-Meng, Hou Zhao-Lei, Chen Zi-Wan, Li Kuo, Cheng Hang-Xin
Research Center of Geochemical Survey and Assessment on Land Quality, China Geological Survey, Langfang 065000, China.
Institute of Geophysical and Geochemical Exploration, Chinese Academy of Geological Sciences, Langfang, 065000, China.
Huan Jing Ke Xue. 2020 Sep 8;41(9):4197-4209. doi: 10.13227/j.hjkx.201912241.
Heavy metals (HMs) are naturally occurring elements that have high natural background levels in the environment. Therefore, it is important to conduct ecological risk assessment and identify potential sources of HMs. In the past, studies were conducted at the regional scale. The accuracy of those studies could not meet the needs of spatial planning and natural resource management. Therefore, it is necessary to conduct ecological risk assessment at the township scale. In this study, 1092 soil samples (from 0-20 cm depth) were collected in the town of Reshui, an area with high background levels of soil HMs with the parent material of carbonatite, which is commonly found in Southwest China. The town of Reshui is a multi-ecological risk superimposed area where the ecological risk is high. In this study, concentrations of HMs (Cd, Cr, As, Hg, Pb, Cu, Zn, and Ni) in the topsoil were analyzed, and statistical analysis (SA), geographic information system (GIS) modeling, and positive matrix factorization (PMF) analysis were performed. The geoaccumulation index () and potential ecological risk index (PERI) were applied for the ecological risk assessment and quantification of the sources of the soil HMs. The mean values of HM concentrations in the topsoil were 18.1, 1.18, 174.1, 202.2, 0.09, 71.1, 34.9, and 167.2 mg ·kgfor As, Cd, Cr, Cu, Hg, Ni, Pb, and Zn, respectively, which were considerably higher than the average background value (ABV) in soils in Yunnan Province except for As and Pb. The average concentrations of Cd, Cr, Cu, and Ni exceeded the screening values specified in the soil contamination risk in agricultural land (GB 15618-2018) by 5.82, 1.16, 4.04, and 1.02 times, respectively. The value shows that the major pollutant is Cu in the surface soil of the study area, followed by Cr, and Cd. Speciation analysis of HMs indicates that HMs (Cr, As, Pb, Cu, Zn, and Ni) mainly exist in the residual form, mostly from the geological background with low bioavailability. The potential effective components of Hg have higher levels, but the total amount of Hg and its pollution risk are lower. Cd has a high bioavailability ratio, is easy to enter the soil solution and be absorbed by crops, and is the HM with the highest pollution risk in the study area. The PERI shows that the proportions of low ecological risk, moderate risk, and high risk soil samples are 44.23%, 54.40%, and 1.37% of the total number of samples, respectively. Hg and Cd were the major sources of risk because of their high toxicity coefficient. The PMF analysis indicates that there are four major sources of HMs in the study area: human activity, natural sources, coal mining and traffic emissions, and agricultural sources with the risk contribution ratios of 9.29%, 53.67%, 11.23%, and 25.81%, respectively. The PMF analysis effectively quantified the ecological risk from these sources, providing a reference for further pollution control and prevention measures.
重金属(HMs)是环境中天然存在且具有较高自然背景水平的元素。因此,进行生态风险评估并确定重金属的潜在来源很重要。过去,研究是在区域尺度上进行的。这些研究的准确性无法满足空间规划和自然资源管理的需求。因此,有必要在乡镇尺度上进行生态风险评估。在本研究中,在热水镇采集了1092个土壤样本(深度为0 - 20厘米),该地区土壤重金属背景水平较高,母质为碳酸盐岩,常见于中国西南部。热水镇是一个多生态风险叠加的地区,生态风险较高。本研究分析了表层土壤中重金属(镉、铬、砷、汞、铅、铜、锌和镍)的浓度,并进行了统计分析(SA)、地理信息系统(GIS)建模和正定矩阵因子分解(PMF)分析。应用地累积指数()和潜在生态风险指数(PERI)对土壤重金属的生态风险进行评估和来源量化。表层土壤中重金属浓度的平均值分别为:砷18.1、镉1.18、铬174.1、铜71.1、汞0.09、镍167.2、铅34.9和锌202.2毫克·千克,除砷和铅外,均显著高于云南省土壤平均背景值(ABV)。镉、铬、铜和镍的平均浓度分别超过农用地土壤污染风险筛选值(GB 15618 - 2018)规定值的5.82、1.16、4.04和1.02倍。地累积指数表明,研究区域表层土壤中的主要污染物是铜,其次是铬和镉。重金属形态分析表明,重金属(铬、砷、铅、铜、锌和镍)主要以残留态存在,大多来自地质背景,生物有效性较低。汞的潜在有效组分含量较高,但汞的总量及其污染风险较低。镉的生物有效性比例较高,容易进入土壤溶液并被作物吸收,是研究区域污染风险最高的重金属。潜在生态风险指数表明,低生态风险、中等风险和高风险土壤样本分别占样本总数的44.23%、54.40%和1.37%。汞和镉因其高毒性系数而成为主要风险来源。正定矩阵因子分解分析表明研究区域重金属有四个主要来源:人类活动、自然源、煤矿开采和交通排放以及农业源,风险贡献率分别为9.29%、53.67%、11.23%和25.81%。正定矩阵因子分解分析有效地量化了这些来源的生态风险,为进一步的污染控制和预防措施提供了参考。