Guangdong Key Laboratory of Integrated Agro-environmental Pollution Control, Guangdong Institute of Eco-Environmental Science & Technology, Guangzhou, 510650, China; National-Regional Joint Engineering Research Center for Soil Pollution Control and Remediation in South China, Guangzhou, 510650, China.
Center for Geospatial Analytics, North Carolina State University, Raleigh, NC, 27606, USA; Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, NC, 27606, USA.
Environ Pollut. 2020 May;260:114075. doi: 10.1016/j.envpol.2020.114075. Epub 2020 Jan 27.
This three-decade long study was conducted in the Pearl River Delta (PRD), a rapidly urbanizing region in southern China. Extensive soil samples for a diverse land uses were collected in 1989 (113), 2005 (1384), 2009 (521), and 2018 (421) for heavy metals of As, Cr, Cd, Cu, Hg, Ni, Pb and Zn. Multiple pollution indices and Structural Equation Models (SEMs) were used in attribution analysis and comprehensive assessments. Data showed that majority of the sampling sites was contaminated by one or more heavy metals, but pollutant concentrations had not reached levels of concerns for food security or human health. There was an increasing trend in heavy metal contamination over time and the variations of soil contamination were site-, time- and pollutant-dependent. Areas with high concentrations of heavy metals overlapped with highly industrialized and populated areas in western part of the study region. A dozen SEMs path analyses were used to compare the relative influences of key environmental factors on soil contamination across space and time. The high or elevated soil contaminations by As, Cr, Ni, Cu and Zn were primarily affected by soil properties during the study period, except 1989-2005, followed by land use patterns. Parent materials had a significant effect on elevated soil contamination of Cd, Cr, Ni, Pb and overall soil pollution during 1989-2005. We hypothesized that other factors not considered in the present study, such as atmospheric deposition, sewage irrigation, and agrochemical uses, may be also important to explain the variability of soil contamination. This study implied that strategies to improve soil physiochemical properties and optimize landscape structures are viable methods to mitigate soil contamination. Future studies should monitor pollutant sources identified by this study to fully understand the causes of heavy metal contamination in rapidly industrialized regions in southern China.
这项为期三十年的研究在中国南方快速城市化的珠江三角洲(PRD)进行。1989 年(113 个)、2005 年(1384 个)、2009 年(521 个)和 2018 年(421 个)采集了广泛的土地利用土壤样本,用于分析重金属砷、铬、镉、铜、汞、镍、铅和锌。使用多种污染指数和结构方程模型(SEMs)进行归因分析和综合评估。数据表明,大多数采样点受到一种或多种重金属的污染,但污染物浓度尚未达到食品安全或人类健康担忧的水平。随着时间的推移,重金属污染呈上升趋势,土壤污染的变化取决于地点、时间和污染物。重金属浓度高的地区与研究区域西部高度工业化和人口稠密的地区重叠。十几个 SEM 路径分析用于比较关键环境因素对不同时空土壤污染的相对影响。在研究期间,除了 1989-2005 年,土壤特性主要影响砷、铬、镍、铜和锌的高或升高土壤污染,其次是土地利用模式。母质对 1989-2005 年间镉、铬、镍、铅和整体土壤污染的升高土壤污染有显著影响。我们假设,本研究中未考虑到的其他因素,如大气沉降、污水灌溉和农用化学品的使用,可能对解释土壤污染的可变性也很重要。本研究表明,改善土壤物理化学性质和优化景观结构的策略是减轻土壤污染的可行方法。未来的研究应监测本研究确定的污染源,以充分了解中国南方快速工业化地区重金属污染的原因。