Beijing Key Laboratory of Remediation of Industrial Pollution Sites, Environmental Protection Research Institute of Light Industry, Beijing 100089, China.
Beijing Key Laboratory of Remediation of Industrial Pollution Sites, Environmental Protection Research Institute of Light Industry, Beijing 100089, China.
Sci Total Environ. 2019 May 10;664:392-413. doi: 10.1016/j.scitotenv.2019.01.310. Epub 2019 Jan 25.
With the rapid development of modern industry, heavy metals in the soil introduce the risk of serious pollution. To reduce this pollution risk, the following four research questions needed to be addressed: What are the main influencing factors of soil pollution? What is the degree of influence? Do factors operate independently or are they interconnected? Which regions have high pollution risk and should be paid more attention? The study area was in Huanjiang County, with 273 km, and geographical detector proved to be a useful tool to solve these four problems. We found that mine activity and pH value were the primary influencing factors for total and water-soluble heavy metals. The interaction effects of mine activity and soil type, pH values, and normalized difference vegetation index (NDVI) for total heavy metals, as well as pH value and mine activity for water-soluble heavy metals, were greater than the sum effect of two factors. Zones with a high concentration of heavy metals were closer to the road and farther from the mine area, which had low NDVI, large slope, high terrain, and large pH values. Concentrations of total heavy metals were higher in calcareous soils and in dryland and forests. Zones with a higher concentration of water-soluble heavy metals were closer to the mine and river, which had lower DEM and pH values. The uncertainty of geographical detector was also analyzed on the basis of their interpolation accuracy and the stratification number of influencing factors, and we found that the existing sample numbers and the stratification number of influencing factors met the needs of geographical detector calculation. This study's conclusions are useful for soil pollution control and restoration.
随着现代工业的飞速发展,土壤中的重金属带来了严重污染的风险。为了降低这种污染风险,需要解决以下四个研究问题:土壤污染的主要影响因素是什么?影响程度如何?这些因素是相互独立作用还是相互关联?哪些地区存在高污染风险,需要特别关注?研究区域位于环江县,面积 273 平方公里。地理探测器被证明是解决这四个问题的有用工具。研究发现,矿山活动和 pH 值是土壤中总重金属和水溶性重金属的主要影响因素。矿山活动与土壤类型、pH 值和归一化植被指数(NDVI)对总重金属的相互作用效应,以及 pH 值和矿山活动对水溶性重金属的相互作用效应均大于两个因素的总和效应。重金属浓度较高的区域更靠近道路,远离矿区,NDVI 值较低,坡度较大,地形较高,pH 值较大。在钙质土壤以及旱地和森林中,总重金属浓度更高。水溶性重金属浓度较高的区域更靠近矿山和河流,DEM 值和 pH 值较低。在基于插值精度和影响因素分层数量对地理探测器不确定性进行分析的基础上,发现现有样本数量和影响因素分层数量满足地理探测器计算的需要。本研究的结论有助于土壤污染的控制和修复。