Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring, Ministry of Education, Changsha, Hunan, 410083, China.
School of Geosciences and Info-Physics, Central South University, Changsha, Hunan, 410083, China.
Sci Rep. 2017 Mar 23;7(1):341. doi: 10.1038/s41598-017-00468-2.
Traditional sampling for soil pollution evaluation is cost intensive and has limited representativeness. Therefore, developing methods that can accurately and rapidly identify at-risk areas and the contributing pollutants is imperative for soil remediation. In this study, we propose an innovative integrated H-G scheme combining human health risk assessment and geographical detector methods that was based on geographical information system technology and validated its feasibility in a renewable resource industrial park in mainland China. With a discrete site investigation of cadmium (Cd), arsenic (As), copper (Cu), mercury (Hg) and zinc (Zn) concentrations, the continuous surfaces of carcinogenic risk and non-carcinogenic risk caused by these heavy metals were estimated and mapped. Source apportionment analysis using geographical detector methods further revealed that these risks were primarily attributed to As, according to the power of the determinant and its associated synergic actions with other heavy metals. Concentrations of critical As and Cd, and the associated exposed CRs are closed to the safe thresholds after remediating the risk areas identified by the integrated H-G scheme. Therefore, the integrated H-G scheme provides an effective approach to support decision-making for regional contaminated soil remediation at fine spatial resolution with limited sampling data over a large geographical extent.
传统的土壤污染评估采样成本高，代表性有限。因此，开发能够准确、快速识别高风险区域和贡献污染物的方法对于土壤修复至关重要。本研究提出了一种基于地理信息系统技术的创新的 H-G 综合方案，结合人体健康风险评估和地理探测器方法，并在中国内地的一个可再生资源产业园区进行了可行性验证。通过对镉（Cd）、砷（As）、铜（Cu）、汞（Hg）和锌（Zn）浓度的离散点调查，对这些重金属引起的致癌风险和非致癌风险的连续表面进行了估计和绘制。使用地理探测器方法进行的源分配分析进一步表明，这些风险主要归因于 As，根据决定因素的力量及其与其他重金属的协同作用。在对综合 H-G 方案识别的风险区域进行修复后，关键的 As 和 Cd 浓度及其相关的暴露 CR 接近安全阈值。因此，该综合 H-G 方案为在大地理范围内，利用有限的采样数据在精细空间分辨率上支持区域污染土壤修复的决策提供了一种有效的方法。
