Key Laboratory of Land Surface Pattern and Simulation, Beijing Key Laboratory of Environmental Damage Assessment and Remediation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences (CAS), Beijing 100101, China; Beijing Research Center for Information Technology in Agriculture, Beijing 100097. China.
Key Laboratory of Land Surface Pattern and Simulation, Beijing Key Laboratory of Environmental Damage Assessment and Remediation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences (CAS), Beijing 100101, China.
Sci Total Environ. 2020 Jun 15;721:137770. doi: 10.1016/j.scitotenv.2020.137770. Epub 2020 Mar 6.
This study quantified influences of interactions between anthropogenic and natural factors on trace element accumulation and pollution risk in karst soils at regional and local scales and identified the dominant interacting factors. A total of 513 soil samples were collected from Hechi, southern China to measure concentrations of arsenic (As), cadmium (Cd), chromium (Cr), mercury (Hg), and lead (Pb), which were compared with published background values. Descriptive statistics and occurrence characteristics were developed with geostatistical methods and the comprehensive pollution risk was calculated using the Nemerow pollution index (NPI). Geo-detector models were used to further examine and quantify the influence of 14 factors (5 anthropogenic and 9 natural) on trace element concentrations and NPI, both individually and interacting with the other 13 factors. The results clearly demonstrate that anthropogenic factors interact with natural factors to enhance nonlinearly and significantly trace element accumulation in karst soils. Watershed was the natural factor that most enhanced trace element accumulation when interacting with anthropogenic factors. Land use and smelting industry were the anthropogenic factors that most enhanced trace element accumulation when interacting with natural factors. Land use-watershed interaction accounted for 56% of Cd accumulation and smelting industry-watershed interaction for 19% of As accumulation. Land use-watershed, land use-lithology, and pH-watershed interactions accounted for 51%, 19%, and 15%, respectively of NPI values. The findings indicate that changing land use and reducing pollutant discharge from the smelting industry should be considered.
本研究量化了人为因素和自然因素之间的相互作用对喀斯特土壤中微量元素积累和污染风险的影响，并确定了主要的相互作用因素。共采集了中国南方河池市 513 个土壤样本，以测量砷（As）、镉（Cd）、铬（Cr）、汞（Hg）和铅（Pb）的浓度，并与已发表的背景值进行了比较。利用地统计学方法对描述性统计和出现特征进行了研究，并利用内梅罗污染指数（NPI）计算了综合污染风险。利用地理探测器模型进一步检验和量化了 14 个因素（5 个人为因素和 9 个自然因素）对微量元素浓度和 NPI 的影响，这些因素单独作用和相互作用。结果清楚地表明，人为因素与自然因素相互作用，非线性地显著增强了喀斯特土壤中微量元素的积累。流域是与人为因素相互作用时增强微量元素积累的最重要的自然因素。土地利用和冶炼工业是与自然因素相互作用时增强微量元素积累的最重要的人为因素。土地利用-流域的相互作用解释了 Cd 积累的 56%，冶炼工业-流域的相互作用解释了 As 积累的 19%。土地利用-流域、土地利用-岩性和 pH-流域的相互作用分别解释了 NPI 值的 51%、19%和 15%。研究结果表明，应考虑改变土地利用和减少冶炼工业的污染物排放。
