Zhang Huilan, Zhang Min, Wu Yueting, Tang Juan, Cheng Shiyu, Wei Yilin, Liu Ying
College of Life and Environmental Sciences, Minzu University of China, Beijing, 100081, China.
Beijing Engineering Research Center of Food Environment and Public Health, Minzu University of China, Beijing, 100081, China.
Environ Geochem Health. 2021 Nov;43(11):4789-4803. doi: 10.1007/s10653-021-00964-5. Epub 2021 May 18.
Heavy metals (HMs) in farmland soils lead to adverse influences on ecosystem and human health. Despite that, data on quantitative risk from different sources are still scarce. In this study, 100 farmland soil samples in Jiuyuan District were collected and analyzed for selected HMs (As, Cd, Co, Cr, Cu, Mn, Ni, Pb, V and Zn) content characteristics and pollution statuses. The positive matrix factorization (PMF) model combined with the Nemerow integrated risk index (NIRI) and human health risk assessment (HHRA) was used to quantitatively identify the primary risk sources. The results indicated that the mean contents or median values (mg/kg) of 10 HMs were all higher than the background values. The contamination factor (CF) and pollution load index (PLI) revealed that the soil was severely polluted. Based on PMF, the main source of HM pollution was anthropogenic activities, accounting for 78.91%. Sewage irrigation represented the biggest input but was not associated with the highest risk. The results of PMF-based NIRI and PMF-based HHRA showed that the chemical fertilizers and pesticides were the largest and priority risk sources with contribution rates of 38.10% to ecological risk and 34.61 and 32.82% to non-carcinogenic and carcinogenic risk, respectively. In addition, non-carcinogenic risk of children was higher than that of adults, while the carcinogenic risk was the opposite. The integrated approaches were beneficial for priority risk quantification from different sources and can provide direct risk information and effective policy recommendations for management and control of key risk sources.
农田土壤中的重金属对生态系统和人类健康会产生不利影响。尽管如此,来自不同来源的定量风险数据仍然匮乏。在本研究中,采集了九原区100个农田土壤样本,分析了所选重金属(砷、镉、钴、铬、铜、锰、镍、铅、钒和锌)的含量特征及污染状况。采用正矩阵因子分解(PMF)模型结合内梅罗综合风险指数(NIRI)和人体健康风险评估(HHRA)对主要风险源进行定量识别。结果表明,10种重金属的平均含量或中位数(mg/kg)均高于背景值。污染因子(CF)和污染负荷指数(PLI)表明土壤受到严重污染。基于PMF模型,重金属污染的主要来源是人为活动,占78.91%。污水灌溉是最大的输入源,但并非风险最高的来源。基于PMF的NIRI和基于PMF的HHRA结果表明,化肥和农药是最大且首要的风险源,对生态风险的贡献率为38.10%,对非致癌风险和致癌风险的贡献率分别为34.61%和32.82%。此外,儿童的非致癌风险高于成人,而致癌风险则相反。综合方法有助于对不同来源的优先风险进行量化,可为关键风险源的管理和控制提供直接的风险信息及有效的政策建议。