MOE Key Laboratory of Groundwater Circulation and Environmental Evolution, China University of Geosciences (Beijing), Beijing, 100083, People's Republic of China.
Beijing Key Laboratory of Water Resources and Environmental Engineering, China University of Geosciences (Beijing), Beijing, 100083, People's Republic of China.
Environ Geochem Health. 2019 Dec;41(6):2681-2695. doi: 10.1007/s10653-019-00331-5. Epub 2019 May 25.
Songnen plain is an important commodity grain base of China, and this is the first study on the comprehensive detection of multiple pesticides in groundwater. Based on an analytical method of 56 pesticides, 30 groundwater samples were collected and analyzed. At least 4 pesticides were detected in each sample and 32 out of 56 pesticides were detected. The average detected levels of individual pesticides were approximately 10-100 ng/L. Organophosphorus pesticides and carbamate pesticides were the dominant pesticides, and their percentage of total pesticide concentrations were 35.9% and 55.5%, respectively. Based on the spatial distribution, the characteristic of nonpoint source pollution was indicated in the whole study area except for a point source pollution with the influence of a sewage oxidation pond. Nine core pesticides and three distinct clusters of the core pesticides with various concentration patterns were revealed by cluster analysis. Linear regression identified a significant relationship between the cumulative detections and the cumulative concentrations, providing access to identify the outlying contaminant events that deviate substantially from the linear trend. A new insight for prediction of pesticide occurrence was provided by the Pearson correlation between some individual pesticide concentrations and the cumulative detections or the cumulative concentrations. According to health risk assessment, the residual pesticides posed medium risks for children and infants and approximately 90% of risks were composed of β-HCH, dimethoate, ethyl-p-nitrophenyl phenylphosphonothioate and methyl parathion. These findings contributed to establishing a database for future monitoring and control of pesticides in agricultural areas.
松嫩平原是中国重要的商品粮基地，本研究首次全面检测了地下水中的多种农药。基于 56 种农药的分析方法，采集了 30 个地下水样本并进行了分析。每个样本中至少检测到 4 种农药，共检测到 56 种农药中的 32 种。各农药的平均检出水平约为 10-100ng/L。有机磷农药和氨基甲酸酯农药是主要的农药，其占总农药浓度的百分比分别为 35.9%和 55.5%。根据空间分布，整个研究区域表现出非点源污染的特征，除了受污水处理氧化塘影响的点源污染外。聚类分析揭示了 9 种核心农药和 3 个具有不同浓度模式的核心农药簇。通过线性回归确定了累积检出浓度与累积浓度之间存在显著关系，为识别偏离线性趋势的异常污染物事件提供了途径。一些单个农药浓度与累积检出浓度或累积浓度之间的 Pearson 相关性为预测农药的出现提供了新的见解。根据健康风险评估，残留农药对儿童和婴儿构成中等风险，约 90%的风险由β-HCH、乐果、乙基对硝基苯基苯基硫代磷酸酯和甲基对硫磷组成。这些发现有助于为未来农业区农药的监测和控制建立数据库。
