Organic Micropollutants in New York Lakes: A Statewide Citizen Science Occurrence Study
Organic Micropollutants in New York Lakes: A Statewide Citizen Science Occurrence Study
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纽约湖泊的有机微污染物：全州范围内的公民科学事件研究
DOI：
10.1021/acs.est.0c04775
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发表时间：
2020
影响因子：
11.4
通讯作者：
Zeng, Teng
中科院分区：
文献类型：
--
作者：
Wang, Shiru;Matt, Monica;Murphy, Bethany L.;Perkins, MaryGail;Matthews, David A.;Moran, Sharon D.;Zeng, Teng
有机微污染物 (OMP) 的广泛存在对水生生态系统管理构成了挑战，缩小 OMP 风险评估的差距需要采用数据驱动的方法。增加 OMP 数据集时空覆盖范围的一种有前途的工具是通过公民志愿者的积极参与来扩大 OMP 监测的规模。我们与公民全州湖泊评估计划 (CSLAP) 的志愿者合作，在全州范围内首次对纽约湖泊地表水中 OMP 的发生情况进行了研究。通过基于混合模式固相萃取和液相色谱-高分辨率质谱分析的可疑筛选方法，对 CSLAP 志愿者收集的样品进行了 OMP 分析。纽约州 111 个湖泊的样本中 65 种 OMP 得到确认和定量。 OMP 发生数据的层次聚类揭示了 11 个最常检测到的 OMP 与湖泊污染状态分类的相关性。偏最小二乘回归和多元线性回归分析优先考虑与农业和开发土地利用相关的三个水质参数（即总溶解氮、比电导和废水衍生的荧光有机物成分）作为预测因子的最佳组合，部分解释了 OMP 发生的湖间变异性。最后，暴露-活动比方法确定了与检测到的 OMP 相关的潜在生物效应，值得进一步的生物监测研究。总体而言，这项工作证明了将公民科学方法纳入 OMP 区域影响评估的可行性。
The widespread occurrence of organic micropollutants (OMPs) is a challenge for aquatic ecosystem management, and closing the gaps in risk assessment of OMPs requires a data-driven approach. One promising tool for increasing the spatiotemporal coverage of OMP data sets is through the active involvement of citizen volunteers to expand the scale of OMP monitoring. Working collaboratively with volunteers from the Citizens Statewide Lake Assessment Program (CSLAP), we conducted the first statewide study on OMP occurrence in surface waters of New York lakes. Samples collected by CSLAP volunteers were analyzed for OMPs by a suspect screening method based on mixed-mode solid-phase extraction and liquid chromatography-high resolution mass spectrometry. Sixty-five OMPs were confirmed and quantified in samples from 111 lakes across New York. Hierarchical clustering of OMP occurrence data revealed the relevance of 11 most frequently detected OMPs for classifying the contamination status of lakes. Partial least squares regression and multiple linear regression analyses prioritized three water quality parameters linked to agricultural and developed land uses (i.e., total dissolved nitrogen, specific conductance, and a wastewater-derived fluorescent organic matter component) as the best combination of predictors that partly explained the interlake variability in OMP occurrence. Lastly, the exposure-activity ratio approach identified the potential for biological effects associated with detected OMPs that warrant further biomonitoring studies. Overall, this work demonstrated the feasibility of incorporating citizen science approaches into the regional impact assessment of OMPs.