Characterizing the Chemical Profile of Biological Decline in Stormwater-Impacted Urban Watersheds
Characterizing the Chemical Profile of Biological Decline in Stormwater-Impacted Urban Watersheds
复制标题
DOI：
10.1021/acs.est.1c08274
复制
发表时间：
2022-03-01
影响因子：
11.4
通讯作者：
Kolodziej, Edward P.
中科院分区：
文献类型：
--
作者：
Peter, Katherine T.;Lundin, Jessica, I;Kolodziej, Edward P.
在受城市径流影响的流域，化学污染是一个日益重要的保护问题。监管和恢复工作通常评估有限的常规参数和污染物。然而，复杂的城市化学混合物中含有数百至数千种有机污染物，这些污染物尚未被识别，不受管制，而且人们对其了解甚少。本研究的目的是开发具有广泛代表性的指标，对应于以前记录的生物降解沿着梯度的人类影响的水质损害。溪流样本（n = 65，基流/降雨条件，2017-2018）收集自15个区域流域（普吉特湾，华盛顿州，美国），跨越景观特征定义的城市化梯度。通过非靶向高分辨率质谱（7068次检测）表征的地表水化学组成与基于城市化的梯度（p < 0.01）和季节（p < 0.01）高度相关。化学成分的景观尺度变化与生物衰退的两个锚点密切相关：银鲑（Oncorhynchus kisutch）死亡风险（p < 0.001）和河流大型无脊椎动物多样性和丰度的丧失（p < 0.001）。我们分离并确定了32个城市径流影响和相应的受纳水生态健康指标，包括众所周知的人为污染物（例如，咖啡因、有机磷酸酯、媒介衍生的化学品）、两种相关的环境转化产物和一种新的（甲氧基甲基）三聚氰胺化合物。成果支持以数据为导向选择下一代水质指标，以便对旨在保护水生生态系统的流域管理工作进行优先排序和评价。
Chemical contamination is an increasingly important conservation issue in urban runoff-impacted watersheds. Regulatory and restoration efforts typically evaluate limited conventional parameters and pollutants. However, complex urban chemical mixtures contain hundreds to thousands of organic contaminants that remain unidentified, unregulated, and poorly understood. This study aimed to develop broadly representative metrics of water quality impairment corresponding to previously documented biological degradation along gradients of human impacts. Stream samples (n = 65, baseflow/rainfall conditions, 2017-2018) were collected from 15 regional watersheds (Puget Sound, WA, USA) across an urbanization gradient defined by landscape characteristics. Surface water chemical composition characterized via non-targeted high-resolution mass spectrometry (7068 detections) was highly correlated with landscape-based urbanization gradient (p < 0.01) and season (p < 0.01). Landscape-scale changes in chemical composition closely aligned with two anchors of biological decline: coho salmon (Oncorhynchus kisutch) mortality risk (p < 0.001) and loss of stream macroinvertebrate diversity and abundance (p < 0.001). We isolated and identified 32 indicators for urban runoff impacts and corresponding receiving water ecological health, including well-known anthropogenic contaminants (e.g., caffeine, organophosphates, vehicle-derived chemicals), two related environmental transformation products, and a novel (methoxymethyl)melamine compound. Outcomes support data-directed selection of next-generation water quality indicators for prioritization and evaluation of watershed management efforts intended to protect aquatic ecosystems.