U.S. Environmental Protection Agency, Office of Research and Development, National Center for Environmental Assessment, Cincinnati, OH 45268, USA.
Tetra Tech, Inc., 10711 Red Run Blvd., Suite 105, Owings Mills, MD 21117, USA.
Sci Total Environ. 2018 Aug 15;633:1657-1666. doi: 10.1016/j.scitotenv.2018.02.018. Epub 2018 Feb 19.
The concentration of salts in streams is increasing world-wide making freshwater a declining resource. Developing thresholds for freshwater with low specific conductivity (SC), a measure of dissolved ions in water, may protect high quality resources that are refugia for aquatic life and that dilute downstream waters. In this case example, methods are illustrated for estimating protective levels for streams with low SC. The Cascades in the Pacific Northwest of the United States of America was selected for the case study because a geophysical model indicated that the SC of freshwater streams was likely to be very low. Also, there was an insufficient range in the SC data to accurately derive a criterion using the 2011, US Environmental Protection Agency field-based extirpation concentration distribution method. Instead, background and a regression model was used to estimate chronic and acute SC levels that could extirpate 5% of benthic invertebrate genera. Background SC was estimated at the 25th centile (33μS/cm) of the measured data and used as the independent variable in a least squares empirical background-to-criteria (B-C) model. Because no comparison could be made with effect levels estimated from a paired SC and biological data set from the Cascades, the lower 50% prediction limit (PL) was identified as an example chronic water quality criterion (97μS/cm). The maximum exposure threshold was estimated at the 90th centile SC of streams meeting the chronic SC level. The example acute SC level was 190μS/cm. Because paired aquatic life and SC data are often sparse, the B-C method is useful for developing SC criteria for other systems with limited data.
全球范围内溪流盐度浓度不断增加,导致淡水资源日益匮乏。制定具有低比电导率(specific conductivity,SC)的淡水阈值,可能有助于保护优质淡水资源。这些优质水资源是水生生物的避难所,也能稀释下游的水质。本案例演示了如何估算低 SC 溪流的保护水平。美国太平洋西北地区的喀斯喀特山脉(Cascades)被选为案例研究区域,因为地球物理模型表明,该地区溪流的 SC 可能非常低。此外,由于 SC 数据的范围有限,无法使用 2011 年美国环保署(US Environmental Protection Agency)基于实地的灭绝浓度分布方法准确推导出标准。因此,本研究使用背景值和回归模型来估算可能使 5%底栖无脊椎动物属灭绝的慢性和急性 SC 水平。背景值 SC 由实测数据的第 25 百分位数(33μS/cm)估计,并作为最小二乘经验背景-标准(B-C)模型的自变量。由于无法将喀斯喀特山脉的 SC 与生物数据进行比较,因此确定下限 50%预测限(PL)作为慢性水质标准(97μS/cm)的示例。最大暴露阈值估计为符合慢性 SC 水平的溪流的第 90 百分位数 SC。急性 SC 水平的示例值为 190μS/cm。由于水生生物和 SC 的配对数据通常较为稀疏,因此 B-C 方法对于其他数据有限的系统制定 SC 标准非常有用。