U.S. Environmental Protection Agency, Office of Research and Development, National Center for Environmental Assessment, 26 Martin Luther King Dr. W, Cincinnati, OH 45268, USA.
Tetra Tech, 10711 Red Run Blvd., Suite 105, Owings Mills, MD 21117, USA.
Sci Total Environ. 2018 Aug 15;633:1647-1656. doi: 10.1016/j.scitotenv.2018.01.137. Epub 2018 Feb 1.
Field-based methods increase relevance and realism when setting water quality criteria. They also pose challenges. To enable a consistent process, a flow chart was developed for choosing between two field-based methods and then selecting among candidate results. The two field-based methods estimated specific conductivity (SC) levels likely to extirpate 5% of benthic invertebrate genera: an extirpation concentration distribution (XCD) method and a background-to-criterion (B-C) model developed by the U.S. Environmental Protection Agency. The B-C model is a least squares regression of the 5th centile of XCD (XCD) values against estimates of background SC. Selection of an XCD from the flowchart is determined by characteristics of the paired chemical and biological data sets and method for estimating the XCD values. Confidence in these example SC XCD values is based on the size of the data sets and ecoregional SC disturbance. The level of ecoregional SC disturbance was judged by comparing the background SC (the 25th centile of the data set used to calculate a XCD) and an estimate of natural base-flow SC modeled from geophysical attributes in the region. The B-C approach appears to be a viable option for estimating a SC benchmark with inexpensive estimates of SC background while the XCD method is used when the data are abundant. To illustrate the use of the flow chart, example SC XCD values were calculated for 63 of 86 Level III ecoregions in the conterminous United States of America.
基于现场的方法在设定水质标准时增加了相关性和现实性。它们也带来了挑战。为了实现一个一致的过程,开发了一个流程图,用于在两种基于现场的方法之间进行选择,然后在候选结果中进行选择。这两种基于现场的方法估计了特定电导率(SC)水平,这些水平可能会消灭 5%的底栖无脊椎动物属:灭绝浓度分布(XCD)方法和美国环境保护署开发的背景-标准(B-C)模型。B-C 模型是 XCD(XCD)值的第 5 百分位数与背景 SC 估计值的最小二乘回归。从流程图中选择 XCD 取决于配对的化学和生物数据集的特征以及估计 XCD 值的方法。这些示例 SC XCD 值的置信度基于数据集的大小和生态区域 SC 干扰程度。生态区域 SC 干扰程度是通过比较背景 SC(用于计算 XCD 的数据集的第 25 百分位数)和从该区域地球物理属性建模的自然基流 SC 的估计值来判断的。B-C 方法似乎是一种可行的选择,可在使用 SC 背景的廉价估计值来估计 SC 基准值,而当数据丰富时则使用 XCD 方法。为了说明流程图的使用,为美国本土的 86 个三级生态区中的 63 个计算了 SC XCD 值。