Centre for Ecology and Hydrology, Wallingford, Oxfordshire, United Kingdom.
Environ Toxicol Chem. 2014 Feb;33(2):447-52. doi: 10.1002/etc.2441. Epub 2013 Dec 20.
Dilution factors are a critical component in estimating concentrations of so-called "down-the-drain" chemicals (e.g., pharmaceuticals) in rivers. The present study estimated the temporal and spatial variability of dilution factors around the world using geographically referenced data sets at 0.5° × 0.5° resolution. Domestic wastewater effluents were derived from national per capita domestic water use estimates and gridded population. Monthly and annual river flows were estimated by accumulating runoff estimates using topographically derived flow directions. National statistics, including the median and interquartile range, were generated to quantify dilution factors. Spatial variability of the dilution factor was found to be considerable; for example, there are 4 orders of magnitude in annual median dilution factor between Canada and Morocco. Temporal variability within a country can also be substantial; in India, there are up to 9 orders of magnitude between median monthly dilution factors. These national statistics provide a global picture of the temporal and spatial variability of dilution factors and, hence, of the potential exposure to down-the-drain chemicals. The present methodology has potential for a wide international community (including decision makers and pharmaceutical companies) to assess relative exposure to down-the-drain chemicals released by human pollution in rivers and, thus, target areas of potentially high risk.
稀释因子是估算河流中所谓“随污水流失”化学物质(如药物)浓度的关键组成部分。本研究使用全球范围内 0.5°×0.5°分辨率的地理参考数据集,估算了全球范围内稀释因子的时空变化。国内污水排放来自于人均国内用水量估计和网格化人口数据。利用地形得出的水流方向,累积径流量来估算每月和每年的河川流量。生成全国统计数据,包括中位数和四分位数范围,以量化稀释因子。发现稀释因子的空间变异性相当大;例如,加拿大和摩洛哥之间的年中位数稀释因子相差 4 个数量级。一个国家内部的时间变化也可能很大;在印度,每月中位数稀释因子之间的差距高达 9 个数量级。这些国家统计数据提供了稀释因子时空变化的全球图景,因此也提供了潜在暴露于随污水流失化学物质的情况。该方法具有广泛的国际适用性(包括决策者和制药公司),可用于评估人类污染在河流中释放的随污水流失化学物质的相对暴露程度,从而确定潜在高风险地区。