Liu Zhihong, Li Xiaojun, Tai Peidong, Sun Lizong, Yuan Honghong, Yang Xiaonan
Key Laboratory of Pollution Ecology and Environmental Engineering, Shenyang Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China.
Key Laboratory of Pollution Ecology and Environmental Engineering, Shenyang Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China.
Ecotoxicol Environ Saf. 2018 Jan;147:656-663. doi: 10.1016/j.ecoenv.2017.09.008. Epub 2017 Oct 10.
Water quality criteria (WQC) are considered to be an effective management tool for protecting aquatic environments. To derive site-specific WQC for an area, local data based on local species are essential to improve the applicability of WQC derived. Due to the paucity of local fish data available for the development of site-specific WQC for the Liao River, China, four local and widespread fishes (Pseudorasbora parva, Abbottina liaoningensis, Ctenogobius giurinus, and Misgurnus anguillicaudatus) were chosen to test their sensitivities to ammonia, cadmium and nitrobenzene. These compounds are common and regularly-measured pollutants in Chinese rivers. In addition to the published data for species resident in the Liao River, site-specific WQC for the three chemicals were derived using both a log-logistic species sensitivity distribution (SSD) and the method recommended by the USEPA, in line with current best practice, which were then compared with Chinese national WQC. It was found that A. liaoningensis was the most sensitive, followed, in order, by P. parva, C. giurinus and M. anguillicaudatus was the least sensitive, and this trend was the same to all three chemicals tested. When comparing the SSD derived solely from previously-published data with that including our data on local fish, there were significant differences identified among parameters describing the SSD curves for ammonia and nitrobenzene and significant differences were detected for site-specific WQC derived for all of the three chemicals. Based on the dataset with local fish data taxa, site-specific WQC of Liao River for ammonia, cadmium, and nitrobenzene were derived to be 20.53mg/L (at a pH of 7.0 and temperature of 20°C), 3.76μg/L (at a hardness of 100mg/L CaCO), and 0.49mg/L, respectively. Using the same deriving method for each chemical, the national Chinese WQC were higher than site-specific WQC derived in this study for ammonia (national WQC of 25.16mg/L) and nitrobenzene (national WQC of 0.57mg/L), while the national WQC for cadmium was lower (national WQC of 1.81μg/L). These results indicated that published data can be helpful for use when deriving site-specific WQC but that there were differences between site-specific and national WQC which may lead to either over- or under-protection depending on the pollutant if national WQC were used as the basis for the water management of specific river systems, like the Liao River.
水质标准(WQC)被认为是保护水生环境的有效管理工具。为得出某一地区特定地点的水质标准,基于当地物种的本地数据对于提高所推导水质标准的适用性至关重要。由于在中国辽河流域缺乏用于制定特定地点水质标准的本地鱼类数据,因此选择了四种本地常见鱼类(麦穗鱼、辽宁棒花鱼、子陵吻鰕虎鱼和泥鳅)来测试它们对氨、镉和硝基苯的敏感性。这些化合物是中国河流中常见且定期监测的污染物。除了已发表的辽河流域常驻物种数据外,根据当前最佳实践,使用对数逻辑斯蒂物种敏感度分布(SSD)和美国环境保护局推荐的方法得出了这三种化学品的特定地点水质标准,然后将其与中国国家水质标准进行比较。结果发现,辽宁棒花鱼最敏感,其次依次是麦穗鱼、子陵吻鰕虎鱼,泥鳅最不敏感,且这一趋势对于所测试的三种化学品均相同。当将仅根据先前发表的数据得出的SSD与包含我们关于本地鱼类数据的SSD进行比较时,发现描述氨和硝基苯SSD曲线的参数之间存在显著差异,并且对于所推导的这三种化学品的特定地点水质标准也检测到了显著差异。基于包含本地鱼类数据分类群的数据集,得出辽河流域氨、镉和硝基苯的特定地点水质标准分别为20.53mg/L(pH值为7.0,温度为20°C时)、3.76μg/L(硬度为100mg/L碳酸钙时)和0.49mg/L。使用相同的每种化学品推导方法,中国国家水质标准对于氨(国家水质标准为25.16mg/L)和硝基苯(国家水质标准为0.57mg/L)高于本研究中推导的特定地点水质标准,而镉的国家水质标准较低(国家水质标准为1.81μg/L)。这些结果表明,已发表的数据在推导特定地点水质标准时可能会有所帮助,但特定地点水质标准与国家水质标准之间存在差异,如果将国家水质标准用作像辽河这样特定河流系统的水管理基础,可能会导致根据污染物不同出现过度保护或保护不足的情况。