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从国家与国际毒性数据推导氨的特定地点水质标准。

Deriving site-specific water quality criteria for ammonia from national versus international toxicity data.

机构信息

Deakin University, School of Life and Environmental Sciences, Centre for Integrative Ecology, Geelong, Australia; Key Laboratory of Pollution Ecology and Environmental Engineering, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China.

Key Laboratory of Pollution Ecology and Environmental Engineering, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China.

出版信息

Ecotoxicol Environ Saf. 2019 Apr 30;171:665-676. doi: 10.1016/j.ecoenv.2018.12.078. Epub 2019 Jan 16.

Abstract

A key question to be asked when developing regional water quality criteria with scarce toxicity data is whether such data need to be locally derived. To address this, ammonia toxicity data from local aquatic species in the Liao River were compared against data from species native and non-native to China, based on comparisons of the overall trends of species sensitivity distributions and derived water quality criteria. Liao River data were acquired by acute and chronic tests using five local freshwater invertebrate species, and then compiled alongside published data from Chinese national guidelines and international literature. Models of best fit using three species sensitivity distribution approaches (log-logistic, log-normal, and Burr III) did not vary markedly (r >0.9), and no specific model provided a best fit across all data sets. The comparisons of the overall trend of species sensitivity distribution curves showed no significant differences at either a national (Chinese native taxa tested in China versus non-native taxa) or regional level (Liao River taxa versus non-Liao River taxa). The comparisons also revealed that the inclusion or exclusions of different ecological groups had little influence on the overall trends of species sensitivity distributions. These findings suggested data on non-local and non-native species, and data from local species tested elsewhere, could be appropriate for guiding the derivation of ammonia water quality criteria for regions such as Liao River. However, caution is needed when using hazardous concentration 5% values in the development of site-specific water quality criteria for a river basin due to the considerable variation observed for ammonia (16.8-56.6 mg/L), although these differences were not statistically significant. Based on the toxicity test evaluation, a preliminary acute value of 10.0 mg/L and chronic value of 1.7 mg/L (at pH of 7.0 and 20 °C) are proposed as site-specific ammonia water quality criteria for the Liao River, China.

摘要

在制定具有稀缺毒性数据的区域性水质标准时,需要提出的一个关键问题是,是否需要从本地获取此类数据。为了解决这个问题,基于物种敏感性分布整体趋势的比较以及推导的水质标准,将来自辽河流域本地水生物种的氨毒性数据与原产于中国和非原产于中国的物种的数据进行了比较。辽河流域的数据是通过使用五种本地淡水无脊椎动物物种进行急性和慢性测试获得的,然后与中国国家指南和国际文献中公布的数据一起进行了编译。使用三种物种敏感性分布方法(对数逻辑、对数正态和 Burr III)的最佳拟合模型没有明显差异(r>0.9),而且没有特定的模型可以在所有数据集上提供最佳拟合。物种敏感性分布曲线整体趋势的比较表明,无论是在国家(在中国测试的中国原产分类群与非原产分类群)还是区域(辽河流域分类群与非辽河流域分类群)层面,都没有显著差异。这些比较还表明,包括或排除不同的生态群对物种敏感性分布的整体趋势影响不大。这些发现表明,对于辽河流域等地区,非本地和非原产物种的数据以及在其他地方测试的本地物种的数据,可用于指导氨水质标准的推导。然而,由于在氨(16.8-56.6 mg/L)方面观察到相当大的差异,在为流域制定特定地点的水质标准时使用危害浓度 5%值时需要谨慎,尽管这些差异在统计学上并不显著。基于毒性测试评估,建议将 10.0 mg/L 的急性值和 1.7 mg/L 的慢性值(在 pH 值为 7.0 和 20°C 时)作为中国辽河流域特定地点的氨水质标准。

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