{"title":"Application of the Biological Toxicity Effect Ratio (BER) Method for Advancing Water Quality Criteria Derivation.","authors":"Ren Ding, Yinhu Wu, Zitong Liao, Yun Lu, Dongbin Wei, Zhuo Chen, Hongying Hu","doi":"10.1021/acs.est.4c06110","DOIUrl":null,"url":null,"abstract":"<p><p>Water quality criteria (WQC) serve as a scientific foundation for pollutant risk assessment and control in aquatic ecosystems. The development of regionally differentiated WQC tailored to specific regional characteristics has become an emerging trend. However, the current WQC is constrained by a lack of regional species toxicity data. To address these limitations, this study proposes the biological toxicity effect ratio (BER) method, which indirectly reflects the toxicity sensitivity of the overall aquatic ecosystem through the toxicity information on a limited number of species, enabling rapid WQC prediction. Using the established WQC in China and the USA as a case study, we combined mathematical derivation and data validation to evaluate the BER method. Among various species-taxon groups of freshwater organisms, planktonic crustaceans demonstrated the highest predictive accuracy. Our analysis further revealed that species toxicity sensitivity and regional variability jointly influence the prediction accuracy. Regardless of the evaluation indexes, planktonic crustaceans emerged as the most suitable species-taxon group for the BER method. Additionally, the BER method is particularly applicable to pollutants with conserved mechanisms across species. This study systematically explores the feasibility of using the BER method and offers new insights for deriving regionally differentiated WQC.</p>","PeriodicalId":36,"journal":{"name":"环境科学与技术","volume":" ","pages":""},"PeriodicalIF":10.8000,"publicationDate":"2024-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"环境科学与技术","FirstCategoryId":"1","ListUrlMain":"https://doi.org/10.1021/acs.est.4c06110","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
引用次数: 0
Abstract
Water quality criteria (WQC) serve as a scientific foundation for pollutant risk assessment and control in aquatic ecosystems. The development of regionally differentiated WQC tailored to specific regional characteristics has become an emerging trend. However, the current WQC is constrained by a lack of regional species toxicity data. To address these limitations, this study proposes the biological toxicity effect ratio (BER) method, which indirectly reflects the toxicity sensitivity of the overall aquatic ecosystem through the toxicity information on a limited number of species, enabling rapid WQC prediction. Using the established WQC in China and the USA as a case study, we combined mathematical derivation and data validation to evaluate the BER method. Among various species-taxon groups of freshwater organisms, planktonic crustaceans demonstrated the highest predictive accuracy. Our analysis further revealed that species toxicity sensitivity and regional variability jointly influence the prediction accuracy. Regardless of the evaluation indexes, planktonic crustaceans emerged as the most suitable species-taxon group for the BER method. Additionally, the BER method is particularly applicable to pollutants with conserved mechanisms across species. This study systematically explores the feasibility of using the BER method and offers new insights for deriving regionally differentiated WQC.
水质标准(WQC)是水生生态系统中污染物风险评估和控制的科学基础。根据特定区域的特点制定区域差异化水质标准已成为一种新兴趋势。然而,由于缺乏区域物种毒性数据,目前的 WQC 受到了限制。针对这些局限性,本研究提出了生物毒性效应比(BER)方法,通过有限物种的毒性信息间接反映整个水生生态系统的毒性敏感性,从而实现快速的水质控制预测。我们以中国和美国已建立的WQC为案例,结合数学推导和数据验证对BER方法进行了评估。在淡水生物的不同物种-类群中,浮游甲壳类的预测精度最高。我们的分析进一步揭示了物种毒性敏感性和区域变异性对预测准确性的共同影响。无论采用哪种评价指标,浮游甲壳类都是最适合采用 BER 方法的物种-类群。此外,BER 方法尤其适用于不同物种间机制一致的污染物。本研究系统地探讨了使用 BER 法的可行性,并为得出区域差异化 WQC 提供了新的见解。
期刊介绍:
Environmental Science & Technology (ES&T) is a co-sponsored academic and technical magazine by the Hubei Provincial Environmental Protection Bureau and the Hubei Provincial Academy of Environmental Sciences.
Environmental Science & Technology (ES&T) holds the status of Chinese core journals, scientific papers source journals of China, Chinese Science Citation Database source journals, and Chinese Academic Journal Comprehensive Evaluation Database source journals. This publication focuses on the academic field of environmental protection, featuring articles related to environmental protection and technical advancements.