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种间关系预测(ICE)模型在水质基准研究中的应用
引用本文:冯承莲,付卫强,Dyer Scott,樊明,吴丰昌.种间关系预测(ICE)模型在水质基准研究中的应用[J].生态毒理学报,2015,10(1):81-87.
作者姓名:冯承莲  付卫强  Dyer Scott  樊明  吴丰昌
作者单位:1. 中国环境科学研究院环境基准与风险评估国家重点实验室,北京,100012;2. 北京铁路电气化学校,北京,102202;3. 宝洁公司,美国俄亥俄州45040
基金项目:环保公益性行业科研专项(201409037);环保公益性行业科研专项(201309060)
摘    要:水质基准研究主要是基于物种的实验室测试的毒性数据开展的。对于一些毒性数据相对缺乏的化学品,水质基准研究就会受到一定的影响。本文从水质基准研究方法的角度,阐述了种间关系预测(ICE)的基本原理和基本方法,系统介绍了ICE模型的毒性预测方法在水质基准研究中的应用,并通过锌的ICE案例研究证明了模型在中国的可利用性。同时,对ICE模型的不确定性和适用性进行了分析。最后,对ICE模型存在的问题和未来的发展方向进行了探索和展望。

关 键 词:  水生生物  种间关系预测(ICE)  水质基准  物种敏感度分布  毒性预测
收稿时间:2014/6/10 0:00:00
修稿时间:2014/8/14 0:00:00

Application of Interspecies Correlation Estimation (ICE) Models in the Study of Water Quality Criteria
Feng Chenglian,Fu Weiqiang,Dyer Scott,Fan Ming and Wu Fengchang.Application of Interspecies Correlation Estimation (ICE) Models in the Study of Water Quality Criteria[J].Asian Journal of Ecotoxicology,2015,10(1):81-87.
Authors:Feng Chenglian  Fu Weiqiang  Dyer Scott  Fan Ming and Wu Fengchang
Institution:State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China;Beijing Railway Electrification College, Beijing 102202, China;The Procter & Gamble Company, Ohio 45040, United States;The Procter & Gamble Company, Ohio 45040, United States;State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
Abstract:Water quality criteria study is mainly based on the experimental toxicity data of species. For the chemicals that have few or incomplete toxicity data, the water quality criteria study will be negatively affected. This paper introduced rationale and methodology of interspecies correlation estimation (ICE) models from the angle of the water quality criteria methods. And their application in deriving water quality criteria was comprehensively analyzed. The case study of zinc proved the applicability of ICE in deriving water quality criteria for China. In addition, the uncertainty and the applicability of the ICE model were analyzed. Finally, the development of ICE models and their potential use for assessing water quality were also explored in future.
Keywords:zinc  aquatic life  interspecies correlation estimation (ICE)  water quality criteria  species sensitivity distributions (SSD)  toxicity prediction
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