生态与农村环境学报Issue(3)：398-405,8.DOI:10.11934/j.issn.1673-4831.2015.03.020
物种敏感度分布法（SSD）在农药水质基准推导中的应用
Application of Species Sensitivity Distribution (SSD) to Derivation of Water Quality Criteria for Pesticides
摘要
Abstract
Deriving methods play an important role in water quality criteria derivation. Species sensitivity distributions ( SSD) is a common method used to derive water quality criteria in the world. A number of models are available to derive water quality criteria, but not all the models could well fit the toxicity data sets of pesticides. In order to select some mod⁃els that fit with high goodness, 4 typical pesticides were selected in the study to compare the models in goodness of fit. Re⁃sults show that sigmoid, Gaussian,Gompertz and exponential growth were better than the other models in fitting curve tend⁃ency, rationality of HC5 and goodness of fit. Therefore it is suggested that when utilizing SSD to derive criteria for pesti⁃cides, sigmoid, Gaussian, Gompertz and exponential growth should be used to get fitting curves first, and then the most optimal model should be chosen to determine benchmark values for the water quality criteria, so as to ensure scientificity of the derivation of the water quality criteria. The findings can serve as scientific references for selection of derivation methods for formulation of water quality criteria for pesticides.关键词
物种敏感度分布法/农药/水质基准/推导方法Key words
species sensitivity distribution/pesticide/water quality criteria/derivation分类
资源环境引用本文复制引用
梁霞,周军英,李建宏,王香兰,宋宁慧,单正军..物种敏感度分布法（SSD）在农药水质基准推导中的应用[J].生态与农村环境学报,2015,(3):398-405,8.基金项目
环保公益性行业科研专项 （）
