Other

Chinese Academy of Sciences

Yingchen Bai

Fengchang Wu

Haiqing Liao

Ying Wang

Xiaoli Zhao

Zhiyou Fu

Wenjing Guo

Huixian Li

Lulu Chen

Yunsong Mu

Chenglian Feng

A method for determining ecological risk, particularly a method for the ecological risk assessment of a heavy metal in a river basin sediment based on a toxicity effect. The assessment method includes screening the main aquatic organisms in a river basin; sampling a sediment, and determining and detecting the heavy metal type; measuring the concentration of the heavy metal in the sediment; collecting the heavy metal release coefficient; collecting the heavy metal toxicity data and fitting the data; determining the heavy metal HCvalue according to a fitting equation; calculating the heavy metal toxicity response coefficient; calculating the ecological risk index of the heavy metal. This method can further include calculating the comprehensive ecological risk index of various types of heavy metals. The method can accurately reflect the ecological risk of a heavy metal on aquatic organisms in a river basin.

Method for ecological risk assessment of heavy metal in river basin sediment based on toxicity effect

The present invention relates to a fresh water acute criteria prediction method based on a quantitative structure-activity relationship for metals. An unknown toxic endpoint of a metal is predicted according to a quantitative relationship between structural characteristics of heavy metal ions and acute toxicity effects of aquatic organisms, and hazard concentrations for protecting the aquatic organisms of different proportions are derived from sensitivity distribution analysis on different species. The fresh water acute criteria prediction method is a method for establishing a metal toxicity predictive model by integrating physicochemical structural parameters of heavy metals and toxic mechanisms of different aquatic organisms and applying the metal toxicity predictive model to prediction of an unknown criteria reference value.

Fresh water acute criteria prediction method based on quantitative structure-activity relationship for metals

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Beijing, China

Yingchen Bai