Model-estimation-based biological toxicity estimation method

Abstract

The invention relates to the field of estimation of toxic substances in environments, and specifically discloses a model-estimation-based biological toxicity estimation method, which comprises the following steps of 1, selecting a surrogate species; 2, performing toxicity estimation to obtain toxicity data of an unknown species by virtue of the surrogate species; 3, screening estimation data. The biological toxicity estimation method is applied to toxicity researches on species, and a water quality criterion deduction case research on zinc laterally proves feasibility in toxicity estimation of a species with an ICE (Interspecies Correction Estimation) model, so that the problem of incapability of accurately deducing a water quality criterion due to insufficient toxicity data of a part of pollutants is solved; damage to an experimental organism is avoided, and environmental pollution is reduced, so that a rapid, simple and environment-friendly biological toxicity research method is provided; under the condition of water quality criterion and risk assessment and the like with a requirement on a large amount of biological toxicity data for analysis, if data of a part of pollutants is insufficient, the toxicity estimation method is more economical and convenient.

Description

Technical field [0001] The invention relates to the field of prediction of toxic substances in the environment, in particular to a method for predicting biological toxicity based on model prediction. Background technique [0002] Pollutant biological toxicity data is generally obtained through experiments, but in many cases, biological toxicity data is difficult to obtain. On the one hand, it is difficult to judge the toxic effect endpoints of some pollutants, especially for some new pollutants. Therefore, toxicity experiments are difficult to carry out and it is impossible to obtain biological toxicity data; on the other hand, considering the needs of animal protection, some rare organisms It has been forbidden to carry out its toxicity experiments, such as rare and endangered organisms, so it is difficult to obtain its biological toxicity data. These scarce biological toxicity data are indispensable in the research of water quality benchmarks and risk assessment. How to carry ...

AI Technical Summary

Problems solved by technology

However, since the built-in data of the model are all biological toxicity data in North America, and do not include local endemic species in China, there are great limitations in application

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