Biological enrichment factor prediction method for formulating water quality standard and risk assessment

Abstract

The invention belongs to the field of ecological risk evaluation test strategies, and particularly relates to a biological enrichment factor prediction method for formulating a water quality standardand risk evaluation. The method comprises the following steps: (1) selecting biological enrichment factor data; (2) selecting alternative species; (3) establishing a biological enrichment factor interspecific relationship model; (4) screening prediction data and the like. Time-consuming and labor-consuming biological experiments can be avoided; the biological enrichment factors of more species canbe predicted through the biological enrichment factors of the known species by chemicals; in particular, the blank of biological enrichment factor data of rare and endangered species is filled; the situation that local species data is extremely short in China at present is improved, the requirement of Chinese water quality standards for biodiversity of biological enrichment factor data is met, research and development of the water quality standards are accelerated, and basic data support can be provided for chemical ecological risk assessment.

Description

technical field [0001] The invention belongs to the field of ecological risk assessment testing strategies, and in particular relates to a biological enrichment factor prediction method for formulating water quality benchmarks and risk assessment. Background technique [0002] Water quality benchmarks are the scientific basis for formulating water quality standards and play a very important role in water environment protection. Ecological risk assessment of chemicals is an important part and scientific support of environmental risk management. It is the key and difficult point in the current environmental management field. It helps environmental management departments understand and predict the relationship between external ecological impact factors and ecological consequences, and ultimately provide Risk management provides decision support. However, at present, the relative scarcity of data on bioconcentration factors (BCF) of chemicals by native species is one of the key...

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Problems solved by technology

However, each QSAR model can only predict the bioaccumulation factors of multiple chemicals by a single species. Since most of the enrichment factor data are concentrated in model organisms, and the establishment of QSAR models needs to be based on a large amount of data, most QSAR models are based on patterns. Biological establishment cannot meet the requirements for species diversity in water quality benchmarks and risk assessment studies

[0004] The lack of bioaccumulation factor data of chemicals is a common problem in water quality benchmarks and chemical ecological risk assessment, especially for some newly synthesized chemicals, the lack of bioaccumulation factors further restricts the development needs of chemical safety management and environmental risk management

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