CN-121978296-A - BAF-BCF (binary automatic coded decimal) difference-based accumulated substance water quality reference correction method

CN121978296ACN 121978296 ACN121978296 ACN 121978296ACN-121978296-A

Abstract

The invention discloses a BAF-BCF (binary-coded decimal) difference-based accumulated substance water quality reference correction method, and belongs to the technical field of environment reference formulation and environment risk management. The method comprises the steps of respectively determining BAF and BCF corresponding to two exposure concentrations of target accumulated pollutants, obtaining a biological concentration factor predicted value and a biological concentration factor predicted value based on a quantitative model, calculating the ratio of the biological concentration factor predicted value to the biological concentration factor predicted value under each aquatic organism nutrition level to obtain a correction factor, and carrying out water quality standard correction according to the correction factor.

Inventors

GENG JINJU
GE LI
YU QINGMIAO

Assignees

重庆大学

Dates

Publication Date: 20260505
Application Date: 20260119

Claims (9)

1. The accumulated substance water quality standard correction method based on BAF-BCF difference is characterized by comprising the following steps: s101, determining a correction factor; determining a first exposure concentration of the target accumulated contaminant in the laboratory water body and a second exposure concentration of the target accumulated contaminant in the field water body, respectively; The method comprises the steps of taking a first exposure concentration and an aquatic organism nutrition level as input and outputting to obtain a biological concentration factor predicted value based on a quantification model, taking a second exposure concentration and the aquatic organism nutrition level as input and outputting to obtain a biological accumulation factor predicted value, wherein the quantification model is used for representing the quantitative relation among the biological concentration factor, the biological accumulation factor and a plurality of factors including the first exposure concentration, the second exposure concentration and the aquatic organism nutrition level; calculating the ratio of the biological accumulation factor predicted value to the biological concentration factor predicted value under each aquatic organism nutrition level to obtain a correction factor corresponding to each aquatic organism nutrition level; s102, correcting a water quality standard; And selecting a corresponding correction factor according to the nutrition level of the aquatic organism to be researched, correcting the laboratory toxicity data through the correction factor, and determining a corrected water quality standard based on the corrected laboratory toxicity data.
2. The method for modifying a cumulative mass water quality benchmark based on BAF-BCF variability of claim 1, wherein said target cumulative contaminant comprises halogenated organic contaminants and organometallic compounds.
3. The method for modifying a cumulative mass water quality benchmark based on BAF-BCF variability of claim 1, wherein said determining a first exposure concentration of a target cumulative contaminant in a laboratory water body and a second exposure concentration of a target cumulative contaminant in a field water body, respectively, comprises: acquiring a plurality of groups of laboratory water phase exposure research data and field environment monitoring research data of the target accumulated pollutants; The first exposure concentration is determined by a statistical measure based on the water exposure concentrations reported in the plurality of sets of laboratory aqueous exposure study data, and the second exposure concentration is determined by a statistical measure based on the water exposure concentrations reported in the plurality of sets of field environmental monitoring study data, wherein the statistical measure takes the form of a median or average.
4. The method for modifying a cumulative mass water quality benchmark based on BAF-BCF variability of claim 1, wherein said plurality of factors further comprises taxonomic information of chemical species type, aquatic habitat type and living beings.
5. The method for modifying a cumulative mass water quality reference based on BAF-BCF variability of claim 1, wherein said quantification model employs a linear mixture effect model.
6. The method for correcting a cumulative substance water quality benchmark based on BAF-BCF variability according to claim 5, wherein the linear mixed effect model is constructed by taking exposure concentration, aquatic organism nutrition level and chemical substance type as fixed effects, taking a classification unit to which a species belongs as random effects, and introducing interaction terms between the exposure concentration and the chemical substance type, and between the aquatic organism nutrition level and the chemical substance type.
7. The method for modifying a cumulative mass water quality reference based on BAF-BCF variability according to claim 1, wherein said quantization model uses a quantile regression model, a bayesian hierarchical model or a machine learning model.
8. The method for correcting the cumulative mass water quality reference based on BAF-BCF variability according to claim 1, wherein the quantitative model is obtained by training a plurality of groups of exposure concentration, aquatic organism nutrition level, corresponding biological concentration factors and biological accumulation factor data in advance.
9. The method for modifying a cumulative mass water quality reference based on BAF-BCF variability of claim 1, wherein the modifying laboratory toxicity data by the modifying factor and determining a modified water quality reference based on the modified laboratory toxicity data comprises: dividing laboratory toxicity end point data of the biological species to be researched by a corresponding correction factor to obtain corrected toxicity data; and taking the corrected toxicity data as input, fitting through a species sensitivity distribution model, and calculating based on a preset protection threshold value to obtain the corrected freshwater aquatic organism water quality standard.

Description

BAF-BCF (binary automatic coded decimal) difference-based accumulated substance water quality reference correction method Technical Field The invention relates to the technical field of environment benchmark formulation and environment risk management, in particular to a cumulative substance water quality benchmark correction method based on BAF-BCF variability. Background Aquatic quality benchmarks (Water Quality Criteria, WQC) are important bases for protecting aquatic organisms in water environment management, and their formulation is usually based on toxicity data obtained under laboratory water phase exposure conditions. However, in real aquatic ecosystems, the route of contaminants into organisms includes not only water exposure, but also various routes involving food intake, sediment contact, and the like. For substances with accumulation properties, they can accumulate and pass through the food chain continuously in the organism, indicating that non-aqueous exposure to the actual environment may be an important or even dominant source of exposure. Thus, existing water quality benchmarks established based only on aqueous phase exposure may underestimate the actual exposure level of accumulated substances in the real ecosystem, thereby affecting effective protection of aquatic organisms to some extent. Biological concentration factors (Bioconcentration Factor, BCF) are commonly used to characterize the biological enrichment of contaminants under laboratory aqueous phase exposure conditions, while biological accumulation factors (Bioaccumulation Factor, BAF) are more reflective of the level of enrichment in real-world multi-pathway exposure scenarios. Both characterize the in vivo threshold concentration of the contaminant under different exposure conditions. Based on this, it is proposed to introduce the bioaccumulation properties under multi-pathway exposure conditions into the benchmark formulation process by analyzing the difference features between BAF and BCF, constructing a nutrient-grade specific BAF/BCF ratio as a correction parameter for the cumulative substance water quality benchmark. By the method, the aquatic organism water quality standard can be converted from single water phase exposure to comprehensive ecological exposure, so that the ecological relevance and risk representation accuracy of the standard are improved, and a practical and operable technical scheme is provided for the environmental management and ecological risk prevention and control of accumulated pollutants. Disclosure of Invention In order to solve the problems, the invention provides a BAF-BCF (binary-coded decimal) difference-based accumulated substance water quality standard correction method for improving the accuracy and ecological correlation of aquatic organism water quality standards. A BAF-BCF difference-based accumulated substance water quality reference correction method comprises the following steps: s101, determining a correction factor; determining a first exposure concentration of the target accumulated contaminant in the laboratory water body and a second exposure concentration of the target accumulated contaminant in the field water body, respectively; The method comprises the steps of taking a first exposure concentration and an aquatic organism nutrition level as input and outputting to obtain a biological concentration factor predicted value based on a quantification model, taking a second exposure concentration and the aquatic organism nutrition level as input and outputting to obtain a biological accumulation factor predicted value, wherein the quantification model is used for representing the quantitative relation among the biological concentration factor, the biological accumulation factor and a plurality of factors including the first exposure concentration, the second exposure concentration and the aquatic organism nutrition level; calculating the ratio of the biological accumulation factor predicted value to the biological concentration factor predicted value under each aquatic organism nutrition level to obtain a correction factor corresponding to each aquatic organism nutrition level; s102, correcting a water quality standard; And selecting a corresponding correction factor according to the nutrition level of the aquatic organism to be researched, correcting the laboratory toxicity data through the correction factor, and determining a corrected water quality standard based on the corrected laboratory toxicity data. The method predicts enrichment differences of different nutrition level organisms in a laboratory and a real environment by constructing a quantitative model, converts BAF/BCF ratio into targeted correction factors, dynamically selects corresponding correction factors according to the nutrition level of a target organism in a benchmark making stage, and calibrates laboratory toxicity data, so that the ecological relevance and risk representation accuracy of a water quality benc