CN-121617514-B - Surface water tracing and quantifying method with water quality concentration and chemical composition characteristics fused

CN121617514BCN 121617514 BCN121617514 BCN 121617514BCN-121617514-B

Abstract

The invention relates to the field of tracing quantification, and discloses a surface water tracing quantification method with water quality concentration and chemical composition characteristics fused, which is used for providing a more accurate technical means for surface water tracing. The method comprises the steps of screening chemical characteristic indexes, constructing a pollution source chemical characteristic matrix after water sample analysis is collected, calculating variation degree of each index, generating a dynamic weight vector, and inputting the dynamic weight vector and a receptor water sample vector into a non-negative constraint optimization model to obtain a preliminary contribution proportion. And (3) carrying out repeated iterative solution by introducing random disturbance, and outputting a quantitative tracing result after statistical analysis. And the result is subjected to compliance judgment, and suspicious pollution sources are identified. And generating a key monitoring list based on the tracing result, optimizing a monitoring scheme, and updating the tracing result. The invention combines multidimensional characteristics, considers uncertainty, forms closed-loop management, can accurately trace the source of surface water pollution, and provides basis for environmental management.

Inventors

CHEN XINQI
ZHOU YUAN
XUE ZONGPU
JIANG XIAO
HU JING
BAI SONG

Assignees

江苏省南京环境监测中心

Dates

Publication Date: 20260505
Application Date: 20260130

Claims (8)

1. The surface water tracing and quantifying method with the water quality concentration and chemical composition characteristics fused is characterized by comprising the following steps: Based on chemical analysis of the surface water sample of each potential pollution source and target receptor, converting the measured concentrations of various chemical characteristic indexes into relative concentrations, and constructing a pollution source chemical characteristic matrix; Calculating the variation degree of each chemical characteristic index among different pollution sources based on the pollution source chemical characteristic matrix, and generating a dynamic weight vector according to the variation degree; Inputting the pollution source chemical characteristic matrix, the standardized chemical characteristic vector of the receptor water sample and the dynamic weight vector into a preset non-negative constraint optimization model to obtain a preliminary contribution proportion of each pollution source, wherein the proportion minimizes the overall deviation between the weighted chemical characteristic of each pollution source and the receptor chemical characteristic, and the method comprises the following steps: constructing an objective function form based on the pollution source chemical feature matrix and the dynamic weight vector; setting constraint conditions, namely requiring the contribution proportion of all pollution sources to be non-negative and the sum of all contribution proportions to be one, so as to form a constraint condition parameter set; solving the objective function form under the constraint condition parameter set to obtain an initial contribution proportion vector; Processing the initial contribution proportion vector to generate a contribution proportion set of each pollution source; after generating the preliminary set of pollution source contribution ratios satisfying the ratio-sum requirement, further comprising: the preliminary contribution proportion set of each pollution source is replaced to a chemical mass balance equation set, and absolute difference values between predicted values and measured values corresponding to each chemical characteristic index are calculated to generate mass balance residual error vectors; Based on a preset allowable error range, carrying out compliance judgment on each residual error value in the mass balance residual error vector to generate a balance state mark set of each index; If the indexes are marked as non-compliance, identifying and generating a suspicious pollution source list according to the weight coefficient in the dynamic weight vector corresponding to the non-compliance indexes, and prompting feature data of the pollution sources in the list to carry out rechecking or supplementary sampling analysis; and introducing random disturbance in a preset range to the pollution source chemical feature matrix and the standardized chemical feature vector of the acceptor water sample, carrying out repeated iterative solution, carrying out statistical analysis on the contribution ratio of each preliminary pollution source, and outputting a quantitative tracing result.
2. The method for traceably quantifying surface water with water quality concentration and chemical composition characteristics fused according to claim 1, comprising the following steps: Screening a group of chemical characteristic indexes comprising an ion concentration ratio, a stable isotope ratio and a characteristic organic matter component ratio to form a characteristic index set for traceability analysis; Collecting water samples of each potential pollution source and target receptor according to the characteristic index set, and carrying out chemical analysis to obtain an original concentration data table of each water sample under each index; processing the original concentration data table to generate a chemical analysis data set; And dividing the index concentration of each pollution source water sample by the sum of the concentrations of all the pollution sources on the index according to the chemical analysis data set, converting the absolute concentration into the relative concentration representing the relative abundance of the absolute concentration on the index, and collecting the relative concentration data of all the pollution sources to construct a pollution source chemical characteristic matrix.
3. The method for traceably quantifying surface water with water quality concentration and chemical composition characteristics fused according to claim 2, comprising the following steps: Calculating the discrete degree measure of the numerical value of each chemical characteristic index among the pollution sources based on the pollution source chemical characteristic matrix respectively to obtain a numerical value set comprising the variation degree of each index; Dividing each value in the numerical value set of the variation degree of each index by the sum of all the numerical values of the set, and converting the variation degree of each index into a relative importance coefficient; And collecting the relative importance coefficients corresponding to all the chemical characteristic indexes, and arranging the relative importance coefficients according to the index sequence to generate a dynamic weight vector.
4. The method for traceability and quantification of surface water with fusion of water quality concentration and chemical composition characteristics according to claim 3, wherein before the collecting of the relative importance coefficients corresponding to all the chemical characteristic indexes, the relative importance coefficients are arranged according to the index sequence, and a dynamic weight vector is generated, the method further comprises: Inquiring and acquiring stability grade information of each chemical characteristic index in the natural environment migration process based on a preset index stability knowledge base, and generating a stability coefficient set of each index; correcting corresponding values in the numerical value sets of the variation degrees of the indexes according to the values of the indexes in the stability coefficient sets to generate comprehensive variation degree numerical value sets; And processing the comprehensive variation degree numerical value set, converting the comprehensive variation degree numerical value set into a comprehensive importance coefficient of each index, and generating a dynamic weight vector.
5. The surface water tracing and quantifying method based on the fusion of water quality concentration and chemical composition characteristics according to claim 1, wherein in order to solve the contribution ratio x 1 ,x 2 ,x 3 of three pollution sources, a non-negative constraint optimization model is constructed, and an objective function is set For the weighted sum of squares of the deviations: wherein w j is the dynamic weight of the jth index, R j is the observed value of the jth index of the receptor water sample, S ij is the characteristic value of the ith pollution source on the jth index, The pollution source contribution proportion and the constraint condition are set as follows And is also provided with 。
6. The method for traceably quantifying surface water with water quality concentration and chemical composition characteristics fused according to claim 1, comprising the following steps: According to a preset analysis error range, respectively superposing independent random disturbance values on elements in the pollution source chemical characteristic matrix and elements in the standardized chemical characteristic vector of the receptor water sample to generate a plurality of groups of simulated disturbance source matrix and receptor vector; Re-executing a dynamic weight generation and optimization solving process aiming at each group of simulated disturbance source matrix and receptor vector to obtain a pollution source contribution proportion solution corresponding to the dynamic weight generation and optimization solving process, and forming a pollution source contribution proportion solution sequence comprising a plurality of solution samples by repeating the process for a plurality of times; carrying out statistical analysis on the proportional value corresponding to each pollution source in the pollution source contribution proportional solution sequence, calculating a statistical mean value of the proportional value as the final point estimated value of the pollution source contribution rate, and calculating a numerical value interval under the appointed confidence level as a confidence interval; And collecting final estimated values and confidence intervals of all pollution sources to form a quantitative tracing result report.
7. The method for traceably quantifying surface water with water quality concentration and chemical composition characteristics fused according to claim 1, further comprising: Based on the quantitative tracing result report, identifying main pollution sources with the contribution rate to the surface water of the target receptor exceeding a preset threshold value, and generating a key monitoring pollution source list; according to the key monitoring pollution source list, adjusting or optimizing a sampling point layout scheme and monitoring frequency of a surface water environment monitoring network of a target area to form an enhanced monitoring scheme; According to the enhanced monitoring scheme, a new round of heavy point pollution source and receptor water sample collection and analysis are implemented, and an updated chemical analysis data set is obtained; And updating the pollution source chemical characteristic matrix and the receptor chemical characteristic vector by using the updated chemical analysis data set, re-executing the subsequent weight calculation, model solving and uncertainty analysis steps, and outputting an updated quantitative traceability result.
8. The method for traceable quantification of surface water with fusion of water quality concentration and chemical composition characteristics according to claim 7, wherein the method further comprises, after performing a new round of heavy point pollution source and receptor water sample collection and analysis according to the enhanced monitoring scheme, obtaining an updated chemical analysis data set: Calculating the contribution rate variation of each main pollution source based on the updated chemical analysis data set and the key monitoring pollution source list, and generating a pollution contribution variation trend analysis table; According to the pollution contribution change trend analysis table, matching recommended treatment measures in a preset pollution treatment technology library for pollution sources with obviously increased contribution rate to form a pollution source treatment priority and measure suggestion table; guiding an environmental management department to implement engineering or administrative intervention measures on the pollution sources according to the pollution source treatment priority and the measure suggestion list, and recording and forming a pollution control measure implementation log; and comparing the measure post-effect evaluation data set with the updated chemical analysis data set, quantifying the actual effect of the treatment measures on reducing the contribution of the specific pollution sources, and outputting a treatment effect evaluation report.

Description

Surface water tracing and quantifying method with water quality concentration and chemical composition characteristics fused Technical Field The invention relates to the field of traceability and quantification, in particular to a surface water traceability and quantification method with water quality concentration and chemical composition characteristics fused. Background With the rapid development of industrialization and urban treatment, the problem of surface water pollution is increasingly serious, and serious threat is formed to ecological environment and human health. The accurate identification of the surface water pollution source and the contribution proportion thereof is a key precondition for formulating effective pollution prevention and control strategy and improving water quality condition. Traditional surface water tracing methods mainly rely on single water quality concentration analysis or simple chemical composition characteristic comparison, however, the methods face a plurality of challenges in practical application. The pollutant sources in the surface water are wide and complex, the pollutants discharged by different pollution sources have a certain degree of similarity and overlapping in chemical composition and concentration, the contribution of each pollution source is difficult to accurately distinguish and quantify only by means of a single water quality concentration index, a plurality of industrial pollution sources can discharge wastewater containing similar heavy metal ions, and the specific contribution of each pollution source is difficult to accurately judge only by detecting the heavy metal concentration; Chemical composition characteristics, while providing more information about the source of pollution, vary in terms of their stability and variability from chemical index to chemical index in the nature of the process of migration and transformation. When the existing method utilizes chemical composition characteristics to trace the source, the dynamic change characteristics of the indexes are often ignored, the relative importance of each index in reflecting pollution source characteristics is not fully considered, and the accuracy and reliability of the tracing result are affected; In the actual sampling and analysis process, certain errors and fluctuations of the measured data are unavoidable due to various reasons such as instrument errors, interference of environmental factors and the like. The influence of the uncertainty factors on the traceability result cannot be fully considered in the prior art, so that the obtained pollution source contribution ratio lacks enough credibility and convincing power, and the actual requirements of environment management and decision making are difficult to meet. Therefore, we propose a surface water traceability and quantification method with the water quality concentration and chemical composition characteristics fused to solve the above problems. Disclosure of Invention The invention provides a surface water tracing and quantifying method with water quality concentration and chemical composition characteristics fused, which is used for providing a more accurate technical means for surface water tracing. The invention provides a surface water tracing and quantifying method with water quality concentration and chemical composition characteristics fused, which comprises the steps of converting measured various chemical characteristic index concentrations into relative concentrations based on chemical analysis of surface water samples of potential pollution sources and target receptors, constructing a pollution source chemical characteristic matrix, calculating variation degrees of various chemical characteristic indexes among different pollution sources based on the pollution source chemical characteristic matrix, generating dynamic weight vectors according to the variation degrees, inputting the pollution source chemical characteristic matrix, the standardized chemical characteristic vectors of the receptor water samples and the dynamic weight vectors into a preset non-negative constraint optimization model to obtain initial contribution proportion of each pollution source, enabling the overall deviation of the weighted chemical characteristics of each pollution source and the receptor chemical characteristics to be minimum, introducing random disturbance in a preset range to the standardized chemical characteristic matrix of each pollution source and the receptor chemical characteristic vector, carrying out repeated iterative solution, analyzing the initial contribution proportion of each pollution source, and outputting a quantitative tracing result of the water sample. Optionally, in a first implementation manner of the first aspect of the invention, a set of chemical characteristic indexes comprising an ion concentration ratio, a stable isotope ratio and a characteristic organic component ratio are screened to form a characte