CN-121998426-A - New pollutant joint ecological risk assessment method based on webpage data crawling

CN121998426ACN 121998426 ACN121998426 ACN 121998426ACN-121998426-A

Abstract

The invention provides a new pollutant joint ecological risk assessment method based on web page data crawling, which comprises the steps of carrying out data extraction on a plurality of set data source websites by adopting a web crawler program to obtain toxicity parameters and exposure parameters of new pollutants and interaction among the new pollutants, respectively obtaining predicted concentration of each new pollutant, constructing an interaction model of the new pollutants according to the interaction, adopting the interaction model, obtaining joint hazard indexes according to the predicted concentration of the new pollutants with the interaction, respectively calculating monomer hazard indexes according to the predicted concentration and the toxicity parameters of each independent new pollutant, and carrying out weighted summation on the joint hazard indexes and the monomer hazard indexes to obtain the comprehensive ecological risk indexes of the new pollutants. The method and the device can solve the problem of inaccurate ecological risk assessment in the prior art.

Inventors

SUN XIANHONG
LIANG YIXIN
WU XIAONING
WANG JINGWEN
LI NAN
ZHANG PENGJUAN
WU SHUJING

Assignees

郑州工商学院

Dates

Publication Date: 20260508
Application Date: 20260127

Claims (8)

1. The new pollutant joint ecological risk assessment method based on webpage data crawling is characterized by comprising the following steps of: extracting data from a plurality of set data source websites by adopting a web crawler program to obtain environmental monitoring data, emission sources and toxicology research data of a plurality of new pollutants; obtaining toxicity parameters and exposure parameters of corresponding new pollutants according to each toxicology research data and interaction among a plurality of new pollutants; Obtaining the predicted concentration of each new pollutant according to the emission source, the environmental monitoring data and the exposure parameters of each new pollutant; constructing an interaction model of the new pollutants according to the interaction, and acquiring a joint hazard index according to the predicted concentration of the new pollutants with the interaction by adopting the interaction model; And calculating the monomer hazard indexes of each independent new pollutant according to the predicted concentration and toxicity parameters of the independent new pollutant, and carrying out weighted summation on the combined hazard indexes and a plurality of monomer hazard indexes to obtain the comprehensive ecological risk indexes of the new pollutant.
2. The method of claim 1, further comprising, prior to the step of deriving toxicity and exposure parameters for the corresponding new contaminant based on each of the toxicology study data, respectively: And performing data cleaning on the environment monitoring data and the toxicology study data, and normalizing and integrating the environment monitoring data and the toxicology study data in a set dimension.
3. The method of claim 2, wherein the step of data cleansing the environmental monitoring data and toxicology study data comprises: respectively judging whether toxicology research data of each new pollutant have conflicts or not; If so, a priority of the toxicology study data is obtained and the new contaminant toxicology study data is determined based on the priority.
4. The method of claim 1, wherein the step of obtaining the predicted concentration of each new contaminant based on the emission source, the environmental monitoring data, and the exposure parameters of each new contaminant, respectively, comprises: And respectively constructing a hazard prediction model of the corresponding new pollutants according to each exposure parameter, respectively adopting each hazard prediction model, and acquiring the predicted concentration of each new pollutant according to the corresponding emission source and environment monitoring data.
5. The method of claim 1, wherein the step of constructing an interaction model of the new contaminant based on the interactions comprises: Constructing an antagonistic sub-model according to the new pollutants with mutual antagonism, constructing a synergistic sub-model according to the new pollutants with mutual synergy, and fusing the antagonistic sub-model and the synergistic sub-model to obtain the interaction model.
6. The new contaminant joint ecological risk assessment method of claim 1, further comprising, prior to the step of weighted summing the joint hazard index and a plurality of the monomer hazard indices: And obtaining the relevance between the joint hazard index and each monomer hazard index and the comprehensive ecological risk index, and obtaining the weight value of the joint hazard index and each monomer hazard index according to the relevance.
7. The method of claim 1, further comprising, after the step of weighting and summing the joint hazard index and the plurality of monomer hazard indices to obtain a composite ecological risk index for the new contaminant: acquiring a historical comprehensive ecological risk index of the new pollutant, and determining an ecological risk change rate of the new pollutant according to the historical comprehensive ecological risk index; judging whether the ecological risk change rate is larger than a set change rate threshold value or not; If so, acquiring the historical monomer hazard index of each new pollutant, and generating an ecological optimization strategy according to the historical monomer hazard index and the emission source of each new pollutant.
8. The method of claim 1, further comprising, after the step of weighting and summing the joint hazard index and the plurality of monomer hazard indices to obtain a composite ecological risk index for the new contaminant: Acquiring a historical comprehensive ecological risk index of the new pollutants, a historical monomer hazard index of each new pollutant and a plurality of historical combined hazard indexes of the new pollutants; and constructing an ecological risk index change chart according to the historical comprehensive ecological risk index, the historical monomer hazard index and the historical combined hazard index.

Description

New pollutant joint ecological risk assessment method based on webpage data crawling Technical Field The invention relates to the technical field of ecological risk assessment, in particular to a new pollutant combined ecological risk assessment method based on web crawling. Background New pollutants are chemical substances or objects which are not widely known or studied in environmental science research, but have potential environmental risks, and can be from industrial emission, good agricultural activities, urban domestic sewage and byproducts generated in natural processes, so that serious threat is formed to an ecological system and human health, and environmental pollution events such as water eutrophication, soil pollution and the like can be caused. In the prior art, the method for evaluating the damage of the new pollutants to the ecological environment is used for evaluating the damage of one new pollutant, and the mutual influence among different new pollutants is not considered, so that the ecological risk cannot be accurately and comprehensively evaluated. Disclosure of Invention The invention provides a new pollutant combined ecological risk assessment method based on web crawling, which can combine a plurality of new pollutants to assess ecological risks and solve the problem of inaccurate ecological risk assessment in the prior art. Specifically, the invention provides a new pollutant joint ecological risk assessment method based on webpage data crawling, which comprises the following steps: extracting data from a plurality of set data source websites by adopting a web crawler program to obtain environmental monitoring data, emission sources and toxicology research data of a plurality of new pollutants; obtaining toxicity parameters and exposure parameters of corresponding new pollutants according to each toxicology research data and interaction among a plurality of new pollutants; Obtaining predicted concentration of each new pollutant according to emission source, environment monitoring data and exposure parameters of each new pollutant, and predicting a monomer hazard index of each new pollutant according to the predicted concentration and toxicity parameters of each new pollutant; constructing an interaction model of the new pollutants according to the interaction, and acquiring a joint hazard index of a plurality of the new pollutants according to the predicted concentration of each new pollutant by adopting the interaction model; And carrying out weighted summation on the combined hazard index and the monomer hazard indexes to obtain the comprehensive ecological risk index of the new pollutant. Further, before the step of obtaining toxicity parameters and exposure parameters of the corresponding new contaminant according to each toxicology study data, the method further comprises: And performing data cleaning on the environment monitoring data and the toxicology study data, and normalizing and integrating the environment monitoring data and the toxicology study data in a set dimension. Further, the step of data cleansing the environmental monitoring data and toxicology study data comprises: respectively judging whether toxicology research data of each new pollutant have conflicts or not; If so, a priority of the toxicology study data is obtained and the new contaminant toxicology study data is determined based on the priority. Further, the step of obtaining a predicted concentration of each new contaminant according to the emission source, the environmental monitoring data and the exposure parameters of each new contaminant, respectively, includes: And respectively constructing a hazard prediction model of the corresponding new pollutants according to each exposure parameter, respectively adopting each hazard prediction model, and acquiring the predicted concentration of each new pollutant according to the corresponding emission source and environment monitoring data. Further, the step of constructing an interaction model of the new contaminant based on the interactions, comprises: Constructing an antagonistic sub-model according to the new pollutants with mutual antagonism, constructing a synergistic sub-model according to the new pollutants with mutual synergy, and fusing the antagonistic sub-model and the synergistic sub-model to obtain the interaction model. Further, before the step of weighted summing the joint hazard index and the plurality of monomer hazard indices, further comprising: And obtaining the relevance between the joint hazard index and each monomer hazard index and the comprehensive ecological risk index, and obtaining the weight value of the joint hazard index and each monomer hazard index according to the relevance. Further, after the step of weighted summing the joint hazard index and the plurality of monomer hazard indexes to obtain a composite ecological risk index for the new contaminant, the method further comprises: acquiring a historical comprehensive ecolo