The traceability of sudden water pollution in river canals based on the pollutant diffusion quantification formula
For the problem that the traceability parameters of sudden water pollution are difficult to determine, a fast traceability model based on a simplified mechanistic model coupled with an optimization algorithm is proposed to improve the accuracy of sudden water pollution traceability. In this paper, a...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-07-01
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| Series: | Frontiers in Environmental Science |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fenvs.2023.1134233/full |
| _version_ | 1797779944113176576 |
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| author | Fei Lin Fei Lin Honglei Ren Yuezan Tao Naifeng Zhang Yucheng Li Yucheng Li Rujing Wang Rujing Wang Yimin Hu Yimin Hu |
| author_facet | Fei Lin Fei Lin Honglei Ren Yuezan Tao Naifeng Zhang Yucheng Li Yucheng Li Rujing Wang Rujing Wang Yimin Hu Yimin Hu |
| author_sort | Fei Lin |
| collection | DOAJ |
| description | For the problem that the traceability parameters of sudden water pollution are difficult to determine, a fast traceability model based on a simplified mechanistic model coupled with an optimization algorithm is proposed to improve the accuracy of sudden water pollution traceability. In this paper, according to the diffusion law of pollutants, a quantitative formula of pollutant diffusion is proposed, and the differential calculation process of the pollutant convection equation is optimized. The Dynamic Programming and Beetle Antennae Search algorithm (DP-BAS) with dynamic step size is used in the reverse optimization process, which can avoid the problem of entering the local optimal solution in the calculation process. The DP-BAS is used to inverse solve the quantization equation to realize the decoupling of pollutant traceability parameters, transforming the multi-parameter coupled solution into a single-parameter solution, reducing the solution dimension, and optimizing the difficulty and solution complexity of pollutant traceability. The proposed traceability model is applied to the simulation case, the results show that the mean square errors of pollutant placement mass, location, and time are 2.39, 1.16, and 1.19 percent, respectively. To further verify the model reliability, the Differential Evolution and Markov Chain Monte Carlo simulation method (DE-MCMC) as well as Genetic Algorithms (GA) were introduced to compare with the proposed model to prove that the model has certain reliability and accuracy. |
| first_indexed | 2024-03-12T23:37:44Z |
| format | Article |
| id | doaj.art-71710643359c4990a19212e1523b942f |
| institution | Directory Open Access Journal |
| issn | 2296-665X |
| language | English |
| last_indexed | 2024-03-12T23:37:44Z |
| publishDate | 2023-07-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Environmental Science |
| spelling | doaj.art-71710643359c4990a19212e1523b942f2023-07-15T06:30:08ZengFrontiers Media S.A.Frontiers in Environmental Science2296-665X2023-07-011110.3389/fenvs.2023.11342331134233The traceability of sudden water pollution in river canals based on the pollutant diffusion quantification formulaFei Lin0Fei Lin1Honglei Ren2Yuezan Tao3Naifeng Zhang4Yucheng Li5Yucheng Li6Rujing Wang7Rujing Wang8Yimin Hu9Yimin Hu10Institute of Intelligent Machines, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, ChinaHefei Institutes of Collabrative Innovation for Intelligent Agriculture, Hefei, ChinaCollege of Civil Engineering, Hefei University of Technology, Hefei, ChinaCollege of Civil Engineering, Hefei University of Technology, Hefei, ChinaKey Laboratory of Water Conservancy and Water Resources of Anhui Province, Water Resources Research Institute of Anhui Province and Huai River Water Resources Commission, Ministry of Water Resources, Bengbu, ChinaHefei Institutes of Collabrative Innovation for Intelligent Agriculture, Hefei, ChinaSchool of Resources and Environmental Engineering, Anhui University, Hefei, ChinaInstitute of Intelligent Machines, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, ChinaHefei Institutes of Collabrative Innovation for Intelligent Agriculture, Hefei, ChinaInstitute of Intelligent Machines, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, ChinaHefei Institutes of Collabrative Innovation for Intelligent Agriculture, Hefei, ChinaFor the problem that the traceability parameters of sudden water pollution are difficult to determine, a fast traceability model based on a simplified mechanistic model coupled with an optimization algorithm is proposed to improve the accuracy of sudden water pollution traceability. In this paper, according to the diffusion law of pollutants, a quantitative formula of pollutant diffusion is proposed, and the differential calculation process of the pollutant convection equation is optimized. The Dynamic Programming and Beetle Antennae Search algorithm (DP-BAS) with dynamic step size is used in the reverse optimization process, which can avoid the problem of entering the local optimal solution in the calculation process. The DP-BAS is used to inverse solve the quantization equation to realize the decoupling of pollutant traceability parameters, transforming the multi-parameter coupled solution into a single-parameter solution, reducing the solution dimension, and optimizing the difficulty and solution complexity of pollutant traceability. The proposed traceability model is applied to the simulation case, the results show that the mean square errors of pollutant placement mass, location, and time are 2.39, 1.16, and 1.19 percent, respectively. To further verify the model reliability, the Differential Evolution and Markov Chain Monte Carlo simulation method (DE-MCMC) as well as Genetic Algorithms (GA) were introduced to compare with the proposed model to prove that the model has certain reliability and accuracy.https://www.frontiersin.org/articles/10.3389/fenvs.2023.1134233/fullsudden water pollutionparameter identificationtraceabilityquantitative formulationDP-BASparameter decoupling |
| spellingShingle | Fei Lin Fei Lin Honglei Ren Yuezan Tao Naifeng Zhang Yucheng Li Yucheng Li Rujing Wang Rujing Wang Yimin Hu Yimin Hu The traceability of sudden water pollution in river canals based on the pollutant diffusion quantification formula Frontiers in Environmental Science sudden water pollution parameter identification traceability quantitative formulation DP-BAS parameter decoupling |
| title | The traceability of sudden water pollution in river canals based on the pollutant diffusion quantification formula |
| title_full | The traceability of sudden water pollution in river canals based on the pollutant diffusion quantification formula |
| title_fullStr | The traceability of sudden water pollution in river canals based on the pollutant diffusion quantification formula |
| title_full_unstemmed | The traceability of sudden water pollution in river canals based on the pollutant diffusion quantification formula |
| title_short | The traceability of sudden water pollution in river canals based on the pollutant diffusion quantification formula |
| title_sort | traceability of sudden water pollution in river canals based on the pollutant diffusion quantification formula |
| topic | sudden water pollution parameter identification traceability quantitative formulation DP-BAS parameter decoupling |
| url | https://www.frontiersin.org/articles/10.3389/fenvs.2023.1134233/full |
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