Inversion of permeability coefficient based on adaptive differential hybrid butterfly particle algorithm
Accurate determination of aquifer hydrological parameters, such as permeability coefficient, is essential for effective mine water hazard prevention and control. However, traditional inversion methods such as the fitting curve method and graphical method exhibit shortcomings in computational speed a...
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| Định dạng: | Bài viết |
| Ngôn ngữ: | Tiếng Trung |
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Editorial Office of Hydrogeology & Engineering Geology
2025-07-01
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| Loạt: | Shuiwen dizhi gongcheng dizhi |
| Những chủ đề: | |
| Truy cập trực tuyến: | https://www.swdzgcdz.com/en/article/doi/10.16030/j.cnki.issn.1000-3665.202412060 |
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| _version_ | 1839625193333456896 |
|---|---|
| author | Zhao YANG Donglin DONG Yuqi CHEN Rong WANG |
| author_facet | Zhao YANG Donglin DONG Yuqi CHEN Rong WANG |
| author_sort | Zhao YANG |
| collection | DOAJ |
| description | Accurate determination of aquifer hydrological parameters, such as permeability coefficient, is essential for effective mine water hazard prevention and control. However, traditional inversion methods such as the fitting curve method and graphical method exhibit shortcomings in computational speed and accuracy. To enhance the reliability of aquifer parameter inversion calculations, this study proposed a novel permeability coefficient inversion model, the adaptive differential hybrid butterfly particle algorithm (ADHBPA), specifically tailored to the characteristics of hydrogeological parameters. The model incorporates Latin hypercube sampling, a hyperbolic cosine adaptive function, differential mutation strategy, and dimension-wise variation strategy. The model effectively addressed the spatial heterogeneity and temporal dynamics inherent in hydrogeological parameter inversion, thereby improving the balance between global exploration and local exploitation. Using the pumping test data from 24 boreholes in the Banji mining area, the ADHBPA model achieved a maximum inversion error of 0.93 m and an average error rate of just 0.15%. In contrast, conventional algorithms produced average error rates ranging from 30% to 50%. These results highlight the algorithm's strong capability in avoiding local optima and performing high-precision parameter inversion, even under data-scarce conditions. The proposed algorithm provides efficient and reliable technical support for mine water hazard risk assessment and water control planning. |
| format | Article |
| id | doaj-art-e2ec14d2ff2f433cbb934998442397e6 |
| institution | Matheson Library |
| issn | 1000-3665 |
| language | zho |
| publishDate | 2025-07-01 |
| publisher | Editorial Office of Hydrogeology & Engineering Geology |
| record_format | Article |
| series | Shuiwen dizhi gongcheng dizhi |
| spelling | doaj-art-e2ec14d2ff2f433cbb934998442397e62025-07-18T03:29:00ZzhoEditorial Office of Hydrogeology & Engineering GeologyShuiwen dizhi gongcheng dizhi1000-36652025-07-0152413414410.16030/j.cnki.issn.1000-3665.202412060202412060Inversion of permeability coefficient based on adaptive differential hybrid butterfly particle algorithmZhao YANG0Donglin DONG1Yuqi CHEN2Rong WANG3Inner Mongolia Research Institute, China University of Mining and Technology （Beijing）, Beijing 100083, ChinaInner Mongolia Research Institute, China University of Mining and Technology （Beijing）, Beijing 100083, ChinaInner Mongolia Research Institute, China University of Mining and Technology （Beijing）, Beijing 100083, ChinaInner Mongolia Research Institute, China University of Mining and Technology （Beijing）, Beijing 100083, ChinaAccurate determination of aquifer hydrological parameters, such as permeability coefficient, is essential for effective mine water hazard prevention and control. However, traditional inversion methods such as the fitting curve method and graphical method exhibit shortcomings in computational speed and accuracy. To enhance the reliability of aquifer parameter inversion calculations, this study proposed a novel permeability coefficient inversion model, the adaptive differential hybrid butterfly particle algorithm (ADHBPA), specifically tailored to the characteristics of hydrogeological parameters. The model incorporates Latin hypercube sampling, a hyperbolic cosine adaptive function, differential mutation strategy, and dimension-wise variation strategy. The model effectively addressed the spatial heterogeneity and temporal dynamics inherent in hydrogeological parameter inversion, thereby improving the balance between global exploration and local exploitation. Using the pumping test data from 24 boreholes in the Banji mining area, the ADHBPA model achieved a maximum inversion error of 0.93 m and an average error rate of just 0.15%. In contrast, conventional algorithms produced average error rates ranging from 30% to 50%. These results highlight the algorithm's strong capability in avoiding local optima and performing high-precision parameter inversion, even under data-scarce conditions. The proposed algorithm provides efficient and reliable technical support for mine water hazard risk assessment and water control planning.https://www.swdzgcdz.com/en/article/doi/10.16030/j.cnki.issn.1000-3665.202412060permeability coefficientdupuit formulalatin hypercube samplingdifferential mutation strategyhyperbolic cosine functionhybrid optimization strategy |
| spellingShingle | Zhao YANG Donglin DONG Yuqi CHEN Rong WANG Inversion of permeability coefficient based on adaptive differential hybrid butterfly particle algorithm Shuiwen dizhi gongcheng dizhi permeability coefficient dupuit formula latin hypercube sampling differential mutation strategy hyperbolic cosine function hybrid optimization strategy |
| title | Inversion of permeability coefficient based on adaptive differential hybrid butterfly particle algorithm |
| title_full | Inversion of permeability coefficient based on adaptive differential hybrid butterfly particle algorithm |
| title_fullStr | Inversion of permeability coefficient based on adaptive differential hybrid butterfly particle algorithm |
| title_full_unstemmed | Inversion of permeability coefficient based on adaptive differential hybrid butterfly particle algorithm |
| title_short | Inversion of permeability coefficient based on adaptive differential hybrid butterfly particle algorithm |
| title_sort | inversion of permeability coefficient based on adaptive differential hybrid butterfly particle algorithm |
| topic | permeability coefficient dupuit formula latin hypercube sampling differential mutation strategy hyperbolic cosine function hybrid optimization strategy |
| url | https://www.swdzgcdz.com/en/article/doi/10.16030/j.cnki.issn.1000-3665.202412060 |
| work_keys_str_mv | AT zhaoyang inversionofpermeabilitycoefficientbasedonadaptivedifferentialhybridbutterflyparticlealgorithm AT donglindong inversionofpermeabilitycoefficientbasedonadaptivedifferentialhybridbutterflyparticlealgorithm AT yuqichen inversionofpermeabilitycoefficientbasedonadaptivedifferentialhybridbutterflyparticlealgorithm AT rongwang inversionofpermeabilitycoefficientbasedonadaptivedifferentialhybridbutterflyparticlealgorithm |