Solving Inverse Problems of Unknown Contaminant Source in Groundwater-River Integrated Systems Using a Surrogate Transport Model Based Optimization
The paper presents a new approach to identify the unknown characteristics (release history and location) of contaminant sources in groundwater, starting from a few concentration observations at monitoring points. An inverse method that combines the forward model and an optimization algorithm is pres...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-08-01
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| Series: | Water |
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| Online Access: | https://www.mdpi.com/2073-4441/12/9/2415 |
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| author | Azade Jamshidi Jamal Mohammad Vali Samani Hossein Mohammad Vali Samani Andrea Zanini Maria Giovanna Tanda Mehdi Mazaheri |
| author_facet | Azade Jamshidi Jamal Mohammad Vali Samani Hossein Mohammad Vali Samani Andrea Zanini Maria Giovanna Tanda Mehdi Mazaheri |
| author_sort | Azade Jamshidi |
| collection | DOAJ |
| description | The paper presents a new approach to identify the unknown characteristics (release history and location) of contaminant sources in groundwater, starting from a few concentration observations at monitoring points. An inverse method that combines the forward model and an optimization algorithm is presented. To speed up the computation, the transfer function theory is applied to create a surrogate transport forward model. The performance of the developed approach is evaluated on two case studies (literature and a new one) under different scenarios and measurement error conditions. The literature case study regards a heterogeneous confined aquifer, while the proposed case study was never investigated before, it involves an aquifer-river integrated flow and transport system. In this case, the groundwater contaminant originated from a damaged tank, migrates to a river through the aquifer. The approach, starting from few concentration observations monitored at a downstream river cross-section, accurately estimates the release history at a groundwater contaminant source, even in presence of noise on observations. Moreover, the results show that the methodology is very fast, and can solve the inverse problem in much less computation time in comparison with other existing approaches. |
| first_indexed | 2024-03-10T16:45:06Z |
| format | Article |
| id | doaj.art-a6aee48a728e4abab92709da4aecd434 |
| institution | Directory Open Access Journal |
| issn | 2073-4441 |
| language | English |
| last_indexed | 2024-03-10T16:45:06Z |
| publishDate | 2020-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Water |
| spelling | doaj.art-a6aee48a728e4abab92709da4aecd4342023-11-20T11:43:01ZengMDPI AGWater2073-44412020-08-01129241510.3390/w12092415Solving Inverse Problems of Unknown Contaminant Source in Groundwater-River Integrated Systems Using a Surrogate Transport Model Based OptimizationAzade Jamshidi0Jamal Mohammad Vali Samani1Hossein Mohammad Vali Samani2Andrea Zanini3Maria Giovanna Tanda4Mehdi Mazaheri5Department of Hydro Structures, Tarbiat Modares University, P.O.Box, Tehran 14115-111, IranDepartment of Hydro Structures, Tarbiat Modares University, P.O.Box, Tehran 14115-111, IranDepartment of Civil Engineering, Islamic Azad University, Shahr-e-Qods Branch, Tehran 3754113115, IranDepartment of Engineering and Architecture, University of Parma, Parco Area delle Scienze 181/A, 43124 Parma, ItalyDepartment of Engineering and Architecture, University of Parma, Parco Area delle Scienze 181/A, 43124 Parma, ItalyDepartment of Hydro Structures, Tarbiat Modares University, P.O.Box, Tehran 14115-111, IranThe paper presents a new approach to identify the unknown characteristics (release history and location) of contaminant sources in groundwater, starting from a few concentration observations at monitoring points. An inverse method that combines the forward model and an optimization algorithm is presented. To speed up the computation, the transfer function theory is applied to create a surrogate transport forward model. The performance of the developed approach is evaluated on two case studies (literature and a new one) under different scenarios and measurement error conditions. The literature case study regards a heterogeneous confined aquifer, while the proposed case study was never investigated before, it involves an aquifer-river integrated flow and transport system. In this case, the groundwater contaminant originated from a damaged tank, migrates to a river through the aquifer. The approach, starting from few concentration observations monitored at a downstream river cross-section, accurately estimates the release history at a groundwater contaminant source, even in presence of noise on observations. Moreover, the results show that the methodology is very fast, and can solve the inverse problem in much less computation time in comparison with other existing approaches.https://www.mdpi.com/2073-4441/12/9/2415aquifer-river integrated systeminverse problemsimulation–optimization approachsurrogate modeltransfer function |
| spellingShingle | Azade Jamshidi Jamal Mohammad Vali Samani Hossein Mohammad Vali Samani Andrea Zanini Maria Giovanna Tanda Mehdi Mazaheri Solving Inverse Problems of Unknown Contaminant Source in Groundwater-River Integrated Systems Using a Surrogate Transport Model Based Optimization Water aquifer-river integrated system inverse problem simulation–optimization approach surrogate model transfer function |
| title | Solving Inverse Problems of Unknown Contaminant Source in Groundwater-River Integrated Systems Using a Surrogate Transport Model Based Optimization |
| title_full | Solving Inverse Problems of Unknown Contaminant Source in Groundwater-River Integrated Systems Using a Surrogate Transport Model Based Optimization |
| title_fullStr | Solving Inverse Problems of Unknown Contaminant Source in Groundwater-River Integrated Systems Using a Surrogate Transport Model Based Optimization |
| title_full_unstemmed | Solving Inverse Problems of Unknown Contaminant Source in Groundwater-River Integrated Systems Using a Surrogate Transport Model Based Optimization |
| title_short | Solving Inverse Problems of Unknown Contaminant Source in Groundwater-River Integrated Systems Using a Surrogate Transport Model Based Optimization |
| title_sort | solving inverse problems of unknown contaminant source in groundwater river integrated systems using a surrogate transport model based optimization |
| topic | aquifer-river integrated system inverse problem simulation–optimization approach surrogate model transfer function |
| url | https://www.mdpi.com/2073-4441/12/9/2415 |
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