Identification of groundwater pollution sources using GA-based linked simulation optimization model
Singh, Raj Mohan, and Datta, Bithin (2006) Identification of groundwater pollution sources using GA-based linked simulation optimization model. Journal of Hydrologic Engineering, 11 (2). pp. 101-109.
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Abstract
The genetic algorithm (GA)–based simulation optimization approach is used for optimal identification of unknown groundwater pollution sources. Simple as well as complex scenarios of multiple unknown groundwater pollution sources are considered. A flow and transport simulation model is externally linked to the GA-based optimization model to simulate the physical processes involved. The simulation model uses potential pollution source characteristics that are evolved by the GA and simulates the resulting concentration measurement values at observation locations. These simulated spatial and temporal pollutant concentration measurement values are used to evaluate the fitness function value of the GA. The main advantage of the proposed methodology is the external linking of the numerical simulation model with the optimization model. This approach makes it feasible to solve the source-identification problems for complex aquifer study areas with multiple unknown pollution sources. The performance of the developed methodology is evaluated for combinations of source characteristics (locations, magnitudes, and release periods), data availability conditions, and concentration measurement error levels.
| Item ID: | 9455 |
|---|---|
| Item Type: | Article (Research - C1) |
| ISSN: | 1943-5584 |
| Keywords: | ground-water pollution; simulation models; optimization; algorithms |
| Date Deposited: | 22 Apr 2010 05:51 |
| FoR Codes: | 09 ENGINEERING > 0907 Environmental Engineering > 090702 Environmental Engineering Modelling @ 50% 09 ENGINEERING > 0905 Civil Engineering > 090509 Water Resources Engineering @ 50% |
| SEO Codes: | 96 ENVIRONMENT > 9606 Environmental and Natural Resource Evaluation > 960604 Environmental Management Systems @ 50% 96 ENVIRONMENT > 9609 Land and Water Management > 960999 Land and Water Management of Environments not elsewhere classified @ 25% 96 ENVIRONMENT > 9605 Ecosystem Assessment and Management > 960506 Ecosystem Assessment and Management of Fresh, Ground and Surface Water Environments @ 25% |
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