A linked simulation-optimization model for solving the unknown groundwater pollution source identification problems
A linked simulation-optimization model for solving the unknown groundwater pollution source identification problems
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DOI：
10.1016/j.jconhyd.2010.06.004
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发表时间：
2010-09-20
影响因子：
3.6
通讯作者：
Ayvaz, M. Tamer
中科院分区：
文献类型：
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作者：
Ayvaz, M. Tamer
针对地下水污染源识别问题，提出了一种模拟-优化联动模型。在所提出的模型中，MODFLOW和MT3DMS软件包被用来模拟在地下水系统中的流动和传输过程。然后将这些模型与基于启发式和声搜索（HS）算法的优化模型相结合。在模拟优化模型中，污染源的位置和排放历史被视为显式的决策变量，并通过优化模型确定。此外，一个隐式的解决方案，提出了确定最佳数量的污染源，这是一个优势，该模型。所提出的模型的性能进行评估的两个假设的例子，简单和复杂的含水层的几何形状，测量误差的条件下，和不同的HS解决方案参数集。识别结果表明，该模型是一种有效的方法，可用于解决反污染源识别问题。(c)2010爱思唯尔有限公司版权所有。
This study proposes a linked simulation-optimization model for solving the unknown groundwater pollution source identification problems. In the proposed model, MODFLOW and MT3DMS packages are used to simulate the flow and transport processes in the groundwater system. These models are then integrated with an optimization model which is based on the heuristic harmony search (HS) algorithm. In the proposed simulation-optimization model, the locations and release histories of the pollution sources are treated as the explicit decision variables and determined through the optimization model. Also, an implicit solution procedure is proposed to determine the optimum number of pollution sources which is an advantage of this model. The performance of the proposed model is evaluated on two hypothetical examples for simple and complex aquifer geometries, measurement error conditions, and different HS solution parameter sets. Identified results indicated that the proposed simulation-optimization model is an effective way and may be used to solve the inverse pollution source identification problems. (c) 2010 Elsevier B.V. All rights reserved.