Review: Simulation-optimization models for the management and monitoring of coastal aquifers
Review: Simulation-optimization models for the management and monitoring of coastal aquifers
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DOI：
10.1007/s10040-015-1272-z
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发表时间：
2015-06
影响因子：
2.8
通讯作者：
J. Sreekanth;B. Datta
中科院分区：
文献类型：
--
作者：
J. Sreekanth;B. Datta
The literature on the application of simulation-optimization approaches for management and monitoring of coastal aquifers is reviewed. Both sharp-and dispersive-interface modeling approaches have been applied in conjunction with optimization algorithms in the past to develop management solutions for saltwater intrusion. Simulation-optimization models based on sharp-interface approximation are often based on the Ghyben-Herzberg relationship and provide an efcient framework for preliminary designs of saltwater-intrusion management schemes. Models based on dispersive-interface numerical models have wider applicability but are challenged by the computational burden involved when applied in the simulation-optimization framework. The use of surrogate models to substitute the physically based model during optimization has been found to be successful in many cases. Scalability is still a challenge for the surrogate modeling approach as the computational advantage accrued is traded-off with the training time required for the surrogate models as the problem size increases. Few studies have attempted to solve stochastic coastal-aquifer management problems considering model prediction uncertainty. Approaches that have been reported in the wider groundwater management literature need to be extended and adapted to address the challenges
