scholarly journals Coupled simulation-optimization model for coastal aquifer management using genetic programming-based ensemble surrogate models and multiple-realization optimization

2011 ◽  
Vol 47 (4) ◽  
Author(s):  
J. Sreekanth ◽  
Bithin Datta
Keyword(s):  
Genetic Programming ◽  
Optimization Model ◽  
Coastal Aquifer ◽  
Simulation Optimization ◽  
Surrogate Models ◽  
Multiple Realization ◽  
Coupled Simulation ◽  
Aquifer Management ◽  
Coastal Aquifer Management

scholarly journals Surrogate-based pumping optimization of coastal aquifers under limited computational budgets

2017 ◽  
Vol 20 (1) ◽  
pp. 164-176 ◽  
Author(s):  
Vasileios Christelis ◽  
Rommel G. Regis ◽  
Aristotelis Mantoglou
Keyword(s):  
Coastal Aquifers ◽  
Surrogate Model ◽  
Coastal Aquifer ◽  
Surrogate Models ◽  
Salt Transport ◽  
Direct Optimization ◽  
Aquifer Management ◽  
Pumping Optimization ◽  
Local Improvement ◽  
Coastal Aquifer Management

Abstract The computationally expensive variable density and salt transport numerical models hinder the implementation of simulation-optimization routines for coastal aquifer management. To reduce the computational cost, surrogate models have been utilized in pumping optimization of coastal aquifers. However, it has not been previously addressed whether surrogate modelling is effective given a limited number of numerical simulations with the seawater intrusion model. To that end, two surrogate-based optimization (SBO) frameworks are employed and compared against the direct optimization approach, under restricted computational budgets. The first, a surrogate-assisted algorithm, employs a strategy which aims at a fast local improvement of the surrogate model around optimal values. The other, balances global and local improvement of the surrogate model and is applied for the first time in coastal aquifer management. The performance of the algorithms is investigated for optimization problems of moderate and large dimensionalities. The statistical analysis indicates that for the specified computational budgets, the sample means of the SBO methods are statistically significantly better than those of the direct optimization. Additionally, the selection of cubic radial basis functions as surrogate models, enables the construction of very fast approximations for problems with up to 40 decision variables and 40 constraint functions.

scholarly journals A surrogate-based simulation–optimization approach for coastal aquifer management

2020 ◽  
Vol 20 (8) ◽  
pp. 3404-3418
Author(s):  
Zheng Han ◽  
Wenxi Lu ◽  
Yue Fan ◽  
Jin Lin ◽  
Qian Yuan
Keyword(s):  
Simulation Model ◽  
Groundwater Management ◽  
Optimization Model ◽  
Surrogate Model ◽  
Simulation Optimization ◽  
Surrogate Models ◽  
Variable Density ◽  
Support Vector ◽  
Aquifer Management ◽  
Groundwater Simulation

Abstract This study proposed a pumping-injection (P-I) groundwater management strategy based on a simulation–optimization (S-O) framework to mitigate seawater intrusion (SI). The methodology was applied to a real case in Longkou, China. A three-dimensional variable-density groundwater simulation model was established to simulate and predict the SI process. In the S-O framework, while solving the optimization model, it is required to call the simulation model thousands of times, which leads to enormous computational load. In this case, the Kriging and support vector regression (SVR) surrogate models were established for the simulation model respectively. Furthermore, the ensemble surrogate modeling technique was applied to construct the Kriging-SVR ensemble surrogate model. The most accurate surrogate model was selected as the substitute for the simulation model, saving considerable computing costs. The results show that the ensemble surrogate model performs better than the stand-alone surrogate models in accuracy, indicating that combining stand-alone surrogate models is a potential modeling method for the surrogate model of the variable-density groundwater simulation model. By solving the optimization model, the optimal pumping and injection schemes under different scenarios were obtained. The optimization results demonstrate that the proposed methodology is effective and stable in coastal groundwater management.

State of knowledge of coastal aquifer management in South America

2009 ◽  
Vol 18 (1) ◽  
pp. 261-267 ◽  
Author(s):  
Emilia Bocanegra ◽  
Gerson Cardoso Da Silva ◽  
Emilio Custodio ◽  
Marisol Manzano ◽  
Suzana Montenegro
Keyword(s):  
South America ◽  
Coastal Aquifer ◽  
Aquifer Management ◽  
Coastal Aquifer Management

Managing coastal aquifers in climate and socio-economic change: An indicator-based multi-criteria decision system approach

2021 ◽  
Author(s):  
Tobias Langmann ◽  
Hans Matthias Schöniger ◽  
Anke Schneider ◽  
Michael Sander
Keyword(s):  
Water Management ◽  
Groundwater Recharge ◽  
Coastal Aquifer ◽  
Methodological Approach ◽  
Chloride Concentration ◽  
Northwestern Part ◽  
Groundwater Abstraction ◽  
Coastal Regions ◽  
Aquifer Management ◽  
Coastal Aquifer Management

<p>Worldwide, climate change as well as socio-economic changes are increasing pressure on water supply in coastal regions and lead to major changes in groundwater recharge as well as the regional water balance as parts of the hydrosystem. These changes are threatening water security and, thereby, impede the fulfillment of the SDG 6 targets, esp. SDG targets 6.2., 6.4. and 6.6 of the UN 2030 Agenda for Sustainable Development. Thus, a modern water management demands innovative and profound methods and tools that comprehensively cover these complex changes. To address this challenge,  in the BMBF project "go-CAM" (Implementing strategic development goals in Coastal Aquifer Management) we took the methodological approach of developing new groundwater status indicators (e.g. chloride concentration in groundwater, position of saltwater/freshwater interface, freshwater volume) and corresponding target functions implemented in a new online-based management and evaluation tool called "CAM" (Coastal Aquifer Management). Both the physically based indicators as well as the target functions tackle economic as well as ecological issues. The groundwater status indicators are directly derived from the results of high-resolution, process-based (hydrological and hydrogeological) modeling of coastal hydrosystems. Due to their physical nature, the indicators are only applicable with appropriately designed climate and socio-economic scenarios for coastal water management if they are generated with models that also capture the system-relevant processes: Groundwater recharge, groundwater abstraction, discharge dynamics through drainage systems, sea level rise and groundwater discharge to the sea and saltwater intrusion.</p><p>The CAM platform is a tool that provides a way to make the results of the complex and extensive numerical modeling usable for a wider community and thus allow for a more efficient result exploitation. Building on the indicators and the selection of target functions and weighting factors the CAM tool uses Multi-Criteria Decision Analysis techniques (MCDA) to strengthen transparency and objectivity in decision-making processes and encourage communication between decision-makers in the water sector of coastal regions. In this way, the application of the CAM tool contributes to the establishment of an integrated water resources management and to derive and discuss future water management strategies as well as concrete measures.</p><p>Our methodological approach as well as the results are presented applied to a regional coastal groundwater study area in the northwestern part of Germany, the Sandelermöns region, which covers an area of about 1,000 km².</p>

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