Dataset for "Collaborative Modeling for Groundwater Sustainability Evaluation in Coastal Aquifers Using Simulation Optimization"
Abstract
The full dataset (~130 GB) is zipped and publicly available on Zenodo. The data contains all the models and codes including pre-processing, simulation optimization, and post-processing. [1] Each main folder contains a "ReadMe.txt" file that has information about the folders and files contained in the folder. [2] Here are a list of these main foldersA_WellData -> pre-processing B_GISMaps -> pre-processing B_SourcesSinks -> pre-processing C_SpecifiedPressureNodes -> pre-processingD_PumpingCostData -> pre-processingE_Spring -> pre-processingF_ObservationData -> pre-processingG_WaterBudget -> pre-processingM_PrepareSimulationRun -> pre-processingO_PrepareOptimizationRun -> Here you will find the simulation models and the optimization filesR_Results -> Post-process the results Z_References -> Useful documents [3] To prepare a simulation optimization run start by reading the "ReadMe.txt" file in "O_PrepareOptimizationRun"There you will find the 6 basic simualtion models (three models with different geology with and without sea-level riseTo postprocess the results from the cluster, read the "ReadMe.txt" file in "O_Results"You do not need to pre-processing folder to run the simulation optimization with its current opitions To learn about the current opitions read "R_Results\FinalResults\20191105 Withdrawal_Maps_RawResults\RunKey.txt"You might need these pre-processing file if you want to add or modify opitions [4] This is an incomplete work. Some of the remaining work is described in "Z_References\03 Reports\20190715 Allocation Request.docx"I started writing a manuscript about this work "Z_References\03 Reports\20191218 SOManuscript.docx" which will contain details about the limitations of the results [5] To learn more about this simulation optimization work you can check the documents in " "Z_References\03 Reports\"
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 1 January 2026
- Document type
- Dataset