Water resources management
Surface hydrosystem management
The intensification of human activity is characterized by increasing water demand, both for domestic and non-domestic uses. A balanced water resource management that achieves the optimum trade-off between risk and operating cost is imperative. The standard approaches include dynamic programming, network flow programming and parametric rules. The modern approaches introduce machine learning algorithms for supporting decisions. Their advantage is the straightforward application, which does not require specialized software tools. Practitioners can employ a plain spreadsheet to obtain the optimal management policy. https://doi.org/10.3390/resources8040173Â
Coastal aquifers deterministic management
Developed analytical solutions can be used for first-order assessments of seawater intrusion vulnerability and management possibilities across a wide range of current regional coastal aquifer conditions and/or projected water demand, groundwater management and climatic change scenarios. https://doi.org/10.1016/j.jhydrol.2011.11.012
Coastal aquifers stochastic management
An efficient very fast method for simulating sea water intrusion with mixing has been developed to allow fast carrying out multiple runs in Monte Carlo simulations or for identifying optimal management strategies. The management of the coastal aquifers via stochastic simulations is important because it provides the means to treat the inherent uncertainty of the natural processes, and communicate this inherent uncertainty quantitatively to the responsible decision-making authorities (see MADPD-SWI in Software).
