Groundwater level response identification by hybrid wavelet–machine learning conjunction models using meteorological data
Due to its heterogeneous and complex nature, groundwater modeling needs great effort to
quantify the aquifer, a crucial tool for policymakers and hydrogeologists to understand the …
quantify the aquifer, a crucial tool for policymakers and hydrogeologists to understand the …
Water reservoir multiobjective optimal operation using Grey Wolf optimizer
This study develops the Multiobjective Grey Wolf Optimization (MOGWO) algorithm to obtain
the optimum rules on the operation of the Golestan Dam in Golestan Province, Iran, under …
the optimum rules on the operation of the Golestan Dam in Golestan Province, Iran, under …
[PDF][PDF] Application of a new approach in optimizing the operation of the multi-objective reservoir
The application of optimization tools and techniques to operate the reservoir on a Multi-
objective basis under the circumstances of climate change is unavoidable. The present …
objective basis under the circumstances of climate change is unavoidable. The present …
Optimization of reservoir operation using a bioinspired metaheuristic based on the COVID-19 propagation model
Recently, global warming problems with rapid population growth and socio-economic
development have intensified the demand for water and increased tensions on water …
development have intensified the demand for water and increased tensions on water …
Estimating of aqueduct water withdrawal via a wavelet-hybrid soft-computing approach under uniform and non-uniform climatic conditions
Due to climate change and the decrease of surface water resources recently, groundwater
resources, especially aqueducts, have special importance to meet various human …
resources, especially aqueducts, have special importance to meet various human …
Comparison of meta-heuristic algorithms in optimum operation of a single-reservoir dam system
Multi-objective models must be built to optimise the use of water supplies. In this study, the
performance of the farmland fertility algorithm (FFA) and that of the Harris hawks …
performance of the farmland fertility algorithm (FFA) and that of the Harris hawks …
Enhanced machine learning model to estimate groundwater spring potential based on digital elevation model parameters
MH Msaddek, M Ben Alaya, Y Moumni… - Geocarto …, 2022 - Taylor & Francis
In the current work, an enhanced model was developed to map groundwater spring potential
using parameters derived uniquely from digital elevation model (DEM) as inputs. The …
using parameters derived uniquely from digital elevation model (DEM) as inputs. The …
Groundwater Single‐and Multiobjective Optimization Using Harris Hawks and Multiobjective Billiards‐Inspired Algorithm
This is the first attempt to combine the Multiobjective Billiards‐Inspired Optimization
Algorithm (MOBOA) with groundwater modelling to determine pumping rates within a well …
Algorithm (MOBOA) with groundwater modelling to determine pumping rates within a well …
[PDF][PDF] Using composite ranking to select the most appropriate Multi-Criteria Decision Making (MCDM) method in the optimal operation of the Dam reservoir
In this study, the performance of the algorithms of whale, Differential evolutionary, crow
search, and Gray Wolf optimization were evaluated to operate the Golestan Dam reservoir …
search, and Gray Wolf optimization were evaluated to operate the Golestan Dam reservoir …
Evaluation of crisis resolution strategies for groundwater revival plan using fuzzy best-worst multi criteria decision model
The importance of the proper implementation of the Groundwater Revival Plan (GRP) as one
of the key approvals of the Supreme Water Council has been doubled due to the escalation …
of the key approvals of the Supreme Water Council has been doubled due to the escalation …