Harnessing machine learning for assessing climate change influences on groundwater resources: a comprehensive review

A Bamal, MG Uddin, AI Olbert - Heliyon, 2024 - cell.com
Climate change is a major concern for a range of environmental issues including water
resources especially groundwater. Recent studies have reported significant impact of …

Deep learning shows declining groundwater levels in Germany until 2100 due to climate change

A Wunsch, T Liesch, S Broda - Nature communications, 2022 - nature.com
In this study we investigate how climate change will directly influence the groundwater
resources in Germany during the 21st century. We apply a machine learning groundwater …

A review on the climate-induced depletion of Iran's aquifers

N Zeydalinejad, HR Nassery - Stochastic Environmental Research and …, 2023 - Springer
Few studies have examined the impact of climate change on groundwater resources
worldwide, especially in developing countries. The objective of this study is to review the …

Modelling groundwater level fluctuations by ELM merged advanced metaheuristic algorithms using hydroclimatic data

RM Adnan, HL Dai, RR Mostafa, ARMT Islam… - Geocarto …, 2023 - Taylor & Francis
The accurate assessment of groundwater levels is critical to water resource management.
With global warming and climate change, its significance has become increasingly evident …

A novel hybrid algorithms for groundwater level prediction

M Saroughi, E Mirzania, DK Vishwakarma… - Iranian Journal of …, 2023 - Springer
Estimating groundwater levels (GWL) with accuracy and reliability, in order to maximize the
use of water resources, it is crucial to reduce water consumption. To predict GWL in the …

Application of artificial intelligence models for prediction of groundwater level fluctuations: Case study (Tehran-Karaj alluvial aquifer)

M Vadiati, Z Rajabi Yami, E Eskandari… - Environmental …, 2022 - Springer
The nonlinear groundwater level fluctuations depend on the interaction of many factors such
as evapotranspiration, precipitation, groundwater abstraction, and hydrogeological …

Groundwater level simulation using soft computing methods with emphasis on major meteorological components

S Samani, M Vadiati, F Azizi, E Zamani… - Water Resources …, 2022 - Springer
Precise estimation of groundwater level (GWL) might be of great importance for attaining
sustainable development goals and integrated water resources management. Compared …

Assessing long-term climate change impact on spatiotemporal changes of groundwater level using autoregressive-based and ensemble machine learning models

V Nourani, AHG Tapeh, K Khodkar, JJ Huang - Journal of Environmental …, 2023 - Elsevier
To evaluate the long-term climate change impacts on groundwater fluctuations of the Ardabil
plain, Iran, a groundwater level (GWL) modeling was proposed in this study. Accordingly, the …

Prediction of groundwater table and drought analysis; a new hybridization strategy based on bi-directional long short-term model and the Harris hawk optimization …

S Farzin, MV Anaraki, M Naeimi… - Journal of Water and …, 2022 - iwaponline.com
In the present study, a new hybridization strategy for predicting the groundwater table (GWT)
and drought analysis is presented. Therefore, a hybrid of the bi-directional long short-term …

Combining discrete wavelet decomposition with soft computing techniques to predict monthly evapotranspiration in semi-arid Hakkâri province, Türkiye

OM Katipoğlu - Environmental Science and Pollution Research, 2023 - Springer
Accurate prediction of evapotranspiration values is important in planning agricultural
irrigation, crop growth research, and hydrological modeling. This study is aimed at …