A systematic review and meta-analysis of groundwater level forecasting with machine learning techniques: Current status and future directions
JL Uc-Castillo, AE Marín-Celestino… - … Modelling & Software, 2023 - Elsevier
Accurate and reliable groundwater level (GWL) forecasting is crucial for develo**
strategies and managing water resources. In recent years, Machine Learning (ML) has …
strategies and managing water resources. In recent years, Machine Learning (ML) has …
Assessing groundwater behavior and future trends in the Ardabil Aquifer: A comparative study of groundwater modeling system and categorical gradient boosting …
Rapid population growth and rising demand have led to increased groundwater extraction,
underscoring the importance of effective water resource management. While groundwater …
underscoring the importance of effective water resource management. While groundwater …
Water resources management considering groundwater instability affected by climate change scenarios
In the present study, using GMS and MODFLOW code, a model of Khorramabad aquifer
(Iran) was developed under unsteady conditions with considering the climate change (as a …
(Iran) was developed under unsteady conditions with considering the climate change (as a …
[HTML][HTML] Groundwater contaminant source identification considering unknown boundary condition based on an automated machine learning surrogate
Y Xu, W Lu, Z Pan, C Luo, Y Bai, S Qiu - Geoscience Frontiers, 2024 - Elsevier
Groundwater contamination source identification (GCSI) is a prerequisite for contamination
risk evaluation and efficient groundwater contamination remediation programs. The …
risk evaluation and efficient groundwater contamination remediation programs. The …
[HTML][HTML] Response characteristics and water inflow prediction of complex groundwater systems under high-intensity coal seam mining conditions
Z Hua, Y Zhang, S Meng, L Wang, X Wang, Y Lv, J Li… - Water, 2023 - mdpi.com
With the gradual improvement in coal mining efficiency, the disturbance of groundwater
systems caused by high-intensity mining also increases, leading to challenges in …
systems caused by high-intensity mining also increases, leading to challenges in …
Aquifer feature estimation in Basara basin using a groundwater modeling system for smart agriculture
We estimate aquifer characteristics in the Basara basin using Groundwater Modeling
System (GMS) software in this article. The 960 hydraulic head measurements are taken from …
System (GMS) software in this article. The 960 hydraulic head measurements are taken from …
Groundwater withdrawal adjustment based on changes in groundwater balance components (a case study: an arid region in central Iran)
The aim of this study was to investigate how to adjust groundwater withdrawal in the
Zayandeh-Rud River Basin in the arid region of central Iran due to changes in groundwater …
Zayandeh-Rud River Basin in the arid region of central Iran due to changes in groundwater …
[PDF][PDF] Assessment of the Groundwater in Erbil Basin with Support of Visual MODFLOW.
Groundwater stands as a crucial lifeline in numerous regions across the globe, a
significance magnified in water-scarce locales like the Middle East. With depleting water …
significance magnified in water-scarce locales like the Middle East. With depleting water …
GMS-MODFLOW application in the investigation of groundwater potential in Concepcion, Tarlac, Philippines
LC Quitaneg - IOP Conference Series: Earth and Environmental …, 2021 - iopscience.iop.org
This study used GMS-Modflow to investigate the ten-year groundwater potential in
Concepcion, Tarlac. This region in Central Luzon, Philippines, with limited surface water …
Concepcion, Tarlac. This region in Central Luzon, Philippines, with limited surface water …
多变量 LSTM 神经网络模型在地下水位预测中的应用.
孙虹洁， 赵振华， 黄林显， 邢立亭， 郝杰… - Yellow River, 2022 - search.ebscohost.com
准确进行地下水位预测对地下水管理具有重要意义. 通过将代表补给项的降水量和代表排泄项的
气温, 水汽压及开采量作为输入变量, 构建了基于多变量长短时记忆(LSTM) 神经网络的地下水位 …
气温, 水汽压及开采量作为输入变量, 构建了基于多变量长短时记忆(LSTM) 神经网络的地下水位 …