Simulation of regional groundwater levels in arid regions using interpretable machine learning models
Regional groundwater level forecasting is critical to water resource management, especially
for arid regions which require effective management of groundwater resources to meet …
for arid regions which require effective management of groundwater resources to meet …
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 …
Groundwater level forecasting with machine learning models: A review
Groundwater, the world's most abundant source of freshwater, is rapidly depleting in many
regions due to a variety of factors. Accurate forecasting of groundwater level (GWL) is …
regions due to a variety of factors. Accurate forecasting of groundwater level (GWL) is …
Modelling groundwater level variations by learning from multiple models using fuzzy logic
Modelling time series of groundwater levels is investigated by three fuzzy logic (FL) models,
Sugeno (SFL), Mamdani (MFL) and Larsen (LFL), using data from observation wells. One …
Sugeno (SFL), Mamdani (MFL) and Larsen (LFL), using data from observation wells. One …
Predicting groundwater level fluctuations under climate change scenarios for Tasuj plain, Iran
Coastal aquifers world-wide are being confronted with several major challenges, such as
overextraction of groundwater, climate change impacts, contamination by wastewater, and …
overextraction of groundwater, climate change impacts, contamination by wastewater, and …
Reconstructing high-resolution groundwater level data using a hybrid random forest model to quantify distributed groundwater changes in the Indus Basin
High-resolution, continuous groundwater data is important for place-based adaptive aquifer
management. This information is unavailable in many areas due to spatial sparsity of and …
management. This information is unavailable in many areas due to spatial sparsity of and …
Improving forecasting accuracy of multi-scale groundwater level fluctuations using a heterogeneous ensemble of machine learning algorithms
Accurate groundwater level (GWL) forecasts are crucial for the efficient utilization, strategic
long-term planning, and sustainable management of finite groundwater resources. These …
long-term planning, and sustainable management of finite groundwater resources. These …
A data fusion-based methodology for optimal redesign of groundwater monitoring networks
M Hosseini, R Kerachian - Journal of Hydrology, 2017 - Elsevier
In this paper, a new data fusion-based methodology is presented for spatio-temporal (ST)
redesigning of Groundwater Level Monitoring Networks (GLMNs). The kriged maps of three …
redesigning of Groundwater Level Monitoring Networks (GLMNs). The kriged maps of three …
A hybrid model for river water level forecasting: cases of Xiangjiang River and Yuanjiang River, China
Y Li, H Shi, H Liu - Journal of Hydrology, 2020 - Elsevier
The accurate monitoring and early warning of river water level is an important measure to
ensure the safety of life and property of river basin residents, and the high precision …
ensure the safety of life and property of river basin residents, and the high precision …
Use of meta-heuristic approach in the estimation of aquifer's response to climate change under shared socioeconomic pathways
N Zeydalinejad, R Dehghani - Groundwater for Sustainable Development, 2023 - Elsevier
Climate change is one of the main sources of stress on the aquifers. However, few studies
have appraised its impact on groundwater systems, especially in Iran with unprecedented …
have appraised its impact on groundwater systems, especially in Iran with unprecedented …