Groundwater level prediction with machine learning to support sustainable irrigation in water scarcity regions

W Li, MM Finsa, KB Laskey, P Houser, R Douglas-Bate - Water, 2023 - mdpi.com
Predicting groundwater levels is challenging, especially in regions of water scarcity where
data availability is often limited. However, these regions have substantial water needs and …

Strategic imputation of groundwater data using machine learning: Insights from diverse aquifers in the Chao-Phraya River Basin

YK Sharma, S Kim, AST Charmchi, D Kang… - Groundwater for …, 2025 - Elsevier
Effective groundwater monitoring is essential for sustainable water management, particularly
in data-sparse regions. To address inconsistencies in groundwater level data, we developed …

Groundwater Storage Loss in the Central Valley Analysis Using a Novel Method based on In Situ Data Compared to GRACE-Derived Data

MD Stevens, SG Ramirez, EMH Martin… - … Modelling & Software, 2025 - Elsevier
We estimate long-term groundwater storage loss in California's Central Valley (CV) using a
novel data imputation method that combines in situ data with Earth Observations to generate …

Two stage iterative approach for addressing missing values in small-scale water quality data

F Wang, X Cui, Y Gui, Y Qiao - Marine Development, 2024 - Springer
Handling missing values in real water quality monitoring systems is essential for
environmental analysis, particularly in some small-scale datasets. In the case of insufficient …

[PDF][PDF] Application of a Novel Groundwater Storage Analysis Tool to Assess Drought Impacts in a Groundwater-Driven Basin in the Klamath Watershed, Oregon, USA

D Shepard, NL Jones, GP Williams - 2024 - preprints.org
Groundwater is becoming increasingly important in the Pacific Northwest of the USA due to
declining snowpack volumes and shifts in precipitation type and timing, all connected with …

A Decision Support System for Identifying Optimal Well Placement

W Li - 2024 - search.proquest.com
Abstract In East Africa, recurrent droughts over the past few decades have contributed to
severe food crises, particularly in countries heavily dependent on agriculture. To enhance …