Graph neural network for groundwater level forecasting

T Bai, P Tahmasebi - Journal of Hydrology, 2023 - Elsevier
Accurate prediction of groundwater level (GWL) over a period of time is of great importance
for groundwater resources management. Machine learning techniques due to their great …

[LIBRO][B] Estimating groundwater recharge

RW Healy - 2010 - books.google.com
Understanding groundwater recharge is essential for successful management of water
resources and modeling fluid and contaminant transport within the subsurface. This book …

High emissions of greenhouse gases from grasslands on peat and other organic soils

B Tiemeyer, E Albiac Borraz, J Augustin… - Global change …, 2016 - Wiley Online Library
Drainage has turned peatlands from a carbon sink into one of the world's largest
greenhouse gas (GHG) sources from cultivated soils. We analyzed a unique data set (12 …

A hybrid data-driven deep learning prediction framework for lake water level based on fusion of meteorological and hydrological multi-source data

Z Yao, Z Wang, T Wu, W Lu - Natural Resources Research, 2024 - Springer
Accurate prediction of lake water level is of great significance for flood prevention, reservoir
scheduling, and ecological protection. However, the change in lake water level is influenced …

Aquifer heterogeneity and response time: the challenge for groundwater management

BFJ Kelly, WA Timms, MS Andersen… - Crop and Pasture …, 2013 - CSIRO Publishing
Groundwater is an important contributor to irrigation water supplies. The time lag between
withdrawal and the subsequent impacts on the river corridor presents a challenge for water …

Development of IOT-based low-cost MEMS pressure sensor for groundwater level monitoring

M Barzegar, S Blanks, S Gharehdash… - Measurement Science …, 2023 - iopscience.iop.org
Groundwater level monitoring is critical to the protection and management of groundwater
resources. Properly designed and executed instrumentation can play an important role in …

Alternative stable states and hydrological regime shifts in a large intermittent river

S Zipper, I Popescu, K Compare, C Zhang… - Environmental …, 2022 - iopscience.iop.org
Non-perennial rivers and streams make up over half the global river network and are
becoming more widespread. Transitions from perennial to non-perennial flow are a …

[HTML][HTML] Estimation of groundwater recharge from groundwater levels using nonlinear transfer function noise models and comparison to lysimeter data

RA Collenteur, M Bakker, G Klammler… - Hydrology and Earth …, 2021 - hess.copernicus.org
The estimation of groundwater recharge is of paramount importance to assess the
sustainability of groundwater use in aquifers around the world. Estimation of the recharge …

Pastas: open source software for the analysis of groundwater time series

RA Collenteur, M Bakker, R Caljé, SA Klop… - …, 2019 - Wiley Online Library
Time series analysis is an increasingly popular method to analyze heads measured in an
observation well. Common applications include the quantification of the effect of different …

Inferring water table depth dynamics from ENVISAT-ASAR C-band backscatter over a range of peatlands from deeply-drained to natural conditions

M Bechtold, S Schlaffer, B Tiemeyer, G De Lannoy - Remote Sensing, 2018 - mdpi.com
Water table depth (WTD) is one of the key variables controlling many processes in
peatlands. Reliable WTD estimates based on remote sensing data would advance peatland …