Results 161 to 170 of about 97,902 (286)

The Effects of Planting Structure on Groundwater Depletion and Optimization Strategies in the North China Plain

Water Resources Research, Volume 62, Issue 2, February 2026.
Abstract Planting structure drive agricultural water use and is critical to groundwater depletion in the North China Plain (NCP). However, the effects of planting structure changes on groundwater depletion are rarely quantified, and severely depleted areas are often overlooked in previous planting structure optimization studies.
Chengru Jia, Shikun Sun, Yongshan Liang, Ruihua Shen, Jinfeng Zhao, Yali Yin, Yubao Wang, Xining Zhao   +7 more
wiley   +1 more source

Assessment of groundwater recharge potential in a typical geological transition zone in Bauchi, NE-Nigeria using remote sensing/GIS and MCDA approaches. [PDF]

Heliyon, 2021
Abdullateef L, Tijani MN, Nuru NA, John S, Mustapha A.   +4 more
europepmc   +1 more source

Comparing Snow Water Equivalent Estimations From Long Short‐Term Memory Networks and Physics‐Based Models in the Western United States

Water Resources Research, Volume 62, Issue 2, February 2026.
Abstract In snowmelt‐dominated regions like the western U.S., mountain snowpacks supply 50%–70% of the total runoff. Accurate estimation of snow water equivalent (SWE) is critical for informed management of water resources, including reservoir operations, flood risk assessments, and drought mitigation. However, the spatial variability and complexity of
Madeleine C. Burns, Reed M. Maxwell
wiley   +1 more source

Assessing the potential of managed aquifer recharge using rooftop rainwater harvesting with shallow wells in peri-urban communities in Kumasi, Ghana

Discover Water
In many cities worldwide, groundwater levels have declined significantly due to climate change and increased water demand, necessitating artificial recharge.
P. Amihere-Ackah, I. Monney, D. C. Okyere, K. A. Adjei, E. K. Appiah-Adjei   +4 more
doaj   +1 more source

Artificial recharge to groundwater [PDF]

Journal of Hydrology, 2015
  +5 more sources

Groundwater Hydrochemistry and Recharge Process Impacted by Human Activities in an Oasis–Desert in Central Asia [PDF]

Yuan Yao, Chenwei Tu, G.C. Hu, Yuhan Zhang, Hanyuan Cao, Wanrui Wang, Weihua Wang   +6 more
openalex   +1 more source

Large Streamflow Differences Between Forested and Urbanized Watersheds in the Energy‐Limited Eastern United States: The Role of Evapotranspiration and Impervious Surfaces

Water Resources Research, Volume 62, Issue 2, February 2026.
Abstract Urban forests and other green infrastructures have been viewed as part of the “Nature‐based Solutions” (NbS) to mitigate emerging urban environmental change. This study focuses on the role of evapotranspiration (ET) in regulating water balances of small watersheds in the eastern United States.
Ge Sun, Zihao Bian, Kul Khand, Peter V. Caldwell, Johnny Boggs, Chen Wang, Yujuan Chen, Ning Liu, Yulong Zhang, Xi Chen, Gabriel B. Senay, Steven G. McNulty   +11 more
wiley   +1 more source

Groundwater Responses to Artificial Recharge of Rainwater in Badulla District in Sri Lanka

, 2020
C. S. De Silva, T. Ariyananda
openalex   +2 more sources

A Robust and Efficient Continuous‐Differentiable Seepage Face Boundary Condition for Dynamic Groundwater Modeling

Water Resources Research, Volume 62, Issue 2, February 2026.
Abstract Seepage boundary conditions are commonly used in groundwater simulations to allow groundwater to discharge at the upper surface of the model when groundwater head exceeds atmospheric pressure. However, the extent and transient behavior of the seepage zone are often unknown a priori and difficult to predict.
Young‐Jin Park, Hyoun‐Tae Hwang, Tatsuya Tanaka, Takenori Ozutsumi, Yutaka Morita, Koji Mori, Steven J. Berg, Walter A. Illman   +7 more
wiley   +1 more source

Hydrology in the Age of Artificial Intelligence: From Fragmentation to Coherent Terrestrial Hydrosphere Science

Water Resources Research, Volume 62, Issue 2, February 2026.
Abstract The rapid rise of machine learning (ML) in hydrology has prompted debate about the discipline's scientific relevance. While ML often outperforms traditional models in streamflow prediction, we argue that this reflects a deeper limitation: persistent fragmentation of hydrological science itself.
Scott L. Painter, Georgia Destouni
wiley   +1 more source