Evolution characteristics and causes of iodine and fluoride in groundwater of Hengshui city in North China. [PDF]
Tuo Y +6 more
europepmc +1 more source
Abstract Affordable autonomous soil sensors and IoT technology enable real‐time soil moisture monitoring, which offers opportunities for real‐time model calibration and irrigation optimization. We introduce an irrigation decision support system SWIM2 (Sensor Wielded Inverse Modeling of a Soil Water Irrigation Model), a digital twin that integrates ...
Marit G. A. Hendrickx +7 more
wiley +1 more source
Hydrogeochemical characteristics of shallow groundwater in volcanic rock aquifer systems in the western and northern flanks of Mount Meru, Tanzania [PDF]
Bennett, George +7 more
core +1 more source
Author Correction: Exploring the evidence of Middle Amazonian aquifer sedimentary outburst residues in a Martian chaotic terrain. [PDF]
Rodriguez JAP +9 more
europepmc +1 more source
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 +11 more
wiley +1 more source
Carbon Sink Potential of Sulfur-Oxidizing Bacteria in Groundwater at Petroleum-Contaminated Sites. [PDF]
Cai P, Ning Z, Zhang M.
europepmc +1 more source
Abstract Hydropower is considered essential in meeting the increasing demand in low carbon energy in the context of climate change. Greenhouse gas emissions (GHG) by hydroelectric reservoirs have nevertheless become a major concern to the energy sector.
Maud Demarty +4 more
wiley +1 more source
Hydrogeology of the Bedugul High Plains Area, Bali [PDF]
Mahauden, Michel, Van Camp, Marc
core +1 more source
Resilience of deep aquifer microbial communities to seasonal hydrological fluctuations. [PDF]
Giroud S +4 more
europepmc +1 more source
FloodUnet: A Rapid Spatio‐Temporal Prediction Model for Flood Evolution Based on an Enhanced U‐Net
Abstract Flooding causes significant loss of life and economic damage and affects healthy development of society. Deep learning (DL) models demonstrate significant advantages in improving computational efficiency while maintaining accuracy. Existing research of predicting dynamic flood evolution still remains some gaps for predicting flooding maps from
T. Chen +6 more
wiley +1 more source

