Surface and groundwater interactions: a review of coupling strategies in detailed domain models
In groundwater numerical simulations, the interactions between surface and groundwater
have received great attention due to difficulties related to their validation and calibration due …
have received great attention due to difficulties related to their validation and calibration due …
Spatial-temporal process simulation and prediction of chlorophyll-a concentration in Dianchi Lake based on wavelet analysis and long-short term memory network
Z Yu, K Yang, Y Luo, C Shang - Journal of Hydrology, 2020 - Elsevier
With the rapid development of urbanization, the water pollution in Dianchi Lake presents the
trend of combining urban and agricultural non-point source pollution, and it is more difficult …
trend of combining urban and agricultural non-point source pollution, and it is more difficult …
Comparative analysis of ANN and SVM models combined with wavelet preprocess for groundwater depth prediction
Reliable prediction of groundwater depth fluctuations has been an important component in
sustainable water resources management. In this study, a data-driven prediction model …
sustainable water resources management. In this study, a data-driven prediction model …
Groundwater recharge prediction using linear regression, multi-layer perception network, and deep learning
As the largest freshwater storage in the world, groundwater plays an important role in
maintaining ecosystems and hel** humans adapt to climate change. However …
maintaining ecosystems and hel** humans adapt to climate change. However …
[HTML][HTML] A top-down deep learning model for predicting spatiotemporal dynamics of groundwater recharge
This paper proposes s-LSTM, a top-down deep learning model, for efficiently modelling and
predicting the spatiotemporal dynamics of groundwater recharge. The model's effectiveness …
predicting the spatiotemporal dynamics of groundwater recharge. The model's effectiveness …
Application of GIS-based evidential belief function model to regional groundwater recharge potential zones map** in hardrock geologic terrain
The evidential belief function–Dempster-Shafer theory (EBF-DST) model was applied and
validated for groundwater recharge potential zoning in the hard-rock geologic terrain …
validated for groundwater recharge potential zoning in the hard-rock geologic terrain …
Susceptibility map** on urban landslides using deep learning approaches in Mt. Umyeon
In recent years, the incidence of localized heavy rainfall has increased as abnormal weather
events occur more frequently. In densely populated urban areas, this type of heavy rain can …
events occur more frequently. In densely populated urban areas, this type of heavy rain can …
An integrated multivariate statistical approach for the evaluation of spatial variations in groundwater quality near an unlined landfill
Groundwater is a major resource for water supply in Canada, and 43 of 68 Saskatchewan
municipalities rely on groundwater or combined groundwater and surface water sources …
municipalities rely on groundwater or combined groundwater and surface water sources …
Groundwater potential characterisation over the Voltaian basin using geophysical, geological, hydrological and topographical datasets
The delineation of prospective zones of groundwater resources has been carried out over
the Voltaian basin as a viable alternative source of potable water resource to complement …
the Voltaian basin as a viable alternative source of potable water resource to complement …
Modeling assessment of groundwater vulnerability to contamination risk in a typical basement terrain using TOPSIS-entropy developed vulnerability data mining …
OF Atenidegbe, KA Mogaji - Heliyon, 2023 - cell.com
This study involved a comparative analysis in the groundwater vulnerability domain, which is
a crucial component of groundwater management decision support systems (DSS). This was …
a crucial component of groundwater management decision support systems (DSS). This was …