Groundwater level time series are of great value for a variety of groundwater studies,
particularly for those dealing with the impacts of anthropogenic and climate change. Quality …

Demand for public transportation is highly affected by passengers' experience and the level
of service provided. Thus, it is vital for transit agencies to deploy adaptive strategies to …

Abstract Machine learning algorithm has been increasingly used to fill missing daily
streamflow data from neighboring gauges in data-scarce regions. However, how human …

Complete hydrological time series are necessary for water resources management and
modeling. This can be challenging in data scarce environments where data gaps are …

Groundwater level fluctuations are caused by spatial and temporal superposition of
processes within and outside the aquifer system. Most of the subsurface processes are …

Abstract The Geological Survey of the Netherlands (TNO‐GSN) maintains a public national
database of groundwater head observations. Transfer function‐noise modeling has been …

The clear identification and quantification of the factors affecting groundwater systems is
crucial for protecting groundwater resources and ensuring safety in agricultural production …

To identify and quantitatively evaluate complex latent factors controlling groundwater level
(GWL) fluctuations in a riverside alluvial aquifer influenced by barrage construction, we …

Suspicious groundwater-level observations are common and can arise for many reasons
ranging from an unforeseen biophysical process to bore failure and data management …

Groundwater observation bores are often monitored irregularly and infrequently. The
resulting groundwater hydrographs are consequently less informative for understanding …