Predicting groundwater levels is pivotal in curbing overexploitation and ensuring effective
water resource governance. However, groundwater level prediction is intricate, driven by …

Groundwater is the main preferred source of freshwater resources and therefore its use,
management, and sustainability are closely related to the Sustainable Development Goals …

In this study, we employ explainable machine learning (ML) models to predict daily
streamflow (Q flow) by leveraging hydro-meteorological parameters. The predictive matrix …

We present a novel regression algorithm that combines a Fuzzy Inference System (FIS) with
a nature-inspired algorithm to predict variations in GroundWater Levels (GWLs). Initially, we …

To study groundwater dynamics and their response to precipitation in the Pinios river basin
(central Greece), the variation trends and seasonal patterns of fourteen monitored …

Groundwater recharge is the most important component in all the water balance studies.
Norms set by the Groundwater Resource Estimation Committee, GEC-2015 was used for the …

Recurring streamflow drought is a significant problem, and it is necessary to comprehend
the spatiotemporal patterns and driving factors of historical droughts in order to manage …

The distribution and availability of water resources have been greatly impacted by global
climate change and unsustainable human activities. This has resulted in increased pressure …

Assessment of hydrological flux under climate and land use change is critical. For the Ken-
Betwa river-linking project underway in central India, a pre-assessment of land use land …

Smart monitoring of water resources comprises the use of one or more components
comprising machine learning (ML), artificial intelligence (AI), and information and …