With the gallo** progress of the changing climates all around the world, Machine Learning
(ML) approaches have been prevalently studied in many types of research in this area. ML is …

Water is the most valuable natural resource on earth that plays a critical role in the socio-
economic development of humans worldwide. Water is used for various purposes, including …

Groundwater quality appraisal is one of the most crucial tasks to ensure safe drinking water
sources. Concurrently, a water quality index (WQI) requires some water quality parameters …

Applying data mining techniques for rainfall modeling because of a lack of sufficient memory
components may increase uncertainty in rainfall forecasting. To solve this issue, in this …

In years of increasing impact of climate change effects, a reliable characterization of the
spatiotemporal evolutionary dynamics of evapotranspiration can enable a significant …

The water quality index is one of the prominent general indicators to assess and classify
surface water quality, which plays a critical role in river water resources practices. This …

Data-driven models are important to predict groundwater quality which is controlling human
health. The water quality index (WQI) has been developed based on the physicochemical …

Spatial-temporal information of different water resources is essential to rationally manage,
sustainably develop, and optimally utilize water. This study focused on simulating future …

Actual evapotranspiration (AET) is one of the decisive factors controlling the water balance
at the catchment level, particularly in arid and semi-arid regions, but measured data for …

Reference crop evapotranspiration (ETo) is an important component of the hydrological
cycle that is used for water resource planning, irrigation, and agricultural management, as …