To assess the flood risks of reservoirs in a changing environment, this study considers the
uncertainty of future floods and argues that the future flood projected by Global Climate …

Due to the underlying uncertainty in the groundwater level (GWL) modeling, point prediction
of the GWLs does not provide sufficient information for decision making and management …

Herring and mackerel are two of the most important pillars of Scottish fisheries. In recent
years, global warming has caused a gradual rise in ocean temperatures. In order to survive …

It is necessary to accurately assess the inflow and infiltration conditions in sewer systems if
sewer overflows are to be avoided. In this regard, Long Short-Term Memory (LSTM) is …

Water scarcity is a major challenge for irrigated agriculture, particularly in developing
countries where access to meteorological data for calculating reference evapotranspiration …

Flood forecasting is a significant tool for river basin management and early flood warning
systems. The aim of the present study was to develop annual time series flood forecasting …

Global reanalysis dataset estimations of climate variables constitute an alternative for
overcoming data scarcity associated with sparsely and unevenly distributed …

The aim of this study was to model the behavior of particles with aerodynamic diameter
lower or equal to 10 μ m (PM10) in the Caribbean area according to African dust …

In this article, the performance evaluation of four univariate time-series forecasting
techniques, namely Hyndman Khandakar-Seasonal Autoregressive Integrated Moving …

Stochastic modeling to forecast hydrological variables under changing climatic conditions is
essential for water resource management and adaptation planning. This study explores the …