With the accelerated industrialization and urbanization process, water pollution in rivers is
being increasingly worsened, and has caused a series of ecological and environmental …

Despite the considerable success of deep learning methods in modelling physical
processes, they suffer from a variety of issues such as overfitting and lack of interpretability …

Streamflow prediction (SFP) constitutes a fundamental basis for reliable drought and flood
forecasting, optimal reservoir management, and equitable water allocation. Despite …

Drought monitoring and prediction have important roles in various aspects of hydrological
studies. In the current research, the standardized precipitation index (SPI) was monitored …

High-durability concrete is required in extremely cold or ocean environments, making the
design of concrete mixes highly important and complicated. In this study, a hybrid intelligent …

Glacio-hydrological modeling is a key task for assessing the influence of snow and glaciers
on water resources, essential for water resources management. The present study aims to …

Accurate hydrological understanding and water cycle prediction are crucial for addressing
scientific and societal challenges associated with the management of water resources …

A high-accuracy estimation of the runoff has always been an extremely relevant and
challenging subject in hydrology science. Therefore, in the current research, a novel hybrid …

Supply chains operate in a highly distuptive environment where a SC master plan should be
updated in line with disruptions to ensure that a high service level is provided to customers …

Abstract Solar Stills (SSs) are an eco-friendly and efficient approach to generating drinking
water from brackish or saline sources. In this paper, a novel model for predicting the …