Accurate prediction of daily river flow (Q t) remains a challenging yet essential task in
hydrological modeling, particularly crucial for flood mitigation and water resource …

Emission created by combustion of fossil fuels are a major concern of the world for the past
few decades. The stringent emission norms have impacted the automobile manufacturers to …

High loads of suspended sediments in rivers are known to cause detrimental effects to
potable water sources, river water quality, irrigation activities, and dam or reservoir …

Accurate water quality predicting has an essential role in improving water management and
pollution control. The machine learning models have been successfully implemented for …

The present investigation has centered on examining the imp act of vegetation-based
management strategies on the socio-economic, physical, and ecological aspects of the …

Suspended sediment concentration (SSC) is one of the primary reasons with respect to
watersheds or river basins, which must be assessed in a correct manner so that it will help …

Solar air heaters generally operate at constant mass flow rates achieved with constant fan
speed. This situation causes continuous energy consumption in solar air heater (SAH) …

It is difficult to predict and model with an accurate model the floods, that are one of the most
destructive risks across the earth's surface. The main objective of this research is to show the …

Accurate forecasting of lake water level (WL) fluctuations is essential for effective
development and management of water resource systems. This study applies the Random …

Abstract The application of Artificial Intelligence (AI) techniques has become popular in
science and engineering applications since the middle of the twentieth century. In this …