Seepage is the phenomenon of water infiltrating through a gravity dam's foundation, causing
erosion and weakening the dam's construction over time. If not properly managed, this can …

Advancement in river flow prediction systems can greatly empower the operational river
management to make better decisions, practices, and policies. Machine learning methods …

The implicit Colebrook–White equation has been widely used to estimate the friction factor
for turbulent fluid in irrigation pipes. A fast, accurate, and robust resolution of the Colebrook …

Currently made alternative structures from loose stones, gabion weirs are preferred with
respect to solid concrete weirs formerly used in the past. By being more stable and flexible …

This paper investigates the potential of back propagation neural network and M5 model tree
based regression approaches to model monthly reference evapotranspiration using climatic …

In this research, we demonstrate the effectiveness of a convolutional neural network (CNN)
model, integrated with the ERA5-Land dataset, for accurately simulating daily streamflow in …

Accurate prediction of river daily discharge is a suitable tool for water resources planning
and management. Using models that present explicit equation, such as M5 model trees and …

Rainfall has been one of the most important agents in water cycle which has an effective rule
in each region characters measurement. Prediction of month scale rainfall is important for …

Modeling the stage in river flow is more important in the prevention of floods, sustainable
growth planning, management of water assets and development of trade and industry, etc. In …

Introduction: Precise prediction of river flows is the key factor for proper planning and
management of water resources. Thus, obtaining the reliable methods for predicting river …