Thermal pollution reduces water quality through any process that leads to a change in the
water's ambient temperature. Karun is one of the most relevant sources of water supply in …

While some robust artificial intelligence (AI) techniques such as Gene-Expression
Programming (GEP), Model Tree (MT), and Multivariate Adaptive Regression Spline (MARS) …

There are many forecasting models, but not all of them are able to monthly inflow
forecasting. In this study, the abilities of static and dynamic artificial neural network model for …

Using multimetric indices (MMIs) for monitoring the ecosystem health of rivers is common
practice. Increasing the applicability of MMIs needs understanding of the impacts of natural …

One of the main objectives of river engineering is river training which is defined as
controlling and predicting river behaviors. It is taking effective measurements to eliminate …

Water quality indices use biological, chemical, and physical data and information to classify
the condition of surface waters, ultimately contributing to their management. We used …

This book reports the first systematic monitoring and modelling study on water availability,
water quality and seawater intrusion of the Shatt al-Arab River (SAR) on the border of Iraq …

This article introduces the analytic network process (ANP) as an effective tool for ranking
water transfer projects. Water resources are the main basis of stable development around …

This paper investigates chemical water quality parameters of the Karoun, the greatest and
the most important river of Iran, during a 48-year period, from 1968 to 2015. Water discharge …

Longitudinal and vertical salinity measurements are used in this study to predict the extent of
inland seawater intrusion in a deltaic river estuary. A predictive model is constructed to apply …