World's Best Scientists 2026 revealed!
Bahram Gharabaghi

Bahram Gharabaghi

D-Index & Metrics

Engineering and Technology

D-Index
48
Citations
7550
World Ranking
4658
National Ranking
190

Overview

Bahram Gharabaghi is affiliated with the University of Guelph in Canada and has contributed extensively to the fields of Environmental Science and Engineering. Their research primarily focuses on areas related to hydrological forecasting, watershed management, and water-related environmental processes.

Gharabaghi's main fields of study include:

  • Environmental Science
  • Engineering

The scientist's work covers several subfields of study, such as:

  • Environmental Engineering
  • Water Science and Technology
  • Global and Planetary Change
  • Civil and Structural Engineering
  • Ecology

The core topics addressed in the research by Gharabaghi encompass:

  • Hydrological Forecasting Using AI
  • Hydrology and Watershed Management Studies
  • Flood Risk Assessment and Management
  • Hydrology and Sediment Transport Processes
  • Water Quality Monitoring Technologies
  • Hydraulic flow and structures
  • Hydrology and Drought Analysis

Some of the recent notable papers authored or co-authored by Gharabaghi include:

  • Genetic-Algorithm-Optimized Sequential Model for Water Temperature Prediction, 2020, Sustainability
  • Optimizing operating rules for multi-reservoir hydropower generation systems: An adaptive hybrid differential evolution algorithm, 2020, Renewable Energy
  • Processing, Carbonization, and Characterization of Lignin Based Electrospun Carbon Fibers: A Review, 2020, Frontiers in Energy Research
  • Mapping the spatial and temporal variability of flood susceptibility using remotely sensed normalized difference vegetation index and the forecasted changes in the future, 2021, The Science of The Total Environment
  • Hourly road pavement surface temperature forecasting using deep learning models, 2021, Journal of Hydrology

Frequent co-authors of Gharabaghi comprise:

  • Hossein Bonakdari
  • Jesse Van Griensven Thé
  • Isa Ebtehaj
  • Paulo Alexandre Costa Rocha
  • Victor Oliveira Santos

Publication venues where Gharabaghi has frequently published include:

  • Water
  • Preprints.org
  • Journal of Hydrology
  • Atmosphere
  • Sustainability

In addition to journal publications, the scientist has also contributed to book literature. One such publication through Springer Nature is titled "Computational Intelligence for Water and Environmental Sciences," published in 2022.

Best Publications

  • A Review of High Impact Weather for Aviation Meteorology

    Ismail Gultepe;Robert Sharman;Paul D. Williams;Binbin Zhou

  • Forecasting air quality time series using deep learning.

    Brian S Freeman;Graham Taylor;Bahram Gharabaghi

  • Groundwater chloride response in the Highland Creek watershed due to road salt application: A re-assessment after 20 years

    Nandana Perera;Bahram Gharabaghi;Ken Howard

  • Extreme learning machine model for water network management

    Ahmed Sattar;Ömer Faruk Ertuğrul;Bahram Gharabaghi;Edward Arthur McBean

  • Gene expression models for prediction of longitudinal dispersion coefficient in streams

    Ahmed M.A. Sattar;Bahram Gharabaghi

  • An integrated framework of Extreme Learning Machines for predicting scour at pile groups in clear water condition

    Isa Ebtehaj;Hossein Bonakdari;Fatemeh Moradi;Bahram Gharabaghi

  • Predicting wastewater treatment plant quality parameters using a novel hybrid linear-nonlinear methodology.

    Khadije Lotfi;Hossein Bonakdari;Isa Ebtehaj;Farouq S. Mjalli

  • Effectiveness of Vegetative Filter Strips in Removal of Sediments from Overland Flow

    Bahram Gharabaghi;Ramesh P. Rudra;Pradeep K. Goel

  • Prediction of flow duration curves for ungauged basins

    Maya Atieh;Graham Taylor;Ahmed M.A. Sattar;Bahram Gharabaghi

  • Novel hybrid linear stochastic with non-linear extreme learning machine methods for forecasting monthly rainfall a tropical climate.

    Mohammad Zeynoddin;Hossein Bonakdari;Arash Azari;Isa Ebtehaj

  • Development of more accurate discharge coefficient prediction equations for rectangular side weirs using adaptive neuro-fuzzy inference system and generalized group method of data handling

    Isa Ebtehaj;Hossein Bonakdari;Bahram Gharabaghi

  • Lake Water-Level fluctuations forecasting using Minimax Probability Machine Regression, Relevance Vector Machine, Gaussian Process Regression, and Extreme Learning Machine

    Hossein Bonakdari;Isa Ebtehaj;Pijush Samui;Bahram Gharabaghi

  • Predicting the Timing of Water Main Failure Using Artificial Neural Networks

    Richard Harvey;Edward A. McBean;Bahram Gharabaghi

  • A reliable linear stochastic daily soil temperature forecast model

    Mohammad Zeynoddin;Hossein Bonakdari;Isa Ebtehaj;Fatemeh Esmaeilbeiki

  • Uncertainty analysis of intelligent model of hybrid genetic algorithm and particle swarm optimization with ANFIS to predict threshold bank profile shape based on digital laser approach sensing

    Azadeh Gholami;Hossein Bonakdari;Isa Ebtehaj;Majid Mohammadian

  • Impervious surfaces and sewer pipe effects on stormwater runoff temperature

    F. Sabouri;B. Gharabaghi;A.A. Mahboubi;E.A. McBean

  • Assessment of the Contributions of Traditional Qanats in Sustainable Water Resources Management

    Homayoun Motiee;Edward Mcbean;Ali Semsar;Bahram Gharabaghi

  • Evolutionary design of generalized group method of data handling-type neural network for estimating the hydraulic jump roller length

    Hamed Azimi;Hossein Bonakdari;Isa Ebtehaj;Bahram Gharabaghi

  • Forecasting watermain failure using artificial neural network modelling

    Ahmad Asnaashari;Edward A. McBean;Bahram Gharabaghi;Donald Tutt

  • New insights into soil temperature time series modeling: linear or nonlinear?

    Hossein Bonakdari;Hamid Moeeni;Isa Ebtehaj;Mohammad Zeynoddin

  • Genetic-Algorithm-Optimized Sequential Model for Water Temperature Prediction

    Stephen Stajkowski;Deepak Kumar;Pijush Samui;Hossein Bonakdari

  • Predictive equation for longitudinal dispersion coefficient

    T. Disley;B. Gharabaghi;A. A. Mahboubi;E. A. McBean

  • Least limiting water range as affected by soil texture and cropping system

    A. Safadoust;P. Feizee;A.A. Mahboubi;B. Gharabaghi

Frequent Co-Authors

Hossein Bonakdari
Hossein Bonakdari University of Ottawa
Edward A. McBean
Edward A. McBean University of Guelph
Isa Ebtehaj
Isa Ebtehaj Université Laval
Amir Mosavi
Amir Mosavi Óbuda University
Lee E. Weiss
Lee E. Weiss Carnegie Mellon University
Spyros Beltaos
Spyros Beltaos Environment and Climate Change Canada
Brajesh Dubey
Brajesh Dubey Indian Institute of Technology Kharagpur
Prasad Daggupati
Prasad Daggupati University of Guelph
Ozgur Kisi
Ozgur Kisi Ilia State University
Ali Akbar Zinatizadeh
Ali Akbar Zinatizadeh Razi University

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