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Hossein Bonakdari

Hossein Bonakdari

D-Index & Metrics

Engineering and Technology

D-Index
56
Citations
9590
World Ranking
2895
National Ranking
122

Overview

Hossein Bonakdari is affiliated with the University of Ottawa in Canada. Their research predominantly focuses on environmental science and engineering, contributing extensively to the understanding of hydrological and environmental systems.

The scientist has a substantial number of publications in areas such as environmental engineering and water science, with key subfields including global and planetary change, civil and structural engineering, and artificial intelligence. Their work addresses various aspects of water resource management, flood risk assessment, and hydrological forecasting using advanced computational techniques.

Major research topics covered in their studies include:

  • Hydrological forecasting using AI
  • Hydrology and watershed management studies
  • Flood risk assessment and management
  • Hydraulic flow and structures
  • Hydrology and sediment transport processes
  • Hydrology and drought analysis
  • Energy load and power forecasting

Frequent co-authors who have collaborated with Hossein Bonakdari include:

  • Isa Ebtehaj
  • Bahram Gharabaghi
  • Silvio José Gumière
  • Mohammad Zeynoddin
  • Amir Noori

Bonakdari has published research in several prominent venues, such as:

  • Journal of Hydrology
  • Journal of Hydrologic Engineering
  • Journal of Irrigation and Drainage Engineering
  • Sustainability
  • Water

Selected recent papers by Hossein Bonakdari illustrate the scope and focus of their work:

  • Genetic-Algorithm-Optimized Sequential Model for Water Temperature Prediction, 2020, Sustainability
  • 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
  • Prediction of daily water level using new hybridized GS-GMDH and ANFIS-FCM models, 2021, Engineering Applications of Computational Fluid Mechanics
  • A novel machine learning tool for current and future flood susceptibility mapping by integrating remote sensing and geographic information systems, 2024, Journal of Hydrology
  • Integrative stochastic model standardization with genetic algorithm for rainfall pattern forecasting in tropical and semi-arid environments, 2020, Hydrological Sciences Journal

Best Publications

  • Novel approach for streamflow forecasting using a hybrid ANFIS-FFA model

    Zaher Mundher Yaseen;Zaher Mundher Yaseen;Isa Ebtehaj;Hossein Bonakdari;Ravinesh C. Deo

  • Application of firefly algorithm-based support vector machines for prediction of field capacity and permanent wilting point

    Mohammad Ali Ghorbani;Mohammad Ali Ghorbani;Shahaboddin Shamshirband;Davoud Zare Haghi;Atefe Azani

  • GMDH-type neural network approach for modeling the discharge coefficient of rectangular sharp-crested side weirs

    Isa Ebtehaj;Hossein Bonakdari;Amir Hossein Zaji;Hamed Azimi

  • Gene expression programming to predict the discharge coefficient in rectangular side weirs

    Isa Ebtehaj;Hossein Bonakdari;Amir Hossein Zaji;Hamed Azimi

  • EVALUATION OF SEDIMENT TRANSPORT IN SEWER USING ARTIFICIAL NEURAL NETWORK

    Isa Ebtehaj;Hossein Bonakdari

  • Rainfall Pattern Forecasting Using Novel Hybrid Intelligent Model Based ANFIS-FFA

    Zaher Mundher Yaseen;Zaher Mundher Yaseen;Mazen Ismaeel Ghareb;Isa Ebtehaj;Hossein Bonakdari

  • Performance Evaluation of Adaptive Neural Fuzzy Inference System for Sediment Transport in Sewers

    Isa Ebtehaj;Hossein Bonakdari

  • 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

  • Novel Hybrid Data-Intelligence Model for Forecasting Monthly Rainfall with Uncertainty Analysis

    Zaher Mundher Yaseen;Isa Ebtehaj;Sungwon Kim;Hadi Sanikhani

  • Turbulent velocity profile in fully-developed open channel flows

    Hossein Bonakdari;Frédérique Larrarte;Laurent Lassabatere;Claude Joannis

  • Comparative analysis of GMDH neural network based on genetic algorithm and particle swarm optimization in stable channel design

    Saba Shaghaghi;Hossein Bonakdari;Azadeh Gholami;Isa Ebtehaj

  • Implementation of Univariate Paradigm for Streamflow Simulation Using Hybrid Data-Driven Model: Case Study in Tropical Region

    Zaher Mundher Yaseen;Wan Hanna Melini Wan Mohtar;Ameen Mohammed Salih Ameen;Isa Ebtehaj

  • Adaptive neuro-fuzzy inference system multi-objective optimization using the genetic algorithm/singular value decomposition method for modelling the discharge coefficient in rectangular sharp-crested side weirs

    Fatemeh Khoshbin;Hossein Bonakdari;Seyed Hamed Ashraf Talesh;Isa Ebtehaj

  • 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

  • Numerical Analysis and Prediction of the Velocity Field in Curved Open Channel Using Artificial Neural Network and Genetic Algorithm

    H. Bonakdari;S. Baghalian;F. Nazari;M. Fazli

  • Pareto genetic design of group method of data handling type neural network for prediction discharge coefficient in rectangular side orifices

    Isa Ebtehaj;Hossein Bonakdari;Fatemeh Khoshbin;Hamed Azimi

  • 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

  • A reliable linear stochastic daily soil temperature forecast model

    Mohammad Zeynoddin;Hossein Bonakdari;Isa Ebtehaj;Fatemeh Esmaeilbeiki

  • Forecasting monthly inflow with extreme seasonal variation using the hybrid SARIMA-ANN model

    Hamid Moeeni;Hossein Bonakdari

  • Extreme learning machine assessment for estimating sediment transport in open channels

    Isa Ebtehaj;Hossein Bonakdari;Shahaboddin Shamshirband

Frequent Co-Authors

Isa Ebtehaj
Isa Ebtehaj Université Laval
Bahram Gharabaghi
Bahram Gharabaghi University of Guelph
Shahab S. Band
Shahab S. Band National Yunlin University of Science and Technology
Amir Mosavi
Amir Mosavi Óbuda University
Zaher Mundher Yaseen
Zaher Mundher Yaseen King Fahd University of Petroleum and Minerals
Ali Akbar Zinatizadeh
Ali Akbar Zinatizadeh Razi University
Johanne Martel-Pelletier
Johanne Martel-Pelletier University of Montreal
Dalibor Petković
Dalibor Petković University of Nis
Ravinesh C. Deo
Ravinesh C. Deo University of Southern Queensland
Pijush Samui
Pijush Samui National Institute of Technology Patna

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