World's Best Scientists 2026 revealed!
Reza Kerachian

Reza Kerachian

D-Index & Metrics

Engineering and Technology

D-Index
47
Citations
5855
World Ranking
5012
National Ranking
67

Environmental Sciences

D-Index
48
Citations
6159
World Ranking
5646
National Ranking
23

Overview

Reza Kerachian is a researcher affiliated with the University of Tehran in Iran, specializing in environmental science and engineering. Their work primarily focuses on water resources management, with significant contributions to optimization, hydrology, and ecosystem services related to water systems.

The main fields of study in their research include:

  • Environmental Science
  • Engineering

Within these broader areas, their work delves into several subfields such as:

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

Kerachian's research covers a range of topics, notably:

  • Water resources management and optimization
  • Flood Risk Assessment and Management
  • Water-Energy-Food Nexus Studies
  • Hydrology and Watershed Management Studies
  • Water Systems and Optimization
  • Hydrological Forecasting Using AI
  • Land Use and Ecosystem Services

The scientist has published in multiple venues, with several recurring journals where their work frequently appears:

  • Journal of Environmental Management (12 publications)
  • The Science of The Total Environment (9 publications)
  • Journal of Hydrology (9 publications)
  • Water Resources Management (5 publications)
  • Sustainable Cities and Society (4 publications)

Notable recent papers by Reza Kerachian include:

  • An agent-based conflict resolution model for urban water resources management, 2020, Sustainable Cities and Society
  • Evaluating and improving the sustainability of ecosystem services in river basins under climate change, 2021, The Science of The Total Environment
  • Evaluating water resources management scenarios considering the hierarchical structure of decision-makers and ecosystem services-based criteria, 2020, The Science of The Total Environment
  • Adaptive precipitation nowcasting using deep learning and ensemble modeling, 2022, Journal of Hydrology
  • Evaluating the resilience of water resources management scenarios using the evidential reasoning approach: The Zarrinehrud river basin experience, 2021, Journal of Environmental Management

Frequent collaborators in the scientist's work include:

  • Massoud Behboudian
  • Mohammad Javad Emami-Skardi
  • Mehri Dolatshahi
  • Saeed Ashrafi
  • Soroush Sharghi

Best Publications

  • A stochastic conflict resolution model for water quality management in reservoir–river systems

    Reza Kerachian;Mohammad Karamouz

  • Evaluating the efficacy of SVMs, BNs, ANNs and ANFIS in wave height prediction

    Iman Malekmohamadi;Iman Malekmohamadi;Mohammad Reza Bazargan-Lari;Reza Kerachian;Mohammad Reza Nikoo

  • Optimal Inter-Basin Water Allocation Using Crisp and Fuzzy Shapley Games

    Mojtaba Sadegh;Najmeh Mahjouri;Reza Kerachian

  • Developing a master plan for hospital solid waste management: a case study.

    Mohammad Karamouz;Banafsheh Zahraie;Reza Kerachian;Nemat Jaafarzadeh

  • Monthly Water Resources and Irrigation Planning: Case Study of Conjunctive Use of Surface and Groundwater Resources

    Mohammad Karamouz;Reza Kerachian;Banafsheh Zahraie

  • Optimal design of low impact development practices in response to climate change

    Seyed Hamed Ghodsi;Zahra Zahmatkesh;Erfan Goharian;Reza Kerachian

  • Ranking solutions of multi-objective reservoir operation optimization models using multi-criteria decision analysis

    Bahram Malekmohammadi;Banafsheh Zahraie;Reza Kerachian

  • Deriving operating policies for multi-objective reservoir systems: Application of Self-Learning Genetic Algorithm

    Mehrdad Hakimi-Asiabar;Seyyed Hassan Ghodsypour;Reza Kerachian

  • Optimal reservoir operation considering the water quality issues: A stochastic conflict resolution approach

    Reza Kerachian;Mohammad Karamouz

  • A Conflict-Resolution Model for the Conjunctive Use of Surface and Groundwater Resources that Considers Water-Quality Issues: A Case Study

    Mohammad Reza Bazargan-Lari;Reza Kerachian;Abbas Mansoori

  • Developing monthly operating rules for a cascade system of reservoirs: Application of Bayesian Networks

    Bahram Malekmohammadi;Reza Kerachian;Banafsheh Zahraie

  • A game theoretic approach for trading discharge permits in rivers.

    Mohammad Hossein Niksokhan;Reza Kerachian;Mohammad Karamouz

  • A fuzzy game theoretic approach for groundwater resources management: Application of Rubinstein Bargaining Theory

    Reza Kerachian;Mahsa Fallahnia;Mohammad Reza Bazargan-Lari;Abbas Mansoori

  • Characterizing an unknown pollution source in groundwater resources systems using PSVM and PNN

    Seyyed Nasser Bashi-Azghadi;Reza Kerachian;Mohammad Reza Bazargan-Lari;Kazem Solouki

  • A probabilistic water quality index for river water quality assessment: a case study

    Mohammad Reza Nikoo;Reza Kerachian;Siamak Malakpour-Estalaki;Seyyed Nasser Bashi-Azghadi

  • A simplified model for reservoir operation considering the water quality issues: Application of the Young conflict resolution theory

    Ehsan Shirangi;Reza Kerachian;Mahmood Shafai Bajestan

  • Developing real time operating rules for trading discharge permits in rivers: Application of Bayesian Networks

    Seyyed Morteza Mesbah;Reza Kerachian;Mohammad Reza Nikoo

  • Design of on-line river water quality monitoring systems using the entropy theory: a case study

    Mohammad Karamouz;Amir Khajehzadeh Nokhandan;Reza Kerachian;Čedo Maksimovic

  • Developing operating rules for reservoirs considering the water quality issues: Application of ANFIS-based surrogate models

    Foad Soltani;Reza Kerachian;Ehsan Shirangi

  • Application of Genetic Algorithms and Artificial Neural Networks in Conjunctive Use of Surface and Groundwater Resources

    Mohammad Karamouz;Mahmoud M. Rezapour Tabari;Reza Kerachian

  • Design of River Water Quality Monitoring Networks: A Case Study

    Mohammad Karamouz;Reza Kerachian;Masih Akhbari;Bahareh Hafez

Frequent Co-Authors

Mohammad Karamouz
Mohammad Karamouz University of Tehran

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