Fatemeh Avazpour | Hydrology | Best Researcher Award

Published on by Environmental Scientists

Dr. Fatemeh Avazpour | Hydrology | Best Researcher Award

Yazd University | Iran

Dr. Fatemeh Avazpour is a dedicated researcher and water-civil engineer specializing in hydrology, hydraulic structures, and water resource management. Her research integrates machine learning, deep learning, and numerical modeling to address complex challenges in river flow, sediment transport, and the impacts of climate change on hydrological systems. She has developed hybrid models combining traditional hydrological approaches with artificial intelligence to improve the accuracy of streamflow and sediment load predictions. Her academic and research journey demonstrates strong analytical expertise, with a focus on GIS and remote sensing applications for watershed management. Dr. Fatemeh Avazpour has contributed to numerous peer-reviewed publications on climate impact assessments, runoff simulation, and sediment prediction, and co-authored technical books on fluid flow and sediment modeling. Recognized for her academic excellence, she has received several awards, including the Best Faculty Award and Top Researcher Recognition. Her international research experience at the University of Oulu, Finland, further strengthened her expertise in advanced hydrological modeling and data-driven water management. She has earned 20 citations by 20 documents, published 4 research papers, and holds an h-index of 2. Dr. Fatemeh Avazpour remains committed to advancing sustainable solutions in the fields of hydraulic engineering, environmental systems, and artificial intelligence applications in hydrology, while actively contributing to professional associations in water and watershed management.

Profiles: Scopus 

Featured Publications

Avazpour, F., Hadian, M., Talebi, A., & Torabi Haghighi, A. (2025, June). Flow discharge and suspended sediment load prediction in multiple sites of a basin: A comparative study of classical AI and deep learning approaches. Journal of Acta Geophysica.

Avazpour, F., Hadian, M., Talebi, A., & Torabi Haghighi, A. (2025, April). Impact of climate change on river flow using a hybrid model of LARS_WG and LSTM: A case study in the Kashkan Basin. Results in Engineering Journal.

Parsaie, A., Avazpour, F., & Afaridegan, E. (2025, March). Numerical modeling of optimal location of drainage and cutoff wall under small concrete dams. Applied Water Science.

Avazpour, F., Hadian, M., & Talebi, A. (2025, September). Performance evaluation of the conceptual IHACRES model in simulating runoff in data-scarce semi-arid watersheds. The Journal of Iranian Water Research.

Avazpour, F., Hadian, M., & Talebi, A. (2024, June). Evaluation of the performance of machine learning models and optimization algorithms in predicting flow discharge of Kashkan River. Watershed Management Research Journal.

Hans Jørgen Henriksen | Water Resources | Best Researcher Award

Published on by Environmental Scientists

Mr. Hans Jørgen Henriksen | Water Resources | Best Researcher Award

Hydrologist at Geological Survey of Denmark and Greenland GEUS, Denmark

Mr. Hans Jørgen Henriksen is a seasoned hydrologist with extensive experience in both national and international research. He earned his M.Sc. in Civil Engineering with a specialization in Hydrology from the Technical University of Denmark in 1982 and later completed a Master’s in Psychology of Organization from Roskilde University in 2005. Since 1993, he has been working as a Senior Advisor in the Department of Hydrology at the Geological Survey of Denmark and Greenland (GEUS). Mr. Henriksen has also held positions at organizations such as Rambøll and Hedeselskabet earlier in his career. He has led and participated in numerous high-impact projects related to climate change adaptation, groundwater modeling, and disaster risk reduction. With a publication record of 39 papers and over 2,600 citations, Mr. Henriksen’s work is highly regarded in the field of hydrology and environmental science.

Profile

Scopus

Google Scholar

Orcid

Education 🎓

Mr. Hans Jørgen Henriksen holds a Master of Science (M.Sc.) in Civil Engineering with a specialization in Hydrology from the Technical University of Denmark, which he completed in 1982. In addition to his technical expertise in hydrology, he pursued further interdisciplinary education and earned a Master’s in Psychology of Organization (MPO) from Roskilde University in 2005. This combination of engineering and organizational psychology equips Mr. Henriksen with a unique perspective on both the technical and managerial aspects of hydrological research and projects.

Experience 💼

Mr. Hans Jørgen Henriksen has a distinguished career in hydrology, spanning several decades with significant contributions to both national and international research projects. Since 1993, he has served as a Senior Advisor in the Department of Hydrology at the Geological Survey of Denmark and Greenland (GEUS), where he has been instrumental in advancing hydrological research and climate change adaptation strategies. His past roles include working as a Hydrologist at Rambøll (1989-1993), Tage Sørensen (1987-1989), and Hedeselskabet (1982-1987), where he focused on hydrological and environmental assessments. Mr. Henriksen has been the project leader and a key participant in various high-profile projects, such as the NORDRESS project (2014-2019) on resilience and societal security, the AquaClew project (2017-2020) focused on advancing climate services for European water systems, and the NAIAD project (2017-2019), which assessed nature-based insurance values. Additionally, he has contributed to the development of the Hydrological Information and Prognosis System (HIP) as part of Denmark’s Digital Strategy. His leadership and expertise have been central to the success of multiple EU research initiatives, including NEWATER (2006-2009), which addressed adaptive management strategies under uncertainty.

Research Interests 🔍

Mr. Hans Jørgen Henriksen’s research interests are deeply rooted in hydrology, climate change adaptation, and the integration of advanced modelling techniques for water management. His primary focus is on hydrological modelling, particularly the effects of climate change on groundwater and extreme runoff. He has explored innovative approaches in shallow groundwater level modelling and integrated assessment, utilizing advanced tools such as the HUGIN QGIS plug-in for machine learning. Mr. Henriksen is also involved in developing digital twin technologies for climate change adaptation, water management, and disaster risk reduction. His work emphasizes the use of high-resolution water table modelling and knowledge-guided decision-making using machine learning algorithms, such as gradient boosting decision trees. Additionally, he has conducted significant research on climate projections, aquifer resilience, and river basin management, with an aim to improve the management and sustainability of water resources under changing environmental conditions.

Publications Top Notes 📚

Title: Selecting among five common modelling approaches for integrated environmental assessment and management

  • Authors: RA Kelly, AJ Jakeman, O Barreteau, ME Borsuk, S ElSawah, SH Hamilton, et al.
  • Journal: Environmental Modelling & Software
  • Volume: 47
  • Pages: 159-181
  • Cited by: 833
  • Year: 2013

Title: Modelling guidelines––terminology and guiding principles

  • Authors: JC Refsgaard, HJ Henriksen
  • Journal: Advances in Water Resources
  • Volume: 27
  • Issue: 1
  • Pages: 71-82
  • Cited by: 590
  • Year: 2004

Title: Methodology for construction, calibration and validation of a national hydrological model for Denmark

  • Authors: HJ Henriksen, L Troldborg, P Nyegaard, TO Sonnenborg, JC Refsgaard, et al.
  • Journal: Journal of Hydrology
  • Volume: 280
  • Issue: 1-4
  • Pages: 52-71
  • Cited by: 478
  • Year: 2003

Title: Quality assurance in model based water management–review of existing practice and outline of new approaches

  • Authors: JC Refsgaard, HJ Henriksen, WG Harrar, H Scholten, A Kassahun
  • Journal: Environmental Modelling & Software
  • Volume: 20
  • Issue: 10
  • Pages: 1201-1215
  • Cited by: 244
  • Year: 2005

Title: Public participation modelling using Bayesian networks in management of groundwater contamination

  • Authors: HJ Henriksen, P Rasmussen, G Brandt, D Von Buelow, FV Jensen
  • Journal: Environmental Modelling & Software
  • Volume: 22
  • Issue: 8
  • Pages: 1101-1113
  • Cited by: 236
  • Year: 2007

Title: Assessment of exploitable groundwater resources of Denmark by use of ensemble resource indicators and a numerical groundwater–surface water model

  • Authors: HJ Henriksen, L Troldborg, AL Højberg, JC Refsgaard
  • Journal: Journal of Hydrology
  • Volume: 348
  • Issue: 1-2
  • Pages: 224-240
  • Cited by: 206
  • Year: 2008

Title: Bayesian networks in environmental and resource management

  • Authors: DN Barton, S Kuikka, O Varis, L Uusitalo, HJ Henriksen, M Borsuk, et al.
  • Journal: Integrated Environmental Assessment and Management
  • Volume: 8
  • Issue: 3
  • Pages: 418-429
  • Cited by: 205
  • Year: 2012

Conclusion

Mr. Hans Jørgen Henriksen’s long-standing contributions to hydrology, climate change research, and water management, alongside his ability to integrate innovative tools like digital twins and machine learning into his research, make him a prime candidate for the Research for Best Researcher Award. His career is marked by influential research, leadership in high-profile projects, and a commitment to addressing global environmental challenges through science and technology.