• Skip to primary navigation
  • Skip to main content
  • Skip to primary sidebar
  • Skip to footer

Centre for Artificial Intelligence and Cybersecurity – AIRI

  • Home
  • About Us
    • Vision, Mission and Goals
    • Center Activities
    • Center Faculty
    • Steering Committee
    • Press
  • Research
    • Scientific Projects
    • Research Papers
  • Laboratories
    • Machine Learning
    • Natural Speech & Language Processing
    • Blockchain Technology
    • Information Processing & Pattern Recognition
    • AI in Medicine
    • Data Mining
    • Computer Vision
    • Human-Computer Interaction
    • Maritime Cybersecurity
    • Autonomous Navigation
    • AI in Mechatronics
    • AI in Education
    • Hybrid Computational Methods
    • Drug Design
    • Legal Aspects of AI
    • Ethically Aligned AI
    • Cultural Complexity
  • Collaboration
    • Industry Collaboration
    • Industry Projects
    • International Collaboration
  • News
  • Contact

Estimating River Discharges in Highly Stratified Estuaries

11.11.2020

Estuaries are transitional areas between river and marine environments. Understanding the estuarine dynamics is important for various water management issues, such as predicting floods and droughts, assessing impacts of sea level rise, planning freshwater intake for irrigation, and managing sediment transport. One of the key requirements for understanding and predicting the estuarine dynamics is to have reliable river discharge data. Current approaches for estimating discharges in tidally affected river reaches have limitations and new concepts and computational methods are needed. Therefore, the main objective of this research is to develop a suitable computational method for estimating river discharges in highly stratified estuaries from field measurements. The pilot area will be the Neretva River estuary, the largest river in the eastern part of the Adriatic Basin. The methodology consists of data processing, signal analysis, numerical modelling, and development of a hybrid computational approach, which combines physically based models with machine learning methods. The project team will be established at the University of Rijeka, Faculty of Civil Engineering, and it will consist of experts in hydrology, coastal engineering, signal processing and machine learning. The team will be led by Nino Krvavica, an expert in estuarine hydrodynamics. The expected result and main scientific contribution from this research will be a methodology for estimating river discharges in highly stratified estuaries from known water stages and sea levels. Once the method is thoroughly tested and validated in the Neretva River, it could be applied to other coastal rivers in Croatia and implemented as a part of a national hydrological monitoring programme.

Duration:
2020–2022
Contributors:
Nino Krvavica, Igor Ružić, Jonatan Lerga, Dijana Oskoruš
Funded by:
University of Rijeka - ZIP UNIRI

Primary Sidebar

Latest Projects

Machine Learning for Knowledge Transfer in Medical Radiology

Estimating River Discharges in Highly Stratified Estuaries

Multilayer Framework for the Information Spreading Characterization in Social Media during the COVID-19 Crisis (InfoCoV)

European Network for assuring food integrity using non-destructive spectral sensors

National Competence Centres in the Framework of EuroHPC (EUROCC)

Latest Research Papers

A Comparison of Approaches for Measuring the Semantic Similarity of Short Texts Based on Word Embeddings

Indoor Localization Based on Infrared Angle of Arrival Sensor Network

Gravitational-Wave Burst Signals Denoising Based on the Adaptive Modification of Intersection of Confidence Intervals Rule

Survey of Neural Text Representation Models

Je li blockchain tehnologija budućnost digitalizacije zemljišnih knjiga?

Latest News

UNIRI Excellence Awards in Science

Talk on conference “Exploring Digital Legal Landscapes”

ICAIH 2020 conference presentation

International conference “Exploring Digital Legal Landscapes” – 11th of December, 2020

Sanda Martinčić-Ipšić talk the Data Science Conference

We provide the expertise for solving real world problems using AI

If your company wants to implement artificial intelligence in your products or services, or increase your level of cybersecurity, our multidisciplinary team of scientists is your ideal partner.

Contact us

Footer

Center for Artificial Intelligence and Cybersecurity
  • jlerga@airi.uniri.hr
  • +385 51 406 500

University of Rijeka

University of Rijeka

About the Center

  • About Us
  • News
  • Privacy Policy
  • Contact

Center Activities

  • Laboratories
  • Scientific Projects
  • Industry Projects
  • Research Papers
  • Industry Collaboration
  • International Collaboration

Footer bottom left

© 2020 Center for Artificial Intelligence and Cybersecurity, all rights reserved.

Designed & developed by Nela Dunato Art & Design