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Journal of Hydroinformatics Special Issue on

Artificial Intelligence and Machine Learning for Hydroinformatics



Tasks of hydroinformatics are traditionally performed either through complex physically based mathematical models or statistically based stochastic models. Physically based mathematical models require accurate equations of established physical/chemical phenomena of the processes to be modelled, which often have complex interactions. On the other hand, stochastic models are unable to provide deterministic values and as such, results are not easily interpretable by common end-users. Recently, Artificial Intelligence (AI) and Machine Learning (ML) have emerged, which are able to overcome the above-mentioned issues of traditional stochastic and deterministic models. AI and ML are capable to establish complex non-linear relationships between input and output variables, without having in-depth understanding or established equations of the physical processes involved. Moreover, AI and ML models are capable to provide deterministic values, which is helpful for real-life forecasting of hydrologic/hydraulic variables. AI and ML have been successfully used in many different fields including hydrology and climate sciences. This special issue focuses on uses of AI and its branches for the purpose of hydroinformatics. 

We are pleased to invite you to submit a manuscript to Journal of Hydroinformatics for peer review and possible publication in a Special Issue entitled 'Artificial Intelligence and Machine Learning for Hydroinformatics'.


Relevant topics include:

  • Hydroclimate data analysis using AI techniques
  • Employing AI approaches in hydrological modelling (both quantity and quality modelling)
  • Using AI approach for analysis of hydrological extremes (i.e., floods and droughts)
  • AI-enabled strategies for climate change adaptation and mitigation
  • Real-time control and monitoring of hydroclimate data using AI techniques
  • AI-based hydrological decision-making and support systems


Key dates:

Deadline for manuscript submission: July 31st, 2024

Expected publication: Articles will be published online as soon as possible after acceptance.


Guest Editors:

Prof. Monzur Imteaz, Swinburne University of Technology, Australia

Prof. Ataur Rahman, Western Sydney University, Australia

Dr. Gokhan Yilmaz, La Trobe University, Australia


How to submit:

Please make sure that your paper follows the Instructions to Authors of the journal, before submitting your paper directly to Journal of Hydroinformatics’ peer review system. Then choose the article type – ‘Special Issue Article OA’ and the submission category – Special Issue: AI for Hydroinformatics. This will send your paper to one of the Guest Editors.

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