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Journal of Hydroinformatics Special Issue on

Sustainable River Ecosystem Management: Addressing Environmental and Hydromorphological Dynamics with GeoAI



The Special Issue focuses on the sustainable river ecosystem management that stands as a critical endeavor in today's environmental landscape, aiming to balance the intricate interplay between ecological preservation and human needs. Leveraging advancements in GeoAI (Geospatial Artificial Intelligence) offers a promising avenue to address the multifaceted challenges posed by environmental and hydromorphological dynamics. By integrating satellite imagery, GIS (Geographic Information Systems), and machine learning algorithms, GeoAI empowers decision-makers with real-time insights into river systems, facilitating proactive measures for conservation and restoration.

This interdisciplinary approach enables the identification of key ecological indicators, such as habitat quality, water flow patterns, and sediment transport dynamics, allowing for targeted interventions to mitigate the impacts of anthropogenic activities and climate change. Furthermore, GeoAI facilitates the optimization of resource allocation and policy formulation, fostering a holistic approach to sustainable river management that harmonizes ecological integrity with societal needs. Embracing GeoAI in river ecosystem management signifies a paradigm shift towards adaptive and data-driven strategies, paving the way for a resilient and thriving aquatic environment for generations to come.

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 ‘Sustainable River Ecosystem Management: Addressing Environmental and Hydromorphological dynamics with GeoAI’.


Relevant topics include:

  • Applications of GeoAI in monitoring and assessing river ecosystem health.
  • Integration of remote sensing data and GIS technologies in river management.
  • Predictive modelling of hydrological and hydromorphological processes using AI techniques.
  • Assessment of anthropogenic impacts on river ecosystems and strategies for mitigation.
  • Use of GeoAI for mapping and monitoring habitat quality and biodiversity in rivers.
  • Decision support systems for sustainable river basin management.
  • Implementation of machine learning algorithms for real-time monitoring of water quality and flow dynamics.
  • Incorporation of stakeholder engagement and participatory approaches in river ecosystem management.
  • Case studies and best practices in the application of GeoAI for sustainable river management.
  • Policy implications and governance frameworks for integrating GeoAI into river ecosystem management strategies.


Key dates:

Deadline for manuscript submission: December 31st, 2024

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


Guest Editors:

Dr. Shray Pathak, Indian Institute of Technology Ropar, Rupnagar, Punjab, India

Dr. Pankaj Gupta, Indian Institute of Technology Delhi, India

Dr. Daniel Jato-Espino, Universidad Internacional de Valencia – VIU, Valencia, Spain


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’s peer review system. Then choose the article type – ‘Special Issue Article OA’ and the submission category – Special Issue: GeoAI for River Ecosystem Management. This will send your paper to one of the Guest Editors.

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