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Innovations in Water Resource Management: Integrating Advanced Analytics, AI, and System Modeling

This special issue belongs to the section “New Sensors, New Technologies and Machine Learning in Water Sciences“.

Special Issue Information

Dear Colleagues,

The management of water resources is facing unprecedented challenges driven by climate change, population growth, and aging infrastructure. These pressures demand a paradigm shift from traditional approaches toward more adaptive, efficient, and data-informed strategies. By leveraging advancements in data analytics, artificial intelligence (AI), and sophisticated system modeling, we can develop more robust predictive models, optimize system operations, and create resilient decision-support frameworks. The true innovation, however, lies in the integration of these powerful computational tools, bridging the gap between data-driven insights and fundamental physical processes.

This Special Issue aims to showcase cutting-edge research at the intersection of data science and water engineering, highlighting the integration of advanced analytics, AI, and system modeling to address complex water challenges. We invite contributions on a broad range of topics. Topics of interest include, but are not limited to, the following:

  • AI and machine learning applications in hydrology and water resources;
  • Hybrid modeling: combining physics-based and data-driven approaches;
  • Data-driven approaches for agricultural water management, including precision irrigation, evapotranspiration modeling, and yield forecasting;
  • Development of digital twins for urban and rural water systems;
  • Predictive modeling for flood, drought, and water quality forecasting;
  • Data analytics and optimization for water distribution and treatment systems;
  • Smart sensing, IoT applications, and big data analytics for water management;
  • Climate change impact assessment using advanced computational methods;
  • Decision support systems for sustainable and integrated water management;
  • Innovations in real-time monitoring, control, and automation of water infrastructure.

Dr. Saman Maroufpoor
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Water is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • water resource management
  • artificial intelligence
  • machine learning
  • data-driven modeling
  • hydrological forecasting
  • groundwater and surface water systems
  • climate change impacts
  • flood and drought forecasting
  • agricultural water management

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Water - ISSN 2073-4441