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With new challenges related to climate change, such as irregular precipitation, drought, and water scarcity, water management has become a key driver of important strategies in all countries worldwide. Indeed, the effective management of water resources relies on a well-structured process based on data collection, continuous coordination between various stakeholders, and an improved management system (Hicham et al. in Processing and decisions relating to water resources data: the case of Morocco. SHS web conference, 2021 [1]). To handle the increasing volume of collected and generated data, big data (BDA) has become an essential tool, offering enhanced capabilities for data processing, real-time monitoring, and predictive assessments. However, adopting these technologies alone is not sufficient; the coordination of data flow and its relevance is equally important. A forward-looking study on user needs, data flow, and requirements is just as crucial as the implementation of an information system for water resources management based on big data.

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Water Data Management in Morocco—Enhancing Decision-Making Through Data

  • 章节

  • 发表日期：

    2025年

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  • Hicham Jamil,
  • Elhassan Jamal,
  • Youssef Rissouni,
  • Bouabid El Mansouri,
  • Aniss Moumen

摘要

With new challenges related to climate change, such as irregular precipitation, drought, and water scarcity, water management has become a key driver of important strategies in all countries worldwide. Indeed, the effective management of water resources relies on a well-structured process based on data collection, continuous coordination between various stakeholders, and an improved management system (Hicham et al. in Processing and decisions relating to water resources data: the case of Morocco. SHS web conference, 2021 [1]). To handle the increasing volume of collected and generated data, big data (BDA) has become an essential tool, offering enhanced capabilities for data processing, real-time monitoring, and predictive assessments. However, adopting these technologies alone is not sufficient; the coordination of data flow and its relevance is equally important. A forward-looking study on user needs, data flow, and requirements is just as crucial as the implementation of an information system for water resources management based on big data.