| Issue |
E3S Web Conf.
Volume 489, 2024
4th International GIRE3D Congress “Participatory and Integrated Management of Water Resources in Arid Zones” (GIRE3D 2023)
|
|
|---|---|---|
| Article Number | 04018 | |
| Number of page(s) | 6 | |
| Section | Numerical Modeling, Remote Sensing, Geomatic & Application of Intelligence Artificielle | |
| DOI | https://doi.org/10.1051/e3sconf/202448904018 | |
| Published online | 09 February 2024 | |
Data process and water resources management in Morocco: Issues and challenges
1 Systems Engineering Laboratory, Kenitra ENSA, Ibn Tofail University, Morocco
2 Natural Resources Geosciences Laboratory, Kenitra Faculty of Sciences, Ibn Tofail University, Morocco
* hicham_jamil97@yahoo.fr
** jamal.elhassan@gmail.com
This article will examine the data collection process, management flow, and decision-making process through interviews with public sector representatives responsible for water management.
Natural resources have always been at the heart of the world’s most important government strategies. The development of economies is contingent upon the effective management of a country’s water resources, which in turn requires good water governance that depends on the collection of sufficient data and an effective data management system (1), especially with climate change continuing to impact this resource around the world.
The management of natural resources, in general, necessitates collecting data and raw measurements, resulting in storing a large volume of data. Therefore, Big Data Analytics (BDA) technology is considered a primary means of processing such data. However, while Big Data technologies offer a suitable solution for ensuring optimal and rapid use of data, the success of functional and technical designs can only be guaranteed by maintaining complete control over the processing and decision-making processes.
Key words: Information System / Water Resources / Big Data Analytics / Water Resources Management
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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