Authors:
Sara Bouziane
1
;
Badraddine Aghoutane
1
;
Aniss Moumen
2
;
Ali Sahlaoui
3
and
Anas El Ouali
4
Affiliations:
1
Informatics and Applications Laboratory, Science Faculty of Meknes, Moulay Ismail University, Meknes, Morocco
;
2
Ibn Tofail University, National School of Applied Sciences, Kenitra, Morocco
;
3
Laboratory of Geo-Engineering and Environment, Faculty of Sciences, Moulay Ismail University, Meknes, Morocco
;
4
Department of Environment, Functional ecology and environmental engineering laboratory, Faculty of Sciences and Technology, Sidi Mohamed Ben Abdellah University, Fez, Morocco
Keyword(s):
Big Data Analytics, Water Resources Management, Information System, IoT.
Abstract:
Water management has become an essential vector in the Moroccan government policy since independence. The volume of the water data, and the diversity of the actors, lead us to think about new methods of analysis to manage water resources with efficiency. The development of new technologies, such as Big Data, is an essential tool for assuring this management. Researchers have used these technologies to develop several architectures and algorithms to deal with the water scarcity concern. In this paper, we identify research works related to the topics of water and Big Data, and we discuss the different proposed architectures, according to a review of systemic exploratory literature. In the end, we draw up our perspectives.