The Use of Big Data in Water Resources Management

Sara Bouziane, Badraddine Aghoutane, Aniss Moumen, Ali Sahlaoui, Anas El Ouali

2021

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.

Paper Citation

in Harvard Style

Bouziane S., Aghoutane B., Moumen A., Sahlaoui A. and El Ouali A. (2021). The Use of Big Data in Water Resources Management. In Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning - Volume 1: BML, ISBN 978-989-758-559-3, pages 38-44. DOI: 10.5220/0010728000003101

in Bibtex Style

@conference{bml21,
author={Sara Bouziane and Badraddine Aghoutane and Aniss Moumen and Ali Sahlaoui and Anas El Ouali},
title={The Use of Big Data in Water Resources Management},
booktitle={Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning - Volume 1: BML,},
year={2021},
pages={38-44},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010728000003101},
isbn={978-989-758-559-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning - Volume 1: BML,
TI - The Use of Big Data in Water Resources Management
SN - 978-989-758-559-3
AU - Bouziane S.
AU - Aghoutane B.
AU - Moumen A.
AU - Sahlaoui A.
AU - El Ouali A.
PY - 2021
SP - 38
EP - 44
DO - 10.5220/0010728000003101