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This paper delves into the adoption of Big Data Analytics (BDA) within the Moroccan water management sector, specifically examining data collection, management flow, and decision-making processes. Through insightful interviews with representatives from the public sector responsible for water management, this study investigates the pivotal role of effective data governance in optimizing water resources[1]. Given the centrality of natural resources, particularly water, in national development strategies, the imperative for robust water governance is underscored. The impact of climate change further highlights the need for sufficient data collection and an efficient data management system[2]. In the management of natural resources, the accumulation of extensive data necessitates the application of BDA technology for streamlined processing. While BDA provides a solution for optimal data utilization, this article emphasizes the importance of maintaining control over processing and decision-making to ensure the success of functional and technical designs. The outcomes contribute to the formulation of an adoption model for BDA in the Moroccan water sector, facilitating well-informed and strategic decision-making for sustainable water resource management.

This work aims to characterize the morphosedimentaty dynamics of the shores of Al-Hoceima Bay through geochemical and mineralogical analysis of surface sediments. The results reveal a direct relationship between marine hydrodynamic forcing on the one hand and detrital inputs from land on the other. Calcimetric analysis makes it possible to highlight the transport and deposition processes at the beaches of Al-Hoceima bay. The difference in the reasonably high carbonate contents in the western beaches (Isli, Cala Bonita and Quemado) (> 60%) and low in the beaches of the central and eastern zone (Sfiha, Souani, Salina and Lharch) (≈ 15%) are mainly due to the influence of coastal currents, littoral drift, and fluvial action. The higher levels of heavy minerals in Lharch beach (18%) are expressed by volcanic outcrops of Cap Quelates and Jbel Tamsamen. The low values at the Souani and Tayth beaches (7% on average) are due to erosion by the two types of coastal drift, NW-SE and NNE-SSW, which carry the sediments of schist origin brought by the Oueds Ghiss and Nekôr. In contrast, the reasonably high contents in the Sfiha beach (12%) are attributed to the accumulation of allochthonous sediments by NW-SE littoral drift which carries sediments of volcanometamorphic origin from Rass Quelates.