The accumulation levels of elements (Al, As, Li, Mg, Mn, S, Si, Ti, and V) in the soft tissue of mussels (Mytilus galloprovincialis), collected monthly in 2016, from Junuary to December, from sampling sites of the mussel farming facilities installed in the coastal areas of Al Hoceima, were investigated. The studied element levels were determined by using Inductively Coupled Plasma -Optical Emission Spectrometry (ICP-OES 720-ES). Descending order of the average element concentrations in soft tissue of M. galloprovincialis was S > Mg > Si> Al > Mn > Ti > As >V > Li. Element contents (Al, As, Mg, S and V) in tissue of mussels were significantly different (P < 0.05) between seasons, being highest in winter and lowest in summer. Strong correlations were observed between studied elements and chlorophyll a, indicating the importance of food for metal bioaccumulation in mussels in this period of the season. The observed strong correlations for metal levels in tissues of mussels can be explained by their common sources, which are associated with anthropogenic effects. The detected seasonal variations of investigated element concentrations in soft tissues of M. galloprovincialis could be attributed to physicochemical parameters such as temperature, salinity, dissolved oxygen, nutrients and food availability, as well as the biological status of the mussel. This study may provide basic information for detecting the current pollution status of investigated elements in Al Hoceima coasts from the Moroccan Mediterranean Sea using M. galloprovincialis as biological indicators.

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All Discharge data are among the most critical factors that must be considered when evaluating the management of water resources in a watershed. Simulation of rainfall-runoff is therefore an important element in assessing the impacts of serious flooding. In the present study, rainfall-runoff in the Nekkor watershed in Al Hoceima province was simulated using GIS, remote sensing and the Hydrologic Engineering Center Hydrologic Modeling System (HEC-HMS) model. The applicability, capacity and suitability of this model for rainfall runoff in the watershed were examined. The watershed parameters were generated using (HEC-GeoHMS) and ArcGIS. The model was calibrated using a daily data set that occurred in the watershed between 2003 and 2007, the validation period was from 2009 to 2012. Model performance was evaluated using a variety of different statistical indices to study the response and impact of rainfall-runoff. Model parameters were changed and calibration was performed using the Soil Conservation Service Curve Number loss method. Consistent and satisfactory performance in terms of peak discharge, total flood volume, timing of peak discharge and overall hydrograph adjustment effect was found. The determination coefficient (R2) for the validation period reached 0.73 versus 0.71 for the calibration period. The root mean square error (RMSE) is within the acceptable range. The relative bias (RE) demonstrates an overestimation in the calibration period and an underestimation in the validation period in the peak flows. These results will help decision makers to better manage water resources in this watershed and mitigate flood risks.

IoT devices in a distributed environment that work on shared data still have a necessity for a locking mechanism to safely take turns while updating shared data. However, we no longer have the notion of mutexes when working in a distributed system. That is where distributed locks and leader elections mechanisms come into the picture. In addition to its low power consumption, BROGO (Branch Optima to Global Optimum) Leader Election Algorithm offers a lot of powerful features so it is well suited for the IoT environment. This algorithm decreases energy consumption by 95\% compared with basic techniques. In this paper, we employ BROGO as a use case in the cloud storage domain.

Concentration of Copper, Lithium and Manganese were determined in the whole soft tissues of Mytilus galloprovincialis, collected from the two sites (Bni Ansar and Kariat Arekmane) of the Marchica lagoon of Morocco. The mussels were sampled on December and July of 2019. The ability of mussels to accumulate metals was arranged in the following order: Li < Cu < Mn. The levels of heavy metals in M. galloprovincialis were higher (P<0.05) in December (7.38, 2.63 and 11.10 mg/kg d.w., for Cu, Li and Mn, respectively) than July (5.56, 1.85 and 7.24 mg/kg d.w., for Cu, Li and Mn, respectively) because of the environmental parameters of the seawater and the physiological status of the animal. The trends of accumulations of investigated metals in mussel were higher (P < 0.05) in samples from Bni Ansar than from Kariat Arekmane sites, because of the urban and industrial discharge that submitted the zone of lagoon near to the Bni Ansar city. The Mn concentration in the mussel exceeded the acceptable guidelines limits indicated by international organization, which suggests that consumption of bivalves represents a threat to human health. The studied mussel is suitable biomonitors to investigate heavy metals contamination in the coastal area of the Moroccan Mediterranean coasts.