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Sustainability of a hydraulic facility and flood risk of its downstream section: the case of the Foum El-Gherza dam (Ziban east, Algeria)

Zakarya Maou, Bougherara Ahmed, Habibi Yahyaoui

Geomatics, Landmanagement and Landscape

2023

no. 2

7--22

Due to advanced silting, the Foum El-Gherza dam has lost more than two thirds of its initial capacity (47 hm3) and is no longer able to withstand the floods that threaten its downstream section. Indeed, the damage recorded in recent years has confirmed the vulnerability of the man-made structures located on both banks of the Oued Labiod. Thus, we believe that the hydrological behaviour of the catchment area is no longer influenced by the dam. Therefore, the hydrological study involved a critical analysis (homogeneity tests) of the hydro-climatic data in order to highlight the characteristics of the historical events recorded during the period 1950–2019. The frequency study of the maximum daily rainfall and floods recorded at the dam allowed us to determine the rainfall and flow rates of the return periods (10, 25, 50, 100, 500 and 1000 years). The flooding of the 28 October 2011 were used as a standard for the calibration of the model calculated by the HEC-Ras software. After validation of the model, a prediction of the water levels and flood extent was made for the selected return periods. The results obtained show that a part of the town of Seryana (district located on the edge of the right bank) suffers from flooding proportionally to the return periods of the floods. In addition, some agricultural areas bordering the Oued are also affected by the floodings. The hazard modelling maps can be considered as a basis for a flood risk prevention plan (PPRI) and as a decision support tool.

Analysis of social resilience to the novel coronavirus (COVID-19) in Algeria

Habibi Yahyaoui, Guellouh Sami, Filali Abdelwahhab, Berchiche Razika

Geomatics, Landmanagement and Landscape

2020

no. 3

19--29

This paper is an attempt to understand and overcome the peculiarity of the novel Coronavirus (Covid-19), described as a pandemic by the World Health Organization. Covid-19 is spreading around the world, and particularly in Algeria, which announced the identification of the first case on the 26 February 2020. The number of confirmed cases is increasing day by day. Currently, we experience the spread of the word “resilience” in most diverse research areas and policy fields of modern society. Social resilience is the capacity of a social entity to proactively adapt to and recover from disturbances that are perceived within the social entity to fall outside the range of normal; this includes expected and unexpected disturbances. The main objective of this study is to contribute towards connecting the socio-economic vectors of this pandemic, and to integrate them into the GIS (Geographic Information System), in order to analyze the level of social resilience in Algeria. The analysis adopted the method known as the Hierarchical multi-criteria analysis (AHP), which defines the relative importance of each characteristics. The findings of our research show that the factors of high unemployment and housing occupancy rates, high population density and the share of citizens aged over 60 directly influence the reduction in the level of social resilience to the novel coronavirus.