Floods become major concerns in most gobe regions due to socio-economic and environmental consequences caused by these phenomena in recent decades. Most Algerian cities are exposed to flood risks and suffered from its consequences. The purpose of this paper is the spatialization of flood hazard in the city of Chemora (Algeria) by hydraulic modelling in a GIS environment whose objective is prevention, which requires a set of hydrological and hydraulic informations in order to achieve a comprehensive and effective management. 

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.

Land degradation due to soil erosion constitutes a serious threat in the Mediterranean regions, and particularly in Algeria. The objective of this study is to characterized the vulnerability to soil erosion in Constantine city (county seat of the Wilaya of the same name) using a spatial multi-criteria method. The followed approach focused on interaction of several factors (climate, topography, lithology and land cover) Acting erosive process by means of Weighted Linear Combination (WLC) that facilitated the quantification of the global effect of these factors in fine and objective manner. The results show that more than 50% of the city’s surface is exposed to high vulnerability, which requires the implementation of soil erosion control measures.

The aim of this study is to select the appropriate sites for the designation of future industrial zones in the province of Constantine, Algeria, using a geographic information system (GIS) and Remote Sensing, including the appropriate technical and environmental requirements.
The identification of appropriate sites for the establishment of new industrial zones in alignment with a planning process based on a set of socio-economic and environmental information and instructions has become a key problem for planners.
The factors involved in the selection of sites are classified into two categories (exclusion factors and appreciation factors) to be able to identify the most appropriate areas for future industrial facilities in the province in question.

Urban resilience has become the subject of several scientific research in order to put the concept into operation as it is an important feature of a city’s sustainability. Against this background, the proximity of industrial activity to the urban environment of the city of Batna, located in the North East of Algeria, has contributed to the rise of the concept of industrial risk, the prevention of which, demonstrates the fundamental role of urban resilience in the sustainable management of risk and urban disaster situations. This article is part of a Modeling of Application Data with Spatio-temporal features (MADS) approach for a territorialisation of integrated urban resilience with a view to meet the coordination needs amongst various highly interdependent actors and promote the development of integrated solutions that contribute to the city’s resilience.

Understanding urbanization and better management of the city implies a historical
perspective of its dynamics. Urban extension which today is a major challenge, is materialized
by a rapid urbanization of territories in the margins of cities. Its study in a medium sized city
(city of Biskra) is an important issue where it requires monitoring and a detailed analysis of
accurate and geolocalized informations. Our research is part of an approach which is based on
the use of new geomatics techniques for better analyzing the dynamics of urban extensions. In
order to spatialize and evaluate this dynamic, we used a series of Landsat satellite images of
medium resolution with three different dates TM 1987, TM 2009 and 2014 for SCEA. The
comparison of results obtained confirm that the urban area has increased from one year to
another and that the city of Biskra has a medium level of urban sprawl.