M. DEHIMI Salim

Landslides are ranked among the most significant global calamities. This study delves into the challenges linked to ground movements in the Beni Ilmane region, situated in the Msila district of central-eastern Algeria. By utilizing the qualitative multi-criteria analysis method known as the "Analytic Hierarchy Process" (AHP) alongside a Geographic Information System (GIS), the factors influencing susceptibility to land movement, primarily derived from remotely sensed satellite images, were prioritized using pairwise comparison. The validity and accuracy of the resulting zoning map were rigorously examined and tested by collecting data on identified land movements. The area under the sensitivity/specificity curve (AUC), also referred to as the receiver operating characteristic (ROC), was employed to quantify and assess the model used in this study. The mapping results clearly highlight areas vulnerable to the risks associated with ground movements. Furthermore, the outcomes of this study could serve as a valuable decision-making tool for the effective management of local development plans.

Floods are among the most hazardous natural disasters, which pose significant threats to human lifeat both global and national scales due to severe human, material, and environmental losses. The increasing frequency of floods, compared to other natural hazards, highlights the urgent need of their evaluation and the mitigation of their impacts. This study aimed to assess and map flood-prone areas in the city of Sidi Aissa, Algeria, using the analytical hierarchy process (AHP) and geographic information systems (GIS). The city was chosen because of the three rivers running through it. A model combining a multi-criteria statistical approach and GIS was employed. The study focused on analyzing the factors influencing flood occurrence, including land use, elevation, slope, drainage density, distance from river and roads, topographic wetness index (T.W.I), and normalized difference vegetation index (N.D.V.I), To calculate the weights of these factors in the GIS environment, the AHP method was applied, resulting in maps specific to each criterion. The results revealed that land use (21.7%) and distance from river (18.2%) are the most critical factors influencing flood susceptibility and damage to nearby buildings. The study shaped a flood susceptibility map divided into three categories: areas with very low flood susceptibility, accounting for 29% of the total area; areas with moderate flood susceptibility, accounting for 40% and areas highly susceptible to flooding, making up 31%. Furthermore, the study demonstrated the effectiveness of using AHP and GIS in simulating potential floods and identifying flood-p​r​o

The illegal and disorderly practices committed by the IUC (inhabitants/users/citizens) have introduced chaos into urban spaces at different levels. The aim of this study is to examine how the practices do not comply with urban legislation impact urban spaces. It applies a socio-spatial analysis using three methodologies: the first is a social survey through questionnaires, the second is a field survey of the area studied, and the third is a spatial configuration modeling using space syntax analyses. The results show the dysfunctionalities caused by the unplanned interventions of IUCs within the study area, specifically land use plan N°06 in the city of Batna. Disobeying urban planning principles leads to compromised accessibility and visibility according to spatial syntax measures. Additionally, the results of the questionnaire and the survey highlight the inadequacy of legislation without effective enforcement mechanisms. Furthermore, the study contrasts the findings of field survey with spatial configuration analyses, indicating the disadvantages of the created urban space.

Les inondations en Algérie se définissent aujourd’hui comme étant un phénomène naturel fréquent induisant des dégâts matériels et humains souvent catastrophiques, causés essentiellement par le débordement des lits majeurs des oueds.
Les événements pluvieux de Bab El oued en 2001, de Skikda en 2004 et récemment celles de M'sila en 2007 et de Ghardaïa en 2008, ont causé des crues dévastatrices sont des preuves alarmantes.
Plusieurs inondations catastrophiques ont été recensées dans notre zone d’étude (SIDI AISSA), notamment en 1982, 1992, 2001, 2011 et 2016.
Cette étude vise à fournir une expertise pour la préparation d'une cartographie des inondations et l'estimation des risques d'inondation dans les zones urbaines en croissance. Pour modéliser et prédire l'ampleur des zones à risque d'inondation, un processus intégré de hiérarchie analytique (AHP) et des techniques d'analyse du système d'information géographique (SIG) sont utilisés pour le cas la ville de Sidi Aissa.

Various disciplines, engineering, humanities, and other sciences require interpolating many parameters. Geostatistics, with its structural analysis step, is widely used for this purpose. Variography is the valuable step used to assess the correlation and dependence of the data. However, the wrong choice of the variogram model encounter all the predictive attended results. This article illustrates how the use of inappropriate variogram models can seriously conduct to a misleading of predicted results for such analysis. The influence of the selection of the semi-variogram model is highlighted and illustrated by thematic maps developed using three different models (Gaussian, spherical and exponential). To avoid such a drawback, a methodical approach to select the most suitable model, based on the calculation and analysis of the mean error (ME), the mean square error (MSE), the root of the square error mean (REQM), mean standard error (ESM) and root of mean standard error (REQSM), is proposed in the present research study. Such contribution could reduce the negative effects of the choice of variogram model on the interpolation operation using the kriging technique.

In Algeria, solid waste management (SWM) is considered a major problem; most of this waste is dumped in landfills without any control. The Algerian authorities have developed a national strategy for the integrated management of urban solid waste by 2035 by working on the implementation, development and equipping of technical landfill centers (TLC). Therefore, the aim of this study was to help local authorities in choosing the optimal locations for the completion of the proposed TLC between municipalities. This research used a combination of the multi-criteria decision aid (MCDA) and geographic information systems (GIS). It combines two aggregation methods: Linear Combination of Weights (WCL) and Criteria Weighting. The analytical hierarchy process (AHP) pair-wise comparison method was applied for assigning weights to the 11 criteria that were divided into environmental, social, and economic criteria according to previous studies in the field and the characteristics of the HODNA area. The results showed that 22.56% is the most suitable location for a landfill site, especially on the southeastern side, while 20.70% was suitable and 18.40% was moderately suitable. Finally, the process of assessing the spatial suitability of public emptying sites based on the results obtained in the final digital map,4.76% of the landfill sites are located in inappropriate areas, 14.29% are located in less suitable areas, 33.33% are located in suitable areas, 33.33% are located in moderately suitable areas and 14.29% are located in very suitable areas.

The research aims to analyze and evaluate the quality of urban life using modern technologies by engaging residents and experts to choose criteria for analyzing and evaluating the quality of life (QoL)using multi-criteria analysis and a geographic information system to conduct spatial modeling to extract a Qol analysis and evaluation map and determine its geographical ranges. The study showed that (4.44%) represent a high QOL and (47.23%) represent an acceptable QOL and (48.33%) represent a low QOL. The study proved that there are geographical differences between the city center and the suburbs that can be spatially determined.

Studies and research on the quality of urban life are witnessing a renewed interest not only of the
research community, but also through policies and attention in urban management and planning for the search
of how to make cities more competitive and maintain the development and promotion of the population wellbeing. In this manuscript, we discuss how to assess the quality of urban life by integrating the Delphi method
with one of the multi-criteria analysis techniques in decision-making, the process of hierarchical analysis is
sequential (AHP). The city of M’Sila, Algeria, was selected as a case-study, where we proposed a set of criteria
for assessing the quality of life in the city, engaging its actors using the Delphi method and selecting six factors
(public services, education, environment, culture, recreation, health, security, and protection). The first stage, in
the second phase, I use a sequential method of the AHP pyramid analysis, the third stage came to translate the
results obtained in a GIS environment, to derive the quality of the life map. One of the most important results
follows: (7%) of the study-area achieves: high-quality of life with space (3.77 km²), (9%) average quality of
life with an area (4.70 km²) and (14%) moderate quality of life with an area (6.98 km²) and (19%) low quality
of life with space (9.75 km²) and (51%). It achieved the least quality of life with an area (26.02 km²). Map
results can be used to identify areas that need to be upgraded or to choose the best areas for accommodation.