Browsing by Author "Bougadir, Blaid"
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- Applicaton of Digital Shoreline Analysis System (DSAS) for analyzing sandy coast dynamics in Essaouira, MoroccoPublication . Khouz, Abdellah; Trindade, Jorge; Oliveira, Sérgio; El Bchari, F.; Bougadir, BlaidCoastlines change research plays a crucial role in understanding the evolution and ensuring effective risk management. This is essential for minimizing impacts on the environment and society. Our study aims to assess the coastal dynamics of sandy systems in Essaouira. By employing advanced techniques such as DSAS and GIS, we aim to analyze shoreline changes, erosion rates, and susceptibility to sand movement. The insights gained from our investigation into the sandy coastal system will provide valuable input for making informed decisions regarding territorial management.
- Assessment of landslide susceptibility in the rocky coast subsystem of Essaouira, MoroccoPublication . Oliveira, Sérgio; Khouz, Abdellah; Trindade, Jorge; Elbchari, Fatima; Bougadir, Blaid; Garcia, Ricardo; Jadoud, Mourad
- Assessment of subsidence and collapse hazards using electrical resistivity tomography: case study of Ida Ouazza salt mine, Essaouira province - MoroccoPublication . Khouz, Abdellah; Trindade, Jorge; El Bchari, Fatima; Bougadir, Blaid; Oliveira, Sérgio; Garcia, Ricardo; Ibouh, H.; Jaffal, H.; Ikirri, M.; Laftouhi, N.; Elachgar, H.; Jadoud, Mourad
- Coastal slope instability and susceptibility mappingPublication . Trindade, Jorge; Oliveira, Sérgio; Khouz, Abdellah; Garcia, Ricardo; Ebchari, Fatima; Bougadir, Blaid; Chaibi, Mohamed
- Combining the weights of evidence model, the Strahler/Shreve hydrographic model, and the HEC-RAS analysis for the assessment of flood susceptibility in Essaouira Province, MoroccoPublication . Khouz, Abdellah; Trindade, Jorge; Oliveira, Sérgio; Santos, Pedro; El Bchari, Fatima; Bougadir, Blaid; Garcia, Ricardo; Reis, Eusébio; Jadoud, Mourad; Silva, Andreia
- Flood susceptibility assessment through statistical models and HEC-RAS analysis for sustainable management in essaouira province, MoroccoPublication . Khouz, Abdellah; Trindade, Jorge; Santos, Pedro Pinto; Oliveira, Sérgio; Bchari, Fatima El; Bougadir, Blaid; Garcia, Ricardo; Reis, Eusébio; Jadoud, Mourad; Saouabe, Tarik; Rachidi, SaidFloods are natural disasters that often impact communities living in low-lying areas in the northern and central parts of Morocco. In this study, our aim was to create a flood susceptibility map using three methods; the hierarchy process (AHP) frequency ratio model (FR) and the weights of evidence (WoE) model. We extensively examined the area identified by these approaches using a hydraulic analysis software called HEC-RAS (version 6.3.1). Our analysis focused on the Essaouira watersheds in Morocco, where we identified around 197 flood locations. Out of these, we randomly selected 70% for modeling purposes while the remaining 30% were used for validation. Ten factors that influence floods were considered, such as slope, elevation, proximity to rivers, drainage density, stream order, land use patterns, rainfall data, lithology (permeability level) index (TWI), and curvature. We obtained these factors from data sources. Finally, we generated a flood susceptibility map and evaluated its accuracy by calculating the area under the curve (AUC). The validation results confirmed that all three models were robust and effective with an AUC of 90. Moreover, the research uncovered a trend of vulnerability with the most susceptible area being in close proximity to the city of Essaouira along the Oued Ksob. A detailed analysis using HEC-RAS was conducted at this identified location, pinpointing the village of Diabat as highly exposed. These findings hold significance for flood management, empowering decision makers, scholars, and urban planners to make informed choices and implement strategies that can minimize the impact of floods in susceptible regions while minimizing potential damages.
- Geomorphological coastal slope instability and suscepbility mapping in Safi, MoroccoPublication . Khouz, Abdellah; Trindade, Jorge; Oliveira, S. Cruz de; Garcia, Ricardo Alexandre Cardoso; Elbchari, Fatima; Chaibi, M.; Bougadir, BlaidRocky cliff coasts constitute approximately half of the world’s coastline and support human activities and diverse ecosystems but are prone to landslides, a key geomorphological process. This study assesses mass movement susceptibility along Safi's coast in Morocco by analyzing 297 mass movements using topographic, geological, and hydrological predisposing factors according to the information value model. The susceptibility model revealed that 40.62% of Safi's rocky coast is highly susceptible to slope instability.
- Integrating GALDIT and GIS for assessing sea water intrusion susceptibility in the Akermoud coastal water table, MoroccoPublication . Khouz, Abdellah; Trindade, Jorge; El Bchari, Fatima; Santos, Pedro Pinto; Reis, Eusébio; Moumane, Adil; El Ghazali, Fatima Ezzahra; Jadoud, Mourad; Bougadir, BlaidThe Akermoud coastal aquifer, situated in the northern region of Essaouira, Morocco, is an aquifer that has an important productive capacity, mainly used for irrigation. However, uncontrolled exploitation has increased the risk of sea water intrusion, leading to deteriorating water quality and threatening agricultural sustainability. In this research, in order to access susceptibility to sea water intrusion (SWI), six elements derived from diverse databases are used. Variables were combined in a GALDIT and GIS models, resulting in the analysis of 40 groundwater samples from wells. Results highlight the imminent threat of sea water encroachment into the coastal groundwater system. The resulting GALDIT index map indicates a notably high susceptibility index along a 3 km coastal band, between Tensift Oued and Bhaybeh Beach, enlarging southwards up to 5 km. Saline intrusion patterns are particularly observed between Zaouiet El Kourati and Ouled El Fequih villages, where the merging of saline and fresh waters amplifies salinization, affecting approximately 24% of the study area.
- Landslide susceptibility assessment in rocky coast subsystem of Essaouira coastal area - MoroccoPublication . Khouz, Abdellah; Trindade, Jorge; Oliveira, Sérgio; El Bchari, Fatima; Bougadir, Blaid; Garcia, Ricardo; Jadoud, MouradIn recent decades, multiple researchers have produced landslide susceptibility maps using different techniques and models, including the information value method, which is a statistical model that is widely applied to various coastal environments. This study aimed to evaluate the susceptibility to landslides in the Essaouira coastal area using bivariate statistical methods. In this study, 588 distinct landslides were identified, inventoried, and mapped. They primarily result from the observation and interpretation of different data sources, namely, high-resolution satellite images, aerial photographs, topographic maps, and extensive field surveys. The rocky coastal system of Essaouira is located in the middle of the Atlantic coast of Morocco. The study area was split into 1534 cliff terrain units 50 m in width. For training and validation purposes, the landslide inventory was divided into two independent groups: 70% for training and 30% for validation. Twenty-two layers of landslide-conditioning factors were prepared, namely elevation, slope angle, slope aspect, plan curvature, profile curvature, cliff height, topographic wetness index, topographic position index, slope over area ratio, solar radiation, presence of faulting, lithological units, toe lithology, presence and type of cliff toe protection, layer tilt, rainfall, streams, land-use patterns, normalized difference vegetation index, lithological material grain size, and presence of springs. The statistical relationship between the conditioning factors and different landslide types was calculated using the bivariate information value method in a pixel and in the elementary terrain units-based model. Coastal landside susceptibility maps were validated using landslide training group partitions. The receiver operating characteristic curve and area under the curve were used to assess the accuracy and prediction capacity of the different coastal landslide susceptibility models. Two methodologies, considering a pixel-based approach and using coastal terrain units, were adopted to evaluate coastal landslide susceptibility. The results allowed for the classification of 38% of the rocky coast subsystem with high susceptibility to landslides, which were mostly located in the southern part of the Essaouira coastal area. These susceptibility maps will be useful for future planned development activities as well as for environmental protection.
- Landslide susceptibility assessment in the coastal area of Essaouira – MoroccoPublication . Khouz, Abdelah; Trindade, Jorge; El Bchari, Fatima; Bougadir, Blaid; Çiner, Attila; Turan, Veysel; Knight, Jasper; Candeias, Carla; Chenchouni, Haroun; Khan, MD Firoz; Sarikaya, MehmedLandslide susceptibility mapping is an important tool for landslide risk management and urban planning. The main aim of this study is to assess coastal slope landslide susceptibility in Essaouira city (Morocco) using a deterministic approach. The primary data needed for analyzing the risk of landslides include a record of landslides factors that contribute to their occurrence factors that trigger them and elements in the area at risk. Among these the inventory of landslides holds significance. It provides information, about where landslides have happened in the past the types of landslides how they failed, the causes, behind their occurrence and the extent of damage they caused. Historical archives, field data and image interpretation are sources, for creating landslide inventories. However it is unfortunate that these sources are often incomplete making it challenging to conduct a risk assessment. A total of 588 landslides were recognized and mapped in the study area, the terrain units of the study area were divided according to morphometric and operational criteria. A total of 2975 terrain units with 50 m wide were classified in coastal system type, based on information from satellite imagery, aerial photographs, digital elevation model, geological maps, and data and field surveys. Afterward, the landslide susceptibility assessment model was carried out by classifying the terrain units into stable and unstable units. The classification process is based on the quantification of the percentage of the unstable area of each terrain unit. This initial method, for assessing the likelihood of landslides, which involves analyzing land forms using photos, satellite images and fieldwork along, with GIS analyses helped us identify 931 areas of land that are considered unstable. This accounts for 61% of the study area (known as the Rocky subsystem). Additionally, more information was added to a Geodatabase of various independent variables such as morphology (height, slope, curvature, and aspect), geology (structure, lithology, tectonics, soil, and bedrock geotechnical properties), hydrogeology, and climatology. A statistical model that uses information values is employed to analyze instances of landslides and identify the conditions in which they have occurred. This helps determine the combinations of factors that contribute to the likelihood of landslides. To guarantee meaningful validation process, the inventory dataset was subdivided into a test and a validation group. The model building process utilized a test group comprising 40% of the inventory while the validation group was employed to perform cross validation on the results of the model. Finally, the susceptibility map was validated to define the sensitivity analysis for independent variables and combinations of variables.