Like many coasts, coastal erosion is evident on all the Ivorian coast and is characterized by the destruction of physical assets (infrastructure, habitat and sightseeing). Especially in Grand-Lahou, it threatens a fishing village located on a strip of land 200 meters separating the Atlantic Ocean from the Tadjo lagoon and facing the mouth of the Bandama River. To contribute to the choice of sustainable coastal development in Grand-Lahou, this study aims to characterize the dynamics of the coastline by performing coastal erosion map locally for the best appreciation of the erosion phenomenon. To do this, the GIS which consisted of compilation of coastlines data from Landsat images from 1998, 2001, 2005, 2009, 2011 and 2014 in the study area. The dynamic of the coastline in this zone was done through the Digital Shoreline Analysis System (DSAW). The variations observed between 1998 and 2014 show a coastline fattening at an average rate of 2.09 m / year in the west of the river mouth before Lahou-Kpanda village and erosion with a speed of 0.84 m / year on rest of the shore after Lahou Kpanda village.
In Côte d'Ivoire morbidity causes are related to diseases such as malaria, diarrhea, and acute respiratory infections (ARI), which are constantly evolving. Koumasi and Port-Bouet are the most affected municipalities in the country. This study aims to find environmental determinants of spatial distribution of the ARIs and identify the most sensitive areas to take action for prevention and effective control and targeted in order to reduce the prevalence of ARI. To achieve this goal, we have identified environmental factors associated with the occurrence of ARI. Different environmental and cartographic data were integrated into a GIS. A multi-criteria analysis was performed to determine the environmental parameters that expose more people to the occurrence of the IRA and the weights of these parameters. The combination of exposure maps was used to map the sensitivity to IRA. Multi-criteria analysis revealed that refuse dumps have the highest influence in the occurrence of the disease, followed by industrial facilities and permanent wastewater. The ARI sensitivity map obtained shows that neighborhoods Nord-est 2 and Zone industrielle in Koumassi municipality are most susceptible to ARI. In the municipality of Port-Bouet sensitivity is European Scientific Journal February 2017 edition vol.13, No.5 ISSN: 1857 -7881 (Print) e -ISSN 1857 203 more pronounced at Vridi canal and Vridi 3. Special attention should therefore be granted these neighborhoods.Keywords: Geographic Information System, environmental factors, multicriteria analysis, Acute Respiratory Infections, Abidjan RésuméEn Côte d'Ivoire les causes de morbidité sont liées aux maladies telles que le paludisme, la diarrhée, et les infections respiratoires aiguës (IRA) qui sont en évolution constante. Koumassi et Port-Bouët sont les communes les plus touchées par les IRA dans le pays (Ministère de la santé et de la lutte contre le sida (2014). La présente étude se propose de trouver les déterminants environnementaux de la répartition spatiale des IRA et d'identifier les zones les plus sensibles pour mener des actions de prévention et de lutte efficaces et ciblées en vue de réduire la prévalence des IRA. Pour atteindre cet objectif, nous avons identifié les facteurs environnementaux associés à la survenance des IRA dans la zone d'étude. Les différentes données environnementales et cartographiques recueillies ont été intégrées dans un SIG. Une analyse multicritère a été réalisée en vue de déterminer les paramètres environnementaux exposant le plus les populations à la survenance des IRA et leurs poids. La combinaison des cartes d'exposition a permis de cartographier la sensibilité aux IRA. L'analyse multicritère a révélé que les dépôts d'ordures ont le niveau d'influence le plus élevé dans la survenance de la maladie, suivis des unités industrielles et des eaux usées permanentes. La carte de sensibilité aux IRA obtenue montre que les quartiers Nord-est 2 et Zone industrielle dans la commune de Koumassi sont les plus sensibles aux IRA. Dans la commune de Port-...
This study proposes an assessment of the historical coastline (TDC) mobility of the Ivorian coastline, specifically the Grand-Bassam coastline (Côte d'Ivoire), and suggests reflections on the sustainable management of the coastal environment in Côte d'Ivoire, taking into account coastal erosion. The objective is to evaluate, using the MobiTC software, the spatio-temporal and statistical evolution of the morphology of the Grand-Bassam coastal zone in order to plan appropriate coastal developments. Specifically, it is to extract images on google earth, to treat them under MobiTC and to analyze the rate of spatio-temporary and statistical evolution of coastlines. To do this, data from QuickBird images provided by Google Earth from 1984, 1988, 1992, 1996, 2000, 2004, 2008, 2012 and 2016 in the study area were used. Different software was used for image processing. The ENVI 5.1 software allowed georeferencing and thresholding to make the images superimposable and highlight the baseline. The digitization of the images was done with ArcGis software. The QGIS 2.18 software was used to convert the .shp files to the mid / mif format of the MobiTC software. The latter makes it possible to understand the statistical evolution of the coastline dynamics from the creation of a baseline, the skeleton of envelopes and traces. The variations observed between 1984 and 2016 show a fattening of 0.23 m / year in some sectors and an erosion rate of 0.34 m / year in other sectors. It is noted that 62.79% of the coastline is accretion and 37.21% is eroding.
Nowadays, the high frequency and the synoptic nature of the earth observation data are a compulsory tool for a global understanding of the functioning of the earth and more particularly of the ocean. Remote sensing data were utilized in this study to relate the biophysical features of the ocean to the catches of coastal pelagic fish in the Exclusive Economic Zone (EEZ) in Senegal from 2003 to 2017. The adopted procedure was, on the one hand; the multi-criteria analysis from the biophysical parameters which will give an idea on the availability on the coastal pelagic species in the exclusive economic zones in Senegal. The multi-criteria analysis by weighting made it possible to have a map of the availability of coastal pelagic species from 2003 to 2017 in the EEZ in Senegal. It enable to distinguish three zones of availability: the high availability of species which is observed during the cold season, the average availability taking place in both seasons, and the low availability occurring during the hot season but more concentrated in the south.
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