Journal of Geography, Environment and Earth Science International
Every society has certain groups of people who are more susceptible to risk due to lack of capaci... more Every society has certain groups of people who are more susceptible to risk due to lack of capacity to prevent it, which makes them vulnerable. Malaria is one of such infectious diseases that imposes a substantial burden on vulnerable populations. The objectives of this study is to map and analyze spatial pattern of sub-domains of social vulnerability to malaria risk in Katsina-Ala Local Government Area (LGA) of Benue State Nigeria, model and analyze areas of social vulnerability based on the sub-domains. Based on the review of related literature, a holistic risk and vulnerability framework was adopted to guide the assessment of social vulnerability to malaria risk in the study area. Stratified systematic non-aligned sampling technique was used to collect data on social vulnerability to malaria risk from three hundred and ten (310) households using structured questionnaire and GPS device. Empirical Bayesian Kriging model tool of Geostatistical analyst and Zonal statistical extension tools of ArcGis 10.2 were used for the model. Results revealed a heterogeneous spatial pattern of social vulnerability to malaria across the entire study area, Lack of capacity to anticipate Original Research Article
Solid waste disposal is a serious problem in the urban areas of Nigeria because of indiscriminate... more Solid waste disposal is a serious problem in the urban areas of Nigeria because of indiscriminate dumping. Particularly, Katsina-Ala Town has the problem of identifying suitable sites for solid waste disposal. The main objective of this study was to select potential areas suitable for solid waste disposal for Katsina-Ala Town. The main data used for this study were spot5 satellite image with a spatial resolution of 5m; digital elevation model (DEM) with 0.5 m spatial resolution, and ground control point (GCP) collected through ground point survey (GPS) and topographical map of the study area. The maps were prepared by overlay and suitability analysis using geographic information system (GIS) methods, remote sensing techniques and multi criteria analysis. Factors considered for MCE in this study includes; drainage, elevation, road network, important places and settlements. The final suitability map of the study area was prepared on Arc map and labelled as high, moderate, low. Results indicate in the total area suitable regions are 1.3% less suitable; 21.8% moderately suitable; and 0.37% most suitable. The most suitable areas for solid waste disposal fall on the north-eastern part of the town where there are least environmental and health risks. The GIS and remote sensing techniques are important tools for solid waste site selection. Hence, the capacity to use GIS and remote sensing technology for the effective identification of suitable solid waste dumping site will minimize environmental risk and human health problems.
Journal of Geography, Environment and Earth Science International
Every society has certain groups of people who are more susceptible to risk due to lack of capaci... more Every society has certain groups of people who are more susceptible to risk due to lack of capacity to prevent it, which makes them vulnerable. Malaria is one of such infectious diseases that imposes a substantial burden on vulnerable populations. The objectives of this study is to map and analyze spatial pattern of sub-domains of social vulnerability to malaria risk in Katsina-Ala Local Government Area (LGA) of Benue State Nigeria, model and analyze areas of social vulnerability based on the sub-domains. Based on the review of related literature, a holistic risk and vulnerability framework was adopted to guide the assessment of social vulnerability to malaria risk in the study area. Stratified systematic non-aligned sampling technique was used to collect data on social vulnerability to malaria risk from three hundred and ten (310) households using structured questionnaire and GPS device. Empirical Bayesian Kriging model tool of Geostatistical analyst and Zonal statistical extension tools of ArcGis 10.2 were used for the model. Results revealed a heterogeneous spatial pattern of social vulnerability to malaria across the entire study area, Lack of capacity to anticipate Original Research Article
Solid waste disposal is a serious problem in the urban areas of Nigeria because of indiscriminate... more Solid waste disposal is a serious problem in the urban areas of Nigeria because of indiscriminate dumping. Particularly, Katsina-Ala Town has the problem of identifying suitable sites for solid waste disposal. The main objective of this study was to select potential areas suitable for solid waste disposal for Katsina-Ala Town. The main data used for this study were spot5 satellite image with a spatial resolution of 5m; digital elevation model (DEM) with 0.5 m spatial resolution, and ground control point (GCP) collected through ground point survey (GPS) and topographical map of the study area. The maps were prepared by overlay and suitability analysis using geographic information system (GIS) methods, remote sensing techniques and multi criteria analysis. Factors considered for MCE in this study includes; drainage, elevation, road network, important places and settlements. The final suitability map of the study area was prepared on Arc map and labelled as high, moderate, low. Results indicate in the total area suitable regions are 1.3% less suitable; 21.8% moderately suitable; and 0.37% most suitable. The most suitable areas for solid waste disposal fall on the north-eastern part of the town where there are least environmental and health risks. The GIS and remote sensing techniques are important tools for solid waste site selection. Hence, the capacity to use GIS and remote sensing technology for the effective identification of suitable solid waste dumping site will minimize environmental risk and human health problems.
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