Surveying & Geoinformatics
Permanent URI for this collectionhttp://197.211.34.35:4000/handle/123456789/70
Surveying & Geoinformatics
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Item Prediction of Annual Flood-Prone Aras using SWAT and HEC-RAS Models(School of Environmental Technology, Federal University of Technology, Minna, Niger State., 2024-10-24) Ekundayo, A. Adesina, Oluibukun G. Ajayi, Joseph O. Odumosu, Suleiman A. Z.The study focuses on predicting flood-prone areas in Niger State’s Kainji Lake watershed in 2025 using the SWAT and HEC-RAS models. The SWAT models. The SWAT model replicates key hydrological processes, integrating satellite-derived data, including precipitation, temperature, land cover, DEM, and soil maps. HEC-RAS simulates river flow and flood inundation, utilizing a 12.5 m ALOS PALSAR DEM for detailed analysis. Both models are calibrated and validated with two years of discharge data from the Nigeria Hydrological Service Agency. Results highlight the vulnerability of several settlements along the Kainji Lake floodplain, such as Kontagora, New Bussa, and Ngaski, under different climate change scenarios. Despite certain limitations, the combined use of SWAT and HEC-RAS effectively identifies areas at risk in flood prediction and management efforts.Item Geospatial Analysis for Optimal Hotel Site Selection in Minna Metropolis(School of Environmental Technology, Federal University of Technology, Minna, Niger State., 2024-10-24) Ekundayo, A. Adesina., S. Chukwu., Oluwatobi, O. AdetunjiThe hotel industry significantly contributes to national economies, particularly in tourism centres. It is a source of employment, generating numerous jobs. However, many African countries, such as Nigeria, face a shortage of hotels due to their spatial distribution. Proper scientific planning, therefore, requires careful consideration of influencing factors before constructing new hotels. This study employed Multi-Criteria Decision Analysis (MCDA) and Geospatial Technologies (GIS and Remote Sensing) to assess hotel site suitability in Minna Metropolis. Based on expert advice and existing literature, the study identified five key factors influencing hotel site suitability: Land Use Land Cover (LULC), Slope, Elevation, the spatial distribution of existing hotels, and Road Network Analysis. These factors were weighted using the Analytical Hierarchical Process algorithm and combined using the weighted overlay tool in ArcGIS 10.8 software to create suitability map with four classes: Highly suitable, moderately suitable, less suitable, and Not suitable. The study revealed that over 50% of the city (more than 76 square kilometers) is at least moderately ideal for hotel development. LULC, the density of existing hotels, and road networks were the most influencing factors in hotel site suitability. This research is valuable for researchers and professionals in the hotel industry.Item Mapping of Tomatoes Pest Susceptibility in Zaria, Kaduna, Nigeria(School of Environmental Technology, Federal University of Technology, Minna, 2024-10-24) Abdulmalik M. Olaniyi, Ekundayo A. Adesina, Gbenga Adeniyi, Albert I. NwoseThis study aimed at analyzing the spatial distribution of tomato farm pest susceptibility in Zaria using Geospatial techniques. The actual GPS positions of 153 tomato farms were observed and represented on a Landsat 8 image of Zaria. Their locations were then verified with a SPOT 5 imagery. Supervised classification was used to classify the image into land use/Land cover (LULC) by using Maximum likelihood classifier and subsequently used as a land utilization factor in the study. Other factors influencing tomato crop health and pest susceptibility such as the Normalized Difference Vegetation Index (NDVI), temperature, bioclimatic and solar radiation, soil moisture, proximity to drainage, water vapour, wind speed elevation, slope and aspect of the study area were considered as parameters. These parameters were ranked and assigned weight by pairwise comparison for producing a weighted overlay in the Multi Criteria Elevation (MCE) for susceptibility class of tomato crops to pest. The results were classified into four classes using the fuzzy set classification model. Result of the analysis shows that the majority of tomato farms have low susceptible to pest while few tomato farms have high susceptibility to pest. Finding depicts that out of 153 tomato farms studied susceptibility to pest while 20.26% with 31 tomato farms have high susceptibility to pest. The result of this study implies that the geographic space with favourable conditions for pest breeding suggest a very high tendency of pest development and spread to other farm locations with low or moderate susceptibility tendency overtime when adequate measures are not taken into consideration. It is therefore recommended that regular update of tomato farms location should be carried out and an effective information system should be established for monitoring infestation so as to effectively make informed decisions during pest outbreak.Item Flood Inundation Mapping of Gbaganu Area Minna, Niger State(School of Environmental Technology, Federal University of Technology, Minna, Niger State, 2021-05-05) Adesina, E.A., Saka, T.T., Adewuyi A.I., Ayoade, S.A., and Ayndeji, M.A.Flooding in recent times has become a critically problematic phenomenon of spatio-temporal order and considerably high frequency of occurrence worldwide. Gbeganu area of Minna covering an area of 16.389 hectares within Niger State. Nigeria has witnessed and is still witnessing multivariate cases of flooding, which peak in the rainy season (April-October) of every year, resulting in loss of life and economic valuables/properties. To curb this menace, an integrated solution of drainage morphometric parameters with remote sensing and geographical information system capacity is thus herein presented using the downloaded Shuttle Radar Topography Mission (SRTM) of 1-arc second (30 m resolution) which covers nearly the entire Niger State and the DEM of the study area was extracted and digital elevation model (DEM) generated from topographical point data (position and elevation of points within the area) taken with Differential Global Positioning System receivers and the satellite image of the study area to delineate watershed, contributing area, flow direction and flow path/channel. The Height Above the Nearest Drainage (HAND) tool was used on the ArcGIS software for analyses. The study produced a map depicting regions within the study area: regions that are highly susceptible to flooding. The morphometric analysis of flood inundation hazard in the area watershed shows that the risk to buildings will be more serious shortly, meanwhile, the implementation of flood countermeasures and the identification of priority areas for flood risk reduction using the flood inundation map will also help to reduce the flood impacts within the study area.Item GIS-based soil loss estimation using revised universal soil loss equation(7th Intercontinental Geoinformation Days (IGD)-Peshawar, Pakistan, 2023-11-19) Ekundayo Adesina, Oluibukun Ajayi, Joseph Odumosu, Abel IllahSoil loss estimation plays a vital role in the management and conservation of land and water resources, offering vital insights for watershed-level development in various regions. This study focuses on the development of a soil loss model for the Bosso Local Government Area in Minna, Nigeria, utilizing the Revised Universal Soil Loss Equation (RUSLE). Integration of Landsat images, Digital Elevation Models (DEM), rainfall and precipitation records, and soil erodibility factors were employed to estimate the average annual soil erosion within the study area. The individual parameters of the RUSLE model were integrated into the ArcGIS environment using the raster calculator in the Arc toolbox. The results reveal that an alarming 6672.83 tonnes per hectare per year of soil are lost annually in the study area. This rate of soil erosion raises concerns about the sustainability of agricultural practices in the study area. The findings underscore a critical absence of conservation practices or plans to combat and mitigate soil erosion in the region. In light of these findings, it is imperative that local government authorities, in collaboration with various ministries, take immediate action to promote and enforce conservation measures aimed at combating soil erosion within the area