School of Environmental Technology (SET)

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School of Environmental Technology (SET)

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    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 Illah
    Soil 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
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    Land Cover Classification: Comparison between Fuzzy and Boolean Classifier
    (FIG Working Week 2016 Recovery from Disaster Christchurch, New Zealand, May 2–6, 2016, 2016-05-06) Abdullahi Ahmed KUTA, Oluibukun Gbenga AJAYI, Ekundayo Abayomi ADESINA, Zitta NANPON, Hassan .A. SAMAILA-IJA
    Production of Land Use/Land cover maps is very important for environmental monitoring and development. Image classification using either hard/or soft classifiers is crucial in the production of these maps. While fuzzy classification is suitable for modelling vagueness due to mixed pixels in the land cover, Boolean, on the other hand, is suitable for modelling land cover with well-defined boundaries. The analyst’s choice of image classifier is a very important decision in image classification, as this determines the classification output. Using Landsat5 TM of 1984, Landsat 4 TM of 1992 and Landsat7 ETM+ of 2000 satellite images, this research looks at the comparison between soft (Fuzzy) and hard (Boolean) classifiers. The Landsat ETM+2000 of a 15m spatial resolution was resampled to a 30m pixel size so that the three images would be of the same pixel size to effectively carry out pixel-to-pixel analysis. Due to the nature of the landscape and bearing in mind that land cover responds differently to various Landsat spectral bands, three band combinations (image bands 2, 3, and 4) were considered for the classification. The images were classified into four (4) different land spectral classes by employing the fuzzy membership function and maximum likelihood classification tools in Idrisi Taiga 16 software. The results obtained show that the spatial distribution of the modelled land cover classes for both Fuzzy and Boolean is the same, which buttresses the performance level of both models. The major difference between the two models lies in the output; while fuzzy shows a subtle representation according to the degree of membership function of each land cover class, the Boolean, on the other hand, represents the land cover types with a well-defined boundary. Also, the summation of the fuzzy land cover areas is not equal to the size of the study; 108% in 1984, 107% in both 1992 and 2000, are unlike the Boolean with 100%.
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    Dynamic Road Segmentation of Part of Bosso Local Government Area, Niger State
    (American Journal of Geographic Information System 2015, 2015) Oluibukun G. Ajayi, Joseph O. Odumosu, Hassan A. Samaila-Ija, Nanpon Zitta, Ekundayo A. Adesina, Olaniyi J. Olanrewaju
    Dynamic road segmentation (DRS) data model finds maximum application in GIS Transportation (GIS-T) studies and analysis, serving as a data model that splits linear features into a new set of segments wherever its attributes change. An attempt has been made by this research to carry out the Dynamic road segmentation of part of the Bosso Local Government Area of Minna using an IKONOS image of 1-m Pan-sharpened spatial resolution and other field survey acquired data. Geometric data was acquired using Handheld GPS receivers while the attribute data was acquired via the social survey approach(administration of questionnaires, direct observations, and on-site interviews). A Geo-database was designed and created within the ArcGIS 10.0 software environment. Analysis and queries were also performed to solve some pertinent issues concerning the route segments and to highlight the closest infrastructural facility in case of emergencies. The result highlighted the present road pavement condition of the considered road segments, adjacent land use, traffic congestion rate, notable crime spots, and accident hotspots. It also suggested that the building up of traffic congestion along the Kpakungun roundabout axis is due to the road width (8m), high traffic volume, and the dilapidating state of the road’s pavement.
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    Modelling Surface Runoff and Mapping Flood Vulnerability of Lagos State from Digital Elevation Model
    (FIG Congress 2014 Engaging the Challenges – Enhancing the Relevance Kuala Lumpur, Malaysia 16-21 June 2014, 2014-06) Olayemi Joseph ODUMOSU, Oluibukun Gbenga AJAYI and Ekundayo ADESINA
    Flooding in recent times has become a critically problematic phenomenon of spatio-temporal order and considerably high frequency of occurrence all over the world, and most especially in coastal nations/states. Lagos State, one of the nine (9) Coastal States of Nigeria, has witnessed and is still witnessing multivariate cases of flooding which attains its peak in the rainy seasons (April-October) of every year resulting in loss of life and economic valuables/properties. To curb this menace, an integrated solution (combination of empirical hydrological models with remote sensing and GIS capacity) is thus presented herein using a downloaded Digital Elevation Model of the study area to delineate watersheds, flow direction, contributing areas, and flow path/Channel. Also, surface runoff was simulated for an eight-hour homogeneous rainfall, and the resulting gauge readings from eleven (11) fictitious gauge stations distributed across the state were obtained. The study was able to produce a map categorising Lagos state into three (3) zones based on their vulnerability to flood. The Quantum GIS software was used for the analysis and simulation.
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    AN EVALUATION OF GEOMETRIC DATA ACQUISITION USING LANDSAT IMAGERY
    (CASLE – Abuja 2016 Conference Papers., 2016) Oluibukun .G. Ajayi, Yusuf .D. Opaluwa, Quadri .A. Adejare, Joseph. O. Odumosu, Nanpon Zitta and Ekundayo .A. Adesina
    The implementation of appropriate digital image processing method is crucial for deriving urban land cover maps of acceptable accuracy and cost. This study examines the effect of acquiring images in various spectral regions (bands), the impact of some image processing techniques on the combination of the different bands and the acceptable mode in which the features of the image could be classified using unsupervised classification (clustering) and supervised classification based on four different hard classifiers. Four different filter types were experimented on the colour composite images before classifying the images into different distinct land spectral classes. The Integrated Land and Water Information System (ILWIS) software was used to classify LandSAT 7 image of 2001, part 189r053, zone 32, bands 1 (Blue), 2 (Green), 3 (Red), 4 (Near infrared), 5 and 7 (Middle infrared) wavelength. From the study, it was observed that AVG 3x3 filter type is the most preferred. Colour composite of bands 5, 4, 3 in the RGB planes gave the best representation of the features of the image and that Box classifier, Minimum Distance to Mean Classifier and Maximum Likelihood classifier are excellent classifiers for image supervised classification
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    Developing a Mass Appraisal Approach for Residential Properties in Minna Metropolis
    (Environmental Technology and Science Journal, 2017-06) Liman, Hassan Shuaibu; Olatunji, Ayodele Isaac; Morenikeji, Gbenga; Olubajo, Oluseun Olukemi; Usman, Zakari Dodo
    Mass appraisal has become a standard approach of valuing large groups of properties especially for taxation purpose. It is widely used in developed countries including the US, UK and other European countries as well as in some developing countries such as Malaysia. In this paper, the application of mass appraisal model in Nigeria was examined. Hedonic based multiple regression analysis was used to analyse a set of 91 transaction data recorded between 2009 and 2013. The regression results revealed the contributory effect of the different housing attributes on the house price. Based on these results, a mass appraisal model for residential property valuation was developed. The performance of the model was evaluated using ratio study and the model was found to be adequate. It was discovered that a good mass appraisal model can bring about improvement in property tax administration in the study area by reducing cost and ensuring fairness and equity, which are very crucial in any property tax assessment process. The paper recommends that future studies should incorporate GIS, more explanatory variables as well as larger sample size to improve the accuracy of the model.
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    Dynamics in the Adoption of Offsite Construction in the Federal Capital Territory, Abuja
    (Proceedings of the Nigerian Building Road Research Institute International Conference., 2017-06) Olubajo, Oluseun Olukemi; Olawuyi, Babatunde James; Williams, Frank Ndanusa
    Construction work involves three major activities namely; material selection, fabrication of components and elements and lastly erection or assembling. The methods of fabrication are either onsite or offsite with the offsite construction established in literature as the most efficient means of erecting high-density housing units within short periods. The slow rate of its adoption and innovation in Nigeria’s construction industry is however a matter of concern. This prompted a study on the dynamics involved in adopting offsite construction processes in the Federal Capital Territory, Abuja with a view to stimulate improved adoption in housing projects. The specific objectives are to identify mechanisms for increasing innovations in construction, to evaluate the level of use of offsite construction processes across housing supply chains and to examine the significance level of forces that interplay in the adoption of offsite construction processes across the housing supply chain. A survey design approach was adopted to achieve this objective while data collected from structured questionnaires using a 5 point Likert scale was analysed with mean item score and ranking. 50 questionnaires were administered and 47 supply chain participants responded from 20 housing projects within the F.C.T. Abuja. The questionnaire comprised of characteristics of supply chain participants, levels in adopting offsite processes in selected building components and elements and relative importance of forces that interplay in adopting offsite construction. Results revealed that the raw material and labour availability with (MIS =4.00) were the most significant influences on housing supply chains. It was concluded that managing raw materials and labour supply more effectively will significantly influence the adoption of offsite construction in housing projects and has direct effects on the performance of the construction industry. The study suggests that stakeholders in construction view themselves as members of a supply chains and collaborate more effectively to ensure better project. outcome.
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    Exploring the Patterns of Deterioration: A Case Study of Buildings in a Residential Estate in Nigeria
    (Proceedings of the 3rd International Conference on Infrastructure and Sustainable Development (ICSID 2024)At: Covenant University, Canaanland, Ota, Ogun State, 2024-09) Olubajo, Oluseun Olukemi; Kudu, Mohammed; Abass, Abdulshakur
    Research into the deterioration of buildings tends to focus on probable causes. However,investigations that explore the nature, extent and pattern of the deterioration in residential buildings is limited. This study aims at exploring the patterns of deterioration in a residential estate with multiple buildings in Minna and the liveability of the community. The study adopts a mixed method approach with a case study and data is obtained through observations and a structured questionnaire administered by hand to residents on the condition of their buildings.The results revealed huge similarities in the nature and extent of deterioration for different building types in the estate with dampness of walls/roofs being the most severe form of deterioration (MIS =3.71) and heavy rainfall being the most likely cause of deterioration (MIS= 3.85). The study also found that majority of residents opted to live in the estate generally because they felt safe (MIS = 4.33). The study argues that the level of deterioration in the buildings might lead to lower living conditions in the estate.
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    Analysing the Influence of Offsite Construction Logistics on the Performance of Construction Projects
    (Journal of Construction Engineering, Management & Innovation, 2025-04-07) Olubajo, Oluseun Olukemi; Olubajo, Oladoyin Rachel
    Coordinating the logistics of workers, equipment and materials from varying locations can be challenging. This is a concern for project managers because disruptions in construction work leads to losses in production and business. Research into offsite logistics in construction tends to focus on factors that can optimise the performance of construction logistics. Another theme in the literature focuses on the application of digital technologies in construction logistics. However, investigations that examine the dynamics associated with offsite construction logistics and their implications on the performance of construction projects is limited. This study analyses the influence of offsite construction logistics on project performance. This study adopted a survey approach with a structured questionnaire that was administered to 200 construction practitioners and obtained data from 176 respondents on key aspects of offsite construction logistics indicating an 88% response rate with a reliability of 0.911. The results of this study revealed that integrating construction equipment and digital technologies in offsite operations has a positive and significant influence on the time performance of construction projects. The findings of this study are of value to construction professionals struggling to manage disruptions or delays and seeking to improve the way they manage offsite logistics involving multiple parties. The study contributes to the literature on construction logistics by extending our understanding on key aspects of offsite logistics that significantly impact on the performance of construction projects. This study argues that offsite construction logistics can be managed to overcome disruptions or delays by integrating the use of digital technologies in monitoring work flow and construction equipment in concrete works amongst others.
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    Reviewing Emerging Technologies Adoption Among Construction Project Managers in Nigeria
    (School of Environmental Technology, Federal University of Technology Minna. PMB 65, Minna, Niger State Nigeria., 2024-10-14) Shehu, Aminu Muhammad; Jimoh, Richard Ajayi; Adefemi, Aka; Olubajo, Oluseun Olukemi
    Though emerging technologies are available to improve project performance, project managers in the Nigerian construction sector avoid their adoption. This have resulted in the rate of failed projects within the Nigerian construction sector due to poor coordination of construction tasks relying on obsolete process. Hence, the review of literature to ascertain the influencing factors of project managers avoidance in implementing emerging technologies in their professional practice. Using thematic analysis, four (4) influencing themes were identified in the literature namely; technology, organizational, environmental and socio-cultural related factors. These themes evidenced the influencing factors in emerging technologies adoption among project managers in the Nigerian construction industry. The potentials of emerging technologies adoption on project managers performance in the construction industry is impacted in terms of cost, quality and time of successful projects delivery. However, technology avoidance behaviour of project managers will lead to project abandonment, continued inadequate automated evaluation, monitoring of construction project performance Therefore, the study recommends that stakeholders in the Nigerian construction industry must continue to navigate through the barrier factors limiting construction project managers adoption of technology to lower the rate of failed and abandoned projects in the Nigerian construction industry.