Abdulkadir T Sholagberu - Academia.edu (original) (raw)

Papers by Abdulkadir T Sholagberu

Transport Policy, Jun 1, 2022

Soil erosion hazard has been recognized as one of the biggest environmental challenges. It become... more Soil erosion hazard has been recognized as one of the biggest environmental challenges. It becomes more problematic in human-altered mountainous watershed like Cameron Highlands. Literature survey revealed the issues of subjectivity in selecting erosion causative factors (CFs) for susceptibility modeling due to lack of specific guideline. To date, some crucial dynamic CFs are not considered and support vector machine (SVM) techniques are scarcely explored in the previous susceptibility mapping.

Journal of Ecological Engineering, Apr 1, 2020

Case studies in chemical and environmental engineering, Dec 1, 2023

Advances in Civil Engineering

A number of factors have combined to put excessive pressure on the finite available freshwater re... more A number of factors have combined to put excessive pressure on the finite available freshwater resources. These include increasing population, rapid urbanization, industrialization, changed land pattern usage and land cover, change in the overall ecological system, and increased temperature and unscientific compromises in the extraction of water are at alarming threshold putting pressure on the finite available freshwater resources. As a result, many countries have been stressed or are at the verge of being stressed. The problem is worsened day by day by prolonged drought, unchecked discharge of untreated or partially treated wastewater to the freshwater reservoirs and lack of proper water quality control measures and management. Many initiatives such as Zero Liquid Discharge of industrial wastewater into freshwater bodies such as reservoirs, lakes, and ponds, and the use of recycled wastewater for irrigation and domestic purposes have started to be embraced as measures to put a che...

MATEC Web of Conferences

Land degradation caused by soil erosion remains an important global issue due to its adverse cons... more Land degradation caused by soil erosion remains an important global issue due to its adverse consequences on food security and environment. Geospatial prediction of erosion through susceptibility analysis is very crucial to sustainable watershed management. Previous susceptibility studies devoid of some crucial conditioning factors (CFs) termed dynamic CFs whose impacts on the accuracy have not been investigated. Thus, this study evaluates erosion susceptibility under the influence of both non-redundant static and dynamic CFs using support vector machine (SVM), remote sensing and GIS. The CFs considered include drainage density, lineament density, length-slope and soil erodibility as non-redundant static factors, and land surface temperature, soil moisture index, vegetation index and rainfall erosivity as the dynamic factors. The study implements four kernel tricks of SVM with sequential minimal optimization algorithm as a classifier for soil erosion susceptibility modeling. Using a...

This research evaluates rice husk ash (RHA) as a cementitous constituent in concrete productions.... more This research evaluates rice husk ash (RHA) as a cementitous constituent in concrete productions. Raw rice husk obtained from rice mill situated in Ilorin metropolis, Kwara State, Nigeria was burnt in a furnace at a controlled temperature of 700<sup>o</sup>C for a period of four hours. The ash was analysed for its physical and chemical properties. The mechanical performance of the ash in the concrete was investigated when used as a partial replacement for cement in concrete at 10%, 20% and 30% respectively with a control test that contains 0% RHA. Experimental findings showed that the RHA can be categorized as N-class pozzolana according to ASTM C618-12. The workability of the concrete falls as the RHA content increases. It was also observed that the compressive strength of Rice Husk Ash Concrete (RHAC) increases with curing age but decreases as the percentage of cement replacement with ash increases. The density of the concrete produced also reduces even with age as the...

Journal of Research in Forestry, Wildlife and Environment, 2017

This paper presents the evaluation of performance of Neural Network (NN) model in predicting the ... more This paper presents the evaluation of performance of Neural Network (NN) model in predicting the behavioral pattern of rainfall depths of some locations in the North Central zones of Nigeria. The input to the model is the consecutive rainfall depths data obtained from the Nigerian Meteorological (NiMET) Agency. The neural networks were trained using neural network toolbox in MATLAB with fifty years (1964–2014) total monthly historical data of five locations while two other locations, Abuja and Lafia with twenty-nine years (1986-2014) and eleven years (2004-2014) total monthly data respectively. Analysis showed the variation in the values of correlation coefficients (R) for each location of the study area in response to change in number of hidden neurons. The average R values of 0.80, 0.62, 0.65, 0.67, 0.79, 0.76 and 0.81 with corresponding mean square errors of 2.12, 0.23, 0.26, 0.36, 2.61, 1.18 and 1.03 were obtained for Abuja, Makurdi, Ilorin, Lokoja, Lafia, Minna and Jos respecti...

Environmental Research, 2021

This is a PDF file of an article that has undergone enhancements after acceptance, such as the ad... more This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

African Journal of Science, Technology, Innovation and Development, 2020

The technical inefficiencies of crop production system in terms of large-scale irrigation schemes... more The technical inefficiencies of crop production system in terms of large-scale irrigation schemes are major problems attributed to the underperformance of crop farms. Therefore, the aim of this study was to estimate and compare farmlevel technical efficiencies of four major crop productions system including, pepper, okra, garden egg, and tomato under the large-scale Kampe-Omi irrigation scheme, Nigeria. The data development analysis (DEA) approach was used to study the hypothesized determinants affecting the efficiencies of crop farms using an ordinary least squares regression model. The results showed that the selected pepper, okra, garden egg, and tomato crop farms were fully efficient at 20, 10, 16.92, and 40% under constant return to scale (CRS), and at 13.33, 30, 10.77, and 25.71% under variable return to scale (VRS), respectively. DEA revealed a considerable variation in technical inefficiency among the selected crop farms under the irrigation scheme. The significant determinants of technical efficiencies of the four crop farms include farmers' age, family size, experience, alternative income, education, credit accessibility, and contact with extension agents. The outcomes of this study are useful for improving production efficiencies while serving as a convenient guide for both farmers and irrigation scheme managers of selected crops.

Geocarto International, 2020

Global Land Cover (GLC) maps have been extensively used as background data for numerous applicati... more Global Land Cover (GLC) maps have been extensively used as background data for numerous applications such as land-use planning, climate change monitoring, and urban planning. While countries in Europe and North America have greatly developed land cover maps, several developing countries in Asia and Africa lack such vital data sources. GlobeLand30's 30m resolution dataset has the potential to meet the mapping needs of these developing regions. However, differences in accuracy of the dataset between countries can be significant making it unsuitable to adopt regional accuracy directly for assessing individual country's accuracy level. Therefore, it is critical to develop reliable localized assessments. This research assesses the accuracy of GlobeLand30 for Malaysia using multiple evaluation approaches. Seven classes of land cover data were evaluated using 197 samples in the country. An overall accuracy of 63.45% and 65.70% were obtained from the Error Matrix using sample counts and the new unbiased area estimator respectively. We conclude that the overall accuracy of GlobeLand30 in tropical developing countries like Malaysia is generally lower than the accuracy in developed countries and arid developing countries thereby requiring significant improvement for optimal use. However, despite the errors due largely to misclassification, the GlobeLand 30 data has the potential to complement other LULC data to estimate and monitor vital land-use changes in Malaysia and the ASEAN region in general for sustainable development.

International Journal of Integrated Engineering, 2019

Discharge in a large amount of nitrate and phosphorus lead to eutrophication or algae bloom in th... more Discharge in a large amount of nitrate and phosphorus lead to eutrophication or algae bloom in the river. To prevent this phenomenon, effluent discharge of COD, ammonia and nitrate should meet the standard limit set by DOE Malaysia. Nitrate and ammonia content are measured to determine the optimum removal percentage while phosphorus is measured to ensure the effluent standard meet the C:N:P ratio of 100:5:1 requirement [1]. Biological treatment processes for municipal wastewater used is suspended growth. Suspended growth processes are mainly take place in the aeration chamber where oxidation, synthesis reaction, and endogenous respiration occurs [2]. On the other hand, the organic matter will be the carbon source for the denitrifying bacteria that responsible for denitrification [3]. A

Cogent Engineering, 2019

as soon as possible after acceptance. Copyediting, typesetting, and review of the resulting proof... more as soon as possible after acceptance. Copyediting, typesetting, and review of the resulting proof will be undertaken on this manuscript before final publication of the Version of Record (VoR). Please note that during production and pre-press, errors may be discovered which could affect the content.

Journal of Ecological Engineering, 2016

Rainfall-runoff is the active agent of soil erosion which often resulted in land degradation and ... more Rainfall-runoff is the active agent of soil erosion which often resulted in land degradation and water quality deterioration. Its aggressiveness to induce erosion is usually termed as rainfall erosivity index or factor (R). R-factor is one of the factors to be parameterized in the evaluation of soil loss using the Universal Soil Loss Equation and its reversed versions (USLE/RUSLE). The computation of accurate R-factor for a particular watershed requires high temporal resolution rainfall (pluviograph) data with less than 30-minutes intensities for at least 20 yrs, which is available only in a few regions of the world. As a result, various simplified models have been proposed by researchers to evaluate R-factor using readily available daily, monthly or annual precipitation data. This study is thus aimed at estimating R-factor and to establish an approximate relationship between R-factor and rainfall for subsequent usage in the estimation of soil loss in Cameron highlands watershed. The results of the analysis showed that the least and peak (critical) R-factors occurred in the months of January and April with 660.82 and 2399.18 MJ mm ha-1 h-1 year-1 respectively. Also, it was observed that erosivity power starts to increase from the month of January through April before started falling in the month of July. The monthly and annual peaks (critical periods) may be attributed to increased rainfall amount due to climate change which in turn resulted to increased aggressiveness of rains to cause erosion in the study area. The correlation coefficient of 0.985 showed that there was a strong relationship rainfall and R-factor.

unilorin.edu.ng

... Ayanshola, AM, Salami, AW, Olofintoye,OO and Abdulkadir, TS Department of Civil Engineering, ... more ... Ayanshola, AM, Salami, AW, Olofintoye,OO and Abdulkadir, TS Department of Civil Engineering, ... estimated as 84.67 mm, while Ia was 16.94 mm. This implies that any value of rainfall less than ... http://www.ieems.net/iejemta.htm 3. Chow, VT, Maidment, DR, and Mays, LW (1988). ...

Polish Journal of Environmental Studies, May 28, 2019

Soil erosion is a devastating land degradation process that needs to be spatially analyzed for id... more Soil erosion is a devastating land degradation process that needs to be spatially analyzed for identification of critical zones for sustainable management. Geospatial prediction through susceptibility analysis assesses the occurrence of soil erosion under a set of causative factors (CFs). Previous studies have considered majorly static CFs for susceptibility analysis, but neglect dynamic CFs. Thus, this study presents an evaluation of erosion susceptibility under the influence of both non-redundant static and dynamic CFs using multivariate logistic regression (MLR), remote sensing and geographic information system. The CFs considered include drainage density, lineament density, length-slope and soil erodibility as static CFs, and land surface temperature, soil moisture index, vegetation index and rainfall erosivity representing the dynamic CFs. These were parameterized to establish geospatial relationships with the occurrence of erosion. The results showed that length-slope had the highest positive impact on the occurrence of erosion, followed by lineament density. During the MLR classification process, predicted accuracies for the eroded and non-eroded locations were 89.1% and 83.6% respectively, with an overall prediction accuracy of 86.6%. The model's performance was satisfactory, with 81.9% accuracy when validated using the area-under-curve method. The output map of this study will assist decision makers in sustainable watershed management to alleviate soil erosion.

Lecture notes in civil engineering, 2021

In this experimental work, laboratory channel was constructed to evaluate the hydrodynamics of fl... more In this experimental work, laboratory channel was constructed to evaluate the hydrodynamics of flow through cow grass. Acoustic Doppler Velocimeter (ADV) was used in determining the magnitude of velocity across various segments of the channel due to flow vegetation– interaction. The effect of vegetative roughness on flow velocity, Manning’s resistance, and velocity profiles were investigated. Results revealed the changes in the normal parabolic velocity profile to nearly flat in the streamwise direction. İt was also observed that the Manning’s coefficient generally decreases with rise in velocity of flow, and it increases with increase in the fractional flow depths, as the grass was completely submerged. Thus, the relationships and n–V curve obtained could be use in proper design of grassed channels.

Ethiopian Journal of Environmental Studies and Management, Aug 8, 2016

The study involves evaluation of basin area, slopes, shape of the basin as morphological paramete... more The study involves evaluation of basin area, slopes, shape of the basin as morphological parameters and analysis of flow frequencies for flood and low flows, developing unit hydrograph and analysis of rainfall intensity distribution in the study area as hydrological parameters. The morphological analysis of the basin yielded basin area, slope, elongation and circulatory ratio of 830km 2 , 0.57%, 0.46 and 0.35 respectively. For hydrological analysis, flow frequency, unit hydrograph and rainfall analysis were evaluated. The flood (peak) and low flows were fitted with Gumbel Extreme Value Type I & III model, and the recurrence intervals for low and peak flows of 0.0004m 3 /s and 3.5772m 3 /s were obtained as 4 and 44 years respectively. The mean annual maximum flow and mean annual runoff depth were estimated to be 7.97m 3 /s and 6.5mm respectively. This showed that the intensity of rainfall contributing to the volume of river discharge was 6.5mm/day. Unit hydrograph was developed for the river basin using SCS approach. More so, rainfall analysis was carried out to determine the flood and drought periods. The results indicated that Oyun river basin is relatively small watershed with elongated narrow shape and nonsteep slope which contributed to relatively slower draining of water into the river. From the analysis, flooding is expected in the month of September while drought may be expected in the months of December to February. The results of this study will be useful to river basin managers in managing and planning of water resources and facilities development.

Journal of Ecological Engineering, Feb 1, 2019

Over the years, Cameron Highlands have witnessed extensive land-use and land-cover (LULC) changes... more Over the years, Cameron Highlands have witnessed extensive land-use and land-cover (LULC) changes due to the massive agricultural and urbanization activities. This significantly contributed to the erosion problems in the area. Rainfall erosivity that measures the aggressiveness of raindrop in triggering soil erosion is one of its major components that could be influenced by the LULC changes in watersheds. However, the research relating to the-LULC changes with the erosivity especially in the complex landscape is scarce. Hence, this study applies geographic information system (GIS) and remote sensing techniques to assess the LULC changes and their influence on the rainfall erosivity distribution in mountainous watershed of Cameron Highlands. Four Landsat images and the rainfall data from the period of thirty years were analysed for the development of LULC and erosivity maps respectively in ArcGIS environment. The study showed that the study area experienced immense land-use changes especially in agriculture and urbanization which affected the erosivity distribution. The LULC change for agriculture increased linearly in the last 30 years from 7.9% in 1986 to almost 16.4% in 2016. The results showed that urban development increased from 5.1% in 1986 to 11.4% in 2016. The increasing urbanization trend was targeted to meet up with tourism requirement in Cameron Highlands. However, forest class declined tremendously due to the exploration of land for agriculture practice and other various types of development. Watershed managers and other stakeholders should find this study beneficial in tackling erosion and its associated ecological challenges.

Cogent engineering, 2018

In Malaysia, containerized freight transport has been growing and is expected to continue in that... more In Malaysia, containerized freight transport has been growing and is expected to continue in that trend in the future. This research aims to provide a model for the assessment of containerized freight movement through intermodal transport network of Peninsular Malaysia. To design such a model, ArcMap software was used to build the transport network and MATLAB software was used to design the user-interface and to develop shortest path algorithm for analyzing the transport network. The focus of the analysis was to identify the optimum route and mode(s) of transport from origin to destination for different objective functions such as distance, time, emission and cost. Besides, the study explored tradeoffs associated with least-distance, least-time, least-emission and least-cost routes. To demonstrate the applicability of the proposed model, two case studies were analyzed. The presented methodology and procedures are applicable not only on any origin-destination pair in the transport network of Malaysia, but also on any other intermodal transport networks.