
Akinola Adesuji Komolafe- Doctor of Philosophy
- Senior Lecturer at Federal University of Technology
Akinola Adesuji Komolafe
- Doctor of Philosophy
- Senior Lecturer at Federal University of Technology
About
47
Publications
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1,162
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Introduction
Current institution
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October 2011 - present
Publications
Publications (47)
Rainfall variability and extreme events significantly impact agriculture, water resource management, and urban planning in South-Western Nigeria, a region characterized by distinct wet and dry seasons. The study aims to analyse rainfall patterns, quantify extreme rainfall events, and estimate return periods using statistical models to address the c...
To evaluate the effectiveness of various adaptation strategies, it is critical to develop a flood damage function that considers building characteristics for future risk evaluation. This study analysed the contributions of some important flood and household characteristics in flood damage processes and developed a new, more accurate, multi-variable...
Flooding is a recognized form of natural disaster that can lead to loss of life, destruction of critical infrastructure with consequences impacting critical sectors including agriculture and health. This study aims to map out flood susceptible areas within the Ala River basin of Ondo State, Nigeria by integrating the Analytical Hierarchy Process (A...
Groundwater is the primary water source for domestic and industrial use in Jos North local government area. Being an area classified to be a semi-arid environment, groundwater is a vital source of livelihood, and this necessitates research on the integration of advanced techniques for groundwater exploration. This study aims to delineate, identify,...
This study employs a GIS-based multi-criteria decision approach (MCDA) and flood frequency analysis to assess the Osun River basin's flood potential zones and magnitudes. The HEC-HMS hydrological model was used to simulate previous potential flood discharges from 1981 to 2020 within the river basin. Using the Gumbel frequency distribution method, w...
Deforestation in the tropics continues inexorably with severe implications for biodiversity conservation, climate regulation and ecosystem services. This study investigated variation in forest cover in Thua Thien Hue province, Vietnam, using the Landsat Thematic Mapper and Operational Land Imager satellite images over the period 1989–2021. Imagerie...
The paucity of energy orchestrated by the demerits of non-renewable energy sources has posed significant challenges to global demand for energy. Salvaging this difficulty, geothermal renewable energy resource is considered as an alternative. This study investigated the effectiveness of a GIS-based machine learning algorithm to analyze remote sensin...
Flooding is regarded as one of the world's most dangerous natural disasters with great highly devastating social, economic and environmental impacts. This study employs the use of a GIS-based multi-criteria decision approach (MCDA) and flood frequency analysis to assess the flood potential zones and magnitudes in the Osun River basin. Six flood cau...
Important cities in the low-lying region of the Ichinomiya River basin have experienced severe inundation in the past as a result of heavy downpour. Therefore, modeling the potential impact of floods within the river basin is extremely important for future flood disaster risk reduction and adaptation plans. Flood risk analysis requires adequate und...
Flood modeling and flood forecasting uncertainties are essential to estimate the accuracy of modeling. Uncertainty permits us to evaluate the performance of a model and allows us to account for discharge, flood extent, and flood depth in probabilistic terms. The classical approach used to consist of calibration/validation to reduce the uncertainty...
Examining the influence of land use/land cover transformation on meteorological variables has become imperative for maintaining long-term climate sustainability. Rapid growth and haphazard expansion have caused the conversion of prime agricultural land into a built-up area. This study used multitemporal Landsat data to analyze land use/land cover (...
Shoreline changes have been a major environmental concern to coastal geomorphologists, engineers’ as well coastal ecologists as a result increased alteration in the ecological system of many coasts of the world. It is causing major coastal structure damage and requires harbour dredging. The current study aimed at integrating remote sensing, geograp...
Flood risk mapping and analysis have gained much attention globally due to the increasing rate of flood disasters in most coastal and riverine areas. As a key element of flood risk study, mapping and delineation of flood hazard areas are very important for risk management and disaster reduction. We analysed potential flood hazards zones in Ogunpa r...
Land use land cover change (LULCC) is a global environmental trend that plays a key role in worldwide environmental change and sustainable development. Substantial disturbance resulting from natural and anthropogenic activities has been witnessed in sub-Sahara Africa (SSA) over the last four decades, which is mostly due to the increasing population...
Knowledge of soil nutrient’s spatial distribution and variability is useful for determining the balanced use of fertilizer inputs and for decisions making on the acquisition of land for any activity that will have its base on the lithosphere portion of the earth. This study presents statistical model for the prediction of top soil nutrients (Soil O...
Soil loss estimation and flood hazard mapping cannot be overemphasized due to their environmental, economic and societal concern. Thus, the main objective of this study was to assess the potential soil erosion and flood hazards zones using Revised Universal Soil Loss Equation (RUSLE) and Hand Above Nearest Drainage (HAND) models, respectively for a...
The Earth's ecosystems face severe environmental stress from unsustainable socioeconomic development linked to population growth, urbanization, and industrialization. Governments worldwide are interested in sustainability measures to address these issues. Remote sensing allows for the measurement, integration, and presentation of useful information...
Land use systems play a vital role in the storage of soil total nitrogen (STN) and terrestrial carbon stocks and offset of the atmospheric CO2 concentration. In this study, we estimated the overall-ecosystem carbon stocks under different land cover types in some parts of Southwestern Nigeria, sub-Saharan Africa (SSA). Soil carbon and total nitrogen...
In this study, a GIS-based integration of multi-criteria analysis and the Height Above Nearest Drainage (HAND) terrain model was adopted to delineate potential flood hazard zones and vulnerability of the Ogun River Basin, Nigeria. Flood causative factors were used as input for multi-criteria analysis using an analytical hierarchy process (AHP) and...
Analysis of land use/land cover change (LULCC) and their impacts on the natural environment is essential in policy decision for an effective solution to the sustainability of the earth system. This study employed supervised image classification (maximum likelihood) algorithm to map changes in land use/land cover for a period of 4.5 decades (1972–20...
Flooding is a serious problem affecting the urban environment and threatens the lives and properties of the urban settlers, including Akure, Ondo State in Southwestern Nigeria where it has become recurrent. The study assessed the impact of flooding on some elements at risk along Ala River in Akure, Ondo State, Nigeria using Remote Sensing and GIS t...
Issues of malnutrition among young children in developing countries are gaining more attention of policy-makers because of the adverse effects on the well-being of people and economic of these nations. Anthropometric variables used for determining malnutrition are measured through z-scores where those whose measures fall into the extreme ends of th...
The use of different approaches in the development of flood damage models in various countries is expected to affect flood damage modelling at a regional or global scale. Since these models are often used as tools for disaster management and decision making, it is very needful to understand the comparative similarity and differences in countries’ l...
In recent times, the swift and uncoordinated urban expansion in the medium sized city of Osogbo has increasingly encroached on the environmental sensitive areas. This uncoordinated exploitation of the ecological fragile areas for urban development has triggered urban flooding, which poses serious threat to human lives and properties in the city. Th...
Land use/land cover change tends to play a more critical role in controlling CO 2 emissions and annual storage. Despite the fact that the majority of the deforestation and forest degradation and consequent emissions have been occurring in tropical developing countries, little or no direct quantifications of the effects of land use change on the Car...
The continuous increase in damages to flood disasters globally has informed the need to assess vulnerability of built-up exposures for future flood risk reduction. The aim of this paper is to understand the contributions of some important variables in flood damage processes and develop loss functions for global building types, for the estimation of...
The availability of several multi-model and ensemble sub-seasonal forecasts online has generated a growing interest in extreme rainfall prediction and early warning. Developing countries located in the tropics like Sri Lanka are good examples of complex meteorological zones where early warning system progress is crucial for flood damage mitigation....
Frequencies of extreme precipitation are likely to increase under changing climate, which may result in more damage to exposed properties in the future. This study presents a methodological framework for estimating potential economic damages to flood hazards based on current and future climatic information using loss functions. Loss functions for S...
The issue of shoreline changes, due to sea level rise over several centuries, has increasingly become major social, economic and environmental concerns to a large number of coastal countries worldwide. Coastal states in Nigeria, where shoreline changes pose a serious problem to the environment and human settlements, are not exempted. The thrust of...
Assessment of infrastructural vulnerability to natural hazards, and subsequent economic loss, can make important contributions to future disaster risk minimization. The recent endeavor is to ascertain and evaluate risk globally, which can provide a framework to identify unique regional vulnerabilities, the mobilization of international investments,...
Nigeria has witnessed diverse flood events in the past years and due to the high level of vulnerability and lack of coping capacity of the people, with the fast occurrence of extreme events resulting from climate change, many lives and properties are at risk of its impacts. This paper reviews the recent past and present efforts in assessing the flo...
In this study, an integrated remote sensing and geophysical (aeromagnetic and geo-electric) methods was employed to assess the potential of groundwater in a basement complex terrain of Okene and its environs, Southwestern, Nigeria. Landsat imagery acquired over the study area was processed in the Geographic Information Systems (GIS) environment to...
Petrochemical-induced groundwater contamination was investigated using an integrated GIS and physico-chemical properties of sampled hand-dug wells close to fuel stations in Ile-Ife, Southwestern Nigeria. This was with a view to evaluating the influence of hydrocarbon spills on groundwater resources within the vicinity of the supposedly leaking unde...
Pre-disaster economic loss estimation is an important element in flood risk assessment and useful for mobilising investment and developing policies for flood loss prevention. With the potential increase of magnitudes and intensities of climate hazards with climate change pre-disaster loss estimation is becoming extremely important as many of the fl...
The significance of air pollution as one of the contemporary issues and accelerating factors that propel climate change in both developed and developing countries cannot be overemphasized. The problem of air pollution has seemingly become intractable with the incessant failure of both global and local environmental policies purportedly emplaced to...
An integrated 3D seismic and petrophysical data was employed to evaluate hydrocarbon reservoir potentials of "Keke" field in the Niger Delta. Two sands units (S1 and S2), which exists between 9127ft and 11152ft were correlated and mapped using gamma ray log while petrophysical parameters were obtained from other well logs. The sand units were furth...
Lake Magadi area of the Kenya Rift is characterized by faulting, tectonic activities and geothermal resources. The geothermal potential of the graben in the southern part of the lake was investigated using magnetic methods (ground and airborne). This was done to determine the geometry of tectonic faults and ascertain their influence on the flow of...
Lake Magadi area of the Kenya Rift is characterized by faulting, tectonic activities and geothermal resources. The geothermal potential of the graben in the southern part of the lake was investigated using magnetic methods (ground and airborne). This was done to determine the geometry of tectonic faults and ascertain their influence on the flow of...
The tectonic lineaments and thermal structure of Lake Magadi, southern Kenyan rift system, were investigated using ASTER data and geophysical methods. Five N-S faults close to known hot springs were identified for geoelectric ground investigation.Aeromagnetic data were employed to further probe faults at greater depths and determine the Curie-point...
Geothermal potentials of Lake Magadi area, a part of the Kenyan Rift System, were investigated using combined Remote Sensing, Electrical Resistivity Tomography (ERT) and Aeromagnetic methods. Structural data were first obtained from Enhanced ASTER Digital Elevation Model (DEM) and other ASTER imageries covering the study area. Five N-S Faults withi...
Questions
Questions (3)
Dear All,
Please, I need your professional advice on my project. I am simulating urban runoff from a flood event in September 1996 using Flo 2D software. I want to run rain.dat to be able to simulate the runoff for extreme events (with various return periods) but having the following challenges:
1. I have a daily total rainfall data for 10 years in excel format for 3 rain gauge locations, but the software requires ASCII grid format. Honestly I don't know how to convert the excel format I have to ASCII grid format since its a time series data. Please how can i solve this?
2. I also want to run the model for different return periods. How can this be accomplished in Flo 2D?
3. Without import rain data in ASCII format, what other methods can I possible use to create rain.dat file?
Thanks in anticipation
Akinola
Can someone help me with basic steps in floodplain mapping? I am trying to forecast future flood events and possibly come up with the expected flood plain map for any extreme events, say 1:100 years. I need some ideas on the steps in doing this, the required data and software.
Hi, I want to know how to estimate potential flood losses and damages from remote sensing and GIS under a climatic change scenarios (say; 10, 15 and 50 return period of extreme event).