Wahab Adebayo SALAMI, is a professor in the Department of Civil / Water Resources and Environmental Engineering, Faculty of Engineering and Technology, University of Ilorin. He joined the services of the University in August 2000. He holds a PhD degree in Civil Engineering in 2007 and became professor in 2017. He was a visiting scholar at New York State University, Buffalo and North Carolina State University, Raleigh, USA under Fulbright Scholarship.
He has served as the Sub-Dean, Regional Coordinator National Water Resources Capacity Building Networks, NWRCBNet-NC, Head of Department of Civil Engineering and currently the Director National Centre for Hydropower Research and Development, (NACHRED), Energy Commission of Nigeria.
His teaching and research interest include; Civil Engineering, Water resources system planning & Management, Environmental engineering, Irrigation & Drainage, Flood control & Hydrological Studies.
RESEARCH, TEACHING, or OTHER INTERESTS
Renewable Energy, Sustainability and the Environment, Civil and Structural Engineering, Water Science and Technology
25
Scopus Publications
1310
Scholar Citations
20
Scholar h-index
41
Scholar i10-index
Scopus Publications
Harnessing IoT and advanced analytics for sustainable water quality management I.A. Aderemi, O.G. Okeola, H.O. Mahmud, T.S. Abdulkadir, H.A. Salami, A.W. Salami Water Energy Nexus, 2025 • Real-time IoT-enabled system improves water quality monitoring in the University of Ilorin. • Advanced analytics identify decreasing trends in Electrical Conductivity (EC) and Total Dissolved Solids (TDS). • Canadian Water Quality Index (CCME WQI) categorizes water quality as ’Excellent’ with a score of 94.42 %. • Principal Component Analysis (PCA) reveals EC and TDS as primary factors influencing water quality variability. • Solar-powered IoT system offers sustainable, continuous water quality monitoring for public health safety. Access to safe and clean water remains challenging in resource-constrained environments, where conventional laboratory-based assessments suffer from delayed feedback and limited sampling. This study developed and validated a solar-powered Internet of Things (IoT)–enabled real-time water quality monitoring framework, integrating sensor networks with cloud-based analytics. A weatherproof sensor system was deployed at the University of Ilorin Water Treatment Plant, collecting 100 time-stamped observations over 13 days. The system measured six key physicochemical parameters—pH, turbidity, temperature, oxidation–reduction potential (ORP), electrical conductivity (EC), and total dissolved solids (TDS). The Canadian Council of Ministers of the Environment Water Quality Index (CCME-WQI) yielded a score of 94.42 %, classifying the water as “ excellent ” . Pearson correlation revealed strong relationships between turbidity and temperature ( r = 0.59) and temperature and EC ( r = 0.43). Trend analysis using the Mann–Kendall test showed significant increases in turbidity ( τ = 0.339) and EC ( τ = 0.222), while pH declined ( τ = –0.383). Corresponding Sen’s slopes confirmed gradual daily changes. OLS regression supported turbidity’s upward trend ( β = 0.0261, R 2 = 0.202). Principal Component Analysis (PCA) reduced the dataset to three components, with the first two explaining 57.26 % of the total variance. PC1 was associated with TDS, EC, and turbidity; PC2 with pH and ORP; and PC3 with temperature. These results demonstrate the system’s capability for automated water quality assessment. Future work should expand temporal coverage, adopt predictive modeling, and extend deployments across multiple sites for broader impact.
Ilorin metropolitan water supply infrastructure (WSI) asset management under limited data Olayinka Okeola, Yussuf Laaro, Taofeek Abdulkadir, Adebayo Salami Water Practice and Technology, 2025 Traditional water supply infrastructure management relies heavily on manual inspection methods that often fall short, particularly for monitoring deeply buried and inaccessible systems. These challenges are exacerbated by the limited data availability, such as historical pipe failure records, material degradation rates, and soil composition details, which are vital for infrastructure assessment. To overcome these limitations, this study employs Monte Carlo simulations to generate a comprehensive dataset that incorporates variables such as pipe breaks, diameter, age, soil type, and material. Advanced statistical techniques, including logistic regression and Bayesian updating, are then used to refine predictions dynamically by integrating simulation results with sparse real-world observations. This approach not only identified key risk factors like pipe age and break frequency but also demonstrated strong accuracy in classifying asset conditions. The study's findings support the development of a prioritized asset management plan, emphasizing routine data collection and predictive maintenance strategies that enhance infrastructure resilience and performance.
Spatial Hydrological Analysis on storm water harvesting investigation for sustainable water resources management strategy Olayinka Gafar Okeola, Lateef Taiwo Sulaiman, Taofeek Abdulkadri Sholagberu, Wahab Adebayo Salami International Review of Applied Sciences and Engineering, 2023 The water issue has become a frontier of public debate globally due to public awareness of sustainable development. Nigeria's water resources are under serious threat from inadequate catchment management that includes widespread pollution from indiscriminate waste disposal. Stormwater is now recognized as a valuable resource rather than a nuisance, especially in large urban centers. Growing demand for water has exerted pressure on groundwater via dug well and boreholes scattered virtually in every dwelling in Nigeria. This challenge motivated this investigation of the feasibility of harvesting stormwater for due purposes of supplementing water supply and flash flood management. This study aims at quantification of harvestable stormwater and identification of potential capturing sites using Spatial Hydrological Analysis of GIS model and Synthetic Hydrograph. The result indicated total harvestable stormwater for 24-hr rainfall of 161.3 Mm3 and three available capturing sites of eight depressions identified. This volume is a good incentive to incorporate storm harvesting in overall water resources sustainable management.
Simulation-based optimization of hybrid renewable energy system for off-grid rural electrification Akinola Sunday Oladeji, Mudathir Funsho Akorede, Salihu Aliyu, Abdulrasaq Apalando Mohammed, Adebayo Wahab Salami International Journal of Renewable Energy Development, 2021 There is a need to develop an optimization tool that can be applied in the feasibility study of a hybrid renewable energy system to find the optimal capacity of different renewable energy resources and support the decision makers in their performance investigation. A multi-objective function which minimizes the Levelized Cost of Energy (LCOE) and Loss of Load Probability Index (LLPI) but maximizes the novel Energy Match Ratio (EMR) was formulated. Simulation-based optimization method combined with ε-constraint technique was developed to solve the multi-objective optimization problem. In the study, ten-year hourly electrical load demand, using the end-use model, is estimated for the communities. The performance of the developed algorithm was evaluated and validated using Hybrid Optimization Model for Electric Renewables (HOMER®) optimization software. The developed algorithm minimized the LCOE by 6.27% and LLPI by 167% when compared with the values of LCOE ($0.444/kWh) and LLPI (0.000880) obtained from the HOMER® optimization tool. Also, the LCOE with the proposed approach was calculated at $0.417/kWh, which is lower than the $0.444/kWh obtained from HOMER®. From environmental perspective, it is found that while 141,370.66 kg of CO2 is saved in the base year, 183,206.51 kg of CO2 is saved in the ninth year.The study concluded that the approach is computationally efficient and performed better than HOMER® for this particular problem.The proposed approach could be adopted for carrying out feasibility studies and design of HRES for Off-Grid electrification, especially in the rural areas where access to the grid electricity is limited
System dynamics approach for evaluating existing and future water allocation planning among conflicting users O. T. Amoo, M. D. V. Nakin, A. Abayomi, H. O. Ojugbele, A. W. Salami International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences ISPRS Archives, 2020 Water shortages are a chronic and severe problem in South Africa. Allocation of this limited water resources, environmental quality, and policies for sustainable water use are issues of increasing concern that require accurate and timely information to evolve strategies for dynamic natural resources management. Specifically, this paper is aimed to assist the planning, restoring and to rationally allocate the water resources in any river basin in resolving the current water stresses in many parts of South Africa, by using integrated knowledge from simulation and integrated river basin management approach. The developed system dynamic (SD) allocation system was used to investigates the extent to which the framework is ‘sustainable’ in the medium and long terms in evaluating existing and future water allocation among conflicting users at Mkomazi River Basin (MRB), KwaZulu-Natal Province, South Africa The invented SD framework confirms agricultural water use as the highest demand when compared with other users. The optimal sustainability performance index (0.25) of the system at 70% dependable flow shows an integrated scenario that combines rainfall variation with improved irrigation water use efficiency as a suitable framework plan. The study uses integrated knowledge from simulation and integrated river basin management approach as a feasible method to assist the planning, restoring and to rationally allocate the water resources in any river basin with similar attributes to the study area in resolving the current water stresses in many parts of the country. Water resources managers would find these tools beneficial in understanding the complex nature of water resources allocation and in determining priorities area which required prompt attention and intervention.
Sustainable management of erosion prone areas of upper watershed of Kainji hydropower dam, Nigeria Adeniyi Ganiyu Adeogun, Biliyamin Adeoye Ibitoye, Adebayo Wahab Salami, Godwin Terhemba Ihagh Journal of King Saud University Engineering Sciences, 2020 Reservoir sedimentation has been a major concern to stakeholders around the world in the implementation of sustainable management of hydropower dams. Not only that it reduces the storage capacity of reservoirs, several sediment related problems such as reduction in water quality and acceleration of abrasion of underwater parts can impair the primary purpose of which the reservoir is built. Therefore, sustainable management of watersheds upstream of hydropower dam is necessary to combat the issues of sedimentation and to extend its useful life. In this study, Soil and Water Assessment Tool (SWAT) was interfaced with MapwindowGIS to model and predict sediment yield and concentration into sub-basins of the upper watershed of Kainji hydropower dam in Nigeria which has an area of 30,350 km2. The model was run daily for 30 years and performance evaluation was carried out using Coefficient of Determination (R2) and Nash Sutcliffe Efficiency (NSE). Model calibration and validation as well as identification of erosion prone areas were equally achieved. The results showed that average annual sediment yield and concentration were 35.29 t/ha/year and 11,903.7 mg/l respectively. Application of filter strips on critical erosion prone region showed that sediment yield and concentration could be reduced up to 37% and 34% respectively. Also, construction of stone bunds in the watershed showed a reduction of up to 75% and 84% for sediment yield and concentration respectively. The outcome of this study could allow control effort to be focused effectively on an area identified as extreme cases and could also be used by relevant authorities in prioritizing implementation of Best Management Practices (BMPs) for the area.
Geospatial water resources allocation modeling and prognostic scenario planning in lower Benue River Basin, Nigeria. Zainab Abdulmalik, Adebayo Wahab Salami, Solomon Olakunle Bilewu, Ayanniyi Mufutau Ayanshola, Oseni Taiwo Amoo, Abayomi Abdultaofeek, Israel Edem Agbehadji ACM International Conference Proceeding Series, 2019 Water allocation management in an equitable and sustainable way is intrinsically complex. Climate change and managerial policy have further adversely altered the hydrologic cycles thus, threatens to worsen the current supply-demand imbalance. This study was conducted in Lower Benue River Catchment in the North Central crevice of Nigeria, to assess the consequences of climate change due to changing rainfall patterns in the area and proposes different prognostic scenarios adaptation on the current and future water allocation sharing in the area. The Soil and Water Assessment Tool (SWAT) was interfaced with Map window - Geographic Information Systems (GIS) for the basin hydrological modeling to assess the impact of the watershed characteristics on runoff and subsequent quantification of the catchment water yield before been allocated optimally based on percentage dependable flow rates of 70% and 85% reliability flow regime at Makurdi, Nigeria discharge station. Furthermore, the Water Evaluation and Planning tool (WEAP) model was used for the water resources utilization simulation and adaptation scenarios by the different riparian users. The SWAT model performed satisfactorily for streamflow and water yield prediction both in the calibration and validation phases with a R2 of 0.57-0.68 and RSR of 0.66-0.82, while the WEAP model calibration and validation at the same station with rainfall data posted a R2 of 0.64 and 0.89. Planners and decision-makers on water resources allocation, therefore, need to consider several integrated plans as alternatives to the adaptation to climate change impacts and anthropogenic activities in resolving the unmet demands.
Assessment of Noise from Transportation Systems in Ilorin, Nigeria S.O. Bilewu, A.W. Salami, A.M. Ayanshola, I.T. Yusuf Nigerian Journal of Technological Development, 2019 Noise from transportation systems is unavoidable in urban areas and can be harmful to human health. The noise generated by selected transportations systems in Ilorin, an urban area in central Nigeria, was studied by direct measurements and the use of questionnaires. Measurements were taken at the airport, train station and different locations for vehicular traffic. Questionnaires were also administered on residents of these areas to elicit information on the perception of transportation noise in the areas. The results show that all the studied locations produced maximum noise levels in excess of the 85-dBA acceptable tolerable limit for humans. The train station produced the highest stepwise noise levels due to the motion and horning of the locomotive engines. The study also established distances in which the sound level is safe over a specific period of time for each of the studied noise sources. These are of 18.84 m, 161.21 m, 13.85 m and 15.08 m for aircraft take-off, movement and horning of railway locomotive engine and vehicular traffic inside and outside town respectively. Suggested solutions were that residential buildings, academic areas and hospitals should not be located too close to sources of transportation noise and the need for enforcement of relevant noise control laws is to be pursued. Keywords: Noise pollution, sound pressure level, equivalent sound level, acceptable noise level, noise perception
Assessment of jebba hydropower dam operation for improved energy production and flood management Arpn Journal of Engineering and Applied Sciences, 2016
Fitting probability distribution functions to reservoir inflow at hydropower dams in Nigeria Journal of Environmental Hydrology, 2008
Simulation of hydrologic flood routing for downstream of Jebba dam using Muskingum technique Modelling Measurement and Control C, 2005
Prediction of the annual flow regime along Asa river using probability distribution models Modelling Measurement and Control C, 2004
RECENT SCHOLAR PUBLICATIONS
Fuzzy Synthetic Evaluation of the Level of Service of Agba Dam Water Treatment Plant OG Okeola, TS Abdulkadir, AA Abdulazeez, AW Salami LAUTECH Journal of Engineering and Technology 20 (1), 66-76 , 2026 2026
Harnessing IoT and advanced analytics for sustainable water quality management IA Aderemi, OG Okeola, HO Mahmud, TS Abdulkadir, HA Salami, ... Water-Energy Nexus , 2025 2025 Citations: 5
Geocoding and Development of a Web-Based Water Distribution Geospatial Information System for Ilorin Metropolitan City, Kwara State Nigeria OT Amoo, HA Salami, OG Okeola, A Sunday, TS Abdulkadir, AW Salami International Journal of Applied Sciences and Smart Technologies 7 (1), 29-56 , 2025 2025
Water Allocation in The Lower Niger River Basin, Nigeria Using WEAP Model OT Amoo, OA Taiwo, AW Salami Selected Scientific Papers-Journal of Civil Engineering 20 (1), 1-24 , 2025 2025
Ilorin metropolitan water supply infrastructure (WSI) asset management under limited data O Okeola, Y Laaro, T Abdulkadir, A Salami Water Practice and Technology 20 (5), 1276 , 2025 2025 Citations: 1
FUZZY SYNTHETIC EVALUATION OF THE LEVEL OF SERVICE OF AGBA DAM WATER TREATMENT PLANT OG Okeola, AA Abdulazeez, TS Abdulkadir, AW Salami Acta Technica Corviniensis-Bulletin of Engineering 18 (2), 33-39 , 2025 2025
Dam break analysis and development of inundation map: a case study of asa dam, ilorin, kwara state, nigeria AW SALAMI, OG OKEOLA, TS SALIMON, HA SALAMI, TS ABDULKADIR LAUTECH Journal of Engineering and Technology 19 (5), 142-151 , 2025 2025
STORMWATER RESOURCES POTENTIAL AND IMPACT OF RAINFALL VARIABILITY: A CASE STUDY OF ILORIN METROPOLITAN CITY, NORTH CENTRAL, NIGERIA HA Salami, OG Okeola, TS Abdulkadir, AW SalamI Annals of the Faculty of Engineering Hunedoara 22 (4), 93-103 , 2024 2024
ESTIMATING THE POTENTIAL FOR RAINWATER HARVESTING IN ILORIN, NORTH CENTRAL, NIGERIA A AM, JA Adidu, I JO, SB Oladimeji, BF Sule, AW Salami, SO Bilewu FUTA JOURNAL OF ENGINEERING AND ENGINEERING TECHNOLOGY 18 (1), 68-78 , 2024 2024
DETERMINATION OF PEAK RUNOFF USING THE CATCHMENT CHARACTERISTICS ALONG FOMA BASIN ILORIN, NORTH CENTRAL NIGERIA AA Chindo, AW Salamia Annals of the Faculty of Engineering Hunedoara 21 (4), 45-50 , 2023 2023
A Review of Sustainable Hydropower Generation in Nigeria TS Abdulkadir, AB Sulyman, AA Mohammed, AS Aremu, AW Salami, ... Acta Technica Corviniensis-Bulletin of Engineering 16 (4), 125-131 , 2023 2023 Citations: 2
Spatial Hydrological Analysis on storm water harvesting investigation for sustainable water resources management strategy OG Okeola, LT Sulaiman, TA Sholagberu, WA Salami International Review of Applied Sciences and Engineering 14 (1), 114-124 , 2023 2023 Citations: 4
A COMPLEMENTARY APPROACH TO PREDICTING THE MAGNITUDE OF FLOOD ALONG FOMA RIVER USING CROSS–SECTIONAL VARIABLES AA Chindo, FS Bolaji, SB Olaitan, WS Adebayo, LL Ladokun Acta Technica Corviniensis-Bulletin of Engineering 16 (1), 77-82 , 2023 2023
A COMPLEMENTARY APPROACH TO PREDICTING MAGNITUDE OF FLOOD ALONG FOMA RIVER USING CROSS-SECTIONAL VARIABLES AA Chindo, FB Sule, SB Laitan, WA Salami, LL Ladokun Acta Technica Corviniensis-Bulletin of Engineering 15 (4), 13-18 , 2022 2022
Prediction and Simulation of Kainji Hydropower Reservoir Operation in Nigeria AA Mohammed, BF Sule, AW Salami, AG Adeogun, AM Ayanshola, ... Nigerian Journal of Engineering 29 (1), 29-35 , 2022 2022 Citations: 1
A study on the applicability of a Swat model in predicting the water yield and water balance of the Upper Ouémé catchment in the Republic of Benin OO Olofintoye, AM Ayanshola, AW Salami, A Idrissiou, JO Iji, OO Adeleke Slovak Journal of Civil Engineering 30 (1), 57-66 , 2022 2022 Citations: 12
Prediction of water yield and balance in Upper Oueme River Catchment in Benin Republic TS Abdulkadir, AY Idrissou, AW Salami, SA Aremu, MA Ayanshola, ... BAYERO JOURNAL OF ENGINEERING AND TECHNOLOGY 17 (1), 41-52 , 2022 2022 Citations: 1
Simulation-based optimization of hybrid renewable energy system for off-grid rural electrification AS Oladeji, MF Akorede, S Aliyu, AM Abdulrasaq, AW Salami International Journal of Renewable Energy Development 10 (4), 667 , 2021 2021 Citations: 38
GIS-based approach for morphometric characteristics and development of hydrographs for the upper watershed of Jebba Reservoir, Nigeria AG Adeogun, AA Mohammed, HO Ganiyu, AW Salami Ethiopian Journal of Science and Technology 14 (3), 239-257 , 2021 2021
Modelling of turbidity variation in a water treatment plant AM Ayanshola, AA Alao, AW Salami, SO Bilewu, AA Mohammed, ... Acta Technica Corviniensis-Bulletin of Engineering 14 (4), 41-44 , 2021 2021 Citations: 3
MOST CITED SCHOLAR PUBLICATIONS
Best–fit Probability distribution model for peak daily rainfall of selected Cities in Nigeria OO Olofintoye, BF Sule, AW Salami New York Science Journal 2 (3), 1-12 , 2009 2009 Citations: 134
Validation of SWAT model for prediction of water yield and water balance: case study of upstream catchment of Jebba dam in Nigeria AG Adeogun, BF Sule, AW Salami, MO Daramola International Journal of Physical, Nuclear Science and Engineering 8 (2), 1-7 , 2014 2014 Citations: 64
Cost effectiveness of sediment management strategies for mitigation of sedimentation at Jebba Hydropower reservoir, Nigeria AG Adeogun, BF Sule, AW Salami Journal of King Saud University-Engineering Sciences 30 (2), 141-149 , 2018 2018 Citations: 52
Runoff hydrographs using Snyder and SCS synthetic unit hydrograph methods: A case study of selected rivers in south west Nigeria AW Salami, SO Bilewu, BA Ibitoye, MA Ayanshola Journal of Ecological Engineering 18 (1) , 2017 2017 Citations: 52
Evaluation of synthetic unit hydrograph methods for the development of design storm hydrographs for Rivers in South-West, Nigeria AW Salami, SO Bilewu, AM Ayanshola, SF Oritola Journal of American Science 5 (4), 23-32 , 2009 2009 Citations: 51
Modelling of hydropower reservoir variables for energy generation: neural network approach TS Abdulkadir, AW Salami, AR Anwar, AG Kareem Ethiopian Journal of Environmental Studies and Management 6 (3), 310 , 2013 2013 Citations: 49
Climate change in Lagos state, Nigeria: what really changed? AO Sojobi, II Balogun, AW Salami Environmental monitoring and assessment 188 (10), 556 , 2016 2016 Citations: 47
Simulation-based optimization of hybrid renewable energy system for off-grid rural electrification AS Oladeji, MF Akorede, S Aliyu, AM Abdulrasaq, AW Salami International Journal of Renewable Energy Development 10 (4), 667 , 2021 2021 Citations: 38
Assessment of impact of hydropower dams reservoir outflow on the downstream river flood regime–Nigeria’s experience DO Olukanni, AW Salami Hydropower-practice and application 36, 61-82 , 2012 2012 Citations: 35
Simulation of sediment yield at the upstream watershed of Jebba Lake in Nigeria using SWAT model AG Adeogun, BF Sule, AW Salami Malaysian Journal of Civil Engineering 27 (1) , 2015 2015 Citations: 33
Trend analysis of hydro-meteorological variables using the Mann-Kendall trend test: Application to the Niger River and the Benue sub-basins in Nigeria AW Salami, AA Mohammed, ZH Abdulmalik, OK Olanlokun International Journal of Technology 5 (2), 100-110 , 2014 2014 Citations: 33
GIS-Based Hydrological Modelling using SWAT: Case study of upstream watershed of Jebba reservoir in Nigeria AG Adeogun, BF Sule, AW Salami, OG Okeola Nigerian Journal of Technology 33 (3), 351-358 , 2014 2014 Citations: 31
Evaluation of willingness to pay for reliable and sustainable household water use in Ilorin, Nigeria. AM Ayanshola, BF Sule, AW Salami Ethiopian Journal of Environmental Studies & Management 6 , 2013 2013 Citations: 30
Optimization-based reliability of a multipurpose reservoir by Genetic Algorithms: Jebba Hydropower Dam, Nigeria DO Olukanni, TA Adejumo, AW Salami, AA Adedeji Cogent Engineering 5 (1), 1438740 , 2018 2018 Citations: 28
Application of artificial neural network model to the management of hydropower reservoirs along River Niger, Nigeria TS Abdulkadir, BF Sule, AW Salami Annals of the Faculty of Engineering Hunedoara 10 (3), 419 , 2012 2012 Citations: 28
Artificial neural network modeling of rainfall in Ilorin, Kwara State, Nigeria TS Abdulkadir, AW Salami, AG Kareem Journal of Research Information in Civil Engineering , 2012 2012 Citations: 27
Prediction of the annual flow regime along Asa River using probability distribution models AW Salami AMSE periodical 65, 41-56 , 2004 2004 Citations: 25
Trend analysis of hydro-meteorological variables in the coastal area of Lagos using Mann-Kendall trend and Standard Anomaly Index methods AW Salami, OD Ikpee, AB Ibitoye, SF Oritola Journal of Applied Sciences and Environmental Management 20 (3), 797-808 , 2016 2016 Citations: 24
Assessment of impact of climate change on runoff in the Kainji lake basin using statistical methods AW Salami, AA Mohammed, JA Adeyemo, OK Olanlokun International Journal of Water Resources and Environmental Engineering 7 (2 … , 2015 2015 Citations: 21
Modelling of residential water demand at household level in Ilorin, Nigeria AM Ayanshola, BF Sule, AW Salami Journal of Research Information in Civil Engineering 7 (1), 16-28 , 2010 2010 Citations: 21
