Adaptation measures under the impacts of climate and land-use/land-cover changes using HSPF model simulation: application to Gongola river basin, Nigeria
Recently, there is an upsurge in flood emergencies in Nigeria, in which their frequencies and impacts are expected to exacerbate in the future due to land-use/land cover (LULC) and climate change stressors. The separate and combined forces of these stressors on the Gongola river basin is feebly unde...
| Main Authors: | , , , , , , |
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| Format: | Article |
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Elsevier B.V.
2023
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| _version_ | 1811132411646312448 |
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| author | Salaudeen, AbdulRazaq Shahid, Shamsuddin Ismail, Abubakar Adeogun, Babatunde K. Ajibike, Morufu A. Bello, Al-Amin Danladi Salau, Olugbenga B. E. |
| author_facet | Salaudeen, AbdulRazaq Shahid, Shamsuddin Ismail, Abubakar Adeogun, Babatunde K. Ajibike, Morufu A. Bello, Al-Amin Danladi Salau, Olugbenga B. E. |
| author_sort | Salaudeen, AbdulRazaq |
| collection | ePrints |
| description | Recently, there is an upsurge in flood emergencies in Nigeria, in which their frequencies and impacts are expected to exacerbate in the future due to land-use/land cover (LULC) and climate change stressors. The separate and combined forces of these stressors on the Gongola river basin is feebly understood and the probable future impacts are not clear. Accordingly, this study uses a process-based watershed modelling approach – the Hydrological Simulation Program FORTRAN (HSPF) (i) to understand the basin's current and future hydrological fluxes and (ii) to quantify the effectiveness of five management options as adaptation measures for the impacts of the stressors. The ensemble means of the three models derived from the Coupled Model Intercomparison Project Phase 5 (CMIP5) are employed for generating future climate scenarios, considering three distinct radiative forcing peculiar to the study area. Also, the historical and future LULC (developed from the hybrid of Cellular Automata and Markov Chain model) are used to produce the LULC scenarios for the basin. The effective calibration, uncertainty and sensitivity analyses are used for optimising the parameters of the model and the validated result implies a plausible model with efficiency of up to 75 %. Consequently, the results of individual impacts of the stressors yield amplification of the peak flows, with more profound impacts from climate stressor than the LULC. Therefore, the climate impact may trigger a marked peak discharge that is 48 % higher as compared to the historical peak flows which are equivalent to 10,000-year flood event. Whilst the combine impacts may further amplify this value by 27 % depending on the scenario. The proposed management interventions such as planned reforestation and reservoir at Dindima should attenuate the disastrous peak discharges by almost 36 %. Furthermore, the land management option should promote the carbon-sequestering project of the Paris agreement ratified by Nigeria. While the reservoir would serve secondary functions of energy production; employment opportunities, aside other social aspects. These measures are therefore expected to mitigate feasibly the negative impacts anticipated from the stressors and the approach can be employed in other river basins in Africa confronted with similar challenges. |
| first_indexed | 2024-09-24T00:03:38Z |
| format | Article |
| id | utm.eprints-106785 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-09-24T00:03:38Z |
| publishDate | 2023 |
| publisher | Elsevier B.V. |
| record_format | dspace |
| spelling | utm.eprints-1067852024-07-30T07:57:21Z http://eprints.utm.my/106785/ Adaptation measures under the impacts of climate and land-use/land-cover changes using HSPF model simulation: application to Gongola river basin, Nigeria Salaudeen, AbdulRazaq Shahid, Shamsuddin Ismail, Abubakar Adeogun, Babatunde K. Ajibike, Morufu A. Bello, Al-Amin Danladi Salau, Olugbenga B. E. TA Engineering (General). Civil engineering (General) Recently, there is an upsurge in flood emergencies in Nigeria, in which their frequencies and impacts are expected to exacerbate in the future due to land-use/land cover (LULC) and climate change stressors. The separate and combined forces of these stressors on the Gongola river basin is feebly understood and the probable future impacts are not clear. Accordingly, this study uses a process-based watershed modelling approach – the Hydrological Simulation Program FORTRAN (HSPF) (i) to understand the basin's current and future hydrological fluxes and (ii) to quantify the effectiveness of five management options as adaptation measures for the impacts of the stressors. The ensemble means of the three models derived from the Coupled Model Intercomparison Project Phase 5 (CMIP5) are employed for generating future climate scenarios, considering three distinct radiative forcing peculiar to the study area. Also, the historical and future LULC (developed from the hybrid of Cellular Automata and Markov Chain model) are used to produce the LULC scenarios for the basin. The effective calibration, uncertainty and sensitivity analyses are used for optimising the parameters of the model and the validated result implies a plausible model with efficiency of up to 75 %. Consequently, the results of individual impacts of the stressors yield amplification of the peak flows, with more profound impacts from climate stressor than the LULC. Therefore, the climate impact may trigger a marked peak discharge that is 48 % higher as compared to the historical peak flows which are equivalent to 10,000-year flood event. Whilst the combine impacts may further amplify this value by 27 % depending on the scenario. The proposed management interventions such as planned reforestation and reservoir at Dindima should attenuate the disastrous peak discharges by almost 36 %. Furthermore, the land management option should promote the carbon-sequestering project of the Paris agreement ratified by Nigeria. While the reservoir would serve secondary functions of energy production; employment opportunities, aside other social aspects. These measures are therefore expected to mitigate feasibly the negative impacts anticipated from the stressors and the approach can be employed in other river basins in Africa confronted with similar challenges. Elsevier B.V. 2023-02-01 Article PeerReviewed Salaudeen, AbdulRazaq and Shahid, Shamsuddin and Ismail, Abubakar and Adeogun, Babatunde K. and Ajibike, Morufu A. and Bello, Al-Amin Danladi and Salau, Olugbenga B. E. (2023) Adaptation measures under the impacts of climate and land-use/land-cover changes using HSPF model simulation: application to Gongola river basin, Nigeria. Science of the Total Environment, 858 (NA). NA. ISSN 0048-9697 http://dx.doi.org/10.1016/j.scitotenv.2022.159874 DOI:10.1016/j.scitotenv.2022.159874 |
| spellingShingle | TA Engineering (General). Civil engineering (General) Salaudeen, AbdulRazaq Shahid, Shamsuddin Ismail, Abubakar Adeogun, Babatunde K. Ajibike, Morufu A. Bello, Al-Amin Danladi Salau, Olugbenga B. E. Adaptation measures under the impacts of climate and land-use/land-cover changes using HSPF model simulation: application to Gongola river basin, Nigeria |
| title | Adaptation measures under the impacts of climate and land-use/land-cover changes using HSPF model simulation: application to Gongola river basin, Nigeria |
| title_full | Adaptation measures under the impacts of climate and land-use/land-cover changes using HSPF model simulation: application to Gongola river basin, Nigeria |
| title_fullStr | Adaptation measures under the impacts of climate and land-use/land-cover changes using HSPF model simulation: application to Gongola river basin, Nigeria |
| title_full_unstemmed | Adaptation measures under the impacts of climate and land-use/land-cover changes using HSPF model simulation: application to Gongola river basin, Nigeria |
| title_short | Adaptation measures under the impacts of climate and land-use/land-cover changes using HSPF model simulation: application to Gongola river basin, Nigeria |
| title_sort | adaptation measures under the impacts of climate and land use land cover changes using hspf model simulation application to gongola river basin nigeria |
| topic | TA Engineering (General). Civil engineering (General) |
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