PROJECTED HYDROLOGICAL CHANGE IN THE DANO CATCHMENT, BURKINA FASO: IMPLICATIONS OF CLIMATE AND LAND-USE SCENARIOS FOR WATER SCARCITY AND DROUGHT RISK

Authors

  • Okafor, G. C. Nigeria Maritime University image/svg+xml Author
  • Larbi, I. University of Environment and Sustainable Development image/svg+xml Author
  • Limantol, A. University of Environment and Sustainable Development image/svg+xml Author

DOI:

https://doi.org/10.5281/

Keywords:

Water Balance, Surface Runoff, CA-Markov, Afforestation, Ecosystem Function, Agricultural Expansion

Abstract

Water resource shortages are a growing concern in the semi-arid Dano catchment, Burkina Faso, where climate and land-use change jointly reshape the ecosystem services local communities depend on. This study uses the Soil and Water Assessment Tool (SWAT), integrating four bias-corrected CORDEX-Africa Regional Climate Models under RCPs 4.5 and 8.5 with two CA-Markov-projected 2050 land-use scenarios, Business-as-Usual (BAU) and Afforestation, to quantify impacts on surface runoff, groundwater/base flow, lateral flow, evapotranspiration (ET), and water yield. Projected land use shows continued forest degradation, agricultural expansion, and settlement growth, with savannah cover declining 8.18% under BAU but recovering 2.13% under Afforestation. Under LULC change alone, water balance components rise modestly: water yield by 0.18-0.28%, runoff by 0.02-3.30%, and ET by 0.21%, while lateral flow falls by up to 1.46% under Afforestation. Under climate change alone, precipitation is projected to fall 20-22% and temperature to rise 1.50-1.70°C (RCP4.5/8.5), driving sharp declines in runoff (up to 77%), groundwater flow (up to 90%), lateral flow (30%), and water yield (64%), alongside a 3.6-3.9% rise in potential evapotranspiration (PET). Combined signals indicate an overall decline in water balance components by 2050, with PET rising 3.2-3.7% even as urban and cropland expansion marginally elevate streamflow. These results reveal a significant association between climate, streamflow, and human land-use pressures, heightening drought and flood risk. Afforestation is identified as key to sustaining future flows, though its benefit is strongly moderated by climate severity. Findings support water managers in pursuing afforestation, erosion control, and water conservation to advance SDGs 6, 13, and 15.  

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Author Biographies

  • Okafor, G. C., Nigeria Maritime University

    Department of Meteorology and Climate Change

  • Larbi, I., University of Environment and Sustainable Development

    Department of Water Resources and Sustainable Development, School of Sustainable Development

  • Limantol, A., University of Environment and Sustainable Development

    Department of Water Resources and Sustainable Development, School of Sustainable Development

References

Adenle, A. A., Eckert, S., Adedeji, O. I., Ellison, D., & Speranza, C. I. (2020). Human-induced land degradation dominance in the Nigerian Guinea Savannah between 2003–2018. Remote Sensing Applications: Society and Environment, 19, 100360. https://doi.org/10.1016/j.rsase.2020.100360

Ahn, K. H., & Merwade, V. (2014). Quantifying the relative impact of climate and human activities on streamflow. Journal of Hydrology, 515, 257–266. https://doi.org/10.1016/j.jhydrol.2014.04.062

Akhoudas, C. H., et al. (2023). Isotopic evidence for an intensified hydrological cycle in the Indian sector of the Southern Ocean. Nature Communications, 14(1), 1–11. https://doi.org/10.1038/s41467-023-38425-5

Andreini, M., van de Giesen, N., van Edig, A., Fosu, M., & Andah, W. (2000). Volta Basin water balance. ZEF Discussion Papers on Development Policy, 21.

Arnold, J. G., et al. (2012). SWAT: Model use, calibration, and validation. Transactions of the ASABE, 55(4), 1491–1508.

Aston, P. J. (2002). Avoiding conflicts over Africa’s water resources. Ambio, 31(3), 236–242. https://www.jstor.org/stable/4315243

Awotwi, A., Kumi, M., Pe, J., Yeboah, F., & Ik, N. (2015). Predicting hydrological response to climate change in the White Volta. Earth Science & Climate Change, 6(1), 1–7. https://doi.org/10.4172/2157-7617.1000249

Barry, B., Obuobie, E., Andreini, M., Andah, W., & Pluquet, M. (2005). The Volta River Basin: Comprehensive assessment and management. Water Report, 1–187.

Boretti, A., & Rosa, L. (2019). Reassessing the projections of the World Water Development Report. npj Clean Water, 2, 15. https://doi.org/10.1038/s41545-019-0039-9

Bossa, A., Diekkrüger, B., & Agbossou, E. (2014). Scenario-based impacts of land use and climate change on land and water degradation from the meso to regional scale. Water, 6(10), 3152–3181. https://doi.org/10.3390/w6103152

Bradshaw, C. J. A., Sodhi, N. S., Peh, K. S. H., & Brook, B. W. (2007). Global evidence that deforestation amplifies flood risk and severity in the developing world. Global Change Biology, 13(11), 2379–2395. https://doi.org/10.1111/j.1365-2486.2007.01446.x

Cannon, A. J., Sobie, S. R., & Murdock, T. Q. (2015). Bias correction of GCM precipitation by quantile mapping: How well do methods preserve changes in quantiles and extremes? Journal of Climate, 28(17), 6938–6959. https://doi.org/10.1175/JCLI-D-14-00754.1

Cohen, J. E. (2010). Population and climate change. Proceedings of the American Philosophical Society, 154(2), 158–182.

Cornelissen, T., Diekkrüger, B., & Giertz, S. (2013). A comparison of hydrological models for assessing the impact of land use and climate change on discharge in a tropical catchment. Journal of Hydrology, 498, 221–236. https://doi.org/10.1016/j.jhydrol.2013.06.016

Darko, D., Adjei, K. A., Appiah-Adjei, E. K., Obuobie, E., Asmah, R., & Odai, S. N. (2018). Simulation of climate characteristics and extremes of the Volta Basin using CCLM and RCA regional climate models. Theoretical and Applied Climatology, 135(1–2), 741–763. https://doi.org/10.1007/s00704-018-2485-6

Descroix, L., et al. (2009). Spatio-temporal variability of hydrological regimes around the boundaries between Sahelian and Sudanian areas of West Africa: A synthesis. Journal of Hydrology, 375, 90–102. https://doi.org/10.1016/j.jhydrol.2008.12.012

Dias, L. C. P., Macedo, M. N., Costa, M. H., Coe, M. T., & Neill, C. (2015). Effects of land cover change on evapotranspiration and streamflow of small catchments in the Upper Xingu River Basin, Central Brazil. Journal of Hydrology: Regional Studies, 4, 108–122. https://doi.org/10.1016/j.ejrh.2015.05.010

Duadze, S. E. K. (2004). Land use and land cover study of the savannah ecosystem in the Upper West Region (Ghana) using remote sensing. Göttingen: Cuvillier Verlag.

Fürst, C., & Flügel, W.-A. (2015). Assessing the impact of land-use changes on providing hydrological ecosystem functions and services – A case-study experience based conceptual framework. In Ecosystem Services and River Basin Ecohydrology (pp. 1–341). https://doi.org/10.1007/978-94-017-9846-4

Funk, C., et al. (2015). The climate hazards infrared precipitation with stations – A new environmental record for monitoring extremes. Scientific Data, 2, 66. https://doi.org/10.1038/sdata.2015.66

Forkuor, G., Hounkpatin, O. K. L., Welp, G., & Thiel, M. (2017). High resolution mapping of soil properties using remote sensing variables in south-western Burkina Faso: A comparison of machine learning and multiple linear regression models. PLoS One, 12(1), e0170478. https://doi.org/10.1371/journal.pone.0170478

Gasse, F. (2000). Hydrological changes in the African tropics since the Last Glacial Maximum. Quaternary Science Reviews, 19, 189–211.

Grillakis, M. G., Koutroulis, A. G., & Tsanis, I. K. (2011). Climate change impact on the hydrology of Spencer Creek watershed in Southern Ontario, Canada. Journal of Hydrology, 409(1–2), 1–19. https://doi.org/10.1016/j.jhydrol.2011.06.018

Gudmundsson, L., Bremnes, J. B., Haugen, J. E., & Engen-Skaugen, T. (2012). Technical note: Downscaling RCM precipitation to the station scale using statistical transformations – A comparison of methods. Hydrology and Earth System Sciences, 16(9), 3383–3390. https://doi.org/10.5194/hess-16-3383-2012

Haleem, K., et al. (2022). Hydrological impacts of climate and land-use change on flow regime variations in upper Indus basin. Journal of Water and Climate Change, 13(2), 758–770. https://doi.org/10.2166/wcc.2021.238

Hengl, T., et al. (2017). SoilGrids250m: Global gridded soil information based on machine learning. PLoS One, 12(2), e0169748. https://doi.org/10.1371/journal.pone.0169748

Hersbach, H., et al. (2020). The ERA5 global reanalysis. Quarterly Journal of the Royal Meteorological Society, 146(730), 1999–2049. https://doi.org/10.1002/qj.3803

Huntington, T. G. (2006). Evidence for intensification of the global water cycle: Review and synthesis. Journal of Hydrology, 319(1–4), 83–95. https://doi.org/10.1016/j.jhydrol.2005.07.003

Ibrahim, B., Karambiri, H., & Polcher, J. (2015). Hydrological impacts of the changes in simulated rainfall fields on Nakanbe Basin in Burkina Faso. Climate, 3, 442–458. https://doi.org/10.3390/cli3030442

INSD. (2020). Annuaire statistique 2019. Ouagadougou: Institut National de la Statistique et de la Démographie. Retrieved from https://www.insd.bf/contenu/pub_periodiques/annuaires_stat/annuaires_stat_nationaux_BF/Annuaire_Statistique_National_2019.pdf

IPCC. (2013). The IPCC’s fifth assessment report: What’s in it for Africa? Executive summary. Retrieved from http://cdkn.org/wp-content/uploads/2014/04/J1731_CDKN_FifthAssesmentReport_WEB.pdf

IPCC. (2014). Climate Change 2014: Mitigation of Climate Change. Assessment Report. Geneva, Switzerland.

IPCC WGI Technical Support Unit. (2014). Working Group I contribution to the IPCC fifth assessment report: Climate change 2013 – The physical science basis. Final draft underlying scientific-technical assessment.

Knauer, K., Gessner, U., Fensholt, R., Forkuor, G., & Kuenzer, C. (2017). Monitoring agricultural expansion in Burkina Faso over 14 years with 30 m resolution time series: The role of population growth and implications for the environment. Remote Sensing, 9(2), 2132. https://doi.org/10.3390/rs9020132

Luhunga, P., Botai, J., & Kahimba, F. (2016). Evaluation of the performance of CORDEX regional climate models in simulating present climate conditions of Tanzania. Journal of Southern Hemisphere Earth Systems Science, 66(1), 32–54. https://doi.org/10.22499/3.6601.005

Mahe, G. (2006). The impacts of land-use/land-cover change and climate variability on the hydrology of the Sahel. In Climate Variability and Change—Hydrological Impacts (pp. 679–684). IAHS.

Moriasi, D. N., Arnold, J. G., Van Liew, M. W., Bingner, R. L., Harmel, R. D., & Veith, T. L. (2007). Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Transactions of the ASABE, 50(3), 885–900. https://doi.org/10.13031/2013.23153

Muhammed, H. H., Nasidi, N. M., & Wayayok, A. (2022). Impact of climate changes and land use/land cover changes on water resources in Malaysia. In A. M. F. Al-Quraishi, Y. T. Mustafa, & A. M. Negm (Eds.), Environmental degradation in Asia (pp. 321–340). Springer. https://doi.org/10.1007/978-3-031-12112-8_21

Mukhopadhaya, S. (2016). Land use and land cover change modelling using CA-Markov: Case study deforestation analysis of Doon Valley. Journal of Agroecology and Natural Resource Management, 3(1), 1–5.

Nazzal, J. M., El-Emary, I. M., & Najim, S. A. (2008). Multilayer perceptron neural network (MLPs) for analyzing the properties of Jordan oil shale. World Applied Science Journal, 5, 546–552.

Okafor, G. C., Annor, T., Odai, S. N., & Agyekum, J. (2019). Volta basin precipitation and temperature climatology: Evaluation of CORDEX-Africa regional climate model simulations. Theoretical and Applied Climatology, 1–25. https://doi.org/10.1007/s00704-018-2746-4

Okafor, G. C., Annor, T., Odai, S. N., & Larbi, I. (2019). Land use landcover change monitoring and projection in the Dano catchment, Southwest Burkina Faso. International Journal of Advanced Remote Sensing and GIS, 9(1), 3185–3204. https://doi.org/10.23953/cloud.ijarsg.445

Okafor, G. C., Larbi, I., Chukwuma, E. C., Nyamekye, C., Limantol, A. M., & Dotse, S. Q. (2021). Local climate change signals and changes in climate extremes in a typical Sahel catchment: The case of Dano catchment, Burkina Faso. Environmental Challenges, 5, 100285. https://doi.org/10.1016/j.envc.2021.100285

Pratap, S., & Markonis, Y. (2022). The response of the hydrological cycle to temperature changes in recent and distant climatic history. Progress in Earth and Planetary Science, 9(1). https://doi.org/10.1186/s40645-022-00489-0

Rameshwaran, P., Bell, V. A., Davies, H. N., & Kay, A. L. (2021). How might climate change affect river flows across West Africa? Climatic Change, 169(3–4), 1–27. https://doi.org/10.1007/s10584-021-03256-0

Roudier, P., Ducharne, A., & Feyen, L. (2014). Climate change impacts on runoff in West Africa: A review. Hydrology and Earth System Sciences, 18(7), 2789–2801. https://doi.org/10.5194/hess-18-2789-2014

Roy, T., He, X., Lin, P., Beck, H. E., Castro, C., & Wood, E. F. (2020). Global evaluation of seasonal precipitation and temperature forecasts from NMME. Journal of Hydrometeorology, 21(11), 2473–2486. https://doi.org/10.1175/JHM-D-19-0095.1

Sanogo, N. D. M., Dayamba, S. D., Renaud, F. G., & Feurer, M. (2022). From wooded savannah to farmland and settlement: Population growth, drought, energy needs and cotton price incentives driving changes in Wacoro, Mali. Land, 11(12), 2217. https://doi.org/10.3390/land11122117

Seibert, J., & Van Meerveld, I. (2016). Hydrological change modelling: Challenges and opportunities. Hydrological Processes, 30, 4966–4971. https://doi.org/10.1002/hyp.10999

Setegn, S. G., Srinivasan, R., & Dargahi, B. (2008). Hydrological modelling in the Lake Tana Basin, Ethiopia using SWAT model. Open Hydrology Journal, 2(1), 49–62. [https://doi.org/10.217

Sanogo, N. D. M., Dayamba, S. D., Renaud, F. G., & Feurer, M. (2022). From wooded savannah to farmland and settlement: Population growth, drought, energy needs and cotton price incentives driving changes in Wacoro, Mali. Land, 11(12), 2217. https://doi.org/10.3390/land11122117

Seibert, J., & Van Meerveld, I. (2016). Hydrological change modelling: Challenges and opportunities. Hydrological Processes, 30, 4966–4971. https://doi.org/10.1002/hyp.10999

Setegn, S. G., Srinivasan, R., & Dargahi, B. (2008). Hydrological modelling in the Lake Tana Basin, Ethiopia using SWAT model. Open Hydrology Journal, 2(1), 49–62. https://doi.org/10.2174/1874378100802010049

Shree, S., & Kumar, M. (2023). Assessment of the impact of land use and land cover change on hydrological components of the upper watershed of Subarnarekha River Basin, Jharkhand, India using SWAT model. Water Conservation Science and Engineering, 8, 50. https://doi.org/10.1007/s41101-023-00224-w

Sood, A., Muthuwatta, L., & McCartney, M. (2013). A SWAT evaluation of the effect of climate change on the hydrology of the Volta River Basin. Water International, 38(3), 297–311. https://doi.org/10.1080/02508060.2013.792404

Stephenson, J., Newman, K., & Mayhew, S. (2010). Population dynamics and climate change: What are the links? Journal of Public Health, 32(2), 150–156. https://doi.org/10.1093/pubmed/fdq038

Teutschbein, C., & Seibert, J. (2012). Bias correction of regional climate model simulations for hydrological climate-change impact studies: Review and evaluation of different methods. Journal of Hydrology, 456–457, 12–29. https://doi.org/10.1016/j.jhydrol.2012.05.052

Tripathi, H. G., Woollen, E. S., Carvalho, M., Parr, C. L., & Ryan, C. M. (2021). Agricultural expansion in African savannas: Effects on diversity and composition of trees and mammals. Biodiversity and Conservation, 30(11), 3279–3297. https://doi.org/10.1007/s10531-021-02249-w

Tucker, G. E., & Slingerland, R. (1997). Drainage basin responses to climate change. Water Resources Research, 33(8), 2031–2047. https://doi.org/10.1029/97WR00409

Wohl, E., Dwire, K., Sutfin, N., Polvi, L., & Bazan, R. (2012). Mechanisms of carbon storage in mountainous headwater rivers. Nature Communications, 3(1), 1263. https://doi.org/10.1038/ncomms2274

Winchell, M., Srinivasan, R., Di Luzio, M., & Arnold, J. (2010). ArcSWAT interface for SWAT2009 user’s guide. College Station, TX: Texas A&M University.

Xavier, A. F. (2012). Improving water resources management through integration of community-based actions: The case of Black Volta Basin (Master’s thesis). Kwame Nkrumah University of Science and Technology. Retrieved from http://ir.knust.edu.gh/bitstream/123456789/6552/1/Francis%20Anowie.pdf

Yan, F., et al. (2016). The effects of spatiotemporal changes in land degradation on ecosystem services values in Sanjiang Plain, China. Remote Sensing, 8(11), 917. https://doi.org/10.3390/rs8110917

Yang, D., Yang, Y., & Xia, J. (2021). Hydrological cycle and water resources in a changing world: A review. Geography and Sustainability, 2(2), 115–122. https://doi.org/10.1016/j.geosus.2021.05.003

Yang, Z., Zhang, Q., & Hao, X. (2016). Evapotranspiration trend and its relationship with precipitation over the Loess Plateau during the last three decades. Advances in Meteorology, 2016, 6809749. https://doi.org/10.1155/2016/6809749

Yira, Y., Diekkrüger, B., Steup, G., & Bossa, A. Y. (2016). Impact of climate change on water resources in a tropical West African catchment using an ensemble of climate simulations. Journal of Hydrology, 537, 187–199. https://doi.org/10.1016/j.jhydrol.2016.03.052

Zhang, J., Hu, Q., Wang, S., & Ai, M. (2017). Variation trend analysis of runoff and sediment time series based on the R/S analysis of simulated loess tilled slopes in the Loess Plateau, China. Sustainability, 10(1), 32. https://doi.org/10.3390/su10010032

Zhang, L., Nan, Z., Yu, W., & Ge, Y. (2015). Modeling land-use and land-cover change and hydrological responses under consistent climate change scenarios in the Heihe River Basin, China. Water Resources Management, 29(13), 4701–4717. https://doi.org/10.1007/s11269-015-1085-9

Xu, Y. P., Zhang, X., Ran, Q., & Tian, Y. (2013). Impact of climate change on hydrology of upper reaches of Qiantang River Basin, East China. Journal of Hydrology, 483, 51–60. https://doi.org/10.1016/j.jhydrol.2013.01.004

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Published

2026-08-20

How to Cite

Okafor, G. C., Larbi, I., & Limantol, A. (2026). PROJECTED HYDROLOGICAL CHANGE IN THE DANO CATCHMENT, BURKINA FASO: IMPLICATIONS OF CLIMATE AND LAND-USE SCENARIOS FOR WATER SCARCITY AND DROUGHT RISK. International Journal of Renewable Energy and Environment, 4(2), 617-641. https://doi.org/10.5281/

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