IDEAS home Printed from https://ideas.repec.org/h/ags/iwmibc/273352.html
   My bibliography  Save this book chapter

Understanding the hydrological impacts of climate change in the Tana River Basin

Author

Listed:
  • Sood, Aditya
  • Muthuwatta, Lal
  • Silva, Sandeepana
  • McCartney, Matthew

Abstract

The Tana River is one of Kenya’s most important rivers. It is the principal water source for Nairobi, the capital city, providing water for hydroelectric power generation and irrigation. Several of the flagship projects laid out in Vision 2030 - the blueprint that guides Kenya’s national development – are located in the basin. This report presents the findings of a study to determine the possible impacts of climate change on the hydrology of the basin. Data from seven Regional Circulation Models (RCMs), simulating two Representative Concentration Pathways (RCPs), were used as input to the Soil and Water Assessment Tool (SWAT) hydrological model. For both RCPs, rainfall is projected to increase across the basin over the remainder of the twenty-first century. Associated increases in water yield, groundwater recharge and baseflow point to an improved water resource situation in the future. However, declining natural flow regulation, increased variability, and considerable increases in the frequency and magnitude of floods pose a risk that threatens to undermine development opportunities. Water resource management will be much more difficult than under historic climatic conditions.

Suggested Citation

  • Sood, Aditya & Muthuwatta, Lal & Silva, Sandeepana & McCartney, Matthew, 2017. "Understanding the hydrological impacts of climate change in the Tana River Basin," Book Chapters,, International Water Management Institute.
    • Handle: RePEc:ags:iwmibc:273352
    DOI: 10.22004/ag.econ.273352
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/273352/files/H048449.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.273352?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Detlef Vuuren & Jae Edmonds & Mikiko Kainuma & Keywan Riahi & Allison Thomson & Kathy Hibbard & George Hurtt & Tom Kram & Volker Krey & Jean-Francois Lamarque & Toshihiko Masui & Malte Meinshausen & N, 2011. "The representative concentration pathways: an overview," Climatic Change, Springer, vol. 109(1), pages 5-31, November.
    2. Aditya Sood & Lal Muthuwatta & Matthew McCartney, 2013. "A SWAT evaluation of the effect of climate change on the hydrology of the Volta River basin," Water International, Taylor & Francis Journals, vol. 38(3), pages 297-311, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Foudi, Sébastien & McCartney, Matthew & Markandya, Anil & Pascual, Unai, 2023. "The impact of multipurpose dams on the values of nature's contributions to people under a water-energy-food nexus framing," Ecological Economics, Elsevier, vol. 206(C).
    2. Hurford, A.P. & McCartney, M.P. & Harou, J.J. & Dalton, J. & Smith, D.M. & Odada, E., 2020. "Balancing services from built and natural assets via river basin trade-off analysis," Ecosystem Services, Elsevier, vol. 45(C).
    3. Muthuwatta, Lal & Sood, A. & McCartney, Matthew & Silva, N. S. & Opere, A., 2018. "Understanding the impacts of climate change in the Tana River Basin, Kenya," Papers published in Journals (Open Access), International Water Management Institute, pages 379:37-3794.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cheick Oumar Zouré & Arsène Kiema & Roland Yonaba & Bernard Minoungou, 2023. "Unravelling the Impacts of Climate Variability on Surface Runoff in the Mouhoun River Catchment (West Africa)," Land, MDPI, vol. 12(11), pages 1-22, November.
    2. Gupta, Rishabh & Mishra, Ashok, 2019. "Climate change induced impact and uncertainty of rice yield of agro-ecological zones of India," Agricultural Systems, Elsevier, vol. 173(C), pages 1-11.
    3. Voisin, Nathalie & Dyreson, Ana & Fu, Tao & O'Connell, Matt & Turner, Sean W.D. & Zhou, Tian & Macknick, Jordan, 2020. "Impact of climate change on water availability and its propagation through the Western U.S. power grid," Applied Energy, Elsevier, vol. 276(C).
    4. Cristina Cattaneo & Emanuele Massetti, 2019. "Does Harmful Climate Increase Or Decrease Migration? Evidence From Rural Households In Nigeria," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 10(04), pages 1-36, November.
    5. Pascalle Smith & Georg Heinrich & Martin Suklitsch & Andreas Gobiet & Markus Stoffel & Jürg Fuhrer, 2014. "Station-scale bias correction and uncertainty analysis for the estimation of irrigation water requirements in the Swiss Rhone catchment under climate change," Climatic Change, Springer, vol. 127(3), pages 521-534, December.
    6. T.M.L. Wigley, 2018. "The Paris warming targets: emissions requirements and sea level consequences," Climatic Change, Springer, vol. 147(1), pages 31-45, March.
    7. Gong, Ziqian & Baker, Justin S. & Wade, Christopher M. & Havlík, Petr, 2024. "Irrigation intensification in U.S. agriculture under climate change – an adaptation mechanism or trade-induced response?," 2024 Annual Meeting, July 28-30, New Orleans, LA 343581, Agricultural and Applied Economics Association.
    8. Kalkuhl, Matthias & Wenz, Leonie, 2020. "The impact of climate conditions on economic production. Evidence from a global panel of regions," Journal of Environmental Economics and Management, Elsevier, vol. 103(C).
    9. Islam, AFM Tariqul & Islam, AKM Saiful & Islam, GM Tarekul & Bala, Sujit Kumar & Salehin, Mashfiqus & Choudhury, Apurba Kanti & Dey, Nepal C. & Hossain, Akbar, 2022. "Adaptation strategies to increase water productivity of wheat under changing climate," Agricultural Water Management, Elsevier, vol. 264(C).
    10. Jaewon Kwak & Huiseong Noh & Soojun Kim & Vijay P. Singh & Seung Jin Hong & Duckgil Kim & Keonhaeng Lee & Narae Kang & Hung Soo Kim, 2014. "Future Climate Data from RCP 4.5 and Occurrence of Malaria in Korea," IJERPH, MDPI, vol. 11(10), pages 1-19, October.
    11. Hwang, In Chang, 2013. "Stochastic Kaya model and its applications," MPRA Paper 55099, University Library of Munich, Germany.
    12. Roson, Roberto & Damania, Richard, 2016. "Simulating the Macroeconomic Impact of Future Water Scarcity an Assessment of Alternative Scenarios," Conference papers 332687, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    13. Le Bars, Dewi, 2018. "Uncertainty in sea level rise projections due to the dependence between contributors," Earth Arxiv uvw3s, Center for Open Science.
    14. Marcinkowski, Paweł & Piniewski, Mikołaj, 2024. "Future changes in crop yield over Poland driven by climate change, increasing atmospheric CO2 and nitrogen stress," Agricultural Systems, Elsevier, vol. 213(C).
    15. Taylor, Chris & Cullen, Brendan & D'Occhio, Michael & Rickards, Lauren & Eckard, Richard, 2018. "Trends in wheat yields under representative climate futures: Implications for climate adaptation," Agricultural Systems, Elsevier, vol. 164(C), pages 1-10.
    16. Henzler, Julia & Weise, Hanna & Enright, Neal J. & Zander, Susanne & Tietjen, Britta, 2018. "A squeeze in the suitable fire interval: Simulating the persistence of fire-killed plants in a Mediterranean-type ecosystem under drier conditions," Ecological Modelling, Elsevier, vol. 389(C), pages 41-49.
    17. Abhiru Aryal & Albira Acharya & Ajay Kalra, 2022. "Assessing the Implication of Climate Change to Forecast Future Flood Using CMIP6 Climate Projections and HEC-RAS Modeling," Forecasting, MDPI, vol. 4(3), pages 1-22, June.
    18. Hemen Mark Butu & Yongwon Seo & Jeung Soo Huh, 2020. "Determining Extremes for Future Precipitation in South Korea Based on RCP Scenarios Using Non-Parametric SPI," Sustainability, MDPI, vol. 12(3), pages 1-26, January.
    19. Milan Ščasný & Emanuele Massetti & Jan Melichar & Samuel Carrara, 2015. "Quantifying the Ancillary Benefits of the Representative Concentration Pathways on Air Quality in Europe," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(2), pages 383-415, October.
    20. Habtemariam, Lemlem Teklegiorgis & Abate Kassa, Getachew & Gandorfer, Markus, 2017. "Impact of climate change on farms in smallholder farming systems: Yield impacts, economic implications and distributional effects," Agricultural Systems, Elsevier, vol. 152(C), pages 58-66.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:iwmibc:273352. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/iwmiclk.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.