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Snow runoff modelling in the upper Indus River Basin and its implication to energy water food nexus

Author

Listed:
  • Bilal, Hazrat
  • Siwar, Chamhuri
  • Mokhtar, Mazlin Bin
  • Lahlou, Fatima-Zahra
  • Kanniah, Kasturi Devi
  • Al-Ansari, Tareq

Abstract

Pakistan's hydropower sector depends heavily on glacier and snowmelt water that originates from the Upper Indus Basin (UIB). It is expected that climate change may adversely affect future hydropower generation capacity as a result of fluctuations in the magnitude, seasonality and hydrological extremes of the Indus River flow. This study employed the Degree-Day Snowmelt Runoff Model alongside the Moderate Resolution Imaging Spectroradiometer MODIS and daily ground-based hydro-meteorological data to model the snowmelt runoff response in the UIB. The results indicated a significant increase in the annual and seasonal runoff under both RCP4.5 and RCP8.5 scenarios, suggesting more water availability for hydropower and irrigation. By the end of the century, annual river flow is projected to increase by 28 % to 69 % under the RCP4.5 and RCP8.5 climate scenarios. Consequently, rise in annual river flow is expected to increase the electricity generation capacity of future hydropower projects by 93 % to 167 % under the RCP4.5 and RCP8.5 scenarios, respectively. The construction of robust multipurpose dams may potentially reduce flood risks in downstream areas during peak flows, while also supplying water for hydropower generation and irrigation during low flows. This, in turn, may enhance the resilience of both the hydropower and agriculture sectors in the face of climate change.

Suggested Citation

  • Bilal, Hazrat & Siwar, Chamhuri & Mokhtar, Mazlin Bin & Lahlou, Fatima-Zahra & Kanniah, Kasturi Devi & Al-Ansari, Tareq, 2024. "Snow runoff modelling in the upper Indus River Basin and its implication to energy water food nexus," Ecological Modelling, Elsevier, vol. 498(C).
    • Handle: RePEc:eee:ecomod:v:498:y:2024:i:c:s030438002400259x
    DOI: 10.1016/j.ecolmodel.2024.110871
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    References listed on IDEAS

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    1. Wang, Hejia & Xiao, Weihua & Wang, Yicheng & Zhao, Yong & Lu, Fan & Yang, Mingzhi & Hou, Baodeng & Yang, Heng, 2019. "Assessment of the impact of climate change on hydropower potential in the Nanliujiang River basin of China," Energy, Elsevier, vol. 167(C), pages 950-959.
    2. Kirby, Mac & Ahmad, Mobin-ud-Din & Mainuddin, Mohammed & Khaliq, Tasneem & Cheema, M.J.M., 2017. "Agricultural production, water use and food availability in Pakistan: Historical trends, and projections to 2050," Agricultural Water Management, Elsevier, vol. 179(C), pages 34-46.
    3. Tingju Zhu & Claudia Ringler & M. Mohsin Iqbal & Timothy B. Sulser & M. Arif Goheer, 2013. "Climate change impacts and adaptation options for water and food in Pakistan: scenario analysis using an integrated global water and food projections model," Water International, Taylor & Francis Journals, vol. 38(5), pages 651-669, September.
    4. 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.
    5. Paish, Oliver, 2002. "Small hydro power: technology and current status," Renewable and Sustainable Energy Reviews, Elsevier, vol. 6(6), pages 537-556, December.
    6. Boehlert, Brent & Strzepek, Kenneth M. & Gebretsadik, Yohannes & Swanson, Richard & McCluskey, Alyssa & Neumann, James E. & McFarland, James & Martinich, Jeremy, 2016. "Climate change impacts and greenhouse gas mitigation effects on U.S. hydropower generation," Applied Energy, Elsevier, vol. 183(C), pages 1511-1519.
    7. Wang, Sisi & Yang, Ke & Yuan, Donghai & Yu, Kongjian & Su, Yijing, 2019. "Temporal-spatial changes about the landscape pattern of water system and their relationship with food and energy in a mega city in China," Ecological Modelling, Elsevier, vol. 401(C), pages 75-84.
    8. Shakil Ahmad Romshoo & Asif Marazi, 2022. "Impact of climate change on snow precipitation and streamflow in the Upper Indus Basin ending twenty-first century," Climatic Change, Springer, vol. 170(1), pages 1-20, January.
    9. Richard H. Moss & Jae A. Edmonds & Kathy A. Hibbard & Martin R. Manning & Steven K. Rose & Detlef P. van Vuuren & Timothy R. Carter & Seita Emori & Mikiko Kainuma & Tom Kram & Gerald A. Meehl & John F, 2010. "The next generation of scenarios for climate change research and assessment," Nature, Nature, vol. 463(7282), pages 747-756, February.
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