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Extreme Rainfall Variations Under Climate Change Scenarios. Case of Study in an Andean Tropical River Basin

Author

Listed:
  • Martín Montenegro

    (Universidad de Cuenca)

  • Daniel Mendoza

    (Universidad de Cuenca)

  • Diego Mora

    (Universidad de Cuenca)

  • Fernando García

    (Universidad de Cuenca
    Universidad de Cuenca)

  • Alex Avilés

    (Universidad de Cuenca
    Universidad de Cuenca)

Abstract

Maximum rainfall events have triggered hazards that harm ecosystems and populations. Climate change could modify these extreme events, becoming more severe and frequent. Knowing the patterns of Spatio-temporal changes in the distribution of extreme rainfall in Andean regions represents a research challenge due to the complex climate behavior in the tropical mountain basins. The study aimed to analyze future Spatio-temporal changes in maximum daily rainfall patterns. The methods and analysis were performed in the Paute river basin in Ecuador through observed and simulated data from 1985 to 2005. The outputs of an ensemble regional climate model of Ecuador (RCM) based on CMIP5 models were used with two representative concentrations pathways (RCP), scenarios 4.5 and 8.5, in two future periods; future 1 from 2011 to 2040 and future 2 from 2041 to 2070. The General Extreme Value (GEV) distribution was used to fit the maximum annual daily rainfall. The maximum rainfall change factor between historical and future periods was calculated for 5,10,30, 60, and 100 years return periods. The results showed an increment of maximum rainfall spatial average in all return periods for RCP 4.5 and 8.5 in the future 1. Future 2 presented an increment of maximum rainfall spatial average in all return periods for RCP 4.5 and 8.5 scenarios except for the 30,60 and 100 years return periods of the RCP 4.5 scenario, displaying a decrease of maximum rainfall spatial average. Knowing rainfall pattern projections could help formulate actions to diminish the risks of extreme rainfall.

Suggested Citation

  • Martín Montenegro & Daniel Mendoza & Diego Mora & Fernando García & Alex Avilés, 2022. "Extreme Rainfall Variations Under Climate Change Scenarios. Case of Study in an Andean Tropical River Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(15), pages 5931-5944, December.
    • Handle: RePEc:spr:waterr:v:36:y:2022:i:15:d:10.1007_s11269-022-03332-9
    DOI: 10.1007/s11269-022-03332-9
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    References listed on IDEAS

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    1. Ronit Singh & D. S. Arya & A. K. Taxak & Z. Vojinovic, 2016. "Potential Impact of Climate Change on Rainfall Intensity-Duration-Frequency Curves in Roorkee, India," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(13), pages 4603-4616, October.
    2. Getachew Tegegne & Assefa M. Melesse, 2020. "Multimodel Ensemble Projection of Hydro-climatic Extremes for Climate Change Impact Assessment on Water Resources," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(9), pages 3019-3035, July.
    3. 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.
    4. Weili Duan & Bin He & Daniel Nover & Jingli Fan & Guishan Yang & Wen Chen & Huifang Meng & Chuanming Liu, 2016. "Floods and associated socioeconomic damages in China over the last century," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 82(1), pages 401-413, May.
    5. Muhammad Saiful Adham Shukor & Zulkifli Yusop & Fadhillah Yusof & Zulfaqar Sa’adi & Nor Eliza Alias, 2020. "Detecting Rainfall Trend and Development of Future Intensity Duration Frequency (IDF) Curve for the State of Kelantan," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(10), pages 3165-3182, August.
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    Cited by:

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