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Comparing the Effects of Different Daily and Sub-Daily Downscaling Approaches on the Response of Urban Stormwater Collection Systems

Author

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  • Shadi Arfa

    (University of Tehran)

  • Mohsen Nasseri

    (University of Tehran)

  • Hassan Tavakol-Davani

    (San Diego State University)

Abstract

Change in the spatiotemporal pattern of precipitation is one the most important effects of climate change. This may result in considerable changes in urban flooding and yield a variation in the rate and volume of stormwater, resulting in the failure of stormwater collection systems. In the current paper, the effects of different downscaling methods on a built urban network have been assessed and compared. The case study is a 320-ha urban watershed with a built stormwater collection system located in the City of Tehran, Iran. Two single (SDSM and DMDM) and two multisite downscaling techniques with a daily temporal resolution have been employed and two sub daily (based of GEV distribution and MOF) methods have been used to further disaggregate the downscaled data. To evaluate the climate change impacts, three climate change scenarios, i.e. RCP 2.6, RCP 4.5 and RCP 8.5, have been used. Based on our findings, DMDM appears to outperform the other techniques in terms of our statistical similarity and dissimilarity metrics for daily downscaling. In addition, the sub-daily disaggregation method via GEV distribution delivers better results in comparison to the MOF. After simulating the stormwater collection system based on the downscaling results, we found that the number of flooded channels and junctions using RCP 8.5 results is significantly higher than RCP 4.5 and RCP 2.6 scenarios, indicating the relatively high risk of urban flooding under RCP 8.5 scenario.

Suggested Citation

  • Shadi Arfa & Mohsen Nasseri & Hassan Tavakol-Davani, 2021. "Comparing the Effects of Different Daily and Sub-Daily Downscaling Approaches on the Response of Urban Stormwater Collection Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(2), pages 505-533, January.
    • Handle: RePEc:spr:waterr:v:35:y:2021:i:2:d:10.1007_s11269-020-02728-9
    DOI: 10.1007/s11269-020-02728-9
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    References listed on IDEAS

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    1. D. Jeong & A. St-Hilaire & T. Ouarda & P. Gachon, 2012. "Multisite statistical downscaling model for daily precipitation combined by multivariate multiple linear regression and stochastic weather generator," Climatic Change, Springer, vol. 114(3), pages 567-591, October.
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    7. 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.
    8. Huan-Feng Duan & Xichao Gao, 2019. "Flooding Control and Hydro-Energy Assessment for Urban Stormwater Drainage Systems under Climate Change: Framework Development and Case Study," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(10), pages 3523-3545, August.
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    Cited by:

    1. Omid Seyedashraf & Andrea Bottacin-Busolin & Julien J. Harou, 2021. "Many-Objective Optimization of Sustainable Drainage Systems in Urban Areas with Different Surface Slopes," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(8), pages 2449-2464, June.
    2. Reyhaneh Rahimi & Hassan Tavakol-Davani & Mohsen Nasseri, 2021. "An Uncertainty-Based Regional Comparative Analysis on the Performance of Different Bias Correction Methods in Statistical Downscaling of Precipitation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(8), pages 2503-2518, June.
    3. Fahad Alzahrani & Ousmane Seidou & Abdullah Alodah, 2022. "Assessment and Improvement of IDF Generation Algorithms Used in the IDF_CC Tool," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(12), pages 4591-4606, September.

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