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Predicting Peak Flows in Real Time through Event Based Hydrologic Modeling for a Trans-Boundary River Catchment

Author

Listed:
  • Muhammad Adnan Shahid

    (ITHACA (Information Technology for Humanitarian Assistance, Cooperation and Action) Research Center, Politecnico di Torino
    University of Agriculture)

  • Piero Boccardo

    (ITHACA (Information Technology for Humanitarian Assistance, Cooperation and Action) Research Center, Politecnico di Torino)

  • Muhammad Usman

    (Institute for Groundwater Management TU Dresden
    University of Agriculture)

  • Adriana Albanese

    (ITHACA (Information Technology for Humanitarian Assistance, Cooperation and Action) Research Center, Politecnico di Torino)

  • Muhammad Uzair Qamar

    (University of Agriculture)

Abstract

Investigating the hydrological response of an area to adverse climate changes and extreme rainfall events is crucial for managing land and water resources and mitigating the natural hazards like floods. Limited availability of the in situ data, especially in case of Transboundary Rivers, further highlights the need to develop and evaluate decision support systems which may predict the flows in real time using open source rainfall data. This paper presents the study conducted in Chenab River catchment, Pakistan, to develop and evaluate a hydrologic model using HEC-HMS for predicting flows based on TRMM rainfall data. The catchment was analyzed for hydro-morphological properties using SRTM DEM in HEC-GeoHMS. To rely on open source data as much as possible, digital soil map of the world developed by FAO and global land cover map developed by European Space Agency were utilized to compute Curve Number grid data for the catchment. These preliminary data analyses were employed to set initial values of different parameters to be used for model calibration. The model was calibrated for five rainfall events occurred in the rainy seasons of 2006, 2010 and 2013. The calibrated model was then validated for four other rainfall events of similar type in the same years. Consistency in simulated and observed flows was found with percent difference in volume ranging from −6.17 % to 5.47 % and percent difference in peak flows to be in the range of 6.96 % to 7.28 %. Values of Nash-Sutcliffe Efficiency were ranging from 0.299 to 0.909 with an average value of 0.586 for all flow events. The model was found well capable of capturing the hydrologic response of the catchment due to rainfall events and can be helpful in providing alerts of peak flows in real time based on real time/forecasted rainfall data.

Suggested Citation

  • Muhammad Adnan Shahid & Piero Boccardo & Muhammad Usman & Adriana Albanese & Muhammad Uzair Qamar, 2017. "Predicting Peak Flows in Real Time through Event Based Hydrologic Modeling for a Trans-Boundary River Catchment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(3), pages 793-810, February.
    • Handle: RePEc:spr:waterr:v:31:y:2017:i:3:d:10.1007_s11269-016-1435-2
    DOI: 10.1007/s11269-016-1435-2
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    References listed on IDEAS

    as
    1. Daniel Che & Larry Mays, 2015. "Development of an Optimization/Simulation Model for Real-Time Flood-Control Operation of River-Reservoirs Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(11), pages 3987-4005, September.
    2. Muhammad Azmat & Francesco Laio & Davide Poggi, 2015. "Estimation of Water Resources Availability and Mini-Hydro Productivity in High-Altitude Scarcely-Gauged Watershed," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(14), pages 5037-5054, November.
    3. Fares Laouacheria & Rachid Mansouri, 2015. "Comparison of WBNM and HEC-HMS for Runoff Hydrograph Prediction in a Small Urban Catchment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(8), pages 2485-2501, June.
    4. Muhammad Qamar & Daniele Ganora & Pierluigi Claps, 2015. "Monthly Runoff Regime Regionalization Through Dissimilarity-Based Methods," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(13), pages 4735-4751, October.
    5. Eyad Abushandi & Broder Merkel, 2013. "Modelling Rainfall Runoff Relations Using HEC-HMS and IHACRES for a Single Rain Event in an Arid Region of Jordan," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(7), pages 2391-2409, May.
    6. Alireza B. Dariane & M. M. Javadianzadeh & L. Douglas James, 2016. "Developing an Efficient Auto-Calibration Algorithm for HEC-HMS Program," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(6), pages 1923-1937, April.
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    Cited by:

    1. Syeda Nadia Kiran & Muhammad Farooq Iqbal & Irfan Mahmood, 2023. "Assessing the impacts of climate change on flooding under Coupled Model Intercomparison Project Phase 6 scenarios in the river Chenab, Pakistan," 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. 117(1), pages 1005-1033, May.

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