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Integrated hydrologic and hydraulic flood modelling for a scarcely gauged inter-montane basin: a case study of Jhelum Basin in Kashmir Valley

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Abstract

The present study was undertaken to simulate floods in the complex terrain of inter-montane Jhelum Basin in Kashmir Valley using an integrated hydrological and hydrodynamic modelling approach. A conceptual hydrological model MIKE 11 NAM was calibrated and validated for rainfall-runoff simulations. MIKE 11-HD was used for the simulation of the unsteady flow of river Jhelum and its tributaries. MIKE 11 NAM model was calibrated using daily precipitation, evaporation, temperature and discharge data from 1985 to 2005. The model was then validated by calculating the daily discharge values for the next nine years. Model performance was judged based on the coefficient of determination (R2) and Nash–Sutcliffe Efficiency (NSE). The results exhibited that the integrated model can simulate the rainfall-runoff processes in the basin and route the discharge through the main river channel and its tributaries (Calibration: R2 = 0.78, NSE = 0.76 and Validation: R2 = 0.81, NSE = 0.80) at daily time-scales. The model also performed suitably well in simulating peak and low flows at a daily time scale. Sensitivity analysis showed that the Coefficient of Overland flow (CQOF) was the most sensitive parameter affecting model efficiency and peak and low flows. The developed model can be used to design hydraulic structures, prepare floodplain inundation maps, and develop a flood forecasting system.

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References

  1. Yi L, Zhang W and Wang K 2018 Evaluation of heavy precipitation simulated by the WRF model using 4D-Var data assimilation with TRMM 3B42 and GPM IMERG over the Huaihe River basin China. Remote Sens. 10: 1–25. https://doi.org/10.3390/rs10040646

    Article  Google Scholar 

  2. Baig M A A, Mallikarjuna P and Krishna Reddy T V 2008 Rainfall—runoff modelling—a case study. ISH J. Hydraul. Eng. 14: 18–35. https://doi.org/10.1080/09715010.2008.10514902

    Article  Google Scholar 

  3. Khan M, Mujtaba B, Masood R and Ali T 2014 Rainfall-runoff modeling of a part-catchment area of river Dhünn based on physiographic and land use characteristics using MIKE BASIN. Sci. Int. 26: 2379–2384

    Google Scholar 

  4. Ansari M I, Thakural L N and Anbu Kumar S 2020 Streamflow modelling for a Peninsular Basin in India. In: Lect. Notes Civ. Eng. Springer, Singapore, pp. 645–659. https://doi.org/10.1007/978-981-15-2545-2_53

  5. Loliyana V D and Patel P L 2015 Lumped conceptual hydrological model for Purna river basin, India. Sadhana 40: 2411–2428

    Article  Google Scholar 

  6. Singh A, Singh S, Nema A K, Singh G and Gangwar A 2014 Rainfall-runoff modeling using MIKE 11 NAM model for Vinayakpur intercepted catchment, Chhattisgarh. Indian J. Dryl Agric. Res. Dev. 29: 1–04. https://doi.org/10.5958/2231-6701.2014.01206.8

    Article  Google Scholar 

  7. Doulgeris C, Georgiou P, Papadimos D and Papamichail D 2011 Evaluating three different model setups in the MIKE 11 NAM model. In: Adv. Res. Aquat. Environ. Springer, Berlin, Heidelberg, pp. 241–249. https://doi.org/10.1007/978-3-642-19902-8_28

  8. Rahman M M, Goel N K and Arya D S 2012 Development of the Jamuneswari flood forecasting system: Case study in Bangladesh. J. Hydrol. Eng. 17: 1123–1140. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000565

    Article  Google Scholar 

  9. Alaghmand S, Abdullah R, Abustan I, Said M A M and Vosoogh B 2012 Gis-based river basin flood modelling using HEC-HMS and MIKE11 - Kayu Ara river basin, Malaysia. J. Environ. Hydrol. 20: 1–16

    Google Scholar 

  10. Kadam P and Sen D 2012 Flood inundation simulation in ajoy river using mike-flood. ISH J. Hydraul. Eng. 18: 129–141. https://doi.org/10.1080/09715010.2012.695449

    Article  Google Scholar 

  11. Chaponnière A, Maisongrande P, Duchemin B, Hanich L, Boulet G, Escadafal R and Elouaddat S 2005 A combined high and low spatial resolution approach for mapping snow covered areas in the Atlas mountains. Int. J. Remote Sens. 26: 2755–2777. https://doi.org/10.1080/01431160500117758

    Article  Google Scholar 

  12. Alam A, Bhat M S, Farooq H, Ahmad B, Ahmad S and Sheikh A H 2018 Flood risk assessment of Srinagar city in Jammu and Kashmir, India. Int. J. Disaster Resil. Built Environ. 9: 114–129. https://doi.org/10.1108/IJDRBE-02-2017-0012

    Article  Google Scholar 

  13. Farr T G, Rosen P A, Caro E, Crippen R, Duren R, Hensley S, Kobrick M, Paller M, Rodriguez E, Roth L, Seal D, Shaffer S, Shimada J, Umland J, Werner M, Oskin M, Burbank D and Alsdorf D 2007 The Shuttle Radar Topography Mission. Rev. Geophys. 45: 2004. https://doi.org/10.1029/2005RG000183

    Article  Google Scholar 

  14. Sanders B F 2007 Evaluation of on-line DEMs for flood inundation modeling. Adv. Water Resour. 30: 1831–1843. https://doi.org/10.1016/J.ADVWATRES.2007.02.005

    Article  Google Scholar 

  15. Patro S, Chatterjee C, Singh R and Raghuwanshi N S 2009 Hydrodynamic modelling of a large flood-prone river system in India with limited data. Hydrol. Process. J23: 2774–2791

    Article  Google Scholar 

  16. Azizian A and Brocca L 2019 Determining the best remotely sensed DEM for flood inundation mapping in data sparse regions. Int. J. Remote Sens. 41: 1884–1906. https://doi.org/10.1080/01431161.2019.1677968

    Article  Google Scholar 

  17. Farooq M, Shafique M and Khattak M S 2019 2019 Flood hazard assessment and mapping of River Swat using HEC-RAS 2D model and high-resolution 12-m TanDEM-X DEM (WorldDEM). Nat. Hazards 972(97): 477–492. https://doi.org/10.1007/S11069-019-03638-9

    Article  Google Scholar 

  18. DHI 2017 MIKE 11: A Modeling System for Rivers and Channels, Reference Manual. Danish Hydraulic Institute, Denmark

    Google Scholar 

  19. Kamel A H 2008 Application of a hydrodynamic MIKE 11 model for the Euphrates River in Iraq. Slovak J. Civ. Eng. 2: 1–7

    Google Scholar 

  20. Bessar M A, Matte P and Anctil F 2020 Uncertainty analysis of a 1D river hydraulic model with adaptive calibration. Water 12: 561. https://doi.org/10.3390/W12020561

    Article  Google Scholar 

  21. Pinos J, Timbe L and Timbe E 2019 Evaluation of 1D hydraulic models for the simulation of mountain fluvial floods: a case study of the Santa Bárbara River in Ecuador. Water Pract. Technol. 14: 341–354. https://doi.org/10.2166/WPT.2019.018

    Article  Google Scholar 

  22. Vojtek M and Vojteková J 2016 Flood hazard and flood risk assessment at the local spatial scale: a case study. Geomatics Nat. Hazards Risk 7: 1973–1992. https://doi.org/10.1080/19475705.2016.1166874

    Article  Google Scholar 

  23. Madsen H 2000 Automatic calibration of a conceptual rainfall-runoff model using multiple objectives. J. Hydrol. 235: 276–288. https://doi.org/10.1016/S0022-1694(00)00279-1

    Article  Google Scholar 

  24. Keskin F, Şensoy A A, Şorman A and Şorman Ü A 2007 Application of Mike11 model for the simulation of snowmelt runoff in Yuvacik dam basin, Turkey. In: Int. Congr. River Basin Manag. Role Gen. Dir. State Hydraul. Work Dev. Water Resour. Turkey DSI

  25. Doulgeris C, Georgiou P, Papadimos D and Papamichail D 2012 Ecosystem approach to water resources management using the MIKE 11 modeling system in the Strymonas River and Lake Kerkini. J. Environ. Manag. 94: 132–143. https://doi.org/10.1016/j.jenvman.2011.06.023

    Article  Google Scholar 

  26. Makungo R, Odiyo J O, Ndiritu J G and Mwaka B 2010 Rainfall-runoff modelling approach for ungauged catchments: a case study of Nzhelele River sub-quaternary catchment. Phys. Chem. Earth 35: 596–607. https://doi.org/10.1016/j.pce.2010.08.001

    Article  Google Scholar 

  27. Hafezparast M, Araghinejad S, Ehsan Fatemi S and Bressers H 2013 Conceptual rainfall-runoff model using the auto calibrated NAM models in the Sarisoo River. Hydrol. Curr. Res. 4: 1–6. https://doi.org/10.4172/2157-7587.1000148

    Article  Google Scholar 

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Acknowledgements

Authors wish to thank anonymous reviewers for their valuable comments that substantially improved quality of this manuscript. Authors are thankful to Indian Institute of Technology Roorkee, India for providing the necessary resources to conduct this research. Authors also express sincere thanks to Irrigation and Flood Control Department (IFC), Srinagar for providing necessary data to conduct this study.

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Correspondence to Sabah Parvaze.

Appendix

Appendix

The performance of the model is evaluated using various statistical performance indicators, which provide a wider assessment of the developed model. Performance indices used in this study are described in table

Table 7 Statistical performance indices used in this study.

7.

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Parvaze, S., Jain, M.K. & Allaie, S.P. Integrated hydrologic and hydraulic flood modelling for a scarcely gauged inter-montane basin: a case study of Jhelum Basin in Kashmir Valley. Sādhanā 48, 15 (2023). https://doi.org/10.1007/s12046-022-02072-1

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