One Dimensional Shallow Water Equation Streamflow Modeling using WASH123D Model

 
 
 
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  • Keywords
  • References
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  • Abstract


    Reservoir inflow forecasting assists dam operator in reservoir operation by providing advance information on lake level. This paper discusses on the application of the physical-based numerical model to simulate one-dimensional channel network using WASH123D Model. The model was developed to simulate streamflow at two locations namely Sg Kejar and Sg Tiang, located in the Temengor catchment. The WASH123D model performed channel routing using shallow water equation. The model input data includes rainfall from 5 rainfall stations, river cross sections and simulated runoff data using SCS Method. Due to unavailable observed data, results comparisons were performed using streamflow results obtained using InfoWorks RS Platform. The peak flow from simulation results at Sg Kejar & Sg Tiang Station is 152.6m3/s and 36.6m3/s. The analysis shows good agreement for both simulations with Nash-Sutcliffe Efficiency of 0.68 for Sg Kejar and 0.99 for Sg Tiang. It is suggested that model recalibration shall be made once there is enough water level data to enable more accurate representation of spatial heterogeneity in the catchment processes.

     

     

     

  • Keywords


    hydrological model, inflow forecasting, physical-based model, shallow water equation, WASH123D

  • References


      [1] K. H. Kok, L. M. Sidek, M. F. Chow, M. R. Zainal Abidin, H. Basri, and G. Hayder, “Evaluation of green roof performances for urban stormwater quantity and quality controls,” Int. J. River Basin Manag., vol. 14, no. 1, (2016).

      [2] M. F. Chow, M. F. Abu Bakar, L. M. Sidek, and H. Basri, “Effects of substrate types on runoff retention performance within the extensive green roofs,” J. Eng. Appl. Sci., vol. 12, no. 21, (2017).

      [3] M. S. Lariyah et al., “Application of Moving Bed Biofilm Reactor (MBBR) and Integrated Fixed Activated Sludge (IFAS) for Biological River Water Purification System: A Short Review,” in IOP Conference Series: Earth and Environmental Science, (2016), vol. 32, no. 1.

      [4] M. Jajarmizadeh, L. M. Sidek, M. Mirzai, S. Alaghmand, S. Harun, and M. R. Majid, “Prediction of Surface Flow by Forcing of Climate Forecast System Reanalysis Data,” Water Resour. Manag., vol. 30, no. 8, (2016), pp. 2627–2640.

      [5] I. A. R. Al-Ani, L.M. Sidek, M.N. Mohamed Desa, and N.E. Ahmad Basri, “Knowledge-based expert system for stormwater manage-ment in Malaysia,” J. Environ. Sci. Technol., (2012), no. 5(5), pp. 381–388.

      [6] I. Hafiz, N. D. M. Nor, L. M. Sidek, H. Basri, M. N. Hanapi, and L. Livia, “Application of Integrated Flood Analysis System (IFAS) for Dungun River Basin,” IOP Conf. Ser. Earth Environ. Sci., vol. 16, (2013).

      [7] V. A. Bell, E. M. Blyth, R. J. Moore, and C. E. H. Wallingford, “The use of soil moisture in hydrological forecasting”, (2000), available online: https://www.ecmwf.int/sites/default/files/elibrary/2005/8050-use-soil-moisture-hydrological-forecasting.pdf.

      [8] W. H. Azad, L. M. Sidek, H. Basri, C. M. Fai, S. Saidin, and A. J. Hassan, “2 Dimensional Hydrodynamic Flood Routing Analysis on Flood Forecasting Modelling for Kelantan River Basin”, MATEC Web of Conferences, vol. 87. (2016)

      [9] T. Vansteenkiste et al., “Intercomparison of five lumped and distributed models for catchment runoff and extreme flow simulation,” J. Hydrol., vol. 511, (2014), pp. 335–349.

      [10] M. I. Najid, L. M. Sidek, B. Hidayah, and Z. A. Roseli, “Hydrological Analysis for Inflow Forecasting into Temengor Dam”, IOP Conference Series: Earth and Environmental Science, vol. 32, no. 1. (2016).

      [11] N. Florida, F. Dot, and T. View, “Modeling Brackish Aquifer Storage Recovery With The WASH123D Numerical Model", (2006).

      [12] G. T. Yeh, D. S. Shih, and J. R. C. Cheng, “An integrated media, integrated processes watershed model,” Comput. Fluids, vol. 45, no. 1, (2011), pp. 2–13.

      [13] S. Paladagu, “Three Dimensional Modeling Of Wekiva Springshed With WASH123D,” Electronic Theses and Dissertations, (2005), available online: http://stars.library.ucf.edu/etd/481,

      [14] D. S. Shih, T. W. Hsu, K. C. Chang, and H. L. Juan, “Implementing coastal inundation data with an integrated wind wave model and hydrological watershed simulations,” Terr. Atmos. Ocean. Sci., vol. 23, no. 5, (2012) pp. 513–525

      [15] L. Yu, L. Hock, C. Chua, and D. Shih, “An Ensemble Approach For Typhoon Runoff Simulation With Perturbed Rainfall Forecasts In Taiwan”, Proceedings of the 11th International Conference on Hydroinformatics HIC 2014, (2014).

      [16] S.C. Yang et al., “Development of a hydrological ensemble prediction system and a visualization approach for improved interpretation during typhoon events,” Hydrol. Earth Syst. Sci. Discuss.,(2017) availble online: https://doi.org/10.5194/hess-2017-264.

      [17] H. Kao and H. Hsu, “Coupled 1-D sewer and street networks and 2-D flooding model to rapidly evaluate surface inundation,” vol. 19, (2017), pp. 5929.

      [18] D.-S. Shih, J.-M. Liau, and G.-T. Yeh, “Model Assessments of Precipitation with a Unified Regional Circulation Rainfall and Hydrological Watershed Model,” J. Hydrol. Eng., vol. 17, no. 1, (2012) pp. 43–54.

      [19] S. K. Jain et al., “A Brief review of flood forecasting techniques and their applications,” International Journal of River Basin Management, (2018), pp. 1–16,

      [20] S. S. Sammen, T. A. Mohamed, A. H. Ghazali, L. M. Sidek, and A. El-Shafie, “An evaluation of existent methods for estimation of embankment dam breach parameters,” Nat. Hazards, vol. 87, no. 1, (2017), pp. 545–566.

      [21] D. S. Shih and G. T. Yeh, “Using a characteristic-based particle tracking method to solve one-dimensional fully dynamic wave flow,” Comput. Geosci., vol. 22, no. 2, (2018), pp. 439–449.

      [22] F. Ahmed, “Numerical modeling of the Rideau Valley Watershed,” Nat. Hazards, vol. 55, no. 1, (2010), pp. 63–84.

      [23] M. Gonzaga et al., “Sensitivity Analysis and Calibration of Hydrological Modeling of the Watershed Northeast Brazil,” J. Environ. Prot. (Irvine,. Calif)., vol. 6, no. 6, (2015) pp. 837–850.

      [24] D.-S. Shih, R.-S. Wu, and C.-Y. Tsai, “Assessing Hydrological Impacts of a Watershed in the Context of Climate and Land Cover Changes” Preprints (2017), 2017010061

      [25] T. H. Yang, Y. C. Chen, Y. C. Chang, S. C. Yang, and J. Y. Ho, “Comparison of different grid cell ordering approaches in a simplified inundation model,” Water (Switzerland), vol. 7, no. 2, (2015), pp. 438–454.


 

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Article ID: 26274
 
DOI: 10.14419/ijet.v7i4.35.26274




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