Rainfall-runoff modelling calibration on the watershed with minimum stream gage network data

  • Authors

    • Evi Anggraheni
    • Dwita Sutjiningsih
    • Jarot Widyoko
    2018-08-24
    https://doi.org/10.14419/ijet.v7i3.29.18538
  • HEC-GEOHMS, Separated by Commas.

  • The hydrological model has an important role to present the accurate and reliable information for water resources management. In this research, combination of HEC-GeoHMS and HEC-HMS that adopt the SCS-CN model have been chosen to analyse the hydrological characteristic at Upper Ciliwung Watershed. Ciliwung Watershed is one of 13 watersheds that has big influence to flood management in Jakarta. Flooding is the natural hazard that occurs every year at Jakarta. One of important part of flood early warning system at Jakarta is Katulampa Weir that located at Upper Ciliwung watershed. The area of it watershed is about 150 km2 that only has one stream gauge station at Katulampa. Accurate representation of rainfall runoff modelling at this location is important in order to predict the discharge and water infrastructure design. The objective of this paper is to obtain the parameter combination of Upper Ciliwung Watershed which can produce the discharge close to the discharge observation using HEC-HMS.  The comparison between HEC-HMS and observation gage at Upper Ciliwung Watershed was calculated by Nash-Sutcliffe Efficiency (NSE) method. Nash value of discharge simulation at Upper Ciliwung Watershed compare with the discharge observation at Katumpa Weir reach up until 0,9. 

     

     

  • References

    1. [1] Djodjic, F., Montas, H., Shirmohammadi, A., Bergström, L., & Ulén, B. (2001). A Decision Support System for Phosphorus Management at a Watershed Scale. Journal of Environmental Quality Vol. 31 No. 3, 937-945.

      [2] Öztürk, M., Copty, N. K., & Saysel, A. K. (2013). Modeling the Impact of Land Use Change on the Hydrology of a Rural Watershed. Journal of Hydrology, 97–109.

      [3] An Anggraheni, E., Sutjiningsih, D., Emmanuel, I., Payrastre, O., & Andrieu, H. (2018). Assessing the role of spatial rainfall variability on watershed response based on weather radar data (A Case study of the Gard Region, France). International Journal of Technology, 37-46.

      [4] Murniningsih, S., & Anggraheni, E. (2016). Identification the Effect of Spatial Land Use Variability Using Gis at the Upstream Ciliwung Watershed. ARPN Journal of Engineering and Applied Sciences, 11.

      [5] Emam, A. R., Mishra, B. K., Kumar, P., Masago, Y., & Fukushi, K. (2016). Impact Assessment of Climate and Land-Use Changes on Flooding Behavior in the Upper Ciliwung River, Jakarta, Indonesia. Water, 8(12).

      [6] Yudha, B. W. (2015). Prediksi Laju Erosi Potensial dan Laju Timbulan Sampah Potensial pada Luasan Penutup Lahan Kedap Air (Studi Kasus DAS Ciliwung) Berbasis Sistem Informasi Geografis (SIG). Depok: Universitas Indonesia.

      [7] Fleming, M. J., & Doan, J. H. (2009). HEC-GeoHMS Geospatial Hydrologic Modeling Extension. Davis, CA: US Army Corps of Engeneering Hydrologic Engineering Center.

      [8] OLEYIBLO, J. O., & LI, Z.-j. (2010). Application of HEC-HMS for flood forecasting in Misai and Wan’an catchments in China. Water Science and Engineering, 3(1), 14-22.

      [9] USDA SCS, U. S. (1985). National Engineering Handbook (Vol. Section 4). Washington, D.C.: Hydrology USDA-SCS.

      [10] Nash, J., & Sutcliffe, J. (1970). River Flow Forecasting through Conceptual Models Part I—A Discussion of Principles. 10.

      [11] Douinot, A., Roux, H., Garambois, P.-A., Larnier, K., Labat, D., & Dartus, D. (2016). Accounting for Rainfall Systematic Spatial Variability in Flash Flood Forecasting. Journal of Hydrology, 541.

  • Downloads

  • How to Cite

    Anggraheni, E., Sutjiningsih, D., & Widyoko, J. (2018). Rainfall-runoff modelling calibration on the watershed with minimum stream gage network data. International Journal of Engineering & Technology, 7(3.29), 121-124. https://doi.org/10.14419/ijet.v7i3.29.18538