PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

The Application of ITS-2 Model for Flood Hydrograph Simulation in Large-Size Rainforest Watershed, Indonesia

Autorzy
Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Nowadays, the increasing intensity of extreme rainfall and changes in land use have triggered massive floods in various regions of Indonesia. The changes in the characteristics of these two parameters cause an increase in the peak and duration of the flood over time. Peak and duration of flood estimation might be very useful for the national and local government because it is closely related to the effectiveness of prevention and mitigation plan in the future. A hydrograph-based model constitutes one approach to estimating them simultaneously. The objective of this research is to examine the application of ITS-2 – a synthetic unit hydrograph (SUH) model which was developed at Sepuluh Nopember Institute of Technology (ITS) in 2017 – for estimating the peak flood discharge as a basis for planning disaster mitigation programs. This study was carried out by testing the reliability of the ITS-2 Model using the Nash-Sutcliffe Efficiency (NSE) indicator by comparing the measured unit hydrograph and synthetic unit hydrograph derived using the model, optimizing the parameters of the model, and then analyzing the transformation of rainfall-flood discharge in the Gumbasa Watershed, one of the major watersheds in Central Sulawesi Province, Indonesia. This catchment is part of the Palu watershed, which is largely a tropical rainforest conservation area known as the Lore Lindu National Park. The input model is based on the design rainfall with a certain return period using the frequency analysis where the data was obtained from the rainfall stations in the study area. The results of the research showed that the performance of the ITS-2 model was still very good with the NSE above 80%. The difference in the peak discharge of these two unit hydrographs is relatively low, with a deviation below 10%. The optimal values of the ITS-2 Model parameter coefficients consisting of C1, C2, and C3 were achieved at 1.29, 0.33 and 1.88, respectively. The results of the hydrograph analysis based on a 1-year to 100-year return period indicate that peak flood discharge ranges from 100 m3/sec to 550 m3/sec. From a series of analyses and tests that have been conducted in the previous and current research, it can be concluded that the ITS-2 Model can be applied to various watershed sizes, especially in Indonesia.
Rocznik
Strony
112--125
Opis fizyczny
Bibliogr. 50 poz., rys., tab.
Twórcy
  • Department of Civil Engineering, Faculty of Engineering, Universitas Tadulako, Palu-Central Sulawesi, 94117, Indonesia
Bibliografia
  • 1. Indonesian National Board for Disaster Management (BNPB). 2019. https://www.bnpb.go.id/berita. Accessed on 25 January 2019.[in Indonesian]
  • 2. Tunas I.G., Anwar N. 2018. A flood forecasting model based on synthetic unit hydrograph of ITS-2. Proc. 2018 2nd Borneo International Conference on Applied Mathematics and Engineering (BICAME), 2, 42–46.
  • 3. Tunas I.G., Anwar N., Lasminto U. 2018. A synthetic unit hydrograph model based on fractal characteristics of watersheds. International Journal of River Basin Management, Article in press.
  • 4. Ansori M.B., Tunas I.G., Margini N.F. 2017. Analysis of design flood by considering fractal characteristics of watershed (Case study: Way Apu Dam on Buru Island, Maluku Province). Journal of Hidroteknik, 31, 691–697. [in Indonesian]
  • 5. Leemhuis C., Gerold G. 2006. The impact of the warm phase of ENSO (El Nino Southern Oscillation) events on water resource availability of tropical catchments in Central Sulawesi, Indonesia. Advances in Geosciences, 6, 217–220
  • 6. Leemhuis C., Erasmi S., Twele A., Kreilein H., Oltchev A., Gerold G. 2007. Rainforest conversion in Central Sulawesi, Indonesia: recent development and consequences for river discharge and water resources. Erdkunde, 61(3), 284–293.
  • 7. Gerold G., Leemhuis C. 2008. Effects of ENSOevents and rainforest conversion on river discharge in Central Sulawesi (Indonesia) – problems and solutions with coarse spatial parameter distribution for water balance simulation. Proc. International Congress on Environmental Modelling and Software, 183, 553–565.
  • 8. Lore Lindu National Park (TNLL). 2019. https://lorelindu.info. Accessed on 2 January 2019. [in Indonesian]
  • 9. Indonesian Geospatial Information Agency (BIG). 2019. http://tides.big.go.id/DEMNAS/. Accessed on 10 January 2019. [in Indonesian]
  • 10. Google Map. 2019. https://www.google.com/maps/@-1.3197603,120.065525,10209m/data=!3m1!1e. Accessed on 26 January 2019.
  • 11. Uhlenbrook S., Roser S., Tilch Nils. 2004. Hydrological process representation at the meso-scale: the potential of a distributed, conceptual catchment model. Journal of Hydrology, 291, 278–296.
  • 12. Tunas I.G., Maadji R. 2018. The use of GIS and hydrodynamic model for performance evaluation of flood control structure. International Journal on Advanced Science, Engineering and Information Technology, 8(6), 2413–2420.
  • 13. Goni M., Lopez J.J., Gimena F.N. 2019. Geomorphological instantaneous unit hydrograph model with distributed rainfall. Catena, 172, 40–53.
  • 14. Salami A.W., Bilewu S.O., Ibitoye A.B., Ayanshola A.M. 2017. Runoff hydrographs using Snyder and SCS synthetic unit hydrograph methods: A case study of selected rivers in south west Nigeria. Journal of Ecological Engineering, 18(1), 25–34.
  • 15. Permatasari R., Sabar A., Natakusumah D.K. 2017. Determining peak discharge factor using synthetic unit hydrograph modelling (Case study: Upper Komering South Sumatra, Indonesia). International Journal of GEOMATE, 13(36), 1–5.
  • 16. Akter T., Quevauviller P., Eisenreich S.J., Vaes G. 2018. Impacts of climate and land use changes on flood risk management for the Schijn River, Belgium. Environmental Science and Policy, 89, 163–175.
  • 17. Asdak C., Supian S., Subiyanto. 2018. Watershed management strategies for flood mitigation: A case study of Jakarta’s flooding. Weather and Climate Extremes, 21, 117–122.
  • 18. Gao C., He Z., Pan S., Xuan W., Xu, Y.P. 2018. Effects of climate change on peak runoff and flood levels in Qu River Basin, East China. Journal of Hydro-environment Research, Article in press.
  • 19. Safarina A.B. 2012. Modified Nakayasu synthetic unit hydrograph method for meso scale ungauge watersheds. International Journal of Engineering Research and Applications, 2(4), 649–654.
  • 20. Kusumastuti D.I., Jokowinarno D. 2012. Time step issue in unit hydrograph for improving runoff prediction in small catchments. Journal of Water Resource and Protection, 4, 686–693
  • 21. Samu R., Kentel A.S. 2018. An analysis of the flood management and mitigation measures in Zimbabwe for a sustainable future. International Journal of Disaster Risk Reduction, 31, 691–697.
  • 22. Javaheri A., Sebens M.B. 2014. On comparison of peak flow reductions, flood inundation maps, and velocity maps in evaluating effects of restored wetlands on channel flooding. Ecological Engineering, 73, 132–145.
  • 23. Viji R., Prasanna P.R., Ilangovan R. 2015. Modified SCS-CN and Green-Ampt methods in surface runoff modelling for the Kundahpallam watershed, Nilgiris, Western Ghats, India. Proc. International Conference on Water Resources, Coastal and Ocean Engineering, 4, 677–684.
  • 24. Brunda G.S., Nyamathi S. 2015. Derivation and analysis of dimensionless hydrograph and S curve for cumulative watershed area. Proc. International Conference on Water Resources, Coastal and Ocean Engineering, 4, 964–971.
  • 25. Halwatura D., Najim M.M.M. 2013. Application of the HEC-HMS model for runoff simulation in a tropical catchment. Environmental Modelling & Software, 46, 155–162.
  • 26. Reshma T., Venkata R.K., Deva P. 2013. Simulation of event based runoff using HEC-HMS model for an experimental watershed. International Journal of Hydraulic Engineering, 2(2), 28–33.
  • 27. Hassan A.K.M.B., Heather M., Jarrett P., Amine M. 2017. Application of HEC-HMS in a cold region watershed and use of RADARSAT-2 soil moisture in initializing the model. Hydrology, 4(9), 1–19.
  • 28. Romali N.S., Yusop S., Ismail A.Z. 2017. Hydrological modelling using HEC-HMS for flood risk assessment of Segamat Town, Malaysia. Proc. IOP Conf. Series: Materials Science and Engineering, 318, 1–6.
  • 29. Brunner M.I., Seibert J., Favre A.C.. 2018a. Representative sets of design hydrographs for ungauged catchments: A regional approach using probabilistic region memberships. Advances in Water Resources, 112, 235–244.
  • 30. Brunner M.I., Viviroli D., Furrer D., Seibert J., Favre A.C. 2018b. Identification of flood reactivity regions via the functional clustering of hydrographs. Water Resources Research, 54(3), 1852–1867.
  • 31. Thapa G., Wijesekera N.T.S. 2017. Computation and optimization of Snyder’s synthetic unit hydrograph parameters. Journal of Water Resource and Protection, 83–88.
  • 32. Kusumastuti D.I., Jokowinarno D., van Rafi’i, C.H., Yuniarti, F. 2016. Analysis of rainfall characteristics for flood estimation in Way Awi watershed. Civil Engineering Dimension, 18(1), 31–37.
  • 33. Cheng C., Cheng S., Wen J., Lee J. 2013. Time and flow characteristics of component hydrographs related to rainfall-stream flow observations. Journal of Hydrologic Engineering, 18(6), 675–688.
  • 34. Gao J., Holden J., Kirkby M. 2016. The impact of land-cover change on flood peaks in peatland basins. Water Resources Research, 52, 3477–3492.
  • 35. Ghorbani M.A., Kashani M.H., Zeynali S. 2013. Development of synthetic unit hydrograph using probability model. Research in Civil and Environmental Engineering, 1, 54–66.
  • 36. Singh P.K., Mishra S.K., Jain M.K. 2014. A review of the synthetic unit hydrograph: from the empirical UH to advanced geomorphological methods. Hydrological Sciences Journal, 59(2), 239–26.
  • 37. Coleman N.M. 2015. Hydrographs of a Martian flood from the breach of Galilaei Crater. Geomorphology, 236, 90–108.
  • 38. Brunner M.I., Viviroli D., Sikorska A.E., Olivier. 2017. Flood type specific construction of synthetic design hydrographs. Water Resources Research, 53(2), 1390–1406.
  • 39. Tomirotti M., Mignosa P. 2017. A methodology to derive synthetic design hydrographs for river flood management. Journal of Hydrology, 555, 736–743.
  • 40. Liu X., Yang T., Hsu K., Liu C., Sorooshian S. 2017. Evaluating the streamflow simulation capability of PERSIANN-CDR daily rainfall products in two river basins on the Tibetan Plateau. Hydrolology Earth System Science, 21, 169–181.
  • 41. Matteo M.D., Liang R., Maier H.R., Thyer M.A., Simpson A.R., Dandy G.C., Ernst B. 2019. Controlling rainwater storage as a system: An opportunity to reduce urban flood peaks for rare, long duration storms. Environmental Modelling and Software, 111, 34–41.
  • 42. Kha D.D., Nhu N.Y., Anh T.N. 2018. An approach for flow forecasting in ungauged catchments – A Case study for Ho Ho reservoir catchment, Ngan Sau river, Central Vietnam. Journal of Ecological Engineering, 19(3), 74–79.
  • 43. Grimaldi S., Petroselli A., Nardi F. 2012. A parsimonious geomorphological unit hydrograph for rainfall-runoff modelling in small ungauged basins. Hydrological Sciences Journal, 57(1), 73–83.
  • 44. Li J., Chen Y., Wang H., Qin J., Li, Chiao S. 2017. Extending flood forecasting lead time in a large watershed by coupling WRF QPF with a distributed hydrological model. Hydrolology Earth System Science, 21, 1279–1294.
  • 45. Chen Y., Li Y., Wang H., Qin J., Dong L. 2017. Large-watershed flood forecasting with high-resolution distributed hydrological model. Hydrolology Earth System Science, 21, 735–749.
  • 46. Huang K., Chen L., Zhou J., Zhang J., Singh V.P. 2018. Flood hydrograph coincidence analysis for mainstream and its tributaries. Journal of Hydrology, 565, 341–353.
  • 47. Mangan P., Haq M.A., Baral P. 2019. Morphometric analysis of watershed using remote sensing and GIS – a case study of Nanganji River Basin in Tamil Nadu, India. Arabian Journal of Geosciences, 12(202), 1–14.
  • 48. Sabzevari T. 2017. Runoff prediction in ungauged catchments using the gamma dimensionless timearea method. Arabian Journal of Geosciences, 10(131), 1–11.
  • 49. Corral C., Berenguer M., Torres D.S., Poletti P., Silvestro F., Rebora N. 2019. Comparison of two early warning systems for regional flash flood hazard forecasting. Journal of Hydrology, 572, 603–619.
  • 50. Roy A., Thomas R. 2016. A comparative study on the derivation of unit hydrograph for Bharathapuzha River Basin. Procedia Technology, 24, 62–69.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-3701c33f-06c3-4097-b71f-c074891d308c
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.