Sensitivity Analysis of Rainfall-Runoff Model in Malino Sub-Watershed

A Arlimasita, U Lasminto

Abstract


Overtime, science has been developing and trying to use modelling system in the management of hydrology. In this paper, we present a sensitivity analysis for the HEC-HMS rainfall-runoff model. Sensitivity analysis is used to determine the parameter which most influences the result of the model. The main objective of this research is to investigate the sensitivity of parameter in model and to analyze the influence of the graph types used for unit hydrograph. In addition, we also compare the result of lumped and semi-distributed models based on stream order to analyse a common watershed issue. This study will make a model of rainfall-runoff using a sub-catchment distribution method based on stream order. ArcGIS and HEC-HMS were used as softwares to process data. The data needed in this study come from secondary data sourced from various sources. The data that will be processed first is DEM (Digital Elevation Model). DEM used in this study was sourced from the Geospatial Information Agency or commonly referred to as DEMNAS (The National DEM). ArcGIS will process geospatial data in the form of DEM which data results can be used directly to make model in HEC-HMS. Then, the results of the rainfall-runoff model will be calibrated using observed unit hydrograph.  From the result of sensitivity analysis, it was concluded that impervious is the most sensitive parameter. Moreover, this paper also can be used as guidelines for use in rainfall-runoff modelling on HEC-HMS.

Keywords


sensitivity; modelling; rainfall-runoff; stream order; HEC-HMS.

Full Text:

PDF

References


B. Harsoyo, Review Modeling Hidrologi Das Di Indonesia, J. Sains Teknol. Modif. Cuaca, vol.11, p.41, 2010.

N A. Affandy and Anwar N, Pemodelan Hujan-Debit Menggunakan Model HEC-HMS di Das, Sampean Baru, Seminar Nasional Penanganan Kegagalan Pembangunan dan Pemeliharaan Infrastruktur, Surabaya: Teknik Sipil ITS, pp 51–60, 2011.

K. Beven, Rainfall-Runoff Modelling (England: John Wiley & Sons, Ltd). 2012.

A. Asadi and F. Boustani, Performance Evaluation of the HEC-HMS Hydrologic Model for Lumped and Semi-distributed Stormflow Simulation (Study Area : Delibajak Basin) Am. J. Eng. Res. vol. 02, 115–121, 2013.

M. Baduna Koçyiğit, H. Akay, and A M. Yanmaz, Effect of Watershed Partitioning on Hydrologic Parameters and Estimation of Hydrograph of an Ungauged Basin, A Case Study in Gokirmak and Kocanaz, Turkey Arab. J. Geosci., vol. 10, 2017.

H L. Zhang , Y J, Wang, Y Q. Wang, D X. Li, and X K. Wang, The Effect of Watershed Scale on HEC-HMS Calibrated Parameters: A Case Study in The Clear Creek Watershed in Iowa, US Hydrol. Earth Syst. Sci. vol. 17, p. 2735–2745, 2013.

A. Ahbari, L. Stour, A. Agoum and N. Serhir, Sensitivity of the HMS Model to Various Modelling Characteristics: Case Study of Bin El Ouidane Basin (High Atlas of Morocco) Arab. J. Geosci. vol.11, 2018.

B G. Tassew, M A. Balete and K. Miegel, Application of HEC-HMS Model for Flow Simulation in the Lake Tana Basin: The Case of Gilgel Abay Catchment, Upper Blue Nile Basin, Ethiopia Hydrology, vol.6 1–17, 2019.

I G. Tunas, N. Anwar and U. Lasminto, A synthetic unit hydrograph model based on fractal characteristics of watersheds, Int. J. River Basin Manag, vol.17, 465–477, 2019.

Geospatioan Information Agency, Digital Elevation Model Nation (DEMNAS), 2019.

T L. Lovell and E. Atkinson, From Slide Rules to GIS: A 35-years Evolution in Hydrologic and Hydraulic Engineering, Water Resources and Environmental History, pp 5–10, 2004.

S. Wu, J. Li and G H. Huang, Characterization and Evaluation of Elevation Data Uncertainty in Water Resources Modeling with GIS, Water Resour. Manag. vol.22, p. 959–972, 2008.

A N. Strahler, Quantitative Analysis of Watershed Geomorphology, Trans. Am. Geophys. Union, vol.38, 913–920, 1957.

R H. Hawkins, T J. Ward, D E. Woodward and J A. Van Mullem, Curve Number Hydrology: State of the Practice, Reston, Virginia: American Society of Civil Engineering, 2009.

W A A. Ouédraogo W A A, J M Raude and J M. Gathenya, Continuous Modeling of the Mkurumudzi River Catchment in Kenya Using the HEC-HMS Conceptual Model: Calibration, Validation, Model Performance Evaluation and Sensitivity Analysis Hydrology, vol.5, 44–61, 2018.

A. Wałega, A. Rutkowska and A. Policht-Latawiec, Sensitivity of Beta and Weibull Synthetic Unit Hydrographs to Input Parameter Changes, Polish J. Environ. Stud., vol.23 221–229, 2014.

B. Scharffenberg B, M. Bartles, T. Braurer, M. Fleming and G. Karlovits, Hydrologic Modeling System HEC-HMS User’s Manual, Washington, DC: U.S. Army Corps of Engineers Hydrologic Engineering Center, 2018.




DOI: http://dx.doi.org/10.18517/ijaseit.10.4.12803

Refbacks

  • There are currently no refbacks.



Published by INSIGHT - Indonesian Society for Knowledge and Human Development