Hydrological Modeling of Upper Indus Basin Using HEC -HMS.


Muhammad Ismail Khan,Saqib Shah,Jowhar Hayat,Faisal Hayat Khan,Mehre Munir,




Hydrological m.odeli.ng,Rainfall-runoff simulation,Upper Indus Basin,model calibration,model validation,


One of the most frequently used mechanism to estimate the basin’s hydrological response due to precipitation is Hydrological modeling. In the paper to pretend the rainfall-runoff processing Upper Indus Basin, Pakistan the HEC-HMS model is used. The development of most of hydrological methodologies is done before 1990. But the advancement in GIS technologies and the management of spatial data has assisted repetitious processing tasks for high resolution datasets improving efficiency and spatial variations. Although large amount of data are often required but the preprocessors in GIS helps hydrological modeling through the semi-automated spatial analysis. We used HEC-HMS for hydrological modeling of Upper Indus Basin. To estimate the watershed discharge over time, the HEC-HMS routes a runoff hydrograph through the stream network. It produces the event based storm hydrograph which can be used in urban drainage design, water management, reservoir design, land use impact studies, flood forecasting and floodplain mapping To cover seven years (2005-2011) data Rainfall-runoff simulation is done using random rainstorm measures of these years. Selected events are used for model calibration and the remaining are used for model validation. The statistical tests of error function like root mean square error (RMSE), Nash Sutcliffe efficiency (NASH), mean biased efficiency (MBE), R-square between the observed and simulated data are conducted for calibration of the model. The results show values of R-square of 0.855, and the values of RMSE between the observed and simulated data were indicated as 7.83 and the value of NASH is 0.91 similarly, the value of MBE is 1.5 between the observed and simulated discharge for calibration of the model, respectively. The results indicate values of R-Square is 0.856 and value of RMSE is 9.54 and value of NASH is 1.5 and, the value of MBE is 1.5 among the experimental and simulated discharge for validation of the model, respectively. For validation and calibration of model select sub-basin of Upper Indus Basin, precipitation and discharge data from 2005 to 2011 is used in modeling.


I. Ateeq-ur Rauf and Abdul Razzaq Ghumman (June 2018) Impact Assessment of Rainfall-Runoff Simulations on the Flow Duration Curve of the Upper Indus River-A comparison of Data-Driven and Hydrologic Models.
II. Abushandi, Eyad & Merkel, Broder (2014). Modelling Rainfall Runoff Relations Using HEC-HMS and IHACRES for a Single Rain Event in an Arid Region of Jordan.
III. Brooks, K.N., N.B., 2003. Hydrology and the Management of Watersheds. 3rd Edition, Wiley-Blackwell, Ames, ISBN-10: 0813829852 pp: 574.
IV. Cunderlik, Juraj & Simonovic, Slobodan. (2004). Inverse Modeling of Water Resources Risk and Vulnerability to Changing Climatic Conditions.
V. D.R Archer, H.J.Fowler(August 2004) Hydrology and Earth System Sciences
VI. France, R.L., 2002. Handbook of Water Sensitive Planning and Design. 1st Edition, Lewis Publishers, Boca Raton, ISBN-10: 1566705622, pp: 699.
VII. Hassan A.K.M Bhuivan, Heather McNairn, Jarett Powers and Amine Merzouki (September 2017)Application of HEC-HMS in a Cold Region Watershed and Use of RADARSAT-2 SoilMoisture in Initializing the Model.
VIII. KimhuySok and Chantha OeurngApplication of HEC-HMS Model to Assess Streamflow and water Resources Availability in Stung Sangker Catchment of Mekong’ Tonle Sap Lake Basin in Cambodia.
IX. MeilingWang, LeiZhang, Thelma D Baddoo(September 2016) Hydrological Modeling in a Semi-Arid Region Using HEC-HMS.
X. Mahmood, R.; Jia, S.; Babel, M.S. Potential Impacts of Climate Change on Water Resources in the Kunhar River Basin, Pakistan. Water 2016, 8, 23
XI. Mukhopadhyay, Biswajit & Khan, Asif. (2014). A quantitative assessment of the genetic sources of the hydrologic flow regimes in Upper Indus Basin and its significance in a changing climate. Journal of Hydrology. 509. 549–572

Muhammad Ismail Khan, Saqib Shah, Jowhar Hayat, Faisal Hayat Khan, Mehre Munir View Download