Application of the HEC-HMS model for runoff simulation in a tropical catchment

Hydrologic simulation employing computer models has advanced rapidly and computerized models have become essential tools for understanding human influences on river flows and designing ecologically sustainable water management approaches. The HEC-HMS is a reliable model developed by the US Army Corps of Engineers that could be used for many hydrological simulations. This model is not calibrated and validated for Sri Lankan watersheds and need reliable data inputs to check the suitability of the model for the study location and purpose. Therefore, this study employed three different approaches to calibrate and validate the HEC-HMS 3.4 model to Attanagalu Oya (River) catchment and generate long term flow data for the Oya and the tributaries.Twenty year daily rainfall data from five rain gauging stations scattered within the Attanagalu Oya catchment and monthly evaporation data for the same years for the agro meteorological station Henarathgoda together with daily flow data at Dunamale from 2005 to 2010 were used in the study. GIS layers that were needed as input data for the flow simulation were prepared using Arc GIS 9.2 and used in the HEC-HMS 3.4 calibration of the Dunamale sub catchment using daily flow data from 2005 to 2007. The model was calibrated adjusting three different methods. The model parameters were changed and the model calibration was performed separately for the three selected methods, the Soil Conservation Service Curve Number loss method, the deficit constant loss method (the Snyder unit hydrograph method and the Clark unit hydrograph method) in order to determine the most suitable simulation method to the study catchment. The calibrated model was validated with a new set of rainfall and flow data (2008-2010). The flows simulated from each methods were tested statistically employing the coefficient of performance, the relative error and the residual method. The Snyder unit hydrograph method simulates flows more reliably than the Clark unit hydrograph method. As the loss method, the SCS Curve Number method does not perform well. HEC-HMS can reliably be used to simulate flows in ungauged tropical watersheds.Snyder unit hydrograph method is more reliably than Clark unit hydrograph method.As the loss method, the SCS Curve Number method does not perform well.Deficit and constant method is more reliable than SCS Curve Number method.

[1]  Juraj M. Cunderlik,et al.  Hydrological extremes in a southwestern Ontario river basin under future climate conditions/Extrêmes hydrologiques dans un basin versant du sud-ouest de l'Ontario sous conditions climatiques futures , 2005 .

[2]  Kyoung Jae Lim,et al.  Calibration of a Simple Rainfall-Runoff Model for Long-Term Hydrological Impact Evaluation , 2006 .

[3]  Junaidah Ariffin,et al.  Flood estimation studies using hydrologic modeling system (HEC-HMS) for Johor River, Malaysia. , 2010 .

[4]  Steven J. Burian,et al.  Assessment of GPU computational enhancement to a 2D flood model , 2011, Environ. Model. Softw..

[5]  Charles S. Melching,et al.  Equations for estimating Clark Unit-hydrograph parameters for small rural watersheds in Illinois , 2000 .

[6]  James P. Verdin,et al.  Developing index maps of water-harvest potential in Africa , 2004 .

[7]  Anthony M. Castronova,et al.  Simulating watersheds using loosely integrated model components: Evaluation of computational scaling using OpenMI , 2013, Environ. Model. Softw..

[8]  Mustafa Siddik Altinakar,et al.  A GIS-based decision support system for integrated flood management under uncertainty with two dimensional numerical simulations , 2011, Environ. Model. Softw..

[9]  Bart Muys,et al.  Runoff curve numbers for steep hillslopes with natural vegetation in semi‐arid tropical highlands, northern Ethiopia , 2008 .

[10]  M. Fleming,et al.  HYDROLOGIC MODELING SYSTEM (HEC-HMS): , 2005 .

[11]  D. Pauly On the interrelationships between natural mortality, growth parameters, and mean environmental temperature in 175 fish stocks , 1980 .

[12]  Gerhard Schoener Comparison of AHYMO and HEC-HMS for Runoff Modeling in New Mexico Urban Watersheds , 2010 .

[13]  L. Molnár Hydrology of mountainous areas. , 1990 .

[14]  Theodore G. Cleveland,et al.  Literature Review on Timing Parameters for Hydrographs , 2005 .

[15]  Zong‐Liang Yang,et al.  Regional scale flood modeling using NEXRAD rainfall, GIS, and HEC-HMS/RAS: a case study for the San Antonio River Basin Summer 2002 storm event. , 2005, Journal of environmental management.

[16]  Joseph H. A. Guillaume,et al.  Characterising performance of environmental models , 2013, Environ. Model. Softw..

[17]  R. S. Wijesekara,et al.  Preliminary groundwater assessment and water quality study in the shallow aquifer system in the Attanagalu Oya Basin , 2010 .

[18]  Ioana Popescu,et al.  River cross-section extraction from the ASTER global DEM for flood modeling , 2012, Environ. Model. Softw..

[19]  P. D. Batesa,et al.  A simple raster-based model for flood inundation simulation , 2000 .

[20]  I. Muzik Applicability of the modified SCS runoff prediction method to small catchments in Thailand , 1993 .

[21]  M.M.M. Najim,et al.  AGNPS model assessment for a mixed forested watershed in Thailand , 2006 .

[22]  M. A. Sonbol,et al.  WATERSHED MODELLING OF WADI SUDR AND WADI AL-ARBAIN IN SINAI, EGYPT , 2010 .

[23]  Erin L. Atkinson Natural Resources Conservation Service curve number analysis for Texas , 2001 .

[24]  Nalini Hennayake,et al.  Traversing no man's land : interdisciplinary essays in honour of Professor Madduma Bandara , 2009 .

[25]  R. K. Frevert,et al.  Soil and Water Conservation Engineering , 1955, Soil Science Society of America Journal.

[26]  C. A. Madramootoo,et al.  Use of AGNPS for watershed modeling in Quebec , 1997 .

[27]  Mohamad Pauzi Zakaria,et al.  IDENTIFICATION RUNOFF SOURCE AREA IN TROPICAL WATERSHED , 2009 .

[28]  Mukand S. Babel,et al.  Assessment of agricultural nonpoint source model for a watershed in Tropical Environment. , 2004 .