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Frontiers of Environmental Science & Engineering

ISSN 2095-2201

ISSN 2095-221X(Online)

CN 10-1013/X

Postal Subscription Code 80-973

2018 Impact Factor: 3.883

Front Envir Sci Eng    2013, Vol. 7 Issue (1) : 109-119    https://doi.org/10.1007/s11783-012-0418-7
RESEARCH ARTICLE
Evaluation of SWAT sub-daily runoff estimation at small agricultural watershed in Korea
Ganga Ram Maharjan1, Youn Shik Park2, Nam Won Kim3, Dong Seok Shin4, Jae Wan Choi4, Geun Woo Hyun5, Ji-Hong Jeon6, Yong Sik Ok7, Kyoung Jae Lim1()
1. GIS Environmental System Laboratory, Department of Regional Infrastructure Engineering, Kangwon National University, Chuncheon 200–701, R. O. Korea; 2. Department of Agricultural and Biological Engineering, Purdue University, West Lafayette, IN 47907, USA; 3. Water Resource Research Department, Korea Institute of Construction Technology, Goyang 411–712, R. O. Korea; 4. National Institute of Environmental Research, Incheon 404–708, R. O. Korea; 5. Department of Water Research Division, Gangwon Institute of Health and Environment, Chuncheon 200–822, R. O. Korea; 6. Department of Environmental Engineering, Andong National University, Andong 760–380, R. O. Korea; 7. Department of Biological Environment, Kangwon National University, Chuncheon 700–71, R. O. Korea
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Abstract

A study was undertaken for the prediction of runoff flow from 0.8 ha field-sized agricultural watershed in South Korea using Soil and Water Assessment Tool (SWAT) sub-daily. The SWAT model with sub-daily configuration predicted flow from the watershed within the range of acceptable accuracy. The SWAT sub-daily simulations were carried out for a total of 18 rainfall events, 9 each for calibration and validation. Overall trend and extent of matching simulated flow for the rainfall events in 2007-2008 with measured data during the calibration process were coefficient of determination (R2) value of 0.88 and Nash and Sutcliffe Efficiency (ENS) value of 0.88. For validation, R2 and ENS values were 0.9 and 0.84, respectively. Whereas R2 and ENS values for simulation results using daily rainfall data were 0.79 and -0.01, respectively, that were observed to be out of acceptable limits for the model simulation. The importance of higher time resolution (hourly) precipitation records for flow simulation were evaluated by comparing R2 and ENS with 15 min, 2 h, 6 h and 12 h precipitation data, which resulted in lower statistics with increases in time resolution of precipitation data. The SWAT sub-daily sensitivity analysis was performed with the consideration of hydraulic parameter and was found as in the rank order of CN2 (curve number), ESCO (soil evaporation compensation factor), GW_DELAY (ground water delay time), ALPHA_BF ( base flow alpha factor), GWQMN ( a threshold minimum depth of water in the shallow aquifer required for return flow to occur) , REVAPMN (minimum depth of water in shallow aquifer for re-evaporation to occur) , LAT_TIME (lateral flow travel time) respectively. These sensitive parameters were evaluated at 10% higher and lower values of the parameters, corresponding to 70.5% higher and 23.2% lower in simulated flow out from the SWAT model. From the results obtained in this study, hourly precipitation record for SWAT sub-daily with Green-Ampt infiltration method was proven to be efficient for runoff estimation at field sized watershed with higher accuracies that could be efficiently used to develop site-specific Best Management Practices (BMPs) considering rainfall intensity, rather than simply using daily rainfall data.

Keywords Soil and Water Assessment Tool (SWAT)      sub-daily simulation      runoff      rainfall     
Corresponding Author(s): Lim Kyoung Jae,Email:kjlim@kangwon.ac.kr   
Issue Date: 01 February 2013
 Cite this article:   
Yong Sik Ok,Kyoung Jae Lim,Ganga Ram Maharjan, et al. Evaluation of SWAT sub-daily runoff estimation at small agricultural watershed in Korea[J]. Front Envir Sci Eng, 2013, 7(1): 109-119.
 URL:  
https://academic.hep.com.cn/fese/EN/10.1007/s11783-012-0418-7
https://academic.hep.com.cn/fese/EN/Y2013/V7/I1/109
Fig.1  Location of study area with drain channel
Fig.1  Location of study area with drain channel
Fig.2  Temperature and precipitation for 2007(a) and 2008(b)
Fig.2  Temperature and precipitation for 2007(a) and 2008(b)
Fig.3  Sub-watershed boundaries with manual delineation after automatic delineation
Fig.3  Sub-watershed boundaries with manual delineation after automatic delineation
soil class/AnBfive soil layers from surface
Z1Z2Z3Z4Z5
depth/mm250453.26311215.21901
bulk density moist/(g·mL-1)1.41 0.251.351.851.8
saturated hydraulic conductivity Ksat./ (mm·h-1)2010202020
organic carbon/(wt. %)2.910.970.970.320.11
clay/(wt. %)2114142020
silt /(wt. %)52.7455.6255.627.8337.83
sand/(wt. %)26.2630.3830.3842.1742.17
Tab.1  Soil properties at different soil horizon at the watershed
yearJulian daysHourPCP/mm
20081700:000.0
20081701:000.0
20081702:000.0
20081703:000.5
20081704:002.0
20081705:004.0
20081706:003.5
20081707:003.5
20081708:002.5
20081709:002.5
200817010:003.5
200817011:003.5
200817012:001.0
200817013:0017.0
200817014:000.0
200817015:000.0
200817016:000.0
200817017:000.0
200817018:000.0
200817019:000.0
200817020:000.0
200817021:000.0
200817022:000.0
200817023:000.0
Tab.2  Precipitation data format in SWAT sub-daily run
Fig.4  Hourly precipitation variation for events of 2007(a) and 2008(b) at the study watershed
Fig.4  Hourly precipitation variation for events of 2007(a) and 2008(b) at the study watershed
yearsmeasured precipitation/mmJulian days (Events)hourly simulation cubic meter per sec /(CMS)measured cubic meter per sec /(CMS)remarks
200741.52003.46E-041.50E-04calibrated events
73213-2141.84E-031.90E-03
92.3216-2171.80E-031.94E-03
712202.44E-031.63E-03
136.52215.65E-036.90E-03
35.52311.11E-036.02E-04
522391.21E-031.77E-03
252496.53E-044.32E-04
92257-2581.56E-033.07E-03
532611.88E-032.03E-03validated events
200841.51705.16E-052.43E-04
231951.10E-051.62E-04
29197-1981.88E-053.47E-04
75201-2021.25E-031.02E-03
242154.73E-051.85E-04
272162.80E-046.71E-04
312253.02E-043.70E-04
39.52319.60E-047.75E-04
Tab.3  Hourly flow results in calibration and validation for each storm events
parameterdescriptionrangerankmeanmaximumvariance
ALPHA_BFbase flow alpha factor0.00 to 243.51E-033.51E-023.51E-03
CN2curve number-25 to 9016.25E-020.204416.25E-02
ESCOsoil evaporation compensation factor0.00 to 1.0021.70E-025.62E-021.70E-02
GW_DELAYground water delay time-10 to 1031.21E-023.07E-021.21E-02
GWQMNa threshold minimum depth of water in the shallow evaporation coefficient0.00 to 100050.00E+ 000.00E+ 000.00E+ 00
REVAPMNminimum depth of water in shallow aquifer for re-evaporation to occur-100 to 10050.00E+ 000.00E+ 000.00E+ 00
LAT_TIMElateral flow travel time0.000 to 50.0050.00E+ 000.00E+ 000.00E+ 00
Tab.4  Parameter range of variables derived from sensitivity analysis
parametersvalues of parameters fixed at calibration and validation10% higher10%lower
CN2808872
ESCO0.981.0780.882
GW_DELAY10119
ALPHA_BF1.0481.15280.9432
GWQMN505545
REVAPMN11.10.9
LAT_TIME0.50.550.45
Tab.5  Corresponding parameters values at 10% lower and higher
measured (CMS)flow values at fixed parametersout flow at 10% higher parameters from fixedout flow at 10% lower parameters from fixedchange in flow by 10% higher parameters valueschange in flow by 10% lower parameters values
hourly
1.50E-043.46E-044.28E-042.33E-042.36E+ 013.28E+ 01
1.90E-031.84E-030.0018951.69E-032.99E+ 008.26087
1.94E-031.80E-030.0019010.0017235.61E+ 004.277778
1.63E-032.44E-035.75E-032.38E-031.36E+ 022.30E+ 00
6.90E-035.65E-036.02E-035.46E-036.58E+ 003.39823
6.02E-041.11E-031.04E-031.14E-03-6.13E+ 00-2.43E+ 00
1.77E-031.21E-031.30E-031.04E-037.52E+ 0013.96694
4.32E-046.53E-045.97E-046.40E-04-8.58E+ 002.01E+ 00
3.07E-031.56E-030.0016920.0011228.43E+ 0028.0641
2.03E-031.88E-031.95E-031.72E-033.67E+ 008.56383
2.43E-045.16E-052.34E-043.93E-053.53E+ 022.38E+ 01
1.62E-041.10E-055.79E-065.74E-06-4.74E+ 0147.81818
3.47E-041.88E-050.0001571.36E-057.36E+ 0227.71809
1.02E-031.25E-030.0015130.0005022.11E+ 0159.828
1.85E-044.73E-054.45E-052.91E-05-5.96E+ 0038.52008
6.71E-042.80E-044.24E-041.76E-045.16E+ 0137.17857
3.70E-043.02E-042.72E-041.55E-04-9.80E+ 0048.74172
7.75E-049.60E-048.69E-046.46E-04-9.50E+ 0032.67708
total % change70.523.2
Tab.6  Outflow response at 10% change in sensitive parameters
Fig.5  Comparison of simulated and measured runoff for calibration: (a) simulated and measured runoff in calibration; (b) comparison of simulated and measured runoff for calibrated events
Fig.5  Comparison of simulated and measured runoff for calibration: (a) simulated and measured runoff in calibration; (b) comparison of simulated and measured runoff for calibrated events
Fig.6  Comparison of simulated and measured runoff for validation: (a) simulated and measured runoff in validation ;(b) comparison of simulated and measured runoff for validated events
Fig.6  Comparison of simulated and measured runoff for validation: (a) simulated and measured runoff in validation ;(b) comparison of simulated and measured runoff for validated events
time resolution of precipitation15 minutehourly2 hourly6 hourly12 hourly
ENS0.8040.8740.8530.830.462
R20.8170.8980.8750.8550.6620
Tab.7  Simulation result at different time resolution of precipitation records
Fig.7  Comparison of daily simulated and measured runoff for Eevents of 2007 and 2008 : (a) daily simulated and measured runoff for events of 2007 and 2008; (b) comparison of daily simulated and measured runoff at similar condition of SWAT sub-daily
Fig.7  Comparison of daily simulated and measured runoff for Eevents of 2007 and 2008 : (a) daily simulated and measured runoff for events of 2007 and 2008; (b) comparison of daily simulated and measured runoff at similar condition of SWAT sub-daily
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