Hydrologic Modeling of White Rock Creek Watershed with SWAT- SWMM

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1 Hydrologic Modeling of White Rock Creek Watershed with SWAT- SWMM Nam Won Kim, Yoo Seung Won, Jeongwoo Lee *, Jeong Eun Lee, Jaehak Jeong 1 / 27

2 SWAT has been developed to evaluate impacts of various Land use and land management conditions on water yield, sediment and non-point source loadings. Components : hydrology, weather, erosion, plant growth, nutrients, pesticides, land management, stream routing. SWAT is not able to treat urban drainage system. 2 / 27

3 SWMM is capable of both single-event and continuous simulation for runoff and water quality processes within an urban catchment. Routing process through a system of pipes, channels, storage/treatment devices, pumps, and regulators can be simulated. SWMM has a difficulty in accounting for land cover types other than urban. 3 / 27

4 Comprehensive hydrological model is required to better represent characteristics of both urban and rural areas. SWAT-SWMM has been developed in order to overcome the aforementioned shortcomings of SWAT and SWMM. Main aims of the presentation - To explain how to integrate SWAT and SWMM - To illustrate some simulated results for the White Rock Creek watershed in USA 4 / 27

5 Runoff Transport Start embedded Start Extran Storage Treatm S- 1 Initialize & Read call getallo.. call headout Initialize & Read call RHYDRO01 call RHYDRO02 W- 1 S- 2 Compute call simulate Compute call HYDRO W- 2 S- 3 Write call finalbal call writeaa call pestw Write call HCURVE call PRPOLL call PRFLOW W- 3 End End SWAT SWMM 5 / 27

6 Separate hydro into land phase routing part and channel/pipe routing part HYDRO RDIIRES HYDRO RDIIRES GUTTER WSHED RDIISHED QSHED GUTTER Computing time step WSHED RDIISHED QSHED GUTTER GUTTER Computing time step Computing time step Simulation time interval of SWAT W- 2-1 W- 2-2 subbasin.f route.f SMSTAT SMSTAT SWMM W- 2-3 SWAT 6 / 27

7 One subwatershed can be modelled by SWMM Watershed HR U Channel Flow Precip, Temp, PET SurfQ, GwQ, EVT, SW Catchment Subwatershed Subcatchment SWAT SWMM 7 / 27

8 SWAT Subcatchment = HRU SWMM SWAT 8 / 27

9 Multiple Land Use and Soil Dominant Land Use and Soil SwatLandUseClass AGRR FRSD FRSE HAY RNGE SWRN UIDU URHD URLD URMD WATR WETF WETN 9 / 27

10 10 / 27 SoilClass Arents Austin Burleson Dalco Eddy Ferris Frio Houston Black Lewisville Pits Stephen Trinity Urban land Ustorthents Water

11 Area : 172 km 2 Denton Altitude : El m Collins DEM : 30m x 30m 6 subwatersheds Subwatershed No.1 Dallas = SWMM catchment outlet 11 / 27

12 12 / 27

13 13 / 27

14 SwatLandUseClass AGRR FRSD FRSE HAY RNGE SWRN UIDU URHD URLD URMD WATR WETF WETN SoilClass Arents Austin Burleson Dalco Eddy Ferris Frio Houston Black Lewisville Pits Stephen Trinity Urban land Ustorthents Water 14 / 27

15 SWAT calibration was performed for entire watershed SWMM calibration was performed for sub-watershed No1. Major adjusted parameters CN2 fo EPCO fc Ksat Gw_delay FIMP n A1 A2 15 / 27

16 Daily Stream Flow (m 3 /s) Observed Simulated R 2 = 0.91 Volume error < 5% 0.01 Feb-04 Apr-04 Jun-04 Aug-04 Oct-04 Dec-04 Feb-05 Apr-05 Jun-05 Date (month-year) 16 / 27

17 Daily Stream Flow (m 3 /s) Observed Simulated R 2 = 0.87 Volume error < 5% 0.01 Nov-06 Jan-07 Mar-07 May-07 Jul-07 Sep-07 Nov-07 Jan-08 Date (month-year) 17 / 27

18 Outflow from SWAT (=Inflow to SWMM) Outflow from SWMM (=Inflow to SWAT) 18 / 27

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20 20 / 27

21 Annual water yield (mm) y = x R 2 = Imperviousness (%) 21 / 27

22 Variations of downstream flows at outlet Variations of hydrological components for the entire watershed Increase of imperviousness 6 Cases of simulations were performed. - Increase rate of impervious area Current State, Case 1: 20 %, Case 2: 40 % Case 3: 60 %, Case 4: 80 %, Case 5: 100 % 22 / 27

23 100.0 Daily Stream Flow (m 3 /s) Current state Case 5 (100 %) 37 % 25 % 0.0 Feb-04 Apr-04 Jun-04 Aug-04 Oct-04 Dec-04 Feb-05 Apr-05 Jun-05 Date (month-year) 23 / 27

24 Daily Stream Flow (m 3 /s) Current state Case Nov-06 Jan-07 Mar-07 May-07 Jul-07 Sep-07 Nov-07 Jan-08 Date (month-year) 24 / 27

25 600 Increase rate of imperviousness Current state 20% 40% 60% 80% 100% 5 % Annual average values (mm) % 7 % 15 % 5 % 0 Surface flow Groundwater Percolation Evapotranspiraton Total yield Hydrological components 25 / 27

26 Performance of integrated SWAT-SMMM model was verified. SWAT-SWMM can be effectively used for assessing hydrologic components for urban as well as rural areas. Future Works - To link water quality components of SWAT and SWMM to each other - To make SWAT processes be calculated at subdaily time scale - To test applicability of SWAT-SWMM for other watersheds 26 / 27

27 Thank you for listening! 27 / 27