A Process-based Method to Simulate Terraces in SWAT

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Shanna Underwood
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1 西北农林科技大学 Northwest A&F University A Process-based Method to Simulate Terraces in SWAT Hui Shao, Claire Baffaut, Jiang Gao, Keqin Wang and Hujun Shang July 17-19, 2013

2 Terrace Distribution in China

3 Terraces in Loess Plateau

4 Terraces in Southwest China

5 Terraces in Southeast Hilly Area of China

6 US Terraces

7 Sino-US Terrace Differences Terrace Barrier(Ridge) US Terrace Chinese Terrace Type Normal terrace Mainly bench terrace Original Slope Mostly Less than 10% Mainly between 5% and 46% Barrier Soil Soil or stone bank Drainage Underground pipe or grass water way Lined channel

Current methods to simulate terraces in SWAT Previous studies

effect: curve number (CN2) Erosion effect: slope length and USLE

Terrace related variables References: Arabi, M., J. R. Frankenberger, B.

Representation of agricultural conservation practices with SWAT.

White, E. Steglich, C. A. Jones, and R. Srinivasan. 2011.

8 Current methods to simulate terraces in SWAT Previous studies have represented terraces by changing the value of : Runoff effect: curve number (CN2) Erosion effect: slope length and USLE control practice factor (USLE P-factor) Watershed simulation Terrace related variables References: Arabi, M., J. R. Frankenberger, B. A. Engel, and J. G. Arnold Representation of agricultural conservation practices with SWAT. Hydrological Processes 22(16): Waidler, D., M. White, E. Steglich, C. A. Jones, and R. Srinivasan Conservation Practice Modeling Guide for SWAT and APEX. TR-399. College Station, Texas: Texas A&M University System.

Plant growth: optimal growth & stress More: plant management,

9 Terrace algorithm development Segment simulation Runoff: SCS curve number Erosion: MUSLE method Nutrients: nitrogen & phosphorous Plant growth: optimal growth & stress More: plant management, lateral flow, water harvesting etc. Map of bench terrace Map of normal terrace

10 Terrace storage effects Sub-daily simulation Sediment and nutrient settlement Extra infiltration Extra evaporation Inside terrace channel erosion Map of normal terrace Terrace output

SWAT Incorporation The terrace algorithms were integrated into SWAT at the HRU level by creating a sub-hru area with its own shape and soil system.

11 SWAT Incorporation The terrace algorithms were integrated into SWAT at the HRU level by creating a sub-hru area with its own shape and soil system. Separate: soil, topography, crop management Share: ground water Sketch map of an HRU in SWAT with a terraced area Link: terrace output (drainage, overland flow)

12 Flowchart of the terrace simulation algorithm The terrace algorithm code was incorporated in SWAT model version 488. The terrace simulation activation subroutine is called in the HRU loop of a terraced HRU.

13 Model testing Planar view Sectional view Runoff plot Original ground line 5 Reverse-slope terrace 1 1.2m Reverse-slope terrace 2 Runoff tank Terrace in China Terrace in the US

Terraced Experimental Plots in China A previously published 2 year long runoff, sediment and total nitrogen dataset collected on 2 natural rainfall runoff plots (one control plot and one terrace

14 Terraced Experimental Plots in China A previously published 2 year long runoff, sediment and total nitrogen dataset collected on 2 natural rainfall runoff plots (one control plot and one terrace plot) in southwest China was used for calibration and validation. Yunnan Province, China Calibration Validation Runoff Ave. NS = 0.58 Ave. NS = 0.80 Calibration Validation Calibration Validation Sediment Ave. NS = 0.50 Ave. NS = 0.69 Ave. NS = 0.53 Ave. NS = 0.61 Total nitrogen

Terraced field scale plots in Kansas, US The modified SWAT model was evaluated using a 4-year long 6-plot event runoff and sediment data set with 5 years of plant yield data collected on a natural

15 Terraced field scale plots in Kansas, US The modified SWAT model was evaluated using a 4-year long 6-plot event runoff and sediment data set with 5 years of plant yield data collected on a natural rainfall terraced field in southeast Franklin County, Kansas. Franklin, KS Calibration Validation Runoff Ave. NS = 0.77 Ave. NS = 0.71 Calibration Validation Ave. NS = 0.63 Sediment Ave. NS = 0.75 Ave. NS = 0.77 Crop Yield

16 Watershed application tool development The tool creates and modifies terrace inputs for the relevant HRU s in a watershed, and facilitates the application of the terrace model at watershed scale. Subbasin list Terrace fraction Inflow fraction Terrace input creation file(trc_fig.fig) Read parameter values from original SWAT input files Create terrace input files Write terrace related variable values

17 Watershed application Study Area 6794 km 2 Pasture / grassland: 45% Cropland 41% Forest: 14% Slopes: 2 64% Upstream of Chejiachuan station of the Weihe River Basin

Watershed application Problem Weihe River Basin

have decreased a lot under similar rainfall level.

18 Watershed application Problem Weihe River Basin Weihe River Weihe river is the largest branch of the Yellow River. In recent years, the runoff and water resources have decreased a lot under similar rainfall level. Why? Water conservation measures in the upstream areas? Dams on the main reaches?

19 Preliminary Results Model setup: No change of land cover in the terrace. No adjustment of CN with slope. Results: No changes in runoff, ET, and groundwater ET Groundwater recharge Water yield

Conclusions A process-based terrace algorithm was

of terraces, including normal terrace used in the US and

Application results indicated successful performance of

More applications on different types of terraces and

20 Conclusions A process-based terrace algorithm was developed in SWAT to simulate the environmental effects of terraces, including normal terrace used in the US and bench terrace. Application results indicated successful performance of the terrace model at field and watershed scales. More applications on different types of terraces and soils will be needed for further validation and improvement of the model. Future development of a GIS tool to determine the terrace parameter values at the watershed scale will help effectively apply the model at larger spatial scales.

Bioretention cell schematic key

Bioretention Cells Bioretention cell schematic key 1 3 Hardwood mulch 2 Curb cut 3 18-30 Modified soil 4 Stone aggregate choker layer 5 Stone aggregate base layer 6 Subdrain 7 Undisturbed soil 8 Overflow/Cleanout