Evaluating the Reduction Effect of Nonpoint Source Pollution Loads from Upland Crop Areas by Rice Straw Covering Using SWAT

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SESSION J2 : Water Resources Applications - I New Delhi, India 2012 International SWAT Conference Evaluating the Reduction Effect of Nonpoint Source Pollution Loads from Upland Crop Areas by Rice Straw Covering Using SWAT Seong-Joon Kim (kimsj@konkuk.ac.kr) H.S. Park / C.G. Jung / C.H. Jang Dept. of Civil & Environmental System Engineering Konkuk University, SOUTH KOREA

Contents Introduction Study procedure Material and Method Study area and data monitoring Fertilizer application Rice straw surface covering SWAT Results and Discussion Sensitivity analysis Model calibration and validation Reduction effects in the catchment Concluding remarks

The state of NPS pollution (South Korea) BOD loads (South Korea, 2007) 155.7 (11.5 %) Han River NPS 679.9 (50.1 %) 321.0 (23.7 %) PS 54.1 (4.0 %) 146.7 (10.8 %) Geum River Nakdong River Pollution loads (Four major river, 2007) Han River Nakdong River Total Yeongsan, Seomjin River 27 % 37 % 73 % Yeongsan and Seomjin River 63 % 25 % 75 % Geum River 22 % 78 % 27 % 73 % Point source Nonpoint source

Introduction This study has been supported by the Ministry of Environment since 2010. The main is field experiments, and the modeling & policy making hold 20 % each. Korean government is now operating the TMDL (Total Maximum Daily Load) to local government. With the yearly evaluation results, the central government controls the development and gives some incentive to rural community. Till 1970s, the straw-thatched house was found in rural areas. After the rural community movement (Saemaeul), the roof was changed to tile. By the intensified cattle breeding, the feed was changed to assorted grains.

Introduction The solution of agricultural non-point source (NPS) pollution is a big issue in our country as it contributes big portions for the aquatic water quality. The T-N and T-P loadings from upland crop areas in South Korea cover more than 30 % among the total pollutants. Especially, the NPS loads from June to August (Monsoon period) are highly discharged. A catchment-scale identification of NPS pollution loads is helpful to support the economic planning of BMPs (Best Management Practices) at the right time and right place. NPS pollution is the rainfall-runoff process, which tends to be a complex non-linear, time-varying, and spatially distributed process in agricultural watersheds. Environmental hydrologic models such as SWAT and HSPF are very useful for effective evaluation of BMPs impact. The purpose of this study is to assess the reduction effect of NPS pollution loads from catchment upland crop areas by applying the rice straw covering scenario through SWAT modeling.

Study schematic Total 12 events (2011 June to October) Total 14 events (pre:20, post:12) Meteorological Data Spatial Data Watershed monitoring Experimental plot Precipitation(sub-hourly), Temperature, Wind Speed, Solar Radiation, Relative Humidity DEM(30m), Land Use(1m), Soil type (1:25,000) Streamflow SS, T-N, T-P Rice straw covering (1,276.6 m 2 ) 1.21 km 2 SWAT Model setup Sat. hydraulic conductivity Evaluation of NPS loads reduction effects at catchment outlet Apply BMP scenario to upland crop areas Upland crop: 0.067 km 2 (5.6%)

Study area South Korea Gyeongan-Cheon Byulmi-Cheon Legend Monitoring Station # { Rain Gauging Station Weather Gauging Station Stream Agricultural Boundary Watershed Boundary Study Area Monitoring site Location Latitude 37 11 to 37 12 Longitude 127 15 to 127 16 Catchment Area: 1.21 km 2

Catchment Data DEM 1:5,000 Soil: 1:25,000 Landuse: QuickBird (1st May 2006) DEM 2m Soil Landuse (QuickBird)

Land use (24 categories) Catchment Data Corn Potato Pumpkin, Bean Upland crop: 0.067 km 2 (5.6%)

Monitoring Catchment data Rainfall station 1, water-level station 1, CDMA networking, web server operation (hour) Total 12 events (2011 June to October); streamflow, sediment, T-N and T-P Rating curve (2011) Water level (T/M) Water level Rating curve equation

Monitoring process Catchment data Rainfall station

Monitoring process Catchment data streamflow and water quality under rainfall event

Material and method Rice straw covering Eco-cycling, easy to obtain, easy to manage (spread and remove) Especially effective in poor soil conditions, reduce runoff and keep the soil & nutrients. Control soil erosion and maintain soil moisture Experimental plot data (from Kangwon Univ.) Latitude 37 55 to 37 56 Longitude 127 46 to 127 47 Area: 1,276.6 km 2, Slope: 3.2%

Material and method Standard fertilizer application in South Korea SWAT uses Management files (.mgt) to describe plant growth, tillage, harvest, and fertilization practices. Crop Plant CN Fertilizer (kg/ha) N P K Harvest Paddy 1-May 78.0 0.17 0.045 0.057 15-Oct Sweet potato 15-Mar 71.5 0.14 0.325 0.28 15-Oct Potato 20-Feb 71.8 0.1 0.1 0.12 15-Jul Soybean 1-May 70.3 0.08 0.14 0.12 1-Oct Corn 1-Apr 69.7 0.073 0.03 0.06 1-Sep

Material and method Standard fertilizer application 1. MGT file 2. Operation 3. Time schedule

Sensitivity Analysis of SWAT parameters Results and discussion performed for 10 parameters ESCO (soil moisture), CN2 (surface runoff, sediment, phosphorus) GW_DELAY, ALPHA_BF (recession, nitrogen transport)

Calibrated parameters Results and discussion Parameter Description Calibrated Value Min. Range Max. Process ALPHA_BF Baseflow recession constant 0.8 0 1 Streamflow ESCO Soil evaporation compensation factor 1.0 0 1 Evapotranspiration GW_DELAY Delay time for aquifer recharge (days) 6.5 0 500 Ground water GW_REVAP Groundwater "revap" coefficient 0.02 0.02 0.2 Ground water CH_COV Channel cover factor 1.0-0.001 1 Sediment PRF Peak rate adjustment factor for sediment routing in the main channel 2.0 0 2 Sediment CH_EROD Channel erodibility factor (cm/hr/pa) 0.6-0.05 0.6 Sediment USLE_K USLE equation soil erodibility K factor 0.5 0 0.65 Sediment SHALLST_N CH_ONCO Nitrate concentration in shallow aquifer (mg/l) Organic nitrogen concentration in the channel (ppm) 100 0 1000 Total Nitrogen 100 0 100 Total Nitrogen NPERCO Nitrogen percolation coefficient 1 0 1 Total Nitrogen CN_OPCO GWSOLP Organic Phosphorus concentration in channel Concentration of soluble phosphorus in groundwater 100 0 100 Total Phosphorus 150 0 1000 Total Phosphorus

Streamflow calibration Results and discussion 22th June 29th June 3rd July 26th July 31th July 3rd August 7th August 12th August 16th August

Stream water quality Results and discussion Sediment R 2 : 0.72 T-N T-P R 2 : 0.62 R 2 : 0.63

Results and discussion Experimental results of rice straw covering to upland crop For 8 pre-covering and 6 post-covering data, The percent of decrease in surface runoff was 9.8 %. The removal efficiency of NPS loads were 89.7 % ~ 99.4 %. Rainfall-Runoff ratio Intensity-Runoff ratio 9.8% 9.8%

Results and discussion SWAT application results The saturated hydraulic conductivity (SOL_K) was adjusted. Three level of SOL_K was tested. Low: 16.2 mm/hr (2.5 % of runoff decrease) Medium: 21.2 mm/hr (5.0 % of runoff decrease) High: 111.2 mm/hr (10.0 % of runoff decrease) Low Medium High

Results and discussion SWAT application results The removal efficiency Sediment: 19.2 ~ 80.0 % T-N: 17.7~ 83.2 % T-P: 14.6 ~ 78.7 % Sediment T-N T-P

Concluding remarks We tried to reduce the NPS loads by covering rice straw in upland crop areas from a catchment. For SWAT modeling, we selected the parameter saturated hydraulic conductivity (SOL_K) to evaluate the covering effect. To reduce surface runoff, increase infiltration Is there an idea for the evaluation of surface covering effect? With limited field experimental results, For effective catchment evaluation Other parameters?

Thank you Earth Information Engineering Lab. Kim, Seong Joon Dept. of Civil and Environmental System Engineering Konkuk University, Seoul, South Korea E-mail: kimsj@konkuk.ac,kr Website: http://konkuk.ac.kr/~kimsj/