Evaluation of Woodchip Bioreactors and Nutrient reduction. There is a critical need to develop additional practices for reducing nitratenitrogen load deposition through tile drainage systems in the Mississippi River Basin and ultimately achieving the target of reducing the hypoxic zone in the Gulf of Mexico. Denitrifying woodchip bioreactors are one example of a method to remove nitratenitrogen from the drainage water. A bench top experiment was conducted to develop the following flow equation for the V-notch weir used in the study to estimate flow rates: Q=1.7406 H 1.9531, where Q is flow rate (l/min), and H is thickness in cm of the nappe flowing over the V notch. An economic analysis showed that the annualized installation costs for the three bioreactors were between $60 and $76 per hectare of effective drained area. The cost to remove one unit mass of nitrate-nitrogen was calculated for one of the bioreactors only due to monitoring equipment failure or lack of flow at the two others. It was approximately $8.68 per Kg N removal. The average concentration-based nitrate removal at both the Baltic and Montrose bioreactors were 81% and 51%, respectively during 2013. At the Montrose bioreactor, the average removal rate of nitrate nitrogen in calculated for the entire volume of woodchips (wetted and unwetted) was 0.98 g N /m3 per day. The nitrate-nitrogen removal rate calculated for the volume of wetted woodchips for the Montrose bioreactor was estimated as 12.58 g N/m3/d. The performance of three bioreactors was determined by the nitrate-nitrogen removal rate and cost per pound of nitrate-nitrogen removed by the bioreactors. The average concentration-based nitrate removal at both the Baltic and Montrose bioreactors were 81% and 51%, respectively during 2013. At the Montrose bioreactor, the average removal rate of nitrate-nitrogen in calculated for the entire volume of woodchips (wetted and unwetted) was 0.98 g N /m3 per day. The nitrate-nitrogen removal rate calculated for the volume of wetted woodchips for the Montrose bioreactor was estimated as 12.58 g N/m3/d. The objectives of this study and evaluate the effectiveness of woodchip bioreactors in removing nitrate-N from subsurface drainage water. Four woodchip bioreactors were installed and monitored between 2012 and 2016 near Arlington, Baltic, Hartford and Montrose in eastern South Dakota. One P adsorption structure was designed, installed and monitored for 2016 near Baltic, South Dakota downstream of the Baltic bioreactor. Results showed that nitrate-N reductions ranged from 7% to 100% for the four bioreactors, based on upstream concentrations of 0.79 to 60.9 mg/L during 2014-2016 study period. Nitrate-N load removal rates varied between 0.01 to 14.6 gm N/m3/day, with upstream and downstream loads of 0.03 to 116 kg/ha/year and 0.0 to 91 kg/ha/year, respectively. The average cost of nitrate removed were estimated to be $11, $20, $13, and $61 kg/N per year for the Arlington, Baltic, Hartford, and Montrose. Location and Design data GPS location Montrose: 43.77240 N, 97.13139 W Arlington: 44.24642 N, 97.12808 W Hartford: inlet 43,53116 N, 96.97514 W, outlet 43.53142 N, 96.97472 W Baltic: inlet 42.73099 N, 96.68113 W Location Installation Month-year Dimension (m) Catchment Name Area Drained (ha) Arlington (Brookings County) Jul-13 38.1 L x 3.6 W x 1.52 D Lake Sinai 6.9 6.9 Baltic (Minnehaha County) Jul-12 35 L x 5.4 W x 1.52 D Silver Creek 16.2 Hartford (Minnehaha County) Nov-14 38.1 L x 3 W x 1.52 D Wall Lake 8.09 Montrose (McCook County) Dec-12 39.6 L x 6.4 W x 1.52 D Skunk Creek 15.4 Four woodchip bioreactors were installed in eastern South Dakota with different dimensions and treatment areas (Table 3.2). The bioreactors are located near Arlington, Baltic, Hartford, and Montrose, South Dakota. The contributing area of the Baltic bioreactor has silty clay loam soil in a corn-soybean-wheat rotation during the study period (2013-2016). A theoretical HRT of 5.4 hours was used to design the bioreactor to handle up to 25% of the peak flow from the contributing area. The Montrose bioreactor receives drainage from approximately 15.4 ha of silty clay loam soil in a corn-soybean rotation during four years of study period (2013-2016). This bioreactor was designed with an estimated HRT of 4.9 hours and designed to handle up to 25% of peak flow from a 20 cm main drain line. The drainage area for the Arlington bioreactor is approximately 6.9 ha of silty clay loam soil. This site was in a corn-soybean rotation during the study period (2014-2016), and the bioreactor was designed to handle 18% of peak flow from a 15 cm main drain line with 6.3 hours HRT. The Hartford bioreactor was designed with 6.3 hours HRT to handle 18% of peak flow from a 15 cm main drain line that drains approximately 8.1 ha. This site was in a corn-soybean rotation during the study period (2015-2016). Common for all sites was the installation of 3-chamber or 4-chamber control structures on the main subsurface drainage line upstream of the bioreactor to divert water through the bioreactor. During high flow conditions, excess water is directed through a bypass and directly into the outlet of the drainage system. A 2-chamber control structure was installed downstream of all bioreactors to measure the outflow before the open ditch, except at the Arlington site, which has a 4-chamber control structure. The retention time is controlled by adjusting the elevation difference between the inlet and outlet of the bioreactor. The particle size of the woodchips ranged from 0.6 to 5.1 cm. Decagon CTD-10 sensors (Decagon Devices, Pullman, WA) were used to measure water depth, temperature, and electrical conductivity in the control structures. The Baltic site used Campbell Scientific sensors (Campbell Scientific, Inc., Logan, UT) while the other three sites were outfitted with Decagon sensors. These sensors utilize pressure transducers to obtain water level measurements. Tipping bucket rain gauges were also installed near upstream of the bioreactors to measure precipitation every 10 minutes. Campbell Scientific TE525 and Decagon ECRN-100 double spoon gauges were installed, respectively, at the Baltic and Arlington sites, and Montrose and Hartford sites. Each transducer was suspended between 0.63 to 1.27 cm above the bottom of the control structure, and flow depth readings were relative to the pressure transducer location. A standard 45? V-notch weir (AgriDrain Corp, Adair, Iowa) was installed in the control structures and the drainage flow rate was estimated based on the thickness (i.e. depth) of the sheet of water flowing over the weir. All the sensors, including pressure transducers and rain gauges were connected to data loggers that record and store the data every 10 minutes. During drain flow events, grab water samples were collected directly within the upstream and downstream control structures. Samples were collected using a water bottle attached to a steel rod placed in each control structure. Collected water samples were immediately stored in a cooler with packed ice until transported to the analysis laboratory. What methodology did you use (tools, experimental protocol, lab notes)? Bioreactor installation, Baltic The first bioreactor was installed near Baltic, SD in July 2012. The bioreactor was installed in the NE ¼, NW ¼, sec 14, T103N, R49W in Minnehaha County in the Silver Creek watershed (Figure 2.7). The Baltic bioreactor was installed to treat water from a drainage area of 16.2 ha. The contributing area has silty clay loam soil. Using the Iowa State bioreactor design spreadsheet, bioreactor dimensions of 115 ft. long and 18 ft. wide were chosen (Table 2.1). The outlet was a 6-inch drainpipe. Based on the design tool estimates, the hydraulic retention time is 5.4 hours and 24.5% of peak flow can be passed through the bioreactor. The presence of E. coli was studied from 2017 on Baltic and Hartford bioreactors. Samples were collected from the inlet as well as the outlet, using sterile bottles and analyzed using membrane filters and mTEC agar. Installation of monitoring equipment at Baltic bioreactor At the Baltic bioreactor, monitoring equipment was installed in the upstream and downstream control structures (Table 2.5). The sensors were connected to a CR 1000 data logger storing the data every 10 minutes (Figure 2.11). Data were downloaded from the data logger onto a laptop computer during the field visits and screened for outliers and spurious values. Two separate pressure transducers were installed to measure the flow rate from both upstream and downstream control structures. Logger net software was used to create a program for the data logger to diagnose the sensors. For the tipping bucket rain gauge, leveling was checked during every field visit. Because the upper part of the rain gauge is removable and due to the external disturbances such as bird sitting on the gauge may be brought out of level Installation of the bioreactor near Montrose The second bioreactor was installed on December 5-6, 2012. The location where the bioreactor was installed is Sec 36, T104 N, R53W in McCook County in the Skunk Creek watershed (Figure 2.8). The design outlet was an eight-inch tile. Based on the design tool, the hydraulic retention is be 4.9 hours and 24.8% of the peak flow can be passed through the bioreactor. The Montrose bioreactor was designed to treat water from a drainage area of 15.4 ha. The drainage area has silty clay loam soil. Installation of monitoring equipment at the Montrose bioreactor At the Montrose bioreactor we used sensors and data loggers from Decagon Devices to measure the meteorological and water quality data. Two data loggers (Em50) were installed near both upstream and downstream control structures (Figure 2.12). An instrument combining a thermometer, an electrical conductivity sensor and a pressure transducer (Decagon CTD) was installed in both the upstream and downstream control structures. A rain gauge (ECRN-100) was installed near the upstream control structure to measure the precipitation received near the bioreactor site. A temperature and relative humidity sensor (VP-3) with radiation shield was installed near the upstream control structure. ECH2O Utility software was used to program the data logger to receive and store the data from each sensor. Installation of the bioreactor near Arlington The third bioreactor was installed on July 23-24, 2013. The location where the bioreactor was installed is Sec 18, T109N, R52W, SW ¼, in Brookings County within the Lake Sinai watershed (Figure 2.9). A portion of the Wenk Waterfowl Protection Area (WPA), where the US Fish and Wildlife Service holds an easement, is located immediately north of the field, and the discharge from the bioreactor drains onto the WPA. Using the ISU design tool, the chosen length and width of the bioreactor were 125ft. and 12 ft., respectively (Table 2.3). Based on the design tool, hydraulic retention time will be 6.33 hours, and 18.38 % of peak flow can be passed through the bioreactor. The Arlington bioreactor was designed to treat water from a drainage area of 6.9 ha. The drainage area has clay silt loam soil. Installation of monitoring equipment at the Arlington bioreactor At the Arlington site bioreactor, sensors were connected to a Campbell Scientific CR 1000 data logger. We used the SDI-12 protocol to program the data logger to conserve channels on the data logger. Based on the SDI-12 commands, each sensor was given its own unique address. Logger net software was used to program the data logger to communicate with the sensors. The rain gauge (Campbell Scientific TE525) and the humidity and temperature probe (Vaisala HMPO 60) which measures temperature and relative humidity with radiation shield were installed near the bioreactor site. In addition, three soil moisture sensors (Decagon 5TM) were installed cross-sectional in the woodchips approximately 25 ft from the upstream end of the bioreactor (Figure 2.10). Two sensors were inserted into the woodchips vertically one foot from the side wall and one foot from the bottom of the trench. The third sensor was inserted approximately in the middle of the two other sensors. Data tables 2017 Hartford Date Upstream Downstream %removal 4/13/2017 15.67 14.97 4 5/16/2017 17.50 15.18 13 5/25/2017 21.42 18.09 16 6/7/2017 17.21 14.36 17 6/13/2017 14.03 12.92 8 6/29/2017 18.55 13.87 25 7/12/2017 10.45 7.58 28           16.40 13.85 15.77   3.49 3.20 8.41 Montrose Date Upstream Downstream % removal 4/13/2017 21.00 17.34 17 5/25/2017 24.67 21.48 13 6/7/2017 23.85 17.39 27 6/13/2017 18.05 12.72 30 6/29/2017 17.27 11.58 33 7/7/2017 17.87 7.39 59 7/12/2017 16.06 2.60 84           19.82 12.93 37.48   3.38 6.48 25.14 Arlington Date Upstream(mg/L) Downstream(mg/L) %removal 4/13/2017 24.99 21.55 14 5/16/2017 25.42 17.07 33 5/25/2017 26.29 0.26 99 6/7/2017 20.71 1.02 95 6/13/2017 19.82 0.30 99 6/29/2017 19.43 12.54 35 7/7/2017 17.03 5.43 68         Average 21.96 8.31 63.25 Stnd 3.57 8.76 35.83 NOTE: NO ANY SAMPLES WERE COLLECTED FROM BALTIC SITE THIS YEAR Hartford Date Upstream Downstream % removal 5/15/2015 11.50 1.72 85.04 5/20/2015 13.06 3.43 73.74 6/1/2015 11.90 1.55 86.97 6/5/2015 11.55 7.60 34.20 6/12/2015 12.10 3.67 69.67 6/26/2015 12.30 1.16 90.57 7/2/2015 6.06 0.56 90.71 7/7/2015 7.44 1.27 82.93 7/17/2015 12.30 0.18 98.58 7/28/2015 15.70 0.25 98.39 10/26/2015 12.50 7.86 37.12 5/4/2016 10.65 7.00 35.09 5/16/2016 30.70 22.86 25.97 5/26/2016 6.63 6.08 8.96 6/17/2016 17.50 11.06 36.79 6/30/2016 9.81 6.53 33.47 7/14/2016 7.41 3.74 50.25 7/25/2016 6.59 4.35 34.92 8/1/2016 5.92 2.35 61.07 Max 30.70 22.86 98.58 Min 5.92 0.18 8.96 Average 11.67 4.91 59.71 Arlington % removal Date Upstream Downstream 3/18/2014 9.71 0.82 91.56 3/23/2014 13.2 1.18 91.06 4/11/2014 6.96 0.85 87.79 4/14/2014 2.96 0.39 86.82 4/23/2014 1.07 0.38 64.49 5/18/2014 7.03 0.44 93.74 5/21/2014 6.8 0.51 92.50 5/23/2014 7.42 0.53 92.86 5/28/2014 7.29 0.31 95.75 6/27/2014 8.42 0.85 89.90 6/30/2014 13.05 0.61 95.33 7/3/2014 8.62 0.31 96.40 7/7/2014 7.53 0.42 94.42 7/11/2014 17.83 0.49 97.25 7/17/2014 25 1.19 95.24 5/8/2015 13.50 0.00 99.96 5/15/2015 15.70 0.01 99.94 5/22/2015 14.20 2.34 83.52 6/1/2015 18.72 1.92 89.74 6/5/2015 7.43 3.31 55.45 6/12/2015 17.20 5.13 70.17 6/26/2015 20.07 0.45 97.76 7/2/2015 6.83 1.52 77.75 7/7/2015 8.55 0.49 94.28 7/17/2015 12.80 0.23 98.20 7/28/2015 6.95 0.00 99.93 8/7/2015 0.79 0.00 99.40 10/26/2015 17.10 0.00 99.97 3/7/2016 18.79 13.94 25.82 4/12/2016 19.23 7.23 62.40 4/14/2016 17.18 11.84 31.12 4/26/2016 8.86 5.33 39.88 5/4/2016 10.71 3.83 64.24 5/16/2016 21.39 9.12 57.34 5/19/2016 17.01 2.58 84.82 5/26/2016 14.35 8.42 41.31 6/2/2016 19.10 11.87 37.83 6/9/2016 14.13 2.36 83.29 6/17/2016 23.81 8.77 63.17 Max 25.00 13.94 99.97 Min 0.79 0.00 25.82 Avearge 12.49 2.82 80.06 Montrose Date Upstream Downstream %removal 3/18/2014 11.4 2.97 73.95 3/23/2014 12.3 4.35 64.63 4/11/2014 12.05 0.91 92.45 5/2/2014 13.35 0.2 98.50 5/5/2014 13 0.26 98.00 5/18/2014 13.3 1.54 88.42 5/21/2014 13.55 0.32 97.64 5/23/2014 13.75 0.27 98.04 5/28/2014 5.73 0.13 97.73 6/5/2014 19.8 10.35 47.73 6/10/2014 16.3 15.05 7.67 6/13/2014 10.8 9.48 12.22 6/17/2014 15.9 14.85 6.60 6/21/2014 13.3 12.25 7.89 6/24/2014 20.05 16.05 19.95 6/27/2014 9.1 8.31 8.68 6/30/2014 18.8 15.3 18.62 7/7/2014 14.66 9.47 35.40 7/11/2014 18.64 0.24 98.71 7/17/2014 14.65 0.53 96.38 5/8/2015 10.90 0.01 99.91 5/15/2015 14.78 1.69 88.59 5/22/2015 9.07 5.24 42.23 6/1/2015 14.78 2.11 85.72 6/12/2015 14.1 4.74 66.31 7/2/2015 14.3 0.0095 99.93 7/7/2015 6.89 0.00475 99.93 7/17/2015 10.1 4.91 51.39 7/28/2015 20.4 0.0095 99.95 7/28/2015 7.37 0.0045 99.94 3/7/2016 13.82 10.76 22.14 4/12/2016 15.80 9.64 38.98 4/14/2016 15.41 8.26 46.43 4/26/2016 9.51 6.81 28.38 5/4/2016 10.85 8.93 17.66 5/19/2016 13.89 11.25 19.02 5/26/2016 13.94 10.57 24.14 6/2/2016 23.16 9.93 57.13 6/9/2016 7.92 6.74 14.91 Max 23.16 16.05 99.95 Min 5.73 0.00 6.60 Average 13.52 5.75 58.25 Baltic Date Upstream Downstream % removal 6/2/2014 40.7 30.2 25.80 6/5/2014 17.9 3.835 78.58 6/10/2014 28.65 4.68 83.66 6/13/2014 31.55 9.445 70.06 6/17/2014 33.9 20.45 39.68 6/21/2014 27.3 21.55 21.06 6/24/2014 40.5 33.6 17.04 6/27/2014 22.8 18.15 20.39 6/30/2014 36.1 26.35 27.01 7/3/2014 28 19.37 30.82 7/7/2014 25.7 12.89 49.84 7/11/2014 29.1 11.79 59.48 7/17/2014 24.25 0.234 99.04 5/15/2015 43.78 17.4 60.26 5/22/2015 35.1 25.6 27.07 6/1/2015 55.1 40.2 27.04 6/5/2015 36.1 19.74 45.32 6/12/2015 42.05 17.6 58.15 6/26/2015 60.95 18.8 69.16 7/2/2015 7.77 0.01 99.87 7/7/2015 26.00 2.72 89.54 7/10/2015 59.60 18.3 69.30 7/17/2015 9.33 0.58 93.78 7/28/2015 55.40 4.32 92.20 8/7/2015 29.90 11.8 60.54 10/26/2015 54.8 8.54 84.42 3/7/2016 44.48 10.24 76.97 3/22/2016 50.55 21.88 56.72 4/12/2016 52.71 17.61 66.60 4/14/2016 33.32 16.92 49.23 4/26/2016 26.02 22.54 13.36 5/4/2016 20.94 9.32 55.52 5/16/2016 40.34 19.16 52.52 5/19/2016 33.31 30.84 7.40 5/26/2016 23.55 21.15 10.22 6/2/2016 36.69 23.41 36.20 6/9/2016 16.11 7.24 55.07 6/17/2016 38.87 22.81 41.32 6/30/2016 37.63 15.10 59.88 7/8/2016 38.07 5.37 85.91 7/14/2016 31.48 10.56 66.44 Max 60.95 40.20 99.87 Min 7.77 0.01 7.40 Average 34.79 15.91 54.45 5