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Guo, Tian; Gitau, Margaret; Merwade, Venkatesh; Arnold, Jeffrey; Srinivasan, Raghavan; Hirschi, Michael; Engel, Bernard (2018)
Publisher: Copernicus Publications
Languages: English
Types: Article
Subjects: T, G, GE1-350, Geography. Anthropology. Recreation, Environmental technology. Sanitary engineering, Environmental sciences, Technology, TD1-1066
Subsurface tile drainage systems are widely used in agricultural watersheds in the Midwestern U.S. Tile drainage systems enable the Midwest area to become highly productive agricultural lands, but can also create environmental problems, for example nitrate-N contamination associated with drainage waters. The Soil and Water Assessment Tool (SWAT) has been used to model watersheds with tile drainage. SWAT2012 revisions 615 and 645 provide new tile drainage routines. However, few studies have used these revisions to study tile drainage impacts at both field and watershed scales. Moreover, SWAT2012 revision 645 improved the soil moisture based curve number calculation method, which has not been fully tested. This study used long-term (1991–2003) field site and river station data from the Little Vermilion River (LVR) watershed to evaluate performance of tile drainage routines in SWAT2009 revision 528 (the old routine) and SWAT2012 revisions 615 and 645 (the new routine). Both routines provided reasonable but unsatisfactory uncalibrated flow and nitrate loss results. Calibrated monthly tile flow, surface flow, nitrate-N in tile and surface flow, sediment and annual corn and soybean yield results from SWAT with the old and new tile drainage routines were compared with observed values. Generally, the new routine provided acceptable simulated tile flow (NSE = 0.50–0.68) and nitrate in tile flow (NSE = 0.50–0.77) for both field sites with random pattern tile and constant tile spacing, while the old routine simulated tile flow and nitrate in tile flow results for the field site with constant tile spacing were unacceptable (NSE = −0.77– −0.20 and −0.99–0.21 respectively). The new modified curve number calculation method in revision 645 (NSE = 0.56–0.82) better simulated surface runoff than revision 615 (NSE = −5.95 ~ 0.5). Calibration provided reasonable parameter sets for the old and new routines in LVR watershed, and the validation results showed that the new routine has the potential to accurately simulate hydrologic processes in mildly-sloped watersheds.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • Algoazany, A., Kalita, P., Czapar, G., and Mitchell, J.: Phosphorus transport through subsurface drainage and surface runoff from a flat watershed in east central Illinois, USA, J. Environ. Qual., 36, 681-693, https://doi.org/10.2134/jeq2006.0161, 2007.
    • Arnold, J., Gassman, P., King, K., Saleh, A., and Sunday, U.: Validation of the subsurface tile flow component in the SWAT model, Trans. ASAE, 99-2138, 1999.
    • Basheer, A. K., Lu, H., Omer, A., Ali, A. B., and Abdelgader, A. M. S.: Impacts of climate change under CMIP5 RCP scenarios on the streamflow in the Dinder River and ecosystem habitats in Dinder National Park, Sudan, Hydrol. Earth Syst. Sci., 20, 1331- 1353, https://doi.org/10.5194/hess-20-1331-2016, 2016.
    • Boles, C. M., Frankenberger, J. R., and Moriasi, D. N.: Tile Drainage Simulation in SWAT2012: Parameterization and Evaluation in an Indiana Watershed, Trans. ASABE, 58, 1201-1213, https://doi.org/10.13031/trans.58.10589, 2015.
    • Cibin, R., Trybula, E., Chaubey, I., Brouder, S. M., and Volenec, J. J.: Watershed-scale impacts of bioenergy crops on hydrology and water quality using improved SWAT model, GCB Bioenergy, https://doi.org/10.1111/gcbb.12307, 2016.
    • Cooperative Extension Service: Iowa Drainage Guide, Special Report, revised, Ames, IA: Iowa State University, Cooperative Extension Service, https://books.google.com/books/about/Iowa_ Drainage_Guide.html?id=IKRsHAAACAAJ, 1987.
    • Cuadra, P. and Vidon, P.: Storm nitrogen dynamics in tile-drain flow in the US Midwest, Biogeochemistry, 104, 293-308, 2011.
    • Diaz, R. J. and Solow, A.: Ecological and economic consequences of hypoxia: topic 2 report for the integrated assessment on hypoxia in the Gulf of Mexico, 1999.
    • Drablos, C., Konyha, K., Simmons, F., and Hirschi, M.: Estimating soil parameters used in drainmod for artificialy drained soils in Illinois, ASAE Paper No. 88-2617, St. Joseph, Michgan, ASAE, 1988.
    • Du, B., Arnold, J., Saleh, A., and Jaynes, D.: Development and application of SWAT to landscapes with tiles and potholes, Trans. ASAE, 48, 1121-1133, https://doi.org/10.13031/2013.18522, 2005.
    • Du, B., Saleh, A., Jaynes, D., and Arnold, J.: Evaluation of SWAT in simulating nitrate nitrogen and atrazine fates in a watershed with tiles and potholes, Trans. ASABE, 49, 949-959, https://doi.org/10.13031/2013.21746, 2006.
    • Edwards, J. T. and Purcell, L. C.: Soybean yield and biomass responses to increasing plant population among diverse maturity groups, Crop Sci., 45, 1770-1777, https://doi.org/10.2135/cropsci2004.0564, 2005.
    • Edwards, J. T., Purcell, L. C., and Vories, E. D.: Light interception and yield potential of short-season maize (L.) hybrids in the Midsouth, Agron. J., 97, 225-234, https://doi.org/10.2134/agronj2005.0225, 2005.
    • Guo, T., He, B., Jiang, X., Ma, Y., Wu, Y., Xiang, M., Chen, Y., and Tang, C.: Effect of Leucaena leucocephala on soil organic carbon conservation on slope in the purple soil area, Acta Ecol. Sin./Shengtai Xuebao, 32, 190-197, https://doi.org/10.5846/stxb201011261684, 2012a.
    • Guo, T., He, B. H., and Chen, J. J.: Study on SOC Forecast Model in Regions of Hilly Purple Soil by Water Erosion, Adv. Mater. Res., 391, 982-987, https://doi.org/10.4028/www.scientific.net/AMR.391-392.982, 2012b.
    • Guo, T., Engel, B. A., Shao, G., Arnold, J. G., Srinivasan, R., and Kiniry, J. R.: Functional Approach to Simulating ShortRotation Woody Crops in Process-Based Models, BioEnerg. Res., 8, 1598-1613, https://doi.org/10.1007/s12155-015-9615-0, 2015.
    • Guo, T., Cibin, R., Chaubey, I., Gitau, M., Arnold, J. G., Srinivasan, R., Kiniry, J. R., and Engel, B. A.: Evaluation of bioenergy crop growth and the impacts of bioenergy crops on streamflow, tile drain flow and nutrient losses in an extensively tiledrained watershed using SWAT, Sci. Total Environ., 613-614, https://doi.org/10.1016/j.scitotenv.2017.09.148, 2018.
    • Gupta, H. V., Sorooshian, S., and Yapo, P. O.: Status of automatic calibration for hydrologic models: Comparison with multilevel expert calibration, J. Hydrol. Eng., 4, 135- 143, https://doi.org/10.1061/(ASCE)1084-0699(1999)4:2(135), 1999.
    • Jaynes, D. and James, D.: The extent of farm drainage in the United States, US Department of Agriculture, 2007.
    • Jha, M. K.: Evaluating hydrologic response of an agricultural watershed for watershed analysis, Water, 3, 604-617, 2011.
    • Kalita, P., Algoazany, A., Mitchell, J., Cooke, R., and Hirschi, M.: Subsurface water quality from a flat tile-drained watershed in Illinois, USA, Agric., Ecosyst. Environ., 115, 183-193, https://doi.org/10.1016/j.agee.2006.01.006, 2006.
    • Keefer, L.: Sediment and Water Quality Monitoring for the Vermilion River and Little Vermilion River Watersheds, Illinois State Water Survey, 2003.
    • Kiniry, J., Landivar, J., Witt, M., Gerik, T., Cavero, J., and Wade, L.: Radiation-use efficiency response to vapor pressure deficit for maize and sorghum, Field Crops Res., 56, 265-270, https://doi.org/10.1016/S0378-4290(97)00092-0, 1998.
    • Kirkham, D.: Theory of land drainage. Drainage of Agricultural Lands, Agron. Monogr. ASA, Madison, WI, 1957.
    • Koch, S., Bauwe, A., and Lennartz, B.: Application of the SWAT model for a tile-drained lowland catchment in North-Eastern Germany on subbasin scale, Water Resour. Manage., 27, 791- 805, https://doi.org/10.1007/s11269-012-0215-x, 2013.
    • Krause, P., Boyle, D., and Bäse, F.: Comparison of different efficiency criteria for hydrological model assessment, Adv. Geosci., 5, 89-97, 2005.
    • Lal, R., Logan, T., and Fausey, N.: Long-term tillage and wheel traffic effects on a poorly drained mollic ochraqualf in northwest Ohio. 1. Soil physical properties, root distribution and grain yield of corn and soybean, Soil Tillage Res., 14, 341-358, https://doi.org/10.1016/0167-1987(89)90054-8, 1989.
    • Larose, M., Heathman, G., Norton, L., and Engel, B.: Hydrologic and atrazine simulation of the Cedar Creek watershed using the SWAT model, J. Environ. Qual., 36, 521-531, https://doi.org/10.2134/jeq2006.0154, 2007.
    • Lindquist, J. L., Arkebauer, T. J., Walters, D. T., Cassman, K. G., and Dobermann, A.: Maize radiation use efficiency under optimal growth conditions, Agron. J., 97, 72-78, https://doi.org/10.2134/agronj2005.0072, 2005.
    • Luo, Y., Arnold, J., Allen, P., and Chen, X.: Baseflow simulation using SWAT model in an inland river basin in Tianshan Mountains, Northwest China, Hydrol. Earth Syst. Sci., 16, 1259-1267, https://doi.org/10.5194/hess-16-1259-2012, 2012.
    • Mastrodomenico, A. T. and Purcell, L. C.: Soybean nitrogen fixation and nitrogen remobilization during reproductive development, Crop Sci., 52, 1281-1289, https://doi.org/10.2135/cropsci2011.08.0414, 2012.
    • Mitchell, J., Kalita, P., Hirschi, M., and Cooke, R.: Upland drainagewatershed hydrology is different, AWRA 2003 Spring Specialty Conf. Agricultural Hydrology and Water Quality, 2003.
    • Moriasi, D., Arnold, J., and Green, C.: Incorporation of Hooghoudt and Kirkham tile drain equations into SWAT2005, Proc. 4th Intl. SWAT Conf, 2005, 139-147, 2007.
    • Moriasi, D., Rossi, C., Arnold, J., and Tomer, M.: Evaluating hydrology of the Soil and Water Assessment Tool (SWAT) with new tile drain equations, J Soil Water Conserv., 67, 513-524, https://doi.org/10.2489/jswc.67.6.513, 2012.
    • Moriasi, D. N., Arnold, J. G., Van Liew, M. W., Bingner, R. L., Harmel, R. D., and Veith, T. L.: Model evaluation guidelines for systematic quantification of accuracy in watershed simulations, Trans. ASABE, 50, 885-900, 2007.
    • Moriasi, D. N., Gowda, P. H., Arnold, J. G., Mulla, D. J., Ale, S., Steiner, J. L., and Tomer, M. D.: Evaluation of the Hooghoudt and Kirkham tile drain equations in the Soil and Water Assessment Tool to simulate tile flow and nitrate-nitrogen, J. Environ. Qual., 42, 1699-1710, https://doi.org/10.2134/jeq2013.01.0018, 2013.
    • Muhr, J., Höhle, J., Otieno, D. O., and Borken, W.: Manipulative lowering of the water table during summer does not affect CO2 emissions and uptake in a fen in Germany, Ecol. Appl., 21, 391- 401, https://doi.org/10.1890/09-1251.1, 2011.
    • Nash, J. E. and Sutcliffe, J. V.: River flow forecasting through conceptual models part I-A discussion of principles, J. Hydrol., 10, 282-290, https://doi.org/10.1016/0022-1694(70)90255-6, 1970.
    • Neitsch, S. L., Williams, J., Arnold, J., and Kiniry, J.: Soil andWater Assessment Tool Theoretical Documentation Version 2009, Grassland, Soil and Water Research Laboratory, Agricultural Research Service and Blackland Research Center, Texas Agricultural Experiment Station, College Station, Texas, 2011.
    • Qiu, L., Zheng, F., and Yin, R.: SWAT-based runoff and sediment simulation in a small watershed, the loessial hilly-gullied region of China: capabilities and challenges, Int. J. Sediment Res., 27, 226-234, https://doi.org/10.1016/S1001-6279(12)60030-4, 2012.
    • Rabalais, N. N., Turner, R. E., Justic, D., Dortch, Q., and Wiseman Jr, W. J.: Characterization of hypoxia: topic I report for the integrated assessment on hypoxia in the Gulf of Mexico, Silver Spring, MD, Monograph or Serial Issue, 1999.
    • Saltelli, A., Ratto, M., Andres, T., Campolongo, F., Cariboni, J., Gatelli, D., Saisana, M., and Tarantola, S.: Global sensitivity analysis: the primer, John Wiley & Sons, 2008.
    • Schilling, K. E. and Helmers, M.: Effects of subsurface drainage tiles on streamflow in Iowa agricultural watersheds: Exploratory hydrograph analysis, Hydrol. Processes, 22, 4497- 4506, https://doi.org/10.1002/hyp.7052, 2008.
    • Sexton, A., Shirmohammadi, A., Sadeghi, A., and Montas, H.: Impact of parameter uncertainty on critical SWAT output simulations, Trans. ASABE, 54, 461-471, https://doi.org/10.13031/2013.36449, 2011.
    • Shope, C. L., Maharjan, G. R., Tenhunen, J., Seo, B., Kim, K., Riley, J., Arnhold, S., Koellner, T., Ok, Y. S., Peiffer, S., Kim, B., Park, J.-H., and Huwe, B.: Using the SWAT model to improve process descriptions and define hydrologic partitioning in South Korea, Hydrol. Earth Syst. Sci., 18, 539-557, https://doi.org/10.5194/hess-18-539-2014, 2014.
    • Sinclair, T. R. and Muchow, R. C.: Radiation use efficiency, Adv. Agron., 65, 215-265, https://doi.org/10.1016/S0065- 2113(08)60914-1, 1999.
    • Singh, J., Kalita, P., Mitchell, J., Cooke, R., and Hirschi, M.: Simulation of tile flow for a flat tile drained watershed in east central Illinois, 2001 ASAE Annual Meeting, 1, https://doi.org/10.13031/2013.3824, 2001a.
    • Singh, J., Kalita, P., Mitchell, J., Cooke, R., and Hirschi, M.: Tile water quality predictions using DRAINMODN and RZWQM, 2001 ASAE Annual Meeting, 1, https://doi.org/10.13031/2013.3825, 2001b.
    • Singh, R., Helmers, M., and Qi, Z.: Calibration and validation of DRAINMOD to design subsurface drainage systems for Iowa's tile landscapes, Agric. Water Manage., 85, 221-232, https://doi.org/10.1016/j.agwat.2006.05.013, 2006.
    • Singh, R., Helmers, M., Crumpton, W., and Lemke, D.: Predicting effects of drainage water management in Iowa's subsurface drained landscapes, Agric. Water Manage., 92, 162-170, https://doi.org/10.1016/j.agwat.2007.05.012, 2007.
    • Singh, R. and Helmers, M. J.: Improving Crop Growth Simulation in the Hydrologic Model DRAINMOD to Simulate Corn Yields in Subsurface Drained Landscapes, 2008 Providence, Rhode Island, 29 June-2 July 2008, 1, https://doi.org/10.13031/2013.24598, 2008.
    • Skaggs, R. W., Youssef, M., and Chescheir, G.: DRAINMOD: Model use, calibration, and validation, Trans. ASABE, 55, 1509- 1522, https://doi.org/10.13031/2013.42259, 2012.
    • Sugg, Z.: Assessing US farm drainage: Can GIS lead to better estimates of subsurface drainage extent, World Resources Institute, Washington, DC, 2007.
    • Sui, Y. and Frankenberger, J.: Nitrate loss from subsurface drains in an agricultural watershed using SWAT2005, Trans. ASABE, 51, 1263-1272, https://doi.org/10.13031/2013.25243, 2008.
    • Teshager, A. D., Gassman, P. W., Schoof, J. T., and Secchi, S.: Assessment of impacts of agricultural and climate change scenarios on watershed water quantity and quality, and crop production, Hydrol. Earth Syst. Sci., 20, 3325-3342, https://doi.org/10.5194/hess-20-3325-2016, 2016.
    • Tiemeyer, B., Lennartz, B., and Kahle, P.: Analysing nitrate losses from an artificially drained lowland catchment (North-Eastern Germany) with a mixing model, Agric., Ecosyst. Environ., 123, 125-136, https://doi.org/10.1016/j.agee.2007.05.006, 2008.
    • Van Liew, M., Arnold, J., and Garbrecht, J.: Hydrologic simulation on agricultural watersheds: Choosing between two models, Trans. ASAE, 46, 1539, https://doi.org/10.13031/2013.15643, 2003.
    • Wang, G., Jager, H. I., Baskaran, L. M., Baker, T. F., and Brandt, C. C.: SWAT Modeling of Water Quantity and Quality in the Tennessee River Basin: Spatiotemporal Calibration and Validation, Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess2016-34, 2016.
    • Yin, J., He, F., Xiong, Y. J., and Qiu, G. Y.: Effects of land use/land cover and climate changes on surface runoff in a semihumid and semi-arid transition zone in northwest China, Hydrol. Earth Syst. Sci., 21, 183-196, https://doi.org/10.5194/hess-21- 183-2017, 2017.
    • Yuan, Y., Mitchell, J., Walker, S., Hirschi, M., and Cooke, R.: Atrazine losses from corn fields in the Little Vermilion River watershed in east central Illinois, Appl. Eng. Agric., 16, https://doi.org/10.13031/2013.4990, 2000.
    • Zanardo, S., Basu, N., Botter, G., Rinaldo, A., and Rao, P.: Dominant controls on pesticide transport from tile to catchment scale: Lessons from a minimalist model, Water Resour. Res., 48, https://doi.org/10.1029/2010WR010088, 2012.
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