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APPLICATION AND EVALUATION OF THE GLEAMS MODEL TO A CATTLE GRAZING PASTURE FIELD IN NORTH ALABAMA

Kang, M. S.   (Postdoctoral Research Associate  ); P. prem, P.-Prem    (Department of Biosystems Engineering, Auburn University   ); Yoo, K. H.   (Department of Biosystems Engineering, Auburn UniversityUU0014704  ); Im, Sang-Jun   (Water Resources Research Dept., KICT  );
  • 초록

    The GLEAMS (Groundwater Loading Effects of Agricultural Management System, version 3.0) water quality model was used to predict hydrology and water quality and to evaluate the effects of soil types from a cattle-grazed pasture field of Bermuda-Rye grass rotation with poultry litter application as a fertilizer in North Alabama. The model was applied and evaluated by using four years (1999-2002) of field-measured data to compare the simulated results for the 2.71- ha Summerford watershed. $R^2$ values between observed and simulated runoff, sediment yields, TN, and TP were 0.91, 0.86, 0.95, and 0.69, respectively. EI (Efficiency Index) of these parameters were 0.86, 0.67, 0.70, and 0.48, respectively. The statistical parameters indicated that GLEAMS provided a reasonable estimation of the runoff, sediment yield, and nutrient losses at the studied watershed. The soil infiltration rates were compared with the rainfall events. Only high intensity rainfall events generated runoff from the watershed. The measured and predicted infiltration rates were higher during dry soil conditions than wet soil conditions. The ratio of runoff to precipitation was ranging from 2.2% to 8.8% with average of 4.3%. This shows that the project site had high infiltration and evapotranspiration which generated the low runoff. The ratio of runoff to precipitation according to soil types by the GLEAMS model appeared that Sa (Sequatchie fine sandy loam) soil type was higher and Wc (Waynesboro fine sandy loam, severely eroded rolling phase) soil type relatively lower than the weighted average of the soil types in the watershed. The model under-predicted runoff, sediment yields, TN, and TP in Wb (Waynesboro fine sandy loam, eroded undulating phase) and Wc soil types. General tendency of the predicted data was similar for all soil types. The model predicted the highest runoff in Sa soil type by 105% of the weighted average and the lowest runoff in Wc soil type by 87% of the weighted average


  • 주제어

    GLEAMS .   water quality .   soil .   pasture field .   runoff .   sediment .   TN .   TP .   grass.  

  • 참고문헌 (29)

    1. Wedwick, S., Lakhani, B., Stone, J., Waller, P., and Artiola J. (2001). Development and sensitivity analysis of the GLEAMS-IR model. Trans. of ASAE, Vol. 44, No. 5, pp. 1095-1104 
    2. Yoon, K.S., Yoo, K.H., Wood, C.W., and Hall, B. M. (1994). Application of GLEAMS to predict nutrient losses from land application of poultry litter. Trans. of ASAE, Vol. 37, No. 2, pp. 453-459 
    3. Seo, C.S., Park, S.W., Im, S.J., Yoon, K.S., Kim, S.M., and Kang, M.S. (2002). Development of CREAMS-PADDY model for simulating pollutants from irrigated paddies. J. of the Korea Society of Agricultural Engineers (KSAE,) Vol. 44, No. 3, pp.146-156 
    4. Shirmohammadi, A., Ulen, B., Bergstrom, L.F., and Knisel, W.G. (1998). Simulation of nitrogen and phophorus leaching in a structured soil using GLEAMS and a nuw submodel, 'PARTLE'. Trans. of ASAE, Vol. 41, No. 2, pp. 353-360 
    5. Smith, M.C., Bottcher, A.B., Campbell, K.L., and Thomas, D.L. (1991). Field testing and comparison of the PRZM and GLEAMS models. Trans. of ASAE, Vol. 34, No. 3, pp. 838-847 
    6. Stone, K.C., Hunt, P.G., Johnson, M.H., and Coffey, S.W. (1998). GLEAMS simulation of groundwater nitrate-N from row crop and swine wastewater sprafy fields in the Eastern Coastal Plain. Trans. of ASAE, Vol. 41, No. 1, pp. 51-57 
    7. Tucker, M.A., Thomas, D.L., Bosch, D.D., and Vellidis, G. (2000). GIS-based coupling of GLEAMS and REMM hydrology: I . development and sensitivity. Trans. of ASAE, Vol. 43, No. 6, pp. 1525-1534 
    8. Tucker, M.A., Thomas, D.L., Bosch, D.D., and Vellidis, G. (2000). GIS-based coupling of GLEAMS and REMM hydrology: II. Field test results. Trans. of ASAE, Vol. 43, No. 6, pp. 1535-1544 
    9. Nash, J. E. and Sutcliffe, J. V. (1970). River flow forecasting through conceptual models part I-A discussion of principles. Journal of Hydrology 10: 282-290 
    10. Prem, B. P. (2003). Application of WEPP, and AGNPS computer models for simulation of sediment yield and nutrient losses. MS theis. Auburn, Alabama: Auburn University, Department of Biosystems Engineering 
    11. Ramamarayanan, T.S., Williams, J.R., Dugas, W.A., Hauck, L.M., and McFarland, A.M.S. (1997). Using APEX to identify alternative practices for animal waste management. ASAE Paper 97-2209 
    12. Reyes, M.R., and Cecil, K.D. (1997). Comparing GLEAMS, RUSLE, EPIC, and WEPP soil loss predictions with two years of observed data, ASAE paper No. 97-2120. St. Joseph, Mich.: ASAE 
    13. Sabbagh, G.J., Geleta, S., Elliott, R.L., Willians, J.R., and Griggs, R.H. (1991). Modification of EPIC to simulate pesticide activities. Trans. of ASAE, Vol. 34, No. 4, pp. 1683-1692 
    14. Santhi, C, Arnold, J.G., Williams, J.R., Hauck, L.M., and Dugas, W.A. (2001). Application of a watershed model to evaluate management effects on point and nonpoint source pollution. Trans. of ASAE, Vol. 44, No. 6, pp. 1559-1570 
    15. Knisel, W.G. (1993). GLEAMS groundwater loading effects of agricultural management systems (v.2.1), User's Mannual. UGA-CPES-BAED Pub. No. 5. Washington, D.C.: USDA 
    16. Knisel, W.G. and Davis, F.M. (2000). GLEAMS Groundwater Loading Effects of Agricultural Management Systems Version 3.0 User Manual. Pub. No.: SEWRL-WGK/FMD-050199 
    17. Leonard, R.A., Knisel, W.G., and Still, D.A. (1987). GLEAMS: Groundwater Loading Effects of Agricultural Management Systems. Trans. of ASAE, Vol. 30, No. 5, pp. 1403-1418 
    18. Ma, L., Shaffer, M.J., Boyd, J.K., Waskom, R., Ahuja, L.R., Rojas, K.W., and Xu, C. (1998). Manure management in an irrigated silage corn field: Experiment and modeling. Soil Sci. Soc, Am. J. Vol. 62, No. 4, pp. 1006-1017 
    19. Maidment, D. R., et al. (1993). Handbook of Hydrology. McGraw-Hill, Inc. 
    20. Minkara, M.Y., Wilhoit, J.H., Wood, C.W., and Yoo, K.S. (1995). Nitrate monitoring and GLEAMS simulation for poultry litter application to pine seedlings. Trans. of ASAE, Vol. 38, No. l,pp. 147-152 
    21. Carter, T.E., Wolfe, M.L., and Woeste, F.E. (1996). Risk assessment formulation for nitrate in ground water. Presented at the International Summer Meeting of ASAE. ASAE Paper No. 96-2030. St. Joseph, Mich.: ASAE 
    22. Chin, Y.M., Park, S.W., Kim, S.M., Kang, M.S., and Kang, M.G. (2002). Nutrient loads estimation at paddy field using CREAM-PADDY model. J. of the Korean Society of Rural Planning (KSRP,) Vol. 8, No. 1, pp. 60-68. (In Korean) 
    23. Chinkuyu, A.J., and Kanwar, R.S. (2001). Predicting soil nitrate-nitrogen losses from incorporated poultry manure using the GLEAMS model. Trans. of ASAE, Vol. 44, No. 6, pp. 1643-1650 
    24. Diebel, P.L., Taylor, D.B., Batie, S.S., and Heatwole, CD. (1992). Low-input agriculture as a ground water protection strategy. Water Res. Bull. Vol. 28, No. 4, pp. 755-761 
    25. Gerwig, B.K., Stone, K.C., Williams, R.G., Watts, D.W., and Novak, J.M. (2001). Using GLEAMS and REMM to estimate nutrient movement from a spray field and through a riparian forest. Trans. of ASAE, Vol. 44, No. 3, pp. 505-512 
    26. Knisel, W.G. (1980). CREAMS: A field scale model for Chemicals, Runoff, and Erosion from Agricultural Management Systems. Cons. Res. Rpt 26. Washington, D.C.: USDA 
    27. ASTM Designation: D5093-90 (Reapproved 1997). (1990). Standard test method for field measurement of infiltration rate using a double-ring infiltrometer with a sealed-inner ring. Annual book of ASTM standards, Vol. 04-08 
    28. Bakhsh, A., and Kanwar, R.S. (2001). Simulating tillage effects on nonpoint source pollution from agricultural lands using GLEAMS. Trans. of ASAE, Vol. 44, No. 4, pp. 891-898 
    29. Bakhsh, A., Kanwar, R.S., Jaynes, D.B., Colvin, T.S., and Ahuja, L.R. (2000). Prediction of $NO_3-N$ losses with subsurface drainage water from manured and UAN-fergilized plots using GLEAMS. Trans. of ASAE, Vol. 43, No. 1, pp. 69-77 

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