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Hydrology of/and Nitrate Transport from a Corn-Soybean Rotation with Water Table Management and Seasonal Wetland Conditions

Ganesan, Yogesh Kumar
http://rave.ohiolink.edu/etdc/view?acc_num=osu1524060689779001

Abstract Details

2018, Master of Science, Ohio State University, Food, Agricultural and Biological Engineering.
Agricultural discharges are considered Non-Point Source (NPS) discharges. A controlled drainage/sub irrigation (CD/SI) water table management scheme was applied during the growing and non-growing seasons to determine the potential to reduce nitrate contamination of surface waters. During the non-growing season, controlled drainage was employed on the CD/SI plots, creating a seasonal wetland condition. The water table management study was conducted in Piketon, OH, at the OSU Piketon Research and Extension Center. The study evaluated the hydrology and the associated nitrogen losses from controlled drainage/sub irrigation (CD/SI) systems compared to those with subsurface drainage only (SSD) systems. The DRAINMOD water management computer model was used to predict the water table elevations, subsurface drainage and runoff flows, and nitrogen loads of these two drainage scenarios. The results of the study indicated a 48 to 62 % reduction in annual subsurface drainage flows and 55 to 56 % reduction in annual discharge from the CD/SI system in comparison to the SSD system. The annual nitrate-loads exported from the plots for the CD/SI system were 68 to 77 % lower than those from the SSD system. The study results suggest a substantial reduction in nitrate contamination of surface waters using the CD/SI water table management system. The predictions from the DRAINMOD computer model were compared with two years (1996-1997) of data recorded at the study site. The water table elevations predicted by the model were considered satisfactory for most periods of the year for the SSD and CD/SI systems. DRAINMOD did a good job of predicting subsurface drainage flow from the SSD system. The model over predicted drainage flow from the CD/SI treatment. Runoff from the SSD system was accurately predicted for one year and over predicted for the other year. Since DRAINMOD cannot account for changes in surface storage values within a simulation period the runoff from the CD/SI treatments were over predicted.
Larry Brown, Dr. (Advisor)
Norman Fausey, Dr. (Committee Member)
116 p.
Agricultural Education; Agricultural Engineering; Civil Engineering; Engineering; Environmental Engineering; Hydrology; Natural Resource Management
Subsurface irrigation, Nitrate Transport, Hydrology, Wetland Conditions, Non Point Source Pollutants, Corn, Soybean,

Recommended Citations

Citations

  • Ganesan, Y. K. (2018). Hydrology of/and Nitrate Transport from a Corn-Soybean Rotation with Water Table Management and Seasonal Wetland Conditions [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1524060689779001

    APA Style (7th edition)

  • Ganesan, Yogesh. Hydrology of/and Nitrate Transport from a Corn-Soybean Rotation with Water Table Management and Seasonal Wetland Conditions . 2018. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1524060689779001.

    MLA Style (8th edition)

  • Ganesan, Yogesh. "Hydrology of/and Nitrate Transport from a Corn-Soybean Rotation with Water Table Management and Seasonal Wetland Conditions ." Master's thesis, Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1524060689779001

    Chicago Manual of Style (17th edition)

osu1524060689779001
205
© 2018, some rights reserved.Creative Commons License Hydrology of/and Nitrate Transport from a Corn-Soybean Rotation with Water Table Management and Seasonal Wetland Conditions by Yogesh Kumar Ganesan is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by The Ohio State University and OhioLINK.