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Impacts of spatiotemporal data resolution on monitoring nutrient concentrations and estimating nutrient loads in The Little Auglaize River

Pace, Shannon
http://rave.ohiolink.edu/etdc/view?acc_num=osu1650287695302482

Abstract Details

2022, Master of Science, Ohio State University, Environment and Natural Resources.
High-frequency water sampling for nutrient concentrations is difficult to obtain for small-scale projects. Watershed managers continuously need to make decisions as to what sampling methods and frequencies in both space and time will give the most representative information with the least amount of observational uncertainty. This research analyzed high-resolution spatiotemporal data over the course of one year for an agricultural watershed located in Ohio’s Western Lake Erie Basin. A novel in situ nutrient monitoring device was installed at a reservoir intake that diverts water from the Little Auglaize River. High-frequency, two-hour nutrient concentrations for nitrogen (N) and phosphorus (P) paired with discharge were used to calculate an annual-nutrient load. This load was compared to load estimations calculated assuming that only daily or weekly samples were collected. Daily subsamples used for annual nutrient load estimates varied from the load calculated using two-hour nutrient concentrations for N by -19% to 18% and for P by -36% to 29%. Most of the annual cumulative load was contributed during high-flow events that occurred during the non-growing season. To further explore the implications of high-frequency monitoring of nutrients, concentration-discharge relations were plotted using subsets of the complete monitoring dataset to assess where N and P exhibited mobilizing, diluting or chemostatic responses. The high-frequency monitoring was able to capture 12 high-flow events in this study. Based on these events, N consistently exhibited a diluting response while P exhibited a more variable response that tended towards a mobilizing response. Finally, to explore potential source variability across the watershed, high-resolution spatial data were collected during two base-flow synoptic campaigns during the growing season (June 2021) and non-growing season (November 2021).
Steve Lyon (Advisor)
88 p.
Agriculture; Environmental Science; Water Resource Management

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Citations

  • Pace, S. (2022). Impacts of spatiotemporal data resolution on monitoring nutrient concentrations and estimating nutrient loads in The Little Auglaize River [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1650287695302482

    APA Style (7th edition)

  • Pace, Shannon. Impacts of spatiotemporal data resolution on monitoring nutrient concentrations and estimating nutrient loads in The Little Auglaize River. 2022. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1650287695302482.

    MLA Style (8th edition)

  • Pace, Shannon. "Impacts of spatiotemporal data resolution on monitoring nutrient concentrations and estimating nutrient loads in The Little Auglaize River." Master's thesis, Ohio State University, 2022. http://rave.ohiolink.edu/etdc/view?acc_num=osu1650287695302482

    Chicago Manual of Style (17th edition)

osu1650287695302482
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This open access ETD is published by The Ohio State University and OhioLINK.