2023 Early Hearing Detection & Intervention Conference
March 5-7, 2023 • Cincinnati, OH
5/21/2019 | 9:45 AM - 10:00 AM | HIGH-FREQUENCY DATA REVEALS SPATIOTEMPORAL VARIABILITY IN CARBON AND NITRGEN CONCENTRATION-DISCHARGE RELATIONSHIPS ACROSS A STREAM NETWORK | 250 AB
HIGH-FREQUENCY DATA REVEALS SPATIOTEMPORAL VARIABILITY IN CARBON AND NITRGEN CONCENTRATION-DISCHARGE RELATIONSHIPS ACROSS A STREAM NETWORK
Concentration-discharge (c-Q) relationships provide fundamental insight into the mobilization and export of solutes from watersheds. The development of optical sensors have now enabled researchers to measure dissolved nutrients at a time scale that captures the variability in stream discharge. We analyzed both weekly grab-sample and high-frequency time series of stream solute-discharge relationships for ten streams to characterize the spatiotemporal variation in c-Q relationships. We used windowed regression analysis to produce c-Q slopes across 30-day time intervals for 3-5 years of data. Within- and among streams, the c-Q slopes for nitrate, ammonia, dissolved organic nitrogen, total dissolved nitrogen, and fluorescent dissolved organic matter differed, suggesting varied biogeochemical controls over transport. Redundancy analysis revealed that 58% of the variation in c-Q slope was explained by watershed characteristics. c-Q slopes calculated at an annual timeframe misclassified streams 36% of the time missing seasonal and event induced shifts in c-Q dynamics. This suggests that sample frequency can impact how hydrologic systems are characterized and that intra-annual assessment of c-Q dynamics using high frequency data provides information on the processes controlling solute transport in complex environments.
- Watershed
- Nitrogen
- Carbon
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Presenters/Authors
Hannah Fazekas
(), University of New Hampshire, hannah.fazekas@unh.edu;
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Adam Wymore
(), University of New Hampshire, adam.wymore@unh.edu;
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William H. McDowell
(), University of New Hampshire, bill.mcdowell@unh.edu;
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