Assessing the sources and magnitude of diurnal nitrate variability in the San Joaquin River (California) with an in situ optical nitrate sensor and dual nitrate isotopes
1. We investigated diurnal nitrate (NO₃⁻) concentration variability in the San Joaquin River using an in situ optical NO₃⁻ sensor and discrete sampling during a 5-day summer period characterized by high algal productivity. Dual NO₃⁻ isotopes (δ¹⁵NNO₃ and δ¹⁸ONO₃) and dissolved oxygen isotopes (δ¹⁸OD...
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Veröffentlicht in: | Freshwater biology 2009-02, Vol.54 (2), p.376-387 |
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Sprache: | eng |
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Zusammenfassung: | 1. We investigated diurnal nitrate (NO₃⁻) concentration variability in the San Joaquin River using an in situ optical NO₃⁻ sensor and discrete sampling during a 5-day summer period characterized by high algal productivity. Dual NO₃⁻ isotopes (δ¹⁵NNO₃ and δ¹⁸ONO₃) and dissolved oxygen isotopes (δ¹⁸ODO) were measured over 2 days to assess NO₃⁻ sources and biogeochemical controls over diurnal time-scales. 2. Concerted temporal patterns of dissolved oxygen (DO) concentrations and δ¹⁸ODO were consistent with photosynthesis, respiration and atmospheric O₂ exchange, providing evidence of diurnal biological processes independent of river discharge. 3. Surface water NO₃⁻ concentrations varied by up to 22% over a single diurnal cycle and up to 31% over the 5-day study, but did not reveal concerted diurnal patterns at a frequency comparable to DO concentrations. The decoupling of δ¹⁵NNO₃ and δ¹⁸ONO₃ isotopes suggests that algal assimilation and denitrification are not major processes controlling diurnal NO₃⁻ variability in the San Joaquin River during the study. The lack of a clear explanation for NO₃⁻ variability likely reflects a combination of riverine biological processes and time-varying physical transport of NO₃⁻ from upstream agricultural drains to the mainstem San Joaquin River. 4. The application of an in situ optical NO₃⁻ sensor along with discrete samples provides a view into the fine temporal structure of hydrochemical data and may allow for greater accuracy in pollution assessment. |
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ISSN: | 0046-5070 1365-2427 |
DOI: | 10.1111/j.1365-2427.2008.02111.x |