Autonomous in situ measurements of freshwater alkalinity

• Published in: Limnology and Oceanography: Methods
• Main Authors: Shangguan, Qipei, Lai, Chun‐Ze, Beatty, Cory M., Young, Fischer L., Spaulding, Reggie S., DeGrandpre, Michael D.
• Other Authors: National Science Foundation, University of Montana
• Format: Article in Journal/Newspaper
• Language: English
• Published: Wiley 2020
• Subjects: sami
• Online Access: http://dx.doi.org/10.1002/lom3.10404; https://onlinelibrary.wiley.com/doi/pdf/10.1002/lom3.10404; https://onlinelibrary.wiley.com/doi/full-xml/10.1002/lom3.10404; https://aslopubs.onlinelibrary.wiley.com/doi/pdf/10.1002/lom3.10404

Abstract Total alkalinity (A T ) is an important parameter in the study of aquatic biogeochemical cycles, chemical speciation modeling, and many other important fundamental and anthropogenic (e.g., industrial) processes. We know little about its short‐term variability, however, because studies are based on traditional bottle sampling typically with coarse temporal resolution. In this work, an autonomous A T sensor, named the Submersible Autonomous Moored Instrument for Alkalinity (SAMI‐alk), was tested for freshwater applications. A comprehensive evaluation was conducted in the laboratory using freshwater standards. The results demonstrated excellent precision and accuracy (± 0.1%–0.4%) over the A T range from 800 to 3000 μ mol L −1 . The system had no drift over an 8 d test and also demonstrated limited sensitivity to variations in temperature and ionic strength. Three SAMI‐alks were deployed for 23 d in the Clark Fork River, Montana, with a suite of other sensors. Compared to discrete samples, in situ accuracy for the three instruments were within 10–20 μ mol L −1 (0.3–0.6%), indicating good performance considering the challenges of in situ measurements in a high sediment, high biofouling riverine environment with large and rapid changes in temperature. These data reveal the complex A T dynamics that are typically missed by coarse sampling. We observed A T diel cycles as large as 60–80 μ mol L −1 , as well as a rapid change caused by a runoff event. Significant errors in inorganic carbon system modeling result if these short‐term variations are not considered. This study demonstrates both the feasibility of the technology and importance of high‐resolution A T measurements.