期刊
REGIONAL STUDIES IN MARINE SCIENCE
卷 12, 期 -, 页码 11-18出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.rsma.2017.02.008
关键词
pH; Sensor; Ion sensitive field effect transistor (ISFET) pH sensors; Acidification; Monitoring network
资金
- California State Water Resources Control Board
- National Science Foundation (NSF) through RAPID award [OCE1251573]
- NOAA ECOHAB program [NA11NOS4780030]
- NSF [OCE-1041038]
- David and Lucile Packard Foundation (MBARI)
- National Ocean Partnership Program
- Southern California Coastal Ocean Observing System (SCCOOS)
- Central and Northern California Coastal Ocean Observing System (CeNCOOS)
- Directorate For Geosciences [1232779, 1538602] Funding Source: National Science Foundation
- Division Of Ocean Sciences [1232779, 1538602] Funding Source: National Science Foundation
The accuracy and precision of ion sensitive field effect transistor (ISFET) pH sensors have been well documented, but primarily by ocean chemistry specialists employing the technology at single locations. Here we examine their performance in a network context through comparison to discrete measurements of pH, using different configurations of the Honeywell DuraFET pH sensor deployed in six coastal settings by operators with a range of experience. Experience of the operator had the largest effect on performance. The average difference between discrete and ISFET pH was 0.005 pH units, but ranged from -0.030 to 0.083 among operators, with more experienced operators within +/- 0.02 pH units of the discrete measurement. In addition, experienced operators achieved a narrower range of variance in difference between discrete bottle measurements and ISFET sensor readings compared to novice operators and novice operators had a higher proportion of data failing quality control screening. There were no statistically significant differences in data uncertainty associated with sensor manufacturer or deployment environment (pier-mounted, flowthrough system, and buoy-mounted). The variation we observed among operators highlights the necessity of best practices and training when instruments are to be used in a network where comparison across data streams is desired. However, while opportunities remain for improving the performance of the ISFET sensors when deployed by less experienced operators, the uncertainty associated with their deployment and validation was several-fold less than the observed natural temporal variability in pH, demonstrating the utility of these sensors in tracking local changes in acidification. (C) 2017 Elsevier B.V. All rights reserved.
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