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Maximizing the Value of Existing Monitoring Technologies: Stream Temperature and Dissolved Oxygen as Best Case Examples
Oral Presentation
Prepared by B. Rose
USEPA Office of Water, 1200 Pennsylvania Avenue, N.W., Washington, DC, 20460
Contact Information: rose.bob@epa.gov; 202-564-0322
ABSTRACT
It is proposed that maximizing the value of any given water quality monitoring technology requires uniquely addressing technology dissemination, field labor logistics, data handling, and data analysis for each unique monitoring technology. As result there is likely a significant gap between the volume, quality, cost, and use of monitoring data versus the true potential, even for current technologies. As a best case example a stream temperature monitoring pilot in 2012 demonstrated the potential for very low cost technology to create statistically robust (high certainty) baselines within three months. The pilot exemplified the value and need to correlate water quality data against climatic variables where possible. A second water quality parameter, dissolved oxygen, was explored using publicly available data. An analysis technique is proposed for dissolved oxygen in free flowing streams, which was found to provide the most statistically robust results for the data analyzed. Based on these two experiences, conceptual discussion of potential information technology solutions is provided with the goal of minimized cost and maximized value.
Oral Presentation
Prepared by B. Rose
USEPA Office of Water, 1200 Pennsylvania Avenue, N.W., Washington, DC, 20460
Contact Information: rose.bob@epa.gov; 202-564-0322
ABSTRACT
It is proposed that maximizing the value of any given water quality monitoring technology requires uniquely addressing technology dissemination, field labor logistics, data handling, and data analysis for each unique monitoring technology. As result there is likely a significant gap between the volume, quality, cost, and use of monitoring data versus the true potential, even for current technologies. As a best case example a stream temperature monitoring pilot in 2012 demonstrated the potential for very low cost technology to create statistically robust (high certainty) baselines within three months. The pilot exemplified the value and need to correlate water quality data against climatic variables where possible. A second water quality parameter, dissolved oxygen, was explored using publicly available data. An analysis technique is proposed for dissolved oxygen in free flowing streams, which was found to provide the most statistically robust results for the data analyzed. Based on these two experiences, conceptual discussion of potential information technology solutions is provided with the goal of minimized cost and maximized value.