Engineering Commons^™

Water Data Science: Data Driven Techniques, Training, And Tools For Improved Management Of High Frequency Water Resources Data, Amber Spackman Jones

All Graduate Theses and Dissertations, Fall 2023 to Present

Electronic sensors can measure water and climate conditions at high frequency and generate large quantities of observed data. This work addresses data management challenges associated with the volume and complexity of high frequency water data. We developed techniques for automatically reviewing data, created materials for training water data managers, and explored existing and emerging technologies for sensor data management.

Data collected by sensors often include errors due to sensor failure or environmental conditions that need to be removed, labeled, or corrected before the data can be used for analysis. Manual review and correction of these data can be tedious and …