|Students setting up for the poster symposium at the CUAHSI Biennial Colloquium|
Getting trained on use of the EnviroDIY Mayfly logger by the folks @StroudCenter. Awesome low-cost tech! #CUAHSI pic.twitter.com/nOho1E3bFl— Natalie Nelson (@natnels) July 26, 2016
|The Mayfly data logger and relevant accessories for implementation in environmental monitoring hardware systems. Images from envirodiy.org.|
|The SERC webpage on Data and Model Driven Hydrology Education created in collaboration with CUAHSI.|
CUAHSI researchers successfully received funding to create a module within SERC that includes problem sets for training the next generation of water scientists and engineers. I created and submitted an assignment on dissolved oxygen (DO) trends in the Lower St. Johns River. For this exercise, students download data from three locations along the Lower St. Johns (estuarine, transitional, upstream), and evaluate how the combination of hydrology and system biology produce distinct DO behavior at each of these three river reaches. Data are downloaded with CUAHSI’s HydroClient and evaluated using a Python-enabled Jupyter notebook that I created specifically for this assignment. If you’re interested in including this assignment as part of your curriculum, check out the assignment’s webpage and/or reach out to me! I’m happy to help implement the assignment, or directly teach it to your class. There are also other fantastic assignments included on the Data and Model Driven Hydrology Education webpage that I’m sure you will find useful and/or inspiring.
|Snapshot of the Jupyter notebook created as part of a Data and Model Driven Hydrology Education assignment.|