[Esip-envirosensing] Fw: EnviroSensing March Cluster Meeting: Tuesday March 5th at 5pm ET/ 2pm PT

[Pignatelli, Anthony]

Reminder that we have a Cluster Meeting tomorrow! See below for more information.

Cheers,
Anthony

Anthony J. Pignatelli, M.S.
Doctoral Researcher | Dallas Lab
ESIP Community Fellow | Envirosensing Cluster
Department of Biological Sciences
University of South Carolina
Email: pignatea at email.sc.edu
Office: Earth & Water Science Building 601

________________________________
From: Pignatelli, Anthony
Sent: Wednesday, February 28, 2024 10:14 AM
To: esip-envirosensing at lists.esipfed.org <esip-envirosensing at lists.esipfed.org>
Subject: EnviroSensing March Cluster Meeting: Tuesday March 5th at 5pm ET/ 2pm PT


Hello EnviroSensors,

Remember to request your free Workshop loaner kit!

https://bit.ly/EnviroSensing24WS


We welcome Dr. Claire Welty to our next meeting in March: Tuesday March 5th at 5:00 pm EST (2:00 pm PST). See below for zoom link!

Deployment of a dense network of Onset Tidbits in an urban stream network to quantify watershed-scale thermal response to stormwater inputs

Claire Welty, Andrew Miller, Mary McWilliams, John Lagrosa, and Nick Simeone Center for Urban Environmental Research and Education, University of Maryland, Baltimore County


Maryland regulatory agencies are considering establishment of a TMDL for stream temperature. Toward that end, there is an interest in quantifying the effects of stormwater BMPs vs uncontrolled storm runoff to determine impacts on stream thermal regime. To assist in this assessment, we have deployed 204 HOBO TidbiT MX 2203 temperature data loggers over all 16 km of daylighted segments of Dead Run in Baltimore County, MD as a case study. Sensor spacing varies between 50 and 100 m, with additional sensors placed ~2 m downstream of every stormwater management facility. The sensors are secured to the streambed using a system of rebar, snap hooks, and zip ties. Data are recorded every 5 minutes, with data collection having started in December 2021. Data retrieval via Bluetooth technology requires hiking the stream and removing the sensors for download. All downloaded data are stored at UMBC in a relational database. A GIS-based algorithm has been developed to video-animate the data. Quantitative analysis reveals that the greatest contrast between baseflow temperature and peak runoff temperature is observed at stormwater pipe outfalls draining buried headwater streams, where the drainage system collects hot runoff via street inlets during storms. The stream temperature variability due to storm runoff collapses moving toward the main stem outlet. Contributions to stream thermal load from stormwater management facilities appear to be no greater than that from the abundant outfalls from pipes draining directly connected impervious area. This work has been supported by Chesapeake Bay Trust.


Speaker Biography:

Dr. Claire Welty is Director of the Center for Urban Environmental Research and Education and Professor of Chemical, Biochemical, and Environmental Engineering at University of Maryland, Baltimore County (UMBC). Her research focuses on quantifying the urban water cycle and biogeochemical fluxes at multiple scales, using a combination of mathematical modeling and field observations. She hosts the field headquarters of the Baltimore Ecosystem Study Long-Term Ecological Research project. Dr. Welty is the lead PI on the Urban Critical Zone Cluster in NSF’s Critical Zone Collaborative Network and co-PI on the DOE’s Baltimore Social-Environmental Collaborative Integrated Field Laboratory.




Join Zoom Meeting:

https://esipfed-org.zoom.us/j/85237873060?pwd=YXJpSldadkdGR3hGL1EwR3NQcTVFUT09



Meeting ID: 852 3787 3060

Passcode: 534639



Warm regards,

Anthony, Joe, Dan, and James


Thank you Jake, Martha, Scotty!



Anthony J. Pignatelli, M.S.
Doctoral Researcher | Dallas Lab
ESIP Community Fellow | Envirosensing Cluster
Department of Biological Sciences
University of South Carolina
Email: pignatea at email.sc.edu
Office: Earth & Water Science Building 601
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