
Since 1998, The Contaminated Site Clean-Up Information (CLU-IN) website has presented Internet Seminars covering a wide variety of technical topics related to hazardous waste characterization, monitoring, and remediation. For each seminar topic, we have selected the highest-quality offering for placement in our archives. Beginning in May 2005, we began offering these archives via podcast, and this... more
| Publishes | Weekly | Episodes | 42 | Founded | 14 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | Natural SciencesScience | |||

The Interstate Technology & Regulatory Council (ITRC) is presenting a training on the basics of per- and polyfluoroalkyl substances (PFAS) chemistry. This training supplements the ITRC PFAS Introductory training and ITRC Beyond the Basics Training se... more
The National Institute of Environmental Health Sciences (NIEHS) Superfund Research Program (SRP) is hosting a Risk e-Learning webinar series focused on the use of innovative, human-relevant technologies to better characterize the biological effects o... more
The National Institute of Environmental Health Sciences (NIEHS) Superfund Research Program (SRP) is hosting a Risk e-Learning webinar series focused on the use of innovative, human-relevant technologies to better characterize the biological effects o... more
The ITRC Managed Aquifer Recharge (MAR-1) Training is intended for state regulators and stakeholders who may not be familiar with the opportunities and challenges associated with MAR. It provides a basic understanding of MAR concepts, along with case... more
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #60 | |
Apple Podcasts | #192 |
Listeners, social reach, demographics and more for this podcast.
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| Interests | Professions | Age Range | |||
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Contaminated Site Clean-Up Information launched 14 years ago and published 42 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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