Work

Shale Gas Volunteer Monitoring Program: Data Results and Findings, Phase 1, 2010-2013

Public Deposited

©2016 Alliance for Aquatic Resource Monitoring. Shale Gas Data Volunteer Monitoring Program: Data Results and Findings, Phase 1, 2010 – 2013. Is licensed under the Creative Commons Attribution- NonCommercial-NoDerivatives 4.0 International license. http://creativecommons.org/licenses/by-nc-nd/4.0/ If you would like to use this content in other ways, please email: allarm@dickinson.edu

Shale gas volunteer monitoring efforts have multiplied in the Marcellus and Utica Shale region as concerned individuals and organizations seek to learn more about how shale gas development may impact their local streams. In 2010, the Alliance for Aquatic Resource Monitoring (ALLARM), an organization based at Dickinson College, developed a protocol for volunteers to monitor small streams for shale gas extraction impacts, specifically to detect pollution events. Since then, ALLARM has held 65 workshops and has trained over 2,000 volunteers in Pennsylvania, New York, and West Virginia to monitor water quality both instream and certified lab analysis (conductivity, barium, strontium, and total dissolved solids) and physical (stream stage and visual observations) parameters prior to, during, and after shale gas wells have been developed.


MLA citation style (9th ed.)

Shale Gas Volunteer Monitoring Program: Data Results and Findings, Phase 1, 2010-2013. . 2016. dickinson.hykucommons.org/concern/generic_works/2c041d39-9a9a-4ebb-baa0-cd9c405c5944?q=2010.

APA citation style (7th ed.)

(2016). Shale Gas Volunteer Monitoring Program: Data Results and Findings, Phase 1, 2010-2013. https://dickinson.hykucommons.org/concern/generic_works/2c041d39-9a9a-4ebb-baa0-cd9c405c5944?q=2010

Chicago citation style (CMOS 17, author-date)

Shale Gas Volunteer Monitoring Program: Data Results and Findings, Phase 1, 2010-2013. 2016. https://dickinson.hykucommons.org/concern/generic_works/2c041d39-9a9a-4ebb-baa0-cd9c405c5944?q=2010.

Note: These citations are programmatically generated and may be incomplete.