Source Molecular Corporation was one of the presenters at the 2016 American Water Resources Association or AWRA Conference held at the Florida Hotel Conference Center in Orlando, Florida, from November 13 to 17, 2016.
The AWRA Conference attracted more than 500 people and had a technical program of more than 280 oral presentations and 30 posters, in addition to plenary talks from some of the nation’s leading water resources experts. Attendees include engineers, educators, economists, planners, foresters, biologists, soil scientists, ecologists, geographers, chemists, managers, regulators, physicists, hydrologists, geologists, limnologists, attorneys, GIS professionals and students.
James Herrin, Source Molecular’s project manager, was a speaker in the session related to bacteria and water quality, which was moderated by Jennifer E. Clemente of the Florida Department of Health Sarasota County. Mr. Herrin gave a presentation on “Evidence-based Guidelines for Microbial Source Tracking Projects.” He explained the advantages of MST over traditional fecal indicator methods, how to craft an effective MST project, and cited lessons learned from case studies.
Other presentations in the same session dealt with bacteria monitoring in near-shore waters at Florida beaches: case studies of frequency and duration of high bacteria events; quantitative relationship between environmental factors and bacteria in near-shore marine waters; assessment of Bacteria sources allocation and conservation practices for water quality enhancement in Arroyo, Colorado using swat model; and continuous monitoring for harmful algal blooms.
Source Molecular is holding a follow-up webinar on November 29, 2016 at 2:00 PM EST for AWRA attendees who missed the initial presentation or would like to ask some additional questions. During the 20-minute webinar, Mr. Herrin will talk about what is MST and why is it useful; practical advice from 200+ projects, using the newest U.S. EPA patented/developed methods for MST, and advances in digital PCR and direct pathogen detection.