Location
Grand Rapids, Michigan
Start Date
16-5-2024 11:30 AM
End Date
16-5-2024 12:00 PM
Description
EPRI Research on Innovative Techniques for Alternative Source Demonstrations Authors Mr. Bruce Hensel - United States - Electric Power Research Institute Dr. Charles Cravotta III - United States - United States Geological Survey Mr. Michael Pribil - United States - United States Geological Survey Dr. Christopher Bagwell - United States - Pacific Northwest National Laboratory Mr. R. Jeffrey Davis - United States - INTEGRAL CONSULTING INC. Mr. Jared Carte - United States - United States Geological Survey Mr. Danny Rutherford - United States - United States Geological Survey Dr. Frederick Day-Lewis - United States - Pacific Northwest National Laboratory Ms. Melanie Edwards - United States - INTEGRAL CONSULTING INC. Abstract We are conducting research to support innovative and advanced methods for alternative source demonstrations (ASDs). Task 1 is sampling and analysis of background groundwater and coal combustion product (CCP) porewater samples at 14 CCP management sites to analyze for microbiological signatures and isotopes of boron, lithium, strontium, and sulfur so that open-access databases can be constructed. Multiple samples will be collected at most of these sites to evaluate spatial variability in microbiological and isotopic signatures. In addition, some sites were previously sampled for a subset of the isotopes and this research will provide information on temporal trends. Task 2 will apply the chemical and microbiological signatures, and use advanced statistics and machine learning techniques to perform ASDs at 5 of the 14 sites. The datasets for porewater and groundwater chemistry, isotopic composition, and microbiological signatures will be compared for similarity and differences spatially across each site and between sites. This task will provide information on conditions where the data and interpretation methods are most useful for distinguishing influence from CCP on the surrounding environment, as well as limitations. This task will also provide information to support comprehensive documentation of the methods.
Document Type
Event
EPRI Research on Innovative Techniques for Alternative Source Demonstrations
Grand Rapids, Michigan
EPRI Research on Innovative Techniques for Alternative Source Demonstrations Authors Mr. Bruce Hensel - United States - Electric Power Research Institute Dr. Charles Cravotta III - United States - United States Geological Survey Mr. Michael Pribil - United States - United States Geological Survey Dr. Christopher Bagwell - United States - Pacific Northwest National Laboratory Mr. R. Jeffrey Davis - United States - INTEGRAL CONSULTING INC. Mr. Jared Carte - United States - United States Geological Survey Mr. Danny Rutherford - United States - United States Geological Survey Dr. Frederick Day-Lewis - United States - Pacific Northwest National Laboratory Ms. Melanie Edwards - United States - INTEGRAL CONSULTING INC. Abstract We are conducting research to support innovative and advanced methods for alternative source demonstrations (ASDs). Task 1 is sampling and analysis of background groundwater and coal combustion product (CCP) porewater samples at 14 CCP management sites to analyze for microbiological signatures and isotopes of boron, lithium, strontium, and sulfur so that open-access databases can be constructed. Multiple samples will be collected at most of these sites to evaluate spatial variability in microbiological and isotopic signatures. In addition, some sites were previously sampled for a subset of the isotopes and this research will provide information on temporal trends. Task 2 will apply the chemical and microbiological signatures, and use advanced statistics and machine learning techniques to perform ASDs at 5 of the 14 sites. The datasets for porewater and groundwater chemistry, isotopic composition, and microbiological signatures will be compared for similarity and differences spatially across each site and between sites. This task will provide information on conditions where the data and interpretation methods are most useful for distinguishing influence from CCP on the surrounding environment, as well as limitations. This task will also provide information to support comprehensive documentation of the methods.
