Poonam R. Kulkarni
Colorado State University
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Publication
Featured researches published by Poonam R. Kulkarni.
Ground Water | 2014
Thomas E. McHugh; Poonam R. Kulkarni; Charles J. Newell; John A. Connor; Sanjay Garg
Quantifying the overall progress in remediation of contaminated groundwater has been a significant challenge. We utilized the GeoTracker database to evaluate the progress in groundwater remediation from 2001 to 2011 at over 12,000 sites in California with contaminated groundwater. This paper presents an analysis of analytical results from over 2.1 million groundwater samples representing at least
Soil and Sediment Contamination: An International Journal | 2015
Poonam R. Kulkarni; Thomas E. McHugh; Charles J. Newell; Sanjay Garg
100 million in laboratory analytical costs. Overall, the evaluation of monitoring data shows a large decrease in groundwater concentrations of gasoline constituents. For benzene, half of the sites showed a decrease in concentration of 85% or more. For methyl tert-butyl ether (MTBE), this decrease was 96% and for TBE, 87%. At remediation sites in California, the median source attenuation rate was 0.18/year for benzene and 0.36/year for MTBE, corresponding to half-lives of 3.9 and 1.9 years, respectively. Attenuation rates were positive (i.e., decreasing concentration) for benzene at 76% of sites and for MTBE at 85% of sites. An evaluation of sites with active remediation technologies suggests differences in technology effectiveness. The median attenuation rates for benzene and MTBE are higher at sites with soil vapor extraction or air sparging compared with sites without these technologies. In contrast, there was little difference in attenuation rates at sites with or without soil excavation, dual phase extraction, or in situ enhanced biodegradation. The evaluation of remediation technologies, however, did not evaluate whether specific systems were well designed or implemented and did not control for potential differences in other site factors, such as soil type.
Ground Water | 2016
Thomas E. McHugh; Poonam R. Kulkarni; Charles J. Newell
The objective of this study is to better understand the effect of mobile LNAPL on source-zone attenuation at sites using a statistical evaluation of 3,523 leaking underground fuel tank (LUFT) sites from GeoTracker, an extensive database of chemical release sites in California. Our analysis indicates that sites with mobile LNAPL (i.e., sites with measurable LNAPL thicknesses in one or more groundwater monitoring wells (LNAPL sites)) have higher maximum dissolved groundwater constituent concentrations and significantly slower source-zone attenuation rates (i.e., changes in maximum concentrations over time) compared to sites with a history of no measurable LNAPL thickness (non-LNAPL sites). However, the evaluation indicates that, for mobile LNAPL sites, physical recovery (skimming and bailing) does not increase source attenuation rates. The results suggest a need for more careful evaluation of the potential benefits of physical LNAPL technologies.
Ground Water Monitoring and Remediation | 2017
Sanjay Garg; Charles J. Newell; Poonam R. Kulkarni; David C. King; David T. Adamson; Maria Irianni Renno; Tom Sale
The National Research Council has estimated that over 126,000 contaminated groundwater sites are unlikely to achieve low ug/L clean-up goals in the foreseeable future. At these sites, cost-effective, long-term monitoring schemes are needed in order to understand the long-term changes in contaminant concentrations. Current monitoring optimization schemes rely on site-specific evaluations to optimize groundwater monitoring frequency. However, when using linear regression to estimate the long-term zero-order or first-order contaminant attenuation rate, the effect of monitoring frequency and monitoring duration on the accuracy and confidence for the estimated attenuation rate is not site-specific. For a fixed number of monitoring events, doubling the time between monitoring events (e.g., changing from quarterly monitoring to semi-annual monitoring) will double the accuracy of estimated attenuation rate. For a fixed monitoring frequency (e.g., semi-annual monitoring), increasing the number of monitoring events by 60% will double the accuracy of the estimated attenuation rate. Combining these two factors, doubling the time between monitoring events (e.g., quarterly monitoring to semi-annual monitoring) while decreasing the total number of monitoring events by 38% will result in no change in the accuracy of the estimated attenuation rate. However, the time required to collect this dataset will increase by 25%. Understanding that the trade-off between monitoring frequency and monitoring duration is not site-specific should simplify the process of optimizing groundwater monitoring frequency at contaminated groundwater sites.
Remediation Journal | 2013
James M. McDade; Poonam R. Kulkarni; M. Ahmad Seyedabbasi; Charles J. Newell; Deepa Gandhi; John D. Gallinatti; Virgilio Cocianni; DúBois J. Ferguson
Ground Water Monitoring and Remediation | 2017
Poonam R. Kulkarni; David C. King; Thomas E. McHugh; David T. Adamson; Charles J. Newell
Archive | 2016
Travis M. McGuire; David T. Adamson; Charles J. Newell; Poonam R. Kulkarni
Ground Water Monitoring and Remediation | 2016
Thomas E. McHugh; Poonam R. Kulkarni; Lila Beckley; Charles J. Newell; Marilyn Zumbro
Archive | 2015
Tom Sale; Emily Stockwell; Charles J. Newell; Poonam R. Kulkarni
Remediation Journal | 2013
M. Ahmad Seyedabbasi; Poonam R. Kulkarni; James M. McDade; Charles J. Newell; Deepa Gandhi; John D. Gallinatti; Virgilio Cocianni; DúBois J. Ferguson