Ethanol enhanced bioremediation of nitrate-contaminated soil and groundwater
dc.contributor.author | Krahn, Vanessa | |
dc.contributor.examiningcommittee | Levin, David (Biosystems Engineering) Hollander, Hartmut (Civil Engineering) | en_US |
dc.contributor.supervisor | Sri Ranjan, Ramanathan (Biosystems Engineering) | en_US |
dc.date.accessioned | 2017-09-11T21:38:17Z | |
dc.date.available | 2017-09-11T21:38:17Z | |
dc.date.issued | 2017 | |
dc.degree.discipline | Biosystems Engineering | en_US |
dc.degree.level | Master of Science (M.Sc.) | en_US |
dc.description.abstract | Enhanced biodenitrification is a technique for remediation of nutrient impacts that uses electron donor amendments to stimulate the microbial community present in natural groundwater aquifers. This study evaluated ethanol as a carbon source to decrease elevated nutrients in groundwater and soil microcosms under cold climate conditions. Initial microcosm nutrient concentrations of ammonia-N, nitrate-N, and nitrite-N were 2010 mg/L, 1690 mg/L, and 118 mg/L, respectively. Ethanol treatments showed that the nitrate-N and nitrite-N concentrations decreased to non-detectable limits in 56 days and ammonia-N decreased by 48% in 231 days. A second experiment examined the effect of vadose zone ethanol injections into nutrient impacted soil columns. The study indicated the ethanol amendments degraded 1.3, 13.9, and 27.2% of nitrate-N concentrations in the three soil columns. However, the vadose zone showed a decrease of 92.4 to 99.4% due to displacement and degradation. Overall biodenitrification shows promise as a cost-effective remedial solution. | en_US |
dc.description.note | October 2017 | en_US |
dc.identifier.uri | http://hdl.handle.net/1993/32553 | |
dc.language.iso | eng | en_US |
dc.rights | open access | en_US |
dc.subject | Biodenitrification | en_US |
dc.subject | Bioremediation | en_US |
dc.subject | Nutrient Impacts | en_US |
dc.title | Ethanol enhanced bioremediation of nitrate-contaminated soil and groundwater | en_US |
dc.type | master thesis | en_US |