REVIEW OF ISOTOPIC METHODS FOR NITRATE SOURCES IDENTIFICATION IN SURFACE AND GROUNDWATER
dc.contributor.author | Pei, Yunxuan | |
dc.contributor.chair | Russell-Anelli, Jonathan | |
dc.date.accessioned | 2022-03-08T18:54:19Z | |
dc.date.available | 2022-03-08T18:54:19Z | |
dc.date.issued | 2021-05 | |
dc.description.abstract | Nitrate pollution in surface and groundwater has become a worldwide environmental problem. For better water quality management, it’s important to know total NO3- loads and identify the proportional contributions from multiple NO3- sources. Stable isotopes of NO3-, the δ15N value and the δ18O value, have been frequently used to identify NO3- sources in water. However, due to complexity in the N cycle, mixing multiple sources and fractionation during biological processes often caused biased and uncertain results. One possible solution is to use SIAR, a linear mixing model running in R, to estimate the proportional contribution from multiple NO3- sources. Unfortunately, SIAR cannot distinguish manure and septic sources, which requires the analysis of other chemical components, such as sodium, caffeine. A research approach is proposed to pilot a unified method to identify NO3- sources, determine their isotopic signature, and estimate each source’s contribution by using the Fall Creek Watershed as a proof- of-concept study area. | |
dc.identifier.uri | https://hdl.handle.net/1813/111110 | |
dc.language.iso | en_US | |
dc.rights | Attribution 4.0 International | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.title | REVIEW OF ISOTOPIC METHODS FOR NITRATE SOURCES IDENTIFICATION IN SURFACE AND GROUNDWATER | |
dc.type | term paper | |
thesis.degree.level | Master of Professional Studies |
Files
Original bundle
1 - 1 of 1