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Published on: January 22, 2018
Nitrate source apportionments in the South Han River basin and its main tributaries using multi-isotopes and Bayesian
Hyeongseok Song1, Kwang-Sik Lee2, Nohsung Jeong3
1Graduate School of Analytical Science and Technology, Chungnam National University, Daejeon 34134, Republic of Korea; Chromatography and Mass Spectrometry Division, Thermo Fisher Scientific Korea, Seoul 06349, Republic of Korea.
None:
The nitrate apportionment approach provides valuable insights into efficient water quality management. Water samples were collected from the South Han River (SHR), and the three tributaries of the SHR showed relatively high nutrient levels. Water samples were collected from the North Han River (NHR), another contaminated stream (Gyeongan Stream, GA), and wastewater treatment plants (WWTP). The objectives of this study were to identify the sources impacting water chemistry in the SHR and its tributaries, especially nitrate contaminants, and to estimate the apportionment of nitrate sources. Plots of SO4/Cl and NO3/Cl showed relatively low ratios for the tributary, GA, and WWTPs samples compared to those of the SHR and NHR. Interestingly, samples from the lowest reaches of a tributary showed considerably high SO4/Cl and low NO3/Cl, with distinct δ34S values, indicating a specific contaminant source in its watershed and subsequently influencing SHR water chemistry. The contributions of each source to nitrate in SHR and tributaries were estimated to be 58.9% to 93.3% and 0.2% to 95.7% for soil N and 15.9% to 40.3% and 4.1% to 99.4% for manure/domestic sewage, respectively, using a Bayesian isotope mixing model. These source contributions were not clearly consistent with the land-use patterns. δ11B related to δ15N-NO3 values for SHR samples indicate that domestic wastewater exerts a greater influence on water chemistry than agricultural inputs. We suggest a comprehensive approach for identifying nitrate contaminants in water using multiple isotopes, including nitrate isotopes, with a Bayesian isotope mixing model.
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