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Identification of sources and transformations of nitrate in the Xijiang River using nitrate isotopes and Bayesian model
Cai Li; Si-Liang Li; Fu-Jun Yue; Jing Liu; Jun Zhong; Zhi-Feng Yan; Ruo-Chun Zhang; Zhong-Jun Wang; Sen Xu
2019
Source PublicationScience of the Total Environment
Volume646Pages:801-810
Abstract

Coupled nitrogen and oxygen isotopes of nitrate have proven useful in identifying nitrate sources and transformation in rivers. However, isotopic fractionation and low-resolution monitoring limit the accurate estimation of nitrate dynamics. In the present study, the spatio-temporal variations of nitrate isotopes (N-15 and O-18) and hydrochemical compositions (NO3- and Cl-) of river water were examined to understand nitrate sources in the Xijiang River, China. High-frequency sampling campaigns and isotopic analysis were performed at the mouth of the Xijiang River to capture temporal nitrate variabilities. The overall values of delta N-15-NO3- and delta O-18-NO3- ranged from +4.4% to +14.1% and from -0.3% to +6.8%, respectively. The results of nitrate isotopes indicated that NO3- mainly originated from soil organic nitrogen (SON), chemical fertilizer (CF), and manure and sewage wastes (M&S). The negative correlation of nitrate isotopic valueswith NO3-/Cl- ratios suggested the importance of denitrification in NO3- loss. The results of Bayesianmodel with incorporation of isotopic fractionation during the denitrification showed that SON and CF contributed to the most (72-73%) nitrate in the wet season; whereas approximately 58% of nitrate was derived from anthropogenic inputs (M&S and CF) in the dry season. The nitrate flux was 2.08 x 10(5) tons N yr(-1) during one hydrologic year between 2013 and 2014, with 86% occurring in the wet season. Long-term fluctuations in nitrate flux indicated that nitrate export increased significantly over the past 35 years, and was significantly correlated with nitrate concentrations. The seasonal pattern of nitrate dynamics indicated the mixing of nitrified NO3- and denitrified NO3- between surface flow and groundwater flow under different hydrological conditions. Overall, the present study quantitatively evaluates the spatio-temporal variations in nitrate sources in a subtropical watershed, and the high-frequency monitoring gives a better estimate of nitrate exports and proportional contributions of nitrate sources. 

KeywordNitrate Isotopes source Apportionment denitrification bayesian Model xijiang River
Indexed BySCI
Language英语
Document Type期刊论文
Identifierhttp://ir.gyig.ac.cn/handle/42920512-1/8878
Collection环境地球化学国家重点实验室
Affiliation1.Institute of Surface-Earth System Science, Tianjin University, Tianjin 300072, China
2.School of Geographical and Earth Sciences, University of Glasgow, Glasgow G12 8QQ, United Kingdom
3.School of Management Science, Guizhou University of Finance and Economics, Guiyang 550025, China
4.State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550081, China
Recommended Citation
GB/T 7714
Cai Li,Si-Liang Li,Fu-Jun Yue,et al. Identification of sources and transformations of nitrate in the Xijiang River using nitrate isotopes and Bayesian model[J]. Science of the Total Environment,2019,646:801-810.
APA Cai Li.,Si-Liang Li.,Fu-Jun Yue.,Jing Liu.,Jun Zhong.,...&Sen Xu.(2019).Identification of sources and transformations of nitrate in the Xijiang River using nitrate isotopes and Bayesian model.Science of the Total Environment,646,801-810.
MLA Cai Li,et al."Identification of sources and transformations of nitrate in the Xijiang River using nitrate isotopes and Bayesian model".Science of the Total Environment 646(2019):801-810.
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