GYIG OpenIR  > 环境地球化学国家重点实验室
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
发表期刊Science of the Total Environment
卷号646页码:801-810
摘要

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. 

关键词Nitrate Isotopes source Apportionment denitrification bayesian Model xijiang River
收录类别SCI
语种英语
文献类型期刊论文
条目标识符http://ir.gyig.ac.cn/handle/42920512-1/8878
专题环境地球化学国家重点实验室
作者单位1.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
推荐引用方式
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.
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
Identification of so(2917KB)期刊论文作者接受稿开放获取CC BY-NC-SA浏览 下载
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Cai Li]的文章
[Si-Liang Li]的文章
[Fu-Jun Yue]的文章
百度学术
百度学术中相似的文章
[Cai Li]的文章
[Si-Liang Li]的文章
[Fu-Jun Yue]的文章
必应学术
必应学术中相似的文章
[Cai Li]的文章
[Si-Liang Li]的文章
[Fu-Jun Yue]的文章
相关权益政策
暂无数据
收藏/分享
文件名: Identification of sources and transformations of nitrate in the Xijiang River using nitrate isotopes and Bayesian model.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。