Riverine nitrate source identification combining δ15N/δ18O-NO3- with Δ17O-NO3- and a nitrification 15N-enrichment factor in a drinking water source region

doi:10.1016/j.scitotenv.2024.170617

科研成果详情

题名	Riverine nitrate source identification combining δ15N/δ18O-NO3- with Δ17O-NO3- and a nitrification 15N-enrichment factor in a drinking water source region
作者	Lielin Shu1; Wenli Chen1; Yinli Liu 1; Xu Shang2; Yue Yang 3; Randy A Dahlgren 4; Zheng Chen5; Minghua Zhang6; Xiaoliang Ji7
发表日期	2024-03-25
发表期刊	The Science of the total environment 影响因子和分区
语种	英语
原始文献类型	Journal Article
关键词	(17)O anomaly Enrichment factor MixSIAR model Nitrate source apportionment Stable isotopes
摘要	Dual nitrate isotopes (δ15N/δ18O-NO3-) are an effective tool for tracing nitrate sources in freshwater systems worldwide. However, the initial δ15N/δ18O values of different nitrate sources might be altered by isotopic fractionation during nitrification, thereby limiting the efficiency of source apportionment results. This study integrated hydrochemical parameters, site-specific isotopic compositions of potential nitrate sources, multiple stable isotopes (δD/δ18O-H2O, δ15N/δ18O-NO3- and Δ17O-NO3-), soil incubation experiments assessing the nitrification 15N-enrichment factor (εN), and a Bayesian mixing model (MixSIAR) to reduce/eliminate the influence of 15N/18O-fractionations on nitrate source apportionment. Surface water samples from a typical drinking water source region were collected quarterly (June 2021 to March 2022). Nitrate concentrations ranged from 0.35 to 3.06 mg/L (mean = 0.78 ± 0.46 mg/L), constituting ∼70 % of total nitrogen. A MixSIAR model was developed based on δ15N/δ18O-NO3- values of surface waters and the incorporation of a nitrification εN (-6.9 ± 1.8 ‰). Model source apportionment followed: manure/sewage (46.2 ± 10.7 %) > soil organic nitrogen (32.3 ± 18.5 %) > nitrogen fertilizer (19.7 ± 13.1 %) > atmospheric deposition (1.8 ± 1.6 %). An additional MixSIAR model coupling δ15N/δ18O-NO3- with Δ17O-NO3- and εN was constructed to estimate the potential nitrate source contributions for the June 2021 water samples. Results revealed similar nitrate source contributions (manure/sewage = 43.4 ± 14.1 %, soil organic nitrogen = 29.3 ± 19.4 %, nitrogen fertilizer = 19.8 ± 13.8 %, atmospheric deposition = 7.5 ± 1.6 %) to the original MixSIAR model based on εN and δ15N/δ18O-NO3-. Finally, an uncertainty analysis indicated the MixSIAR model coupling δ15N/δ18O-NO3- with Δ17O-NO3- and εN performed better as it generated lower uncertainties with uncertainty index (UI90) of 0.435 compared with the MixSIAR model based on δ15N/δ18O-NO3- (UI90 = 0.522) and the MixSIAR model based on δ15N/δ18O-NO3- and εN (UI90 = 0.442)
资助项目	Science and Technology Project of Wenzhou Science and Technology Bureau[S20220014];Wenzhou Medical University[KYYW202220];National Natural Science Foundation of China[42307104,51979197];Natural Science Foundation of Zhejiang Province[LTGS23D030002];
ISSN	0048-9697
EISSN	1879-1026
卷号	918
DOI	10.1016/j.scitotenv.2024.170617
收录类别	PUBMED ; SCOPUS
URL	查看原文
Pubmed记录号	38311089
Scopus记录号	2-s2.0-85184029953
引用统计
文献类型	期刊论文
条目标识符	https://kms.wmu.edu.cn/handle/3ETUA0LF/207550
专题	公共卫生与管理学院
作者单位	1.Key Laboratory of Watershed Science and Health of Zhejiang Province, School of Public Health and Management, Wenzhou Medical University, Wenzhou 325035, China.; 2.Key Laboratory of Watershed Science and Health of Zhejiang Province, School of Public Health and Management, Wenzhou Medical University, Wenzhou 325035, China; Southern Zhejiang Water Research Institute (iWATER), Wenzhou 325035, China.; 3.Zhejiang Provincial Key Laboratory for Water Environment and Marine Biological Resources Protection, College of Life and Environmental Science, Wenzhou University, Wenzhou 325035, China; Southern Zhejiang Water Research Institute (iWATER), Wenzhou 325035, China.; 4.Department of Land, Air and Water Resources, University of California, Davis, California 95616, USA.; 5.Key Laboratory of Watershed Science and Health of Zhejiang Province, School of Public Health and Management, Wenzhou Medical University, Wenzhou 325035, China. Electronic address: chenzheng_new@163.com.; 6.Key Laboratory of Watershed Science and Health of Zhejiang Province, School of Public Health and Management, Wenzhou Medical University, Wenzhou 325035, China; Department of Land, Air and Water Resources, University of California, Davis, California 95616, USA.; 7.Key Laboratory of Watershed Science and Health of Zhejiang Province, School of Public Health and Management, Wenzhou Medical University, Wenzhou 325035, China. Electronic address: jixiao556677@wmu.edu.cn.
第一作者单位	公共卫生学院
第一作者的第一单位	公共卫生学院
推荐引用方式 GB/T 7714	Lielin Shu,Wenli Chen,Yinli Liu,et al. Riverine nitrate source identification combining δ15N/δ18O-NO3- with Δ17O-NO3- and a nitrification 15N-enrichment factor in a drinking water source region[J]. The Science of the total environment,2024,918.
APA	Lielin Shu., Wenli Chen., Yinli Liu., Xu Shang., Yue Yang., ... & Xiaoliang Ji. (2024). Riverine nitrate source identification combining δ15N/δ18O-NO3- with Δ17O-NO3- and a nitrification 15N-enrichment factor in a drinking water source region. The Science of the total environment, 918.
MLA	Lielin Shu,et al."Riverine nitrate source identification combining δ15N/δ18O-NO3- with Δ17O-NO3- and a nitrification 15N-enrichment factor in a drinking water source region".The Science of the total environment 918(2024).