IGSNRR OpenIR
Quantification of nitrate sources and fates in rivers in an irrigated agricultural area using environmental isotopes and a Bayesian isotope mixing model
Zhang, Yan1; Shi, Peng2; Li, Fadong3,4; Wei, Anlei1; Song, Jinxi1; Ma, Junjie1
2018-10-01
Source PublicationCHEMOSPHERE
ISSN0045-6535
Volume208Pages:493-501
Corresponding AuthorLi, Fadong(lifadong@igsnrr.ac.cn)
AbstractNitrate (NO3-) pollution in rivers caused by intensive human activities is becoming a serious problem in irrigated agricultural areas. To identify NO3- sources and reveal the impact of irrigation projects on NO3- pollution in rivers, the hydrochemistry and isotopes of irrigation water from the Yellow River (IW) and river water (RW), and potential source samples were analyzed. The mean NOT concentrations in the IW and RW were 24.4 mg/L and 49.9 mg/L, respectively. Approximately 45.2% of RW samples (n = 31) exceeded the Chinese drinking water standard for NO3- (45 mg/L). The delta N-15 and delta O-18 values, combined with the C1(-)/Na+, SO42-/Ca2+ ratio distributions, indicate that the NO(3)(-)in the RW mainly originated from chemical fertilizers, manure and sewage. A Bayesian model showed that manure and sewage contributed the most to the overall NO3- levels of the IW. In the RW, chemical fertilizers and IW contributed the most to the overall NO3- levels. The mean nitrate contribution to the RW from the combination of chemical fertilizers and IW is estimated to be 51.6%. Nitrogen from manure and sewage, soil N and precipitation also contributed. The NO3- pollution in rivers was largely influenced by the irrigation regime, with a large amount of nitrogen in chemical fertilizer lost because of low utilization efficiency and subsequent transfer, via irrigation runoff, into the rivers. This study suggests that with a detailed assessment of the sources and fate of NO3- , effective reduction strategies and better management practices can be implemented to control NO3- pollution in rivers. (C) 2018 Elsevier Ltd. All rights reserved.
KeywordNitrate pollution River Irrigation water Irrigated agricultural region
DOI10.1016/j.chemosphere.2018.05.164
WOS KeywordNORTH CHINA PLAIN ; SOURCE APPORTIONMENT ; NITROGEN-FERTILIZER ; SHANDONG PROVINCE ; SURFACE-WATER ; YELLOW-RIVER ; DUAL-ISOTOPE ; MANAGEMENT ; POLLUTION ; IMPACTS
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[41601017] ; National Natural Science Foundation of China[41271047] ; National Natural Science Foundation of China[41601092] ; National Natural Science Foundation of China[51208424] ; Natural Science Foundation Research Project of Shaanxi Province[2017JQ4001] ; Program for Key Science and Technology Innovation Team in Shaanxi Province[2014KCT-27]
Funding OrganizationNational Natural Science Foundation of China ; Natural Science Foundation Research Project of Shaanxi Province ; Program for Key Science and Technology Innovation Team in Shaanxi Province
WOS Research AreaEnvironmental Sciences & Ecology
WOS SubjectEnvironmental Sciences
WOS IDWOS:000441999400056
PublisherPERGAMON-ELSEVIER SCIENCE LTD
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/54385
Collection中国科学院地理科学与资源研究所
Corresponding AuthorLi, Fadong
Affiliation1.Northwest Univ, Coll Urban & Environm Sci, Shaanxi Key Lab Earth Surface Syst & Environm Cap, Xian 710127, Shaanxi, Peoples R China
2.Xian Univ Technol, State Key Lab Ecohydraul Northwest Arid Reg China, Xian 710048, Shaanxi, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China
4.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Zhang, Yan,Shi, Peng,Li, Fadong,et al. Quantification of nitrate sources and fates in rivers in an irrigated agricultural area using environmental isotopes and a Bayesian isotope mixing model[J]. CHEMOSPHERE,2018,208:493-501.
APA Zhang, Yan,Shi, Peng,Li, Fadong,Wei, Anlei,Song, Jinxi,&Ma, Junjie.(2018).Quantification of nitrate sources and fates in rivers in an irrigated agricultural area using environmental isotopes and a Bayesian isotope mixing model.CHEMOSPHERE,208,493-501.
MLA Zhang, Yan,et al."Quantification of nitrate sources and fates in rivers in an irrigated agricultural area using environmental isotopes and a Bayesian isotope mixing model".CHEMOSPHERE 208(2018):493-501.
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