View in EDS

Application of Isotopic Method to Identify the Sources of Nitrate in Freshwater: Principles, Biases, and Optimizations.

Saved in:
Bibliographic Details
Title: Application of Isotopic Method to Identify the Sources of Nitrate in Freshwater: Principles, Biases, and Optimizations.
Authors: Liu, Deze1 (AUTHOR), Song, Linlin2 (AUTHOR), Wang, Xueyan3 (AUTHOR), Zhou, Xulun4 (AUTHOR), Wang, Fangna4 (AUTHOR), Yu, Haoming5 (AUTHOR), Duan, Yihang4,6 (AUTHOR), Su, Chenxia4,7 (AUTHOR), Tu, Ying4 (AUTHOR), Wang, Ang4 (AUTHOR) wangang@iae.ac.cn
Source: Water Environment Research (10614303). Apr2026, Vol. 98 Issue 4, p1-20. 20p.
Subjects: Nitrates, Isotopic analysis, Aquatic habitats, Statistical bias, Isotopic fractionation, Water quality management, Water pollution point source identification, Bayesian analysis
Abstract: Accurate identification of nitrate sources in aquatic environments is vital for implementing effective measures to prevent and control nitrate pollution. The combination of isotopes of nitrate with Bayesian models has proven effective in tracing nitrate pollution sources in aquatic environments. Nevertheless, broad systematic errors in both qualitative and quantitative assessments lead to significant uncertainties in quantifying the contributions of nitrate sources. This review initiates by outlining the fundamental principles and procedures of employing nitrate isotopes in conjunction with Bayesian models. It further consolidates the empirically determined values for two pivotal parameters, isotope abundances and effects, within these models and provides a detailed analysis of their spatial and temporal variability sources. Then it meticulously dissects the origins of systematic errors encountered in applying this technique, including overlooking isotope effects, disregarding the spatiotemporal variability of isotopes, and failing to validate whether data conform to the normal distribution assumption inherent in Bayesian models. Subsequently, the review compiles and discusses emerging strategies from both qualitative, including emerging isotopes that increase the precision of source identification, fecal‐specific indicators, statistical tools, and fluorescence spectrum methods, and quantitative, including mathematical methods and/or their combination with mass balance models perspectives to mitigate these systematic errors. It also forecasts the trajectory of development within this technical domain. By examining the application of isotope technology for nitrate source identification from multiple angles, this review offers theoretical references for the prevention, control, and mitigation of nitrate in water, as well as for the formulation and implementation of pertinent policies by regulatory authorities. Summary: Nitrate isotopic abundances and fractionation were compiled and analyzed.Error sources in interpreting nitrate sources in aquatic environments were proposed.New methods for identifying nitrate sources in aquatic environments were summarized.Outlook on the application of Bayesian models for identifying nitrate sources in aquatic environments. [ABSTRACT FROM AUTHOR]
Copyright of Water Environment Research (10614303) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 193279365
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Application of Isotopic Method to Identify the Sources of Nitrate in Freshwater: Principles, Biases, and Optimizations.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Liu%2C+Deze%22">Liu, Deze</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Song%2C+Linlin%22">Song, Linlin</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Xueyan%22">Wang, Xueyan</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhou%2C+Xulun%22">Zhou, Xulun</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Fangna%22">Wang, Fangna</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yu%2C+Haoming%22">Yu, Haoming</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Duan%2C+Yihang%22">Duan, Yihang</searchLink><relatesTo>4,6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Su%2C+Chenxia%22">Su, Chenxia</searchLink><relatesTo>4,7</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tu%2C+Ying%22">Tu, Ying</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Ang%22">Wang, Ang</searchLink><relatesTo>4</relatesTo> (AUTHOR)<i> wangang@iae.ac.cn</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Water+Environment+Research+%2810614303%29%22">Water Environment Research (10614303)</searchLink>. Apr2026, Vol. 98 Issue 4, p1-20. 20p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Nitrates%22">Nitrates</searchLink><br /><searchLink fieldCode="DE" term="%22Isotopic+analysis%22">Isotopic analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Aquatic+habitats%22">Aquatic habitats</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+bias%22">Statistical bias</searchLink><br /><searchLink fieldCode="DE" term="%22Isotopic+fractionation%22">Isotopic fractionation</searchLink><br /><searchLink fieldCode="DE" term="%22Water+quality+management%22">Water quality management</searchLink><br /><searchLink fieldCode="DE" term="%22Water+pollution+point+source+identification%22">Water pollution point source identification</searchLink><br /><searchLink fieldCode="DE" term="%22Bayesian+analysis%22">Bayesian analysis</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Accurate identification of nitrate sources in aquatic environments is vital for implementing effective measures to prevent and control nitrate pollution. The combination of isotopes of nitrate with Bayesian models has proven effective in tracing nitrate pollution sources in aquatic environments. Nevertheless, broad systematic errors in both qualitative and quantitative assessments lead to significant uncertainties in quantifying the contributions of nitrate sources. This review initiates by outlining the fundamental principles and procedures of employing nitrate isotopes in conjunction with Bayesian models. It further consolidates the empirically determined values for two pivotal parameters, isotope abundances and effects, within these models and provides a detailed analysis of their spatial and temporal variability sources. Then it meticulously dissects the origins of systematic errors encountered in applying this technique, including overlooking isotope effects, disregarding the spatiotemporal variability of isotopes, and failing to validate whether data conform to the normal distribution assumption inherent in Bayesian models. Subsequently, the review compiles and discusses emerging strategies from both qualitative, including emerging isotopes that increase the precision of source identification, fecal‐specific indicators, statistical tools, and fluorescence spectrum methods, and quantitative, including mathematical methods and/or their combination with mass balance models perspectives to mitigate these systematic errors. It also forecasts the trajectory of development within this technical domain. By examining the application of isotope technology for nitrate source identification from multiple angles, this review offers theoretical references for the prevention, control, and mitigation of nitrate in water, as well as for the formulation and implementation of pertinent policies by regulatory authorities. Summary: Nitrate isotopic abundances and fractionation were compiled and analyzed.Error sources in interpreting nitrate sources in aquatic environments were proposed.New methods for identifying nitrate sources in aquatic environments were summarized.Outlook on the application of Bayesian models for identifying nitrate sources in aquatic environments. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Water Environment Research (10614303) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=193279365
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1002/wer.70355
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 20
        StartPage: 1
    Subjects:
      – SubjectFull: Nitrates
        Type: general
      – SubjectFull: Isotopic analysis
        Type: general
      – SubjectFull: Aquatic habitats
        Type: general
      – SubjectFull: Statistical bias
        Type: general
      – SubjectFull: Isotopic fractionation
        Type: general
      – SubjectFull: Water quality management
        Type: general
      – SubjectFull: Water pollution point source identification
        Type: general
      – SubjectFull: Bayesian analysis
        Type: general
    Titles:
      – TitleFull: Application of Isotopic Method to Identify the Sources of Nitrate in Freshwater: Principles, Biases, and Optimizations.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Liu, Deze
      – PersonEntity:
          Name:
            NameFull: Song, Linlin
      – PersonEntity:
          Name:
            NameFull: Wang, Xueyan
      – PersonEntity:
          Name:
            NameFull: Zhou, Xulun
      – PersonEntity:
          Name:
            NameFull: Wang, Fangna
      – PersonEntity:
          Name:
            NameFull: Yu, Haoming
      – PersonEntity:
          Name:
            NameFull: Duan, Yihang
      – PersonEntity:
          Name:
            NameFull: Su, Chenxia
      – PersonEntity:
          Name:
            NameFull: Tu, Ying
      – PersonEntity:
          Name:
            NameFull: Wang, Ang
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 04
              Text: Apr2026
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-print
              Value: 10614303
          Numbering:
            – Type: volume
              Value: 98
            – Type: issue
              Value: 4
          Titles:
            – TitleFull: Water Environment Research (10614303)
              Type: main
ResultId 1