Long-term quantitative evaluation of river water quality in Tokyo (1966–2023) based on the NSFWQI.

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Title: Long-term quantitative evaluation of river water quality in Tokyo (1966–2023) based on the NSFWQI.
Authors: Setiawati, Martiwi Diah1,2 (AUTHOR) martiwi1802@gmail.com, Pu, Jian1,3 (AUTHOR) pu@toyo.jp, Wadumestrige Dona, Chethika Gunasiri1,4 (AUTHOR) chethikagunasiri@gmail.com, Fukushi, Kensuke1,4 (AUTHOR) kensuke-fukushi@unu.edu, Dwinandha, Dhimas1,5,6 (AUTHOR) dhimasdwinandha@unu.edu, Katsuma, Yasushi1,7,8 (AUTHOR) katsuma@unu.edu, Jarzebski, Marcin Pawel9,10 (AUTHOR) marcin.jarzebski@edu.k.u-tokyo.ac.jp
Source: Environmental Monitoring & Assessment. May2026, Vol. 198 Issue 5, p1-21. 21p.
Subject Terms: *Water quality, *Coliforms, *Longitudinal method, *Biochemical oxygen demand, *Water management, *Cities & towns
Geographic Terms: Tokyo (Japan), Japan
Abstract: This study presents a long-term analysis of water quality using the National Sanitation Foundation Water Quality Index (NSFWQI) based on the monitoring data from 1966 to 2023 for the Sumida River in Tokyo. Although the NSFWQI has been widely used, it is not often applied to large, long-term datasets. This study illustrates how the NSFWQI can be effectively used for multidecadal analysis, allowing researchers to identify temporal dynamics and progressive changes in water quality. In this study, NSFWQI was developed from 27 sampling points using four to eight key parameters: transparency, temperature, pH, dissolved oxygen (DO), biochemical oxygen demand (BOD), nitrate, phosphate, and fecal coliform of the monthly dataset from 1966 to 2023. The results show that the overall water quality improved from poor in 1966 to good by 2012, driven mainly by reduced BOD and enhanced DO. Moreover, the analysis identified eight significant change points, indicating gradual improvements in water quality that correspond to major policy and infrastructure advancements. However, among eight water quality parameters, fecal coliform levels remained persistently high, indicating continuing microbial risks linked to diffuse sources and aging sewer infrastructure. The findings highlight how sustained governance and infrastructure investment can reverse urban river degradation, while emphasizing that chemical recovery alone is insufficient without microbial management. Incorporating WQI-based assessments into Japan's monitoring frameworks could enhance adaptive water governance and public communication of river health. Highlights: • This study showcases a long-term use of the NSFWQI in an urban river system. • Water quality improved significantly from poor in 1966 to good after 2012. • Ongoing fecal coliform contamination indicates microbial risks that question chemical recovery assessments. • The study provides insights for adaptive water governance in other megacities globally. Note: The figure was generated by Canva Software. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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An: 193884742
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  Data: Long-term quantitative evaluation of river water quality in Tokyo (1966–2023) based on the NSFWQI.
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  Data: <searchLink fieldCode="AR" term="%22Setiawati%2C+Martiwi+Diah%22">Setiawati, Martiwi Diah</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> martiwi1802@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Pu%2C+Jian%22">Pu, Jian</searchLink><relatesTo>1,3</relatesTo> (AUTHOR)<i> pu@toyo.jp</i><br /><searchLink fieldCode="AR" term="%22Wadumestrige+Dona%2C+Chethika+Gunasiri%22">Wadumestrige Dona, Chethika Gunasiri</searchLink><relatesTo>1,4</relatesTo> (AUTHOR)<i> chethikagunasiri@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Fukushi%2C+Kensuke%22">Fukushi, Kensuke</searchLink><relatesTo>1,4</relatesTo> (AUTHOR)<i> kensuke-fukushi@unu.edu</i><br /><searchLink fieldCode="AR" term="%22Dwinandha%2C+Dhimas%22">Dwinandha, Dhimas</searchLink><relatesTo>1,5,6</relatesTo> (AUTHOR)<i> dhimasdwinandha@unu.edu</i><br /><searchLink fieldCode="AR" term="%22Katsuma%2C+Yasushi%22">Katsuma, Yasushi</searchLink><relatesTo>1,7,8</relatesTo> (AUTHOR)<i> katsuma@unu.edu</i><br /><searchLink fieldCode="AR" term="%22Jarzebski%2C+Marcin+Pawel%22">Jarzebski, Marcin Pawel</searchLink><relatesTo>9,10</relatesTo> (AUTHOR)<i> marcin.jarzebski@edu.k.u-tokyo.ac.jp</i>
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  Data: <searchLink fieldCode="JN" term="%22Environmental+Monitoring+%26+Assessment%22">Environmental Monitoring & Assessment</searchLink>. May2026, Vol. 198 Issue 5, p1-21. 21p.
– Name: Subject
  Label: Subject Terms
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  Data: *<searchLink fieldCode="DE" term="%22Water+quality%22">Water quality</searchLink><br />*<searchLink fieldCode="DE" term="%22Coliforms%22">Coliforms</searchLink><br />*<searchLink fieldCode="DE" term="%22Longitudinal+method%22">Longitudinal method</searchLink><br />*<searchLink fieldCode="DE" term="%22Biochemical+oxygen+demand%22">Biochemical oxygen demand</searchLink><br />*<searchLink fieldCode="DE" term="%22Water+management%22">Water management</searchLink><br />*<searchLink fieldCode="DE" term="%22Cities+%26+towns%22">Cities & towns</searchLink>
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  Label: Geographic Terms
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  Data: <searchLink fieldCode="DE" term="%22Tokyo+%28Japan%29%22">Tokyo (Japan)</searchLink><br /><searchLink fieldCode="DE" term="%22Japan%22">Japan</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This study presents a long-term analysis of water quality using the National Sanitation Foundation Water Quality Index (NSFWQI) based on the monitoring data from 1966 to 2023 for the Sumida River in Tokyo. Although the NSFWQI has been widely used, it is not often applied to large, long-term datasets. This study illustrates how the NSFWQI can be effectively used for multidecadal analysis, allowing researchers to identify temporal dynamics and progressive changes in water quality. In this study, NSFWQI was developed from 27 sampling points using four to eight key parameters: transparency, temperature, pH, dissolved oxygen (DO), biochemical oxygen demand (BOD), nitrate, phosphate, and fecal coliform of the monthly dataset from 1966 to 2023. The results show that the overall water quality improved from poor in 1966 to good by 2012, driven mainly by reduced BOD and enhanced DO. Moreover, the analysis identified eight significant change points, indicating gradual improvements in water quality that correspond to major policy and infrastructure advancements. However, among eight water quality parameters, fecal coliform levels remained persistently high, indicating continuing microbial risks linked to diffuse sources and aging sewer infrastructure. The findings highlight how sustained governance and infrastructure investment can reverse urban river degradation, while emphasizing that chemical recovery alone is insufficient without microbial management. Incorporating WQI-based assessments into Japan's monitoring frameworks could enhance adaptive water governance and public communication of river health. Highlights: • This study showcases a long-term use of the NSFWQI in an urban river system. • Water quality improved significantly from poor in 1966 to good after 2012. • Ongoing fecal coliform contamination indicates microbial risks that question chemical recovery assessments. • The study provides insights for adaptive water governance in other megacities globally. Note: The figure was generated by Canva Software. [ABSTRACT FROM AUTHOR]
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1007/s10661-026-15379-x
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 21
        StartPage: 1
    Subjects:
      – SubjectFull: Water quality
        Type: general
      – SubjectFull: Coliforms
        Type: general
      – SubjectFull: Longitudinal method
        Type: general
      – SubjectFull: Biochemical oxygen demand
        Type: general
      – SubjectFull: Water management
        Type: general
      – SubjectFull: Cities & towns
        Type: general
      – SubjectFull: Tokyo (Japan)
        Type: general
      – SubjectFull: Japan
        Type: general
    Titles:
      – TitleFull: Long-term quantitative evaluation of river water quality in Tokyo (1966–2023) based on the NSFWQI.
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            NameFull: Setiawati, Martiwi Diah
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            NameFull: Pu, Jian
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            NameFull: Wadumestrige Dona, Chethika Gunasiri
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            NameFull: Fukushi, Kensuke
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            – D: 01
              M: 05
              Text: May2026
              Type: published
              Y: 2026
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              Value: 01676369
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              Value: 198
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            – TitleFull: Environmental Monitoring & Assessment
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