論文

査読有り
2019年

Non-point source pollution estimation in the Pingqiao River Basin, China, using a spatial hydrograph-separation approach

Hydrological Sciences Journal
  • Han Xue
  • ,
  • Takahiro Sayama
  • ,
  • Kaoru Takara
  • ,
  • Bin He
  • ,
  • Guangwei Huang
  • ,
  • Weili Duan

64
8
開始ページ
962
終了ページ
973
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1080/02626667.2019.1617867

© 2019, © 2019 IAHS. For efficient and targeted management, this study demonstrates a recently developed non-point source (NPS) pollution model for a year-long estimation in the Pingqiao River Basin (22.3 km2) in China. This simple but physically reasonable model estimates NPS export in terms of land use by reflecting spatial hydrological features and source runoff measurements under different land-use types. The NPS export was separately analysed by a distributed hydrological model, a spatial hydrograph-separation technique, and an empirical water quality sub-model. Simulation results suggest that 57 890 kg of total nitrogen (TN) and 1148 kg of total phosphorus (TP) were delivered. The results, validated with observed stream concentrations, show relative errors of 23.3% for TN and 47.4% for TP. Countermeasures for urban areas (5.3% of total area) were prioritized because of the high contribution rate to TN (14.1%) and TP (26.2%) which is caused by the high degree of runoff (8.5%) and pollution source.

リンク情報
DOI
https://doi.org/10.1080/02626667.2019.1617867
Scopus
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85066607661&origin=inward
Scopus Citedby
https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85066607661&origin=inward
URL
https://www.tandfonline.com/doi/abs/10.1080/02626667.2019.1617867
ID情報
  • DOI : 10.1080/02626667.2019.1617867
  • ISSN : 0262-6667
  • eISSN : 2150-3435
  • SCOPUS ID : 85066607661

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