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Analysis of spatiotemporal variation in river water quality using clustering techniques: a case study in the Yeongsan

Kyoung-Hee Lee1, Tae-Woo Kang2, Hui-Seong Ryu1

  • 1Yeongsan River Environment Research Center, National Institute of Environmental Research, 5, Cheomdangwagi-ro 208beon-gil, Buk-gu, Gwangju, 61011, Korea.

Environmental Science and Pollution Research International
|May 23, 2020
PubMed

Keywords:
Clustering techniqueHierarchical cluster analysisLong-term monitoringMultivariate analysisSpatiotemporal variationWater quality

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