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Identification of long-term trends and seasonality in high-frequency water quality data from the Yangtze River basin, China
Comprehensive understanding of the long-term trends and seasonality of water quality is important for controlling water pollution. This study focuses on spatio-temporal distributions, long-term trends, and seasonality of water quality in the Yangtze River basin using a combination of the seasonal Ma...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5821306/ https://www.ncbi.nlm.nih.gov/pubmed/29466354 http://dx.doi.org/10.1371/journal.pone.0188889 |