Identification of long-term trends and seasonality in high-frequency water quality data from the Yangtze River basin, China
Abstract
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 Mann-Kendall test and time-series decomposition. The used weekly water quality data were from 17 environmental stations for the period January 2004 to...
Paper Details
Title
Identification of long-term trends and seasonality in high-frequency water quality data from the Yangtze River basin, China
Published Date
Feb 21, 2018
Journal
Volume
13
Issue
2
Pages
e0188889 - e0188889
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