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 December 2015. Results show gradual improvement in water quality during this period in the Yangtze River basin and greater improvement in the Uppermost Yangtze River basin. The larger cities, with high GDP and population density, experienced relatively higher pollution levels due to discharge of industrial and household wastewater. There are higher

SUBMITTER: Duan W 

PROVIDER: S-EPMC5821306 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature