ArticlePloS one2018
Identification of long-term trends and seasonality in high-frequency water quality data from the Yangtze River basin, China.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed.
- Luminescence Lifetime-Based Sensing of Water Turbidity.ACS sensors · 2025Article
- Machine learning approach towards explaining water quality dynamics in an urbanised river.Scientific reports · 2022Article
- Measuring the zonal responses of nitrogen output to landscape pattern in a flatland with river network: a case study in Taihu Lake Basin, China.Environmental science and pollution research international · 2022Article
- Study on landscape evaluation and optimization strategy of Central Park in Qingkou Town.Scientific reports · 2022Article
- A water quality prediction model based on variational mode decomposition and the least squares support vector machine optimized by the sparrow search algorithm (VMD-SSA-LSSVM) of the Yangtze River, China.Environmental monitoring and assessment · 2021Article
- Spatio-temporal variation and risk assessment of hydrochemical indices in a large diversion project of the Yellow River, northern China, from 2008 to 2017.Environmental science and pollution research international · 2020Article
- Impact of rapid urbanization on the surface water's quality: a long-term environmental and physicochemical investigation of Tajan river, Iran (2007-2017).Environmental science and pollution research international · 2020Article
- A Low-Cost Continuous Turbidity Monitor.Sensors (Basel, Switzerland) · 2019Article
- Water quality prediction based on recurrent neural network and improved evidence theory: a case study of Qiantang River, China.Environmental science and pollution research international · 2019Article
- Landscape Characteristics Affecting Spatial Patterns of Water Quality Variation in a Highly Disturbed Region.International journal of environmental research and public health · 2019Article
- Modeling nitrogen and phosphorus export with InVEST model in Bosten Lake basin of Northwest China.PloS one · 2019Article
- Article
- Research on the Relationship between Water Diversion and Water Quality of Xuanwu Lake, China.International journal of environmental research and public health · 2018Article
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8 authors.
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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 pollution levels in Xiang and Gan River basins, as indicated by higher NH4-N and CODMn concentrations measured at the stations within these basins. Significant trends in water quality were identified for the 2004-2015 period. Operations of the three Gorges Reservoir (TGR) enhanced pH fluctuations and possibly attenuated CODMn, and NH4-N transportation. Finally, seasonal cycles of varying strength were detected for time-series of pollutants in river discharge. Seasonal patterns in pH indicate that maxima appear in winter, and minima in summer, with the opposite true for CODMn. Accurate understanding of long-term trends and seasonality are necessary goals of water quality monitoring system efforts and the analysis methods described here provide essential information for effectively controlling water pollution.
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