scholarly journals Trend analysis of water quality series based on regression models with correlated errors

2011 ◽  
Vol 400 (3-4) ◽  
pp. 341-352 ◽  
Author(s):  
Jesús Abaurrea ◽  
Jesús Asín ◽  
Ana C. Cebrián ◽  
Miguel A. García-Vera
Keyword(s):  
Water Quality ◽  
Trend Analysis ◽  
Regression Models ◽  
Correlated Errors

Techniques of trend analysis for monthly water-quality data

1981 ◽  
Author(s):  
Robert M. Hirsch ◽  
James Richard Slack ◽  
Richard A. Smith
Keyword(s):  
Water Quality ◽  
Trend Analysis ◽  
Quality Data ◽  
Water Quality Data

scholarly journals Trend analysis of water quality parameters for the Nisava river

2013 ◽  
Vol 11 (3) ◽  
pp. 199-210 ◽  
Author(s):  
Milan Gocic ◽  
Slavisa Trajkovic
Keyword(s):  
Water Quality ◽  
Trend Analysis ◽  
Kendall Test ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Total Hardness ◽  
Significance Level ◽  
Annual Series ◽  
Annual Time Series ◽  
Annual Time

The data of 12 water quality parameters have been daily monitored at the Nis station on the Nisava River during 2000-2004. The trend analysis was performed on monthly, seasonal and annual time series using the Mann-Kendall test, the Spearman?s Rho test and the linear regression at the 5% significance level. The monthly results showed that significant trends were found only in pH, total hardness, Ca and SO4 data. The results in seasonal series indicated that the significant trends were detected in pH, total hardness, Cl, Ca and SO4 data. In annual series, the trends were insignificant at the 5% significance level.

scholarly journals Serial correlation in water quality variables: Estimation and implications for trend analysis

2002 ◽  
Vol 38 (7) ◽  
pp. 22-1-22-7 ◽  
Author(s):  
Patrick F. Darken ◽  
Carl E. Zipper ◽  
Golde I. Holtzman ◽  
Eric P. Smith
Keyword(s):  
Water Quality ◽  
Trend Analysis ◽  
Serial Correlation ◽  
Water Quality Variables

Water quality trend analysis for the Karoon River in Iran

2007 ◽  
Vol 134 (1-3) ◽  
pp. 305-312 ◽  
Author(s):  
K. Naddafi ◽  
H. Honari ◽  
M. Ahmadi
Keyword(s):  
Water Quality ◽  
Trend Analysis ◽  
Karoon River

scholarly journals Early warning of changing drinking water quality by trend analysis

2016 ◽  
Vol 14 (3) ◽  
pp. 433-442 ◽  
Author(s):  
Jani Tomperi ◽  
Esko Juuso ◽  
Kauko Leiviskä
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Water Treatment ◽  
Trend Analysis ◽  
Warning Signs ◽  
Economic Losses ◽  
Monitoring And Control ◽  
Water Treatment Process ◽  
Health Related ◽  
And Control

Monitoring and control of water treatment plants play an essential role in ensuring high quality drinking water and avoiding health-related problems or economic losses. The most common quality variables, which can be used also for assessing the efficiency of the water treatment process, are turbidity and residual levels of coagulation and disinfection chemicals. In the present study, the trend indices are developed from scaled measurements to detect warning signs of changes in the quality variables of drinking water and some operating condition variables that strongly affect water quality. The scaling is based on monotonically increasing nonlinear functions, which are generated with generalized norms and moments. Triangular episodes are classified with the trend index and its derivative. Deviation indices are used to assess the severity of situations. The study shows the potential of the described trend analysis as a predictive monitoring tool, as it provides an advantage over the traditional manual inspection of variables by detecting changes in water quality and giving early warnings.

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