A combined data mining method and its application in water quality trends analysis

Abstract

A combined method with moving average smoothing method, reverse test method and linear regression model is presented to analyze water quality trends in this chapter. The method is applied to the trends analysis for Yangtze-Taihu Water Diversion, the conclusions are verified by the practice and application of Wuxi Hydrology and Water Resources Monitoring Council, and the method is proved effective. © 2012 Springer Science+Business Media B.V.