A Combined Data Mining Method and Its Application in Water Quality Trends Analysis

  • Ji-Min Wang
  • Ding-Sheng Wan
  • Yue-Long Zhu
  • Shi-Jin Li
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 107)

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.

Keywords

Moving average smoothing method Reverse test method Yangtze-Taihu water diversion Water quality trends 

Notes

Acknowldgments

This research was supported by

the Fundamental Research Funds for the Central Universities(No. 2009B22014).

the National Natural Science Foundation of China (No. 51079040).

948 Project of Ministry of Water Resources(No. 201016).

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Copyright information

© Springer Science+Business Media B.V. 2012

Authors and Affiliations

  • Ji-Min Wang
    • 1
    • 2
  • Ding-Sheng Wan
    • 1
    • 2
  • Yue-Long Zhu
    • 1
  • Shi-Jin Li
    • 1
  1. 1.College of Computer & InformationHoHai UniversityNanjingChina
  2. 2.National Engineering Research Center of Water Resources Efficient Utilization Engineering SafetyNanjingChina

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