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Factor Analysis of Environmental Pollution Detection

Jiao Sheng, Shumei Yan, Xian Feng, Guihua Zeng


In recent years, the constant development of our economy is followed by serious environmental damages. In order to solve this problem, this paper studied the environmental pollution detection and put forward model based on SPSS and factor analysis. The factor analysis aims at concentrating information, reducing the index dimension, simplifying the index structure, avoiding multi-collinearity problem between variables under the premise of as little losses of main information as possible, which makes the analysis of the index system more simple and effective and analyzes in depth with SPSS algorithm model, and in some sense, it is more flexible and having more practical significances in problem solving and operation values. The simulation experiments show that comparing the actual value of the training samples goal with the predicted value is the relatively ideal forecast effect.


factor analysis, environmental pollution, pollution detection.

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