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人为环境噪声污染对课堂环境的预测分析研究
引用本文:张馨娇.人为环境噪声污染对课堂环境的预测分析研究[J].环境科学与管理,2017(11):63-67.
作者姓名:张馨娇
作者单位:商洛学院 体育教学研究部,陕西 商洛,726000
基金项目:陕西省教育厅专项科学研究计划项目,"社会转型"背景下民族传统体育项目融入高校课堂之研究——以健身秧歌为例
摘    要:传统预测方法存在跟踪效果差、偏差大、预测效果不理想等问题,无法达到课堂环境噪声预测的标准,为此,以健身秧歌为例对人为环境噪声污染课堂环境进行预测分析.确定噪声污染因素,绘制噪声污染柱状图,建立预测模型,分别对区域密集型规范预测模型和广阔型导则范预测模型进行设计,由此预测噪声对不同区域学校课堂环境污染情况.设计对比实验,并进行数据分析,得出实验结论.实验结果表明,该预测模型具有预测偏差小,预测效果良好以及噪声污染源追踪准确等优势,能够较好估计噪声源位置,并对噪声影响课堂情况进行准确地分析.

关 键 词:健身秧歌  噪声污染  课堂环境  预测分析

Prediction on Impacts of Artificial Noise Pollution on Classroom Environment
Abstract:Traditional prediction methods are tracking effect is poor, large deviation, the problem such as the forecast effect is not ideal, can not meet the standard of environmental noise prediction, class for this purpose, the fitness yangko, for example on the human environment noise pollution forecast analysis on classroom environment. Determine the noise pollution factors, drawing histogram, noise pollution prediction model was established, respectively forecast model for the regional intensive code type and broad guidelines van prediction model to carry on the design, thus predicting noise on the classroom environment pollution situa-tion in different areas. Design and contrast experiment, and carry out the data analysis, draw the experimental conclusion. The experimental results show that the prediction model has forecast deviation is small, good prediction effect and advantages of the noise pollution source tracking accuracy, better able to estimate noise source location, and the noise influence is accurately analy-sis class.
Keywords:fitness yangko  noise pollution  classroom environment  predictive analysis
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