摘要
目的从室内污染物的时空分布特性出发,提出基于Pearson评价法的室内污染源辨识策略,从而快速准确辨识室内污染源.方法以Pearson相关系数作为辨识指标以及得分率作为辨识结果的评价标准,先采用控制变量法对Pearson评价法的辨识有效性进行验证,作为后续研究开展的基础,再基于Pearson相关系数指标,对室内16个不同位置的污染源展开位置辨识.结果最终有15个污染源的位置辨识结果准确;辨识效果与辨识时段的选取有关;在0~200 s的统计区间内,整体辨识效果呈现先升高,后略微下降并趋于稳定的趋势;辨识效果最好的时段出现在τ=80~120 s,此段时间内的平均辨识得分率高达94. 375%;在位置辨识准确的前提下,通过计算线性回归方程的斜率完成了对污染源散发强度的辨识,辨识误差保持在±0. 005 g/s的可控范围内.结论 Pearson评价法可以实现对污染源的位置和散发强度的有效辨识.
Based on the temporal and spatial distribution characteristics of indoor pollutants,an indoor pollution source identification strategy based on Pearson evaluation method was proposed.The Pearson correlation coefficient is used as the identification index,and the scoring rate is used as the evaluation criterion of identification results.First,the validity of Pearson correlation coefficient method is verified by the control variable method,which is the basis for further research.Then,based on the Pearson correlation coefficient,the position identification of 16 different locations of the pollution sources was carried out,and finally,15 pollution sources were accurately identificated.It is also found that the identification effect is related to the selection of the time period.In the statistical range of 0-200 s,the overall identification effect increased firstly,then decreased slightly and gradually stabilized.The best identification effect happened in the 40 s betweenτ=80 s andτ=120 s,and the average score of the identification rate between this time period is as high as 94.375.Finally,under the precondition of accurate location identification,based on the slope of the linear regression equation,the emission intensity of pollutant sources can be identified,and the identification error is kept within the controllable range of 0.005 g/s.The results show that the Pearson correlation coefficient method can effectively identify the location and emission intensity of pollution sources.
作者
于水
贺廉洁
于知田
冯国会
YU Shui;HE Lianjie;YU Zhitian;FENG Guohui(School of Municipal and Environmental Engineering,Shenyang Jianzhu University,Shenyang,China,110168)
出处
《沈阳建筑大学学报(自然科学版)》
CAS
CSCD
北大核心
2018年第5期944-952,共9页
Journal of Shenyang Jianzhu University:Natural Science
基金
国家自然科学基金面上项目(51378318)
中国博士后基金项目(2015M581362)
辽宁省自然科学基金项目(20170540760)
关键词
污染源辨识
反问题
Pearson相关系数
线性拟合
释放强度
pollution source identification
inverse problem
Pearson correlation coefficient
linear fitting
release intensity