气象因素对大气污染物的影响及预测模型构建研究

Influence of Meteorological Factors on Air Pollutants and Construction of Prediction Model

以河南南阳研究区为例,判断气象因素对大气污染物的影响效果并构建预测模型。获取大气污染物数据和气象数据,使用Kriging插值分析方法,并以SPSS 17.0软件对其进行大气污染物数据以及气象数据进行相关性分析,建立线性回归模型。由数据统计结果,分析研究区在12月内的风向风速、温度、降雨量、气压、湿度以及SO_(2)、NO_(2)、PM_(10)、PM_(2.5)四种污染物的浓度。由数据结果可知,温度、空气湿度、风速三种参数会对大气污染物的浓度造成影响。在预测模型准确率的测试中,所有预测数据的准确率均高于80%,可见该预测模型所得预测结果有效。

Taking the Nanyang study area in Henan as an example,the impact of meteorological factors on air pollutants was judged and a prediction model was constructed.Air pollutant data and meteorological data were obtained,Kriging interpolation analysis method was used,and SPSS 17.0 software was used to carry out correlation analysis on air pollutant data and meteorological data,and a linear regression model was established.According to the statistical results of the data,the wind direction,wind speed,temperature,rainfall,air pressure,humidity and the concentrations of four pollutants of SO_(2),NO_(2),PM_(10) and PM_(2.5) in the study area in December were analyzed.It can be seen from the data results that the three parameters of temperature,air humidity and wind speed will affect the concentration of air pollutants.In the test of the accuracy of the prediction model,the accuracy of all prediction data is higher than 80%,which shows that the prediction results obtained by the prediction model are effective.