| With the rapid development of the economy,the problem of atmospheric pollution has become increasingly serious.However,the atmosphere is one of the most important environmental factors for our human survival.The quality of the air directly affects the health level and quality of life of human beings.Therefore,air pollution,as a major branch of environmental issues,has received widespread attention in countries around the world,and air pollution prevention and control work is also imperative.Economic and Technological Development Zone of Linyi is located in the southeast of Shandong Province.In 2003,it was approved by the State Council as a national economic and technological development zone.After years of development,the local urbanization process has been accelerating,and many serious environmental problems have arisen.In view of the current air quality and environmental issues,this paper takes the Linyi Economic and Technological Development Zone as the research object.According to the atmospheric monitoring data obtained from 2014 to 2018,the distribution characteristics and trends of seven pollutants such as PM10,PM2.5,SO2,NO2,NOx,CO and O3 in the study area were analyzed from the perspective of year,month and day.At the same time,the monthly average value of pollutants in 2017 and2018 was evaluated by fuzzy comprehensive evaluation method and three-layer BP neural network structure model,and the results of the two evaluation methods were compared.The main contents and results of the research are as follows:?1?After a detailed analysis of the natural environment and social environment in the study area,the statistics of the annual average and monthly mean values of pollutants PM10,PM2.5,SO2,NO2,NOx,CO,O3 were charted,and the distribution characteristics and trends of various pollutants in 20142018 were studied and analyzed.The results showed that PM10,PM2.5,SO2,NO2,NOx,CO and other pollutants decreased year by year,representing obvious seasonal variation characteristics,that is,the concentration of pollutants in heating period was high,while that in non-heating period was low.O3 pollutants showed an upward trend year by year,and showed an upward trend year by year.The concentration of pollutant O3increased year by year,representing the characteristics of high concentration in summer,second concentration in spring and autumn,and lowest concentration in winter.?2?The daily average distribution characteristics of pollutants PM10,PM2.5,SO2,NO2,CO and O3 in the study area were studied by the method of ambient air quality index?AQI?.The pollution status and pollution levels were classified,and the primary pollutants were statistically analyzed.The results showed that pollutants PM10 and PM2.5 were the primary pollutants in the atmospheric environment of the study area.?3?The Spearman rank correlation coefficient method was used to analyze the annual average and monthly mean trends of seven pollutants in the study area from2014 to 2018.The results showed that the annual average concentrations of PM10,PM2.5 and SO2 decreased significantly,while NO2 and NOx decreased slightly and O3increased significantly.?4?The air quality of the study area in 2017 and 2018 was evaluated by fuzzy comprehensive evaluation method and BP neural network evaluation method,and the advantages and disadvantages of the two evaluation methods in air quality evaluation were compared.The results showed that the air quality assessment of the fuzzy comprehensive evaluation method reached Grade II.The BP neural network evaluation results were all grade III for 5 months;By comparing and analyzing the evaluation results of the two methods,it can be seen that the method of BP neural network air quality evaluation has more advantages than the fuzzy comprehensive evaluation.?5?Combining the results of air quality analysis and evaluation in the study area,corresponding rectification and prevention measures were proposed to improve the atmospheric environmental quality of the study area. |
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