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Analysis Of Atmospheric Inversion Characteristics And Severe Pollution Process

Posted on:2019-05-10Degree:MasterType:Thesis
Country:ChinaCandidate:W WangFull Text:PDF
GTID:2370330548991510Subject:Ecology
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This paper mainly studied the characteristics of inversion at different time periods and different months in July 2015 to June 2017 in Lin'an,and analyzed the only continuous serious pollution process during the observation period.This paper was different from traditional causality and traditional statistical correlations.It combined the ideas of related ideas and big data theory--the nonlinearity among many things.Related relations thoughts,and in the context of the correlation analysis method,the temperature data collected by the MTP5 temperature profiler was filtered and discretized,and the R-software was used to search for association rules to find the probability of inversion occurring in different time periods and months.At the same time,a comparative analysis of a serious pollution process reveals the characteristics of Lin'an inversion.The management decisions that were conducive to atmospheric environmental pollution issues also provide new ways and perspectives for the use of large amounts of data.The conclusions of this paper were of positive significance for government scientific supervision,research observation and research,public understanding and prevention.This article focused on the following conclusions:(1)Atmospheric temperature inversion was ranked as T4?T8?T9?T5?T3?T2?T7?T1?T6?T10.The inversion temperature was closely related to sunrise and sunset.The months with the highest probability of occurrence in the T4 period(7:00-9:00)were March and October,which were spring and autumn respectively.The type of inversion occurred mainly was inversion of ground temperature,and the average height of the inversion top was 600-700 m,and the average height of the inversion temperature was 100-200 m.The average temperature difference between inversion 2.0-3.0 °C.The most probable month for the T8 time period(17:00-20:00)was July and August.The type of inversion temperature was mainly ground inversion temperature,and the average height of the inversion temperature top was 700-800 m.Its height was 200-300 m and the average temperature difference between inversions was 0-0.5°C.(2)Atmospheric temperature inversion was sorted by the probability of occurring in the month: M1? M12?M11?M2?M7?M4?M3?M9?M6?M8?M10?M5.The season in which temperature inversion was most likely to occur was winter,especially in December and January,followed by November and February.In January,there were inversions in different time periods.Most of them were inversion temperature,and the average height at the inversion temperature was 200 m.The average height of the inversion top was 900 m,and the temperature range of inversion temperature was 0.5°C to 4.0°C.In December,the highest probability of inversion occurred in the period of T7(14:00-17:00).The type of inversion was the ground inversion temperature,and the inversion temperature was 900 m.The inversion temperature difference was 0.5°C-1.0°C.(3)In December 2015,smog was severely polluted after being contaminated for three consecutive days and then degraded to one day,then weakened to moderate,and then became good.The whole process was six days.The pollution come with the inversion of temperature,and it dissipated with the inversion of temperature,and accumulates with the inversion process.In this haze process,the maximum inversion thickness was 700 m,and the average inversion thickness was 359 m.The maximum temperature difference between inversion temperature was 3.7°C,and the average inversion temperature was 0.7°C.The temperature difference between inversion temperature and inversion temperature were extremely significantly correlated(R2=0.914,P<0.01).PM2.5 and PM10 were the main pollutants.During the period of serious pollution,the PM2.5 and PM10 concentrations exceeded 115 ?g·m-3 and 250 ?g·m-3,respectively;SO2,CO,O3,and NO2 gases were This pollution process is always in a good quality state.There was a significant positive correlation between PM2.5,PM10 and inversion temperature,and there was no significant correlation between inversion temperature top and two particle concentrations.The reason for the pollution was that the height of the inversion temperature drops,and the diffusion of particles in the vertical direction was hindered and a large amount of aggregation occurs.
Keywords/Search Tags:atmospheric pollution, air quality, association rules, R language, data mining
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