The Ground Of Micro Pulse Lidar Based On Strength, Shanghai Haze Analysis And Moisture Absorption Characteristic Of Season

Using the ground observation data in2009-2013screened the haze and theinfluence of different intensity of haze, the visibility and extinction coefficient of thecoefficient of quantitative relationship and the wavelength of the four seasons ofmicro pulse laser radar observation data to correct the inversion, the aerosol extinctioncoefficient.First of all, the paper analyzes the Shanghai area aerosol concentration rangefound in the vertical height, when there is a slight haze, mild spring ground haze,moderate haze, severe haze when aerosol were concentrated on the surface of0.96,0.96,0.29,0.26km below; When there is a slight haze, mild summer ground haze,moderate haze, severe haze when aerosol were concentrated on the surface of0.57,0.57,0.38,0.31km below; When there is a slight haze, mild autumn the ground haze,moderate haze, severe haze when aerosol were concentrated on the surface of0.65,0.65,0.38,0.29km below; When there is a slight haze, mild winter ground haze,moderate haze, severe haze when aerosol were concentrated on the surface of0.81,0.81,0.41,0.40km below; Haze pollution is more serious, the farther the surfaceconcentration of aerosol, including different intensity in summer and autumn hazeduring aerosol relatively concentrated in the surface layer. On the basis of the above,according to different intensity of haze discriminant ground visibility standards andvisibility quantitative relationship with the extinction coefficient, the visibility intoextinction coefficient, again to micro pulse lidar inversion extinction coefficientmodification, high extinction coefficient to use to judge the intensity of the haze andthe height. For the related research of haze and pollution control, early warningforecast decision provides scientific reference.At the same time, the paper analyzes the different intensity of haze duringseasonal variation characteristics of particulate matter concentrations. Results indicatethat the strength of the haze and different haze particles during the concentration ofPM10and PM2.5and PM1.0distribution is relatively uniform, PM10concentration change greater than PM2.5and PM1.0volatility; Spring and winter2010PM of volatile,summer and autumn most volatile in2009; During2009-2013in the concentration ofPM10and PM2.5and PM1.0seasonal change trends are basically the same; The greaterthe volatility haze pollution is heavier particles concentration distribution; During thespring and winter the haze and different intensity haze of PM10and PM2.5and PM1.0average is bigger, were concentrated in the41.35?g/m3~124.92?g/m3,21.95?g/m3~108.58?g/m3,16.42?g/m3~98.52?g/m3range; During the summer andautumn the haze and the intensity of different haze smaller average of PM10and PM2.5and PM1.0, were concentrated in the23.01?g/m3~103.51?g/m3,13.51?g/m3~82.52?g/m3,9.71?g/m3~74.97?g/m3range; According to different intensity ofhaze haze and PM2.5and PM1.0accounted for the proportion of PM10found duringwinter PM2.5and PM1.0accounted for the proportion of PM10is the largest, followedby autumn and summer PM2.5and PM1.0accounts for the smallest percentage of PM10,but with the increase of intensity of haze, the greater the proportion of tiny particleseach quarter. To reduce the emission of pollution small particles can purify aireffectively, reduce the frequency of haze weather.In addition, also probes into the spring, summer, autumn and winter seasons inShanghai moisture absorption properties of aerosols. Using surface meteorologicalobservation data in2009-2013screened the haze and the influence of differentintensity of haze, the paper analyzes the relationship between the heavy haze andprecipitation of Shanghai found that heavy haze season correlation with precipitationand humidity has been followed by: spring, summer, autumn and winter, respectively,88.02%,52.91%,91.21%and88.02%before and after heavy haze accompanied byprecipitation phenomenon. Therefore, the occurrence of heavy haze have a certainrelationship with precipitation; At the same time, further analysis of the relationshipbetween the heavy haze and humidity of the seasonal, found in the four seasons,respectively,75.91%,64.02%,62.91%,65.72%humidity during heavy haze alone ismore than80%, the four seasons are more than94%of heavy haze alone humidity ismore than60%. Based on this, explores the haze during moisture absorptioncharacteristics of seasonal change of growth factor, it is concluded that the moistureabsorption of spring growth factor is the largest, followed by winter, summer andautumn, with a value of1.56,1.39,1.37,1.29, respectively. Conclusion: strength ofmoisture absorption characteristics of aerosol particles in the four seasons: spring>winter> autumn> summer.