本文選題：氣溶膠 + 大氣溫度��； 參考：《北京理工大學(xué)》2015年博士論文

【摘要】：大氣氣溶膠來源廣泛,化學(xué)組分復(fù)雜,其理化特性也有很大的變化范圍,氣溶膠的光學(xué)特性是氣溶膠輻射效應(yīng)的重要因素,而且氣溶膠粒子對(duì)環(huán)境、氣候以及人體健康都有重要的影響。在眾多的氣溶膠的探測(cè)方法中,激光雷達(dá)以其光源的良好單色性、定向性和高功率,使得激光雷達(dá)在探測(cè)大氣氣溶膠方面有著較高的時(shí)空分辨率和探測(cè)精度,對(duì)大氣氣溶膠的反演研究具有重要的科學(xué)意義和應(yīng)用價(jià)值。本文基于拉曼-米激光雷達(dá)系統(tǒng),主要致力于大氣氣溶膠反演方法的改進(jìn),在對(duì)系統(tǒng)的仿真計(jì)算和誤差溯源分析的基礎(chǔ)上,首次考慮大氣溫度的影響,使用轉(zhuǎn)動(dòng)拉曼散射對(duì)米散射反演大氣氣溶膠進(jìn)行了優(yōu)化,提出Raman-Mie新算法,與不考慮大氣溫度影響的Raman-Mie方法相比,米散射反演大氣氣溶膠后向散射系數(shù)的精度優(yōu)化了1.1×10-4km-1sr-1,相對(duì)反演精度優(yōu)化了15.8%;同時(shí)結(jié)合星載CALIOP激光雷達(dá)數(shù)據(jù)對(duì)地基米散射激光雷達(dá)反演大氣氣溶膠進(jìn)行優(yōu)化,與地基Raman-Mie新算法相比,氣溶膠后向散射系數(shù)反演精度優(yōu)化了1.6×10-3 km-1sr-1,相對(duì)反演精度優(yōu)化了8.6%,并提出一種星載-地基激光雷達(dá)數(shù)據(jù)標(biāo)定地基激光雷達(dá)幾何因子的新方法;最后使用系統(tǒng)測(cè)量的北京2012年和2013年氣溶膠數(shù)據(jù)對(duì)以上優(yōu)化方法進(jìn)行驗(yàn)證,對(duì)北京氣溶膠季節(jié)性分布特征分析的結(jié)果表明北京2012年秋夏兩季卷云消光后向散射比月均值為23.85±3.05sr,大氣溫度對(duì)云層氣溶膠反演的影響要高于非云層氣溶膠16.5%,北京2013年冬夏季反演數(shù)據(jù)表明大氣溫度對(duì)氣溶膠反演的影響,夏季要高出冬季20%左右。論文主要研究?jī)?nèi)容如下:(1)針對(duì)實(shí)驗(yàn)室已有的拉曼-米激光雷達(dá)系統(tǒng)對(duì)系統(tǒng)信噪比進(jìn)行仿真計(jì)算,給出技術(shù)參數(shù)選取的依據(jù);完成了對(duì)系統(tǒng)儀器常數(shù)及幾何因子的標(biāo)定;根據(jù)仿真計(jì)算結(jié)果對(duì)系統(tǒng)探測(cè)誤差進(jìn)行溯源分析并給出相應(yīng)的解決方案;(2)分析拉曼-米激光雷達(dá)系統(tǒng)信號(hào)噪聲的來源,對(duì)其進(jìn)行分類;提出了5點(diǎn)滑動(dòng)平滑與小波變換結(jié)合的方法對(duì)系統(tǒng)探測(cè)原始數(shù)據(jù)進(jìn)行濾波和去噪,可有效保留突變數(shù)據(jù)的信息;(3)針對(duì)大氣溫度對(duì)氣溶膠反演的影響,提出了Raman-Mie新算法,使用轉(zhuǎn)動(dòng)拉曼散射對(duì)米散射反演大氣氣溶膠進(jìn)行優(yōu)化,利用大氣分子后向散射系數(shù)實(shí)際計(jì)算值替代標(biāo)準(zhǔn)大氣消光模式參數(shù),采用實(shí)際數(shù)據(jù)進(jìn)行驗(yàn)證,在此基礎(chǔ)上完成了拉曼-米激光雷達(dá)大氣氣溶膠反演軟件;(4)結(jié)合星載CALIOP激光雷達(dá)Level1B數(shù)據(jù)對(duì)地基米散射激光雷達(dá)反演氣溶膠進(jìn)行優(yōu)化,相對(duì)于地基Raman-Mie新算法,進(jìn)一步提高了地基激光雷達(dá)氣溶膠的反演精度,采用實(shí)際數(shù)據(jù)進(jìn)行驗(yàn)證,同時(shí)提出一種結(jié)合星載-地基激光雷達(dá)數(shù)據(jù)反演地基激光雷達(dá)幾何因子的新方法;(5)使用2012年和2013年北京氣溶膠觀測(cè)數(shù)據(jù)對(duì)以上優(yōu)化方法進(jìn)行了驗(yàn)證,并計(jì)算了北京地區(qū)冬夏季PM2.5-AOD(Aerosol Optical Depth)經(jīng)驗(yàn)公式;從北京地區(qū)氣溶膠的光學(xué)厚度、卷云的消光后向散射比以及大氣溫度對(duì)氣溶膠的影響三個(gè)層面對(duì)北京地區(qū)氣溶膠季節(jié)性分布特征進(jìn)行了研究。
[Abstract]:The source of atmospheric aerosol, chemical component is complex, its physicochemical properties have great range, the optical properties of the aerosols is an important factor in aerosol radiative effect, and aerosol particles on the environment, has important influence on the climate and human health. The detection method of numerous aerosol, lidar with good monochromaticity the light source, directional and high power, the laser radar has a high temporal resolution and the detection accuracy in the detection of atmospheric aerosol, inversion of atmospheric aerosol has important scientific significance and application value. In this paper, the Raman Mie lidar system based on improved focuses on atmospheric aerosol inversion method, based on Simulation Analysis on the system calculation and error tracing, first consider the effect of atmospheric temperature, the use of rotational Raman scattering on the inversion of atmospheric aerosol scattering meter The glue is optimized, put forward a new algorithm of Raman-Mie, compared with the Raman-Mie method does not consider the influence of atmospheric temperature, Mie scattering inversion of aerosol backscatter coefficient precision optimization 1.1 * 10-4km-1sr-1, the relative inversion precision optimized 15.8%; combined with the foundation of lidar inversion of atmospheric aerosol optimized laser radar satellite data CALIOP, the new algorithm is compared with the Raman-Mie foundation, aerosol backscattering coefficient inversion accuracy optimization 1.6 * 10-3 km-1sr-1, the relative inversion precision 8.6% optimization, and put forward a kind of spaceborne lidar data foundation - a new method for calibration of lidar geometrical factor foundation; verification of the above optimization method finally use the measurement system of Beijing in 2012 and in 2013, according to the analysis of aerosol data, the seasonal distribution characteristics of aerosol in Beijing Beijing as a result of the fall of 2012 summer two season after the extinction of cirrus The monthly mean scattering ratio was 23.85 + 3.05sr. The effect of atmospheric temperature on cloud aerosol is higher than that of the cloud aerosol 16.5%, Beijing 2013 summer and winter inversion data showed that the effect of atmospheric temperature on the aerosol, summer is up to about 20%. In winter the main research contents are as follows: (1) according to the Raman - M laser radar system on the SNR of the simulation, the selection of technical parameters are given according to the calibration of the system; complete the instrument constant and geometric factor; according to the simulation results of the system detection error source analysis and gives the corresponding solutions; (2) analysis of the sources of Raman Mie lidar system signal noise, the classification method is proposed; 5 point smoothing and wavelet transform to the detection system of original data filtering and denoising, can effectively retain the mutation data channel Interest; (3) the effect of atmospheric temperature on the aerosol retrieval, put forward a new algorithm of Raman-Mie, the use of rotating on the Mie scattering of atmospheric aerosol inversion optimization using Raman scattering, atmospheric molecular backscattering coefficient of actual calculation instead of standard atmospheric extinction model parameters is verified by the actual data, based on the Raman Mie Lidar atmospheric aerosol retrieval software; (4) combined with the star on the foundation of Mie scattering lidar aerosol loading optimization CALIOP laser radar Level1B data, compared with the new algorithm foundation Raman-Mie, to further improve the accuracy of laser radar ground inversion of the aerosol, verified by the actual data, and proposes a combination of satellite ground laser radar data inversion of Ground Lidar geometrical factor method; (5) the above optimization using 2012 and 2013 Beijing Aerosol Observation Data The verification method, the Beijing area in summer and winter was calculated by PM2.5-AOD (Aerosol Optical Depth) empirical formula; from the aerosol optical depth in Beijing area, the lidar ratio of clouds and aerosol effects of atmospheric temperature on the three level of Beijing aerosol seasonal distribution characteristics were studied.

【學(xué)位授予單位】：北京理工大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2015
【分類號(hào)】：TN958.98

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