本文選題：顆粒物質(zhì)量濃度 + 復折射率��； 參考：《西安理工大學》2017年碩士論文

【摘要】：隨著我國工業(yè)化和城市化進程的迅速發(fā)展,以PM2.5為代表的大氣顆粒物環(huán)境污染成為影響我國空氣質(zhì)量和民眾健康的突出問題。目前,對顆粒物質(zhì)量濃度的探測仍主要局限于地面點測量、布網(wǎng)測量和間接等效測量等方法,亟待需要可以實現(xiàn)大范圍、大尺度、高空間分辨率的顆粒物質(zhì)量濃度新算法。本文主要對激光雷達探測顆粒物質(zhì)量濃度新型算法的適用范圍進行估計。新型顆粒物質(zhì)量濃度算法以多波長激光雷達回波信號數(shù)據(jù)為基礎(chǔ)反演大氣氣溶膠光學參數(shù),利用氣溶膠體積譜結(jié)合米散射理論得到的消光效率來計算顆粒物質(zhì)量消光效率,再通過實測消光系數(shù)獲得顆粒物質(zhì)量濃度。本文基于激光雷達回波信號數(shù)據(jù)反演得到顆粒物質(zhì)量濃度,分析西安地區(qū)不同天氣下算法參數(shù)(復折射率、粒子半徑等)對反演結(jié)果的影響。反演結(jié)果表明,對無云天氣、云層外、以及霧霾天氣邊界層上的大氣進行探測時,顆粒物質(zhì)量濃度與消光系數(shù)的變化趨勢基本一致,復折射率對其變化趨勢影響較小,不同的粒子半徑下反演結(jié)果與實際相符。無云及多云天氣云層外的不同波長探測的質(zhì)量濃度最大差值較小,而邊界層內(nèi)霧霾主要發(fā)生區(qū)域的最大差值較大,不同波長的反演結(jié)果重合度低,該算法不適用于霧霾天氣邊界層內(nèi)的顆粒物質(zhì)量濃度反演。云內(nèi)的復折射率對反演質(zhì)量濃度的變化趨勢影響較大,反演得到的不同粒徑顆粒物質(zhì)量濃度差異較大,說明該算法同樣不適用于云粒子的參量反演。分別對不同天氣條件下的顆粒物質(zhì)量濃度反演結(jié)果(65組)進行統(tǒng)計分析,以進一步確定該算法的適用范圍。重點考察了顆粒物質(zhì)量濃度與消光系數(shù)之間的變化趨勢是否一致,不同波長探測的顆粒物質(zhì)量濃度的最大差值,以及同一波長探測下,不同粒徑的顆粒物質(zhì)量濃度的變化規(guī)律,評估不同大氣狀況、粒徑分布和大氣高度的適用范圍。統(tǒng)計分析表明,算法能夠較為準確的反映邊界層高度(約1.5km)之上,粒子直徑小于2.5μm和10μm的無云、霧霾和多云天氣云層外的顆粒物質(zhì)量濃度的變化趨勢。
[Abstract]:With the rapid development of industrialization and urbanization in China, the environmental pollution of atmospheric particulates, represented by PM2.5, has become a prominent problem affecting the air quality and the health of the people in China. At present, the detection of mass concentration of particulate matter is still mainly limited to ground point measurement, netting measurement and indirect equivalent measurement. It is urgent to realize a new algorithm of mass concentration of particulate matter in large range, large scale and high spatial resolution. In this paper, the application range of a new algorithm for detecting particle mass concentration by lidar is estimated. Based on the echo signal data of multi-wavelength lidar, the new particle mass concentration algorithm is used to invert the optical parameters of atmospheric aerosol. The extinction efficiency of aerosol mass is calculated by using aerosol volume spectrum combined with the extinction efficiency obtained by rice scattering theory. The mass concentration of particulate matter was obtained by measuring extinction coefficient. Based on the data of laser radar echo signal, the particle mass concentration is obtained, and the influence of algorithm parameters (complex refractive index, particle radius, etc.) on the inversion results in different weather conditions in Xi'an region is analyzed. The inversion results show that the variation trend of particle mass concentration and extinction coefficient is basically consistent with that of cloud free weather, outside clouds and the atmosphere on the haze weather boundary layer, while the complex refractive index has little effect on the change trend. The inversion results under different particle radius are in agreement with the actual results. In cloudless and cloudy weather, the maximum difference of mass concentration of different wavelengths is small, while the maximum difference of the main region of haze in the boundary layer is larger, and the coincidence of the inversion results of different wavelengths is low. This algorithm is not suitable for the inversion of particle mass concentration in the haze weather boundary layer. The complex refractive index in the cloud has a great influence on the change trend of the inversion mass concentration, and the difference of the mass concentration of different particle size obtained from the inversion is quite large, which indicates that the algorithm is not suitable for the parameter inversion of cloud particles. The inversion results of particle mass concentration under different weather conditions were analyzed statistically in order to further determine the applicable range of the algorithm. The variation trend between particle mass concentration and extinction coefficient, the maximum difference between particle mass concentration detected at different wavelengths and the variation law of particle mass concentration with different particle size under the same wavelength detection were investigated. To evaluate the applicable range of different atmospheric conditions, particle size distribution and atmospheric height. Statistical analysis shows that the algorithm can accurately reflect the change trend of particle mass concentration above boundary layer height (about 1.5km), particle diameter less than 2.5 渭 m and 10 渭 m, haze and cloud layer outside cloud layer.
【學位授予單位】：西安理工大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TN958.98

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本文編號：1890575