CAJ | 학술논문

基于0.86μm波段气溶胶的体散射数据，提出了一种新的尺度谱反演方法。根据大气气溶胶尺度谱特征，将尺度谱函数n(r)分解为趋势变化函数H(r)和细节变化函数(r)，并构造了一组新的基函数对(r)进行参数化逼近，然后严格依照Mie散射理论，采用Tikhonov正则化对尺度谱函数进行了反演。采用城市型、乡村型和海洋型气溶胶的尺度谱实测数据进行反演仿真，结果表明，在粒径0.2~10μm区间、噪声不大于50%的条件下，实际与反演的尺度谱曲线相关系数高于0.98，表现出良好的抗噪声能力；针对小尺寸段(r<0.2μm)反演结果的不稳定性，提出了小尺寸段的荣格分布修正法与细模态参数补偿法，模拟结果表明，两种方法对尺度谱修正效果较理想，在0.1~10μm区间，实际与反演尺度谱曲线相关系数大于0.97。与基于遗传算法的尺度谱反演方法相比，该方法效率高，耗时短，且对尺度谱函数细节变化特征反演较好。
기우0.86μm파단기용효적체산사수거，제출료일충신적척도보반연방법。근거대기기용효척도보특정，장척도보함수n(r)분해위추세변화함수H(r)화세절변화함수(r)，병구조료일조신적기함수대(r)진행삼수화핍근，연후엄격의조Mie산사이론，채용Tikhonov정칙화대척도보함수진행료반연。채용성시형、향촌형화해양형기용효적척도보실측수거진행반연방진，결과표명，재립경0.2~10μm구간、조성불대우50%적조건하，실제여반연적척도보곡선상관계수고우0.98，표현출량호적항조성능력；침대소척촌단(r<0.2μm)반연결과적불은정성，제출료소척촌단적영격분포수정법여세모태삼수보상법，모의결과표명，량충방법대척도보수정효과교이상，재0.1~10μm구간，실제여반연척도보곡선상관계수대우0.97。여기우유전산법적척도보반연방법상비，해방법효솔고，모시단，차대척도보함수세절변화특정반연교호。
Based on volume scattering data at 0.86 μm, a new method for retrieving aerosol size distribution functions was put forward. According to the characteristics of aerosol size distribution, size distribution function n (r) was broken into two part, whole-trend function H (r) and detail-describing function (r), and a new series of basis functions were advanced and employed to approach (r). To overcome ill-posed nature in retrieval process, Tikhonov regularization method was combined with Mie scattering theory to strengthen the capabilities to void the influence of measurement noise and errors caused by numerical integration. Retrieval simulations are performed with size distribution data measured by Anhui Institute of Optics and Fine Mechanics, which represents three different kinds of aerosol, urban, rural and oceanic. Results show that, when radius of particles is larger than 0.2 μm, the curve of retrieved size distribution function nearly coincides with that of actual size distribution, and their correlation coefficient is larger than 0.98 on condition that measurement noise isn't larger than 50%. Good robustness is also exhibited in the model put forward here; however when radius is smaller than 0.15μm, there is some deviation when measurement noise is large. To overcome this problem, Junge-correction method and accumulation-mode-compensation method were put forward, corrected results of retrieval size distributions show great consistency with actual size distribution. Compared with retrieval method based on intelligent algorithm, method here is more effective and less time-consuming, and has advantage in retrieving the detail characteristics of aerosol size distribution.