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Inversion Of The Radiative Properties Of Aerosol Particles And Simulation Of Atmospheric Radiative Transfer

Posted on:2015-08-14Degree:MasterType:Thesis
Country:ChinaCandidate:X SunFull Text:PDF
GTID:2181330422491896Subject:Engineering Thermal Physics
Abstract/Summary:PDF Full Text Request
As a widely suspended particulate matter in the atmosphere, aerosol particle plays animportant role in atmospheric radiation transmission and climate change. The absorption andscattering of aerosol particles have an effect on the solar shortwave radiation and theatmospheric longwave radiation;As cloud condensation nuclei, atmospheric aerosol particlescan change the radiation characteristics of cloud to influence the process of atmosphericradiation transmission. So it is particularly important to research the radiation characteristics ofaerosol particles. At present, the research of radiation characteristics of aerosol particlesinvolves a lot of military field and civilian field, such as laser detection, infrared stealth,environmental monitoring, and satellite remote sensing. Aerosol particles have extensivesources, complex chemical composition and short reside life, which resulted in its regionalcharacter, timeliness and variability. So this article focuses on the research of the measure ofspectral complex refractive index, the inversion of particle size distribution and the influence ofaerosol radiation force on atmospheric radiative transfer in Harbin and Sanya.In this paper, experimental platform existed our laboratory for measuring spectraltransmittance of aerosol particles is used for spectral transmittance of particles, incloudingMgO, graphite particle, ZrO2. we inverse the spectra complex refractive index combining withK-K relation and compare with the literature to prove credibility of experiments; then Harbincity and Harbin Songhua River were extracted to solve complex refractive index of aerosolparticles, and it was found that the complex refractive index of aerosol and water-solubleaerosol near Harbin Songhua River area matched.Then based on spectral extinction law, quantum particle swarm optimization algorithmwas used as inversion theory for inversing the given typical aerosol size distribution; as a result,unimodal, bimodal logarithmic-normal distribution and the unimodal Gamma distributioncould be accurately inversed. Even when the impact of the presence of measurement error wasconsidered, quantum particle swarm algorithm was still able to get a precise value afterinversion.Finally, SBDART mode was used to calculate atmospheric radiation transmission processin Harbin and Sanya, and influence of different aerosol modes(including different visibility anddifferent types of aerosols) was researched on atmospheric radiation transmission. Visibilityaffects ground aerosol particle number density; under the same atmospheric mode,optical thickness of ocean aerosol was greater than that of urban and rural aerosol, and opticalthickness of urban aerosol was slightly larger than that of the rural aerosol. Considering thecase of the solar elevation angle, the paper calculated atmospheric radiative transfer at differenttime during one day and different months during one year in Harbin and Sanya respectively.The results indicated that the seasonal variation characteristics of atmospheric radiationtransmission in Harbin are more obvious than sanya.
Keywords/Search Tags:Aerosol, Complex Refractive Index, Particle Size Distribution, Quantum ParticleSwarm Optimization Algorithm, SBDART
PDF Full Text Request
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