北京地区大气气溶胶光学特性监测研究

该文依据气溶胶光学厚度测量原理,利用CE318太阳光度计,于2000年7月～2001年7月期间对北京地区大气气溶胶光学厚度进行观测试验,计算得到约50天的气溶胶光学厚度和Junge参数等大气光学特性数据,给出了北京地区气溶胶光学特性分布特征.计算统计得到北京城区晴空条件下的Junge参数为3 15、2001年3月份沙尘天气状况下急剧下降为2.28,而北京郊区顺义县的测量结果介于二者之间为2.65.分析表明,由试验获得的气溶胶光学特性数据对于分析和监测北京地区大气污染、改善北京地区空气质量具有一定的意义.     

北京风沙天气的气溶胶特征

利用常规气象观测资料、卫星云图以及1988、1990、1992、1993、1995、2000年等年北京风沙天气期间所采集的气溶胶样品的分析结果,研究了北京的风沙天气分布特征,风沙期间大气污染状况,产生风沙天气的主要原因及沙尘的来源等.初步得出北京的风沙天气主要出现在春季,是造成春季大气污染的重要原因之一;北京春季风沙天气是由沙尘暴、浮尘和扬沙造成,但以扬尘引起的频率为最高,占71.4%;风沙期间大气气溶胶与无风沙时气溶胶的物理化学特征有明显的差异;大气气溶胶的物理化学特征显示出,风沙期间的大气气溶胶主要来源于自然源,以局地尘源为主,人为排放的气溶胶作用相对减弱.     

利用TOMS资料遥感沙尘暴的研究

研究了利用TOMS资料定量遥感沙尘暴的方法，并利用该方法遥感了1998年4月15日发生在中蒙边境地区的一次沙尘暴过程，得到了沙尘暴的发生、发展、强度以及影响范围等特征．结果表明，该方法基本上可以排除云的影响，能够定量遥感沙尘暴的动态发展过程，是一个较好的沙尘暴遥感方法．     

水云的长波光学性质参数化

在研究水云的微物理性质与光学性质关系的基础上，提出了三种用于长波区域窄带和宽带水云光学性质计算的参数化方案，研究了应用不同的水云光学性质参数化方案和不同的宽带数目对云辐射性质的影响。分析了云滴的散射作用对有云大气中长波辐射通量和冷却率的影响。     

Diffusion aerosol spectrometer

The diffusion aerosol spectrometer for the measurements of particle size spectra and concentration levels is described. It includes three principal parts: (i) a block of diffusion batteries for measuring the particles, whose size does not exceed 0.15 μm, (ii) the particle amplifier for growing the particles passing through the diffusion batteries up to optically distinguishable sizes and (iii) the laser aerosol spectrometer, which counts the amplified particles and may also serve for independent measurements of particle size spectra within submicron size range. The tandem including: diffusion batteries+laser aerosol spectrometer allows for detecting particles of radius >3 nm at maximal concentration up to 2×10⁴ particles/cm³. The tandem is managed either by PC or manually. The instrument is designed for studying aerosols in the atmosphere and for ecological measurements.     

The effect of aerosols on the temperatures of a zonal average climate model

The effect of atmospheric aerosols on the temperatures of a zonal average climate model is investigated. This is done by introducing into the climate model the results of extensive calculations of the effect of aerosols on the partitioning of solar radiation. Calculations are performed for a non-absorbing and a sloghtly absorbing aerosol, for average and for heavy aerosol amounts. The results indicate that the presence of atmospheric aerosols causes a cooling of the earth's surface and atmosphere, at all latitudes, with aerosol amounts, especially for the absorbing aerosols. The results are compared with some of the previous estimates of aerosol effects on climate.     

Effects of organic aerosol constituents on extinction and absorption coefficients and liquid water contents of fogs and clouds

We have speculated on the influence of organic material on extinction and absorption coefficients and liquid water content of fogs and of clouds immediately after their condensational stage. It results therefore, that the reduction of the speed of growth from fog to cloud droplets due to the presence of organic films largely reduces the properties mentioned. Compared to that their increase coming from the surface tension reduction due to organic material being dissolved or building up films is expected to be less effective.     

Organic compounds in aerosol samples

In 1975, aerosols were collected with high-volume-samplers and impactors on the west coast of Ireland. The ether extractable organic material (EEOM) was separated into three main fractions: bases (B), acids (A), and neutral compounds (N). Each fraction is a very complex mixture of numerous species. Detailed investigations were carried out on these three main fractions. The individual species were determined quantitatively by gas chromatography. Qualitative identification was done by combined GC-MS.The concentration of total particulate matter (TPM) was in the range of 10 g/m³ (STP) air and the concentration of EEOM was 1 g/m³. The relative composition of the EEOM with regard to the main fractions A, B, and N was N>A>B — the same as in previous measurements. Particles with radii <1 m were investigated separately and showed an enrichment in organic matter.A comparison of individual species from several sample locations is now possible for then-paraffins C₁₀ to C₂₈. The concentrations of all thesen-paraffins are below 10 ng/m³, with no overall obvious preference for specific compounds and no obvious dependence on particle size above or below 1 m radius.A preliminary survey does not show any characteristic differences in the relative composition of the organic constituents of clean air aerosols from different sampling localities. The relative composition with regard to the three main fractions is rather uniform in clean air samples and in samples from polluted regions.     

Humidity effects on gravitational settling and Brownian diffusion of atmospheric aerosol particles

The dependency on relative humidity of the settling velocity of aerosol particles in stagnant air and of the diffusion coefficient due to Brownian motion of aerosol particles was computed for six aerosol types and different particles sizes in dry state. The computations are based (1) on mean bulk densities of dry aerosol particles obtained from measurements or from the knowledge of the chemical composition of the particles, (2) on micro-balance measurements of the water uptake per unit mass of dry aerosol substance versus water activity at thermodynamic equilibrium, and (3) on measurements of the equilibrium water activity of aqueous sea salt solutions. The results show a significant dependence of the settling velocity and Brownian diffusion of aerosol particles on relative humidity and on the particle's chemical composition.Nomenclature A surface parameter of a particle - B surface parameter of a particle - c _L velocity of sound in moist air - C 1+Kn[A+Qexp(–B/Kn]=slip correction - D diffusion coefficient of a particle - D ₁ D(=1)=diffusion coefficient of a spherical particle - f P _w /P _we (T,P)=relative humidity (f=0 dry air,f=1 saturated air) - g acceleration due to gravity - g |g| - k 1.3804×10^–16 erg/°K=Boltzmann constant - Kn _L /r=Knudsen number of a particle - Kn _{0 0L} /r ₀=Knudsen number of a dry particle - m 4r ³/3=mass of a particle - m _L 4r ³ _L /3=mass of the moist air displaced by a particle - M mobility of a particle - M ₀ molar mass of dry air - M _w molar mass of water - Ma |u–u _L |/c _L =Mach number of the particles motion relative to the ambient air - n particle number per unit volume of air - P P ₀+P _w =pressure of the moist air - P ₀ partial pressure of the dry air - P _w partial pressure of the water vapour - P _we P _we (T,P)=equilibrium partial water vapour pressure over a plane surface of water saturated with air - Q surface parameter of a particle - r equivalent radius of a particle (radius of a sphere with the particles volume) - r ₀ equivalent radius of a particle in dry state - R 1+0.13Re ^0.85=inertia correction - R ₀ specific gas constant of dry air - R _w specific gas constant of water - Re 2r _L u–u _L / _L =Reynolds number of the particles motion relative to the ambient air - t time - T absolute temperature - u velocity of a particle - u (amount of the) settling velocity of a particle in stagnant air - u ₁ u(=1)=(amount of the) settling velocity of a spherical particle in stagnant air - u _L velocity of the ambient moist air (far enough from the particle where the flow pattern remains undistorted) - W drag coefficient of a particles equivalent sphere - empirical parameter in equation (3.1) - dynamic viscosity of a particles liquid cover - _L dynamic viscosity of moist air - _0L dynamic viscosity of dry air (at the same pressure and temperature like the moist air) - celsius temperature - dynamic shape factor of a particle (=1 for a sphere) - ₀ dynamic shape factor of a dry particle - _L mean free path of the molecules in moist air - _0L mean free path of the molecules in dry air (at the same pressure and temperature like the moist air) - _Po mean free path of the molecules in dry air at the pressureP ₀ of the dry air and the temperature given - factor of solid to liquid change-over (=1 for a solid particle) - mean bulk density of a particle - _L density of the moist air - _0L density of the dry air at the same pressure and temperature like the moist air - ₀ mean bulk density of a dry particle - ₀ mean diameter of the molecules of dry air - _w diameter of water molecules - relaxation time of a particle - gradient operation - 3.141593     

利用矩阵分解理论的双程波方程叠前深度偏移方法

叠前深度偏移理论及方法一直是地震数据成像中研究的热点问题.业界对单程波叠前深度偏移方法和逆时深度偏移开展了深入的研究,但对双程波方程波场深度延拓理论及成像方法的研究还鲜有报道.本文以地表记录的波场值为基础,利用单程波传播算子估计波场对深度的偏导数,为在深度域求解双程波方程提供充分的边界条件,并提出利用矩阵分解理论实现双程波方程的波场深度外推.通过对强速度变化介质中传播波场的计算,与传统的单程波偏移方法相比,本文提出的偏移方法计算的波场与常规有限差分技术计算的波场相一致,证明了本方法计算的准确性.通过对SEAM模型的成像,在相同的成像参数下,与传统的单程波偏移算法和逆时深度偏移算法方法相比,本文提出的偏移方法能够提供更少的虚假成像和更清晰的成像结果.本文所提偏移算法具有深度偏移和双程波偏移的双重特色,推动和发展了双程波叠前深度偏移的理论和实践.