沈阳地区沙尘天气分析

本文总结了沈阳地区沙尘天气的时空分布特点，从天气条件、地表自然条件(沙源)两方面分析了沈阳地区沙尘天气的成因，总结了沈阳地区预报沙尘天气时应参考的5个因素。     

沙尘暴常规观测资料中若干问题的解析

沙尘暴常规观测资料主要来自地面气象观测系统,是揭示沙尘暴的时空分布特征和变化规律的重要基础,其内在属性明显地受到地面气象观测规范和统计规范的制约,而且同样明显地受到两个规范变革的影响,但是这些问题在以往的沙尘暴研究中没有引起足够的重视,常常被忽视掉了,因此最终形成了一些似是而非的认识.该文从中国沙尘暴的观测规范和统计规范入手,探讨了其变革对沙尘暴内在统计特征的影响.另外,文章还分析了沙尘暴与其它沙尘天气的同日出现问题,以及沙尘暴资料时间序列的统计分布特征.     

中国春季沙尘天气频数的时空变化及其与地面风压场的关系

文中利用EOF和SVD方法分析了近半个世纪中国春季沙尘天气频数的时空分布特征及其与近地面风速和海平面气压的关系。中国北方大部分地区春季沙尘天气发生频数近半个世纪呈减少趋势 ,2 0世纪 70年代末以前沙尘天气发生频数较多 ,70年代末开始逐渐减少 ,1997年降到最低值 ,同期中国近地面风速也呈减小趋势 ,两者之间存在显著相关。春季海平面气压场与中国沙尘天气的发生频数有十分密切的联系 ,海平面气压在中高纬度地区降低 ,中低纬度地区升高 ,气压梯度发生改变 ,从而引起地面风速减小 ,进一步影响到沙尘天气发生频数减少     

内蒙古中西部地区土壤水分对沙尘暴的贡献

以2001年4月至2002年6月内蒙中部地区逐时观测的土壤水分资料为基础，论证了该区日土壤水分和日平均风速的变化规律，统计分析了日平均风速与土壤水分对沙尘暴的成生综合贡献。得出的主要结论是：①该地区沙尘暴发生时日平均风速的最小值是3．5m／s。如果日平均风速大于8．0m／s，预示着有沙尘暴的发生。②在平均风速大于3.5m／s的条件下，观测样本中18．4％日数发生沙尘暴，而81．6％日数没有发生。说明大风的天气条件不应当被视其为沙尘暴的唯一重要的因子。③在同一地点、同样的风力条件下，在沙尘暴发生时，日平均风速与日平均土壤水分呈明显的反相关变化；而它们的反相关关系不明显时，沙尘暴就很少发生。     

Satellite-measured atmospheric aerosol content in Korea: anthropogenic signals from decadal records

Spatiotemporal characteristics and anthropogenic signals of aerosol optical thickness (AOT) distributions over Korea are investigated in this study using AOT time-series data from the Moderate Resolution Imaging Spectroradiometer (MODIS). AOT observations, a quantitative measure of the atmospheric quality, had significant geographical variations during the study period (2000–2010). Comparing metro cities or counties with similar populations, western regions showed higher AOT values than eastern regions. Particular matter with a diameter < 10 µm (PM₁₀), including aeolian dust or yellow dust, is the primary component of atmospheric aerosols, and their transport into the region has shown a strong seasonal pattern with its peak from March to April and lows from July to September. These seasonal dust patterns, however, did not correspond well to temporal AOT records, which typically reached the maximum level in June nationwide. Rather, widespread regional fire events and humidity showed significant correlations with AOT time-series. This correlation rapidly increased as the range of fire occurrence was extended to the west as far as 115°E. The relative humidity also had a significant correlation with AOT during the month of June. In addition to urban emission of anthropogenic aerosols, regional biomass burning and secondary growth of hygroscopic aerosols are considered important contributors to the degradation of the atmospheric environment during the non-Asian Dust season over the Korean Peninsula.     

青藏高原东北部降尘通量及粒度特征分析

青藏高原东北缘是柴达木沙尘暴东移的必经之道和沉降区,对青藏高原东北部降尘时空分异特征进行分析,有助于认识青藏高原区域粉尘输送的现代过程和机制。2013年12月至2015年5月分别在青海湖小泊湖(XBH)、西宁多巴(DB)、西宁青海师大科技楼顶(KJLD)设置降尘缸,进行湿法收集。对其降尘通量和粒度特征进行了时空分异特征分析,结果显示,1)西宁地区2014年降尘通量为442~542 g/m~2·a,青海湖XBH采集点指示的2014年降尘通量为415 g/m~2·a,降尘通量年际变化较大,各站点降尘通量季节变化趋势一致,降尘主要集中在冬春季,夏季降尘通量最低;2)各站点降尘粒度组成特征非常相似,以粉砂为主(4~63μm),西宁地区尘暴与非尘暴降尘粒度频率曲线呈近似正态分布,尘暴期间降尘粒径较非尘暴时段大;3)XBH、DB和KJLD 3点所有样品平均粒径分别为37μm、34μm和31μm,中值粒径分别为31μm、27μm和26μm;对比低海拔兰州尘暴粒径特征,发现降尘粒径存在一定的海拔依赖性,即粒度随海拔增高逐渐变粗。     

The granulometrical characteristics of a slowly-moving dust cloud

A torn-up road offered the opportunity to sample a dust cloud continuously at different heights during a time interval of 51 hours. In particular the granulometrical characteristics of the dust caught were investigated. It appears that if the air layer in the vicinity of a dust cloud is not too turbulent, the cloud will be clearly granulometrically stratified. The coarse material moves chiefly at the bottom of the cloud, whereas the fine material will occur both at the bottom and at the top. The experiment also shows that the higher the dust in the cloud, the worse it is sorted. Above a critical height, however, the degree of sorting increases again. The variation of the mean dust diameter d₅₀, as a function of the height z, can be expressed in a simple semi-logarithmic equation. The variation of the dust quantity G, as a function of the height z, can also be expressed in a semi-logarithmic form but the correlation is higher when a power equation is used. The ratio of fine silt to coarse silt seems to vary parabolically with height. One can only speak of an optimal transport height in the case of particles > 16 μm. For finer particles, the turbulence of a normal air stream is usually high enough to carry the particles anywhere in the dust cloud, so that one can no longer speak of an optimal transport height. The granulometrical border between aeolian transport in saltation and aeolian transport in suspension lies, according to the results of the experiment, at a diameter of about 63 μm.     

沙尘暴天气的归类判别分析预报模式

在大量分析了历史上 4 0年发生在内蒙古中西部地区的 37场沙尘暴天气过程的基础上 ,总结归纳了其大气环流特征 ,将他们划分成 4个环流类型。参考SaatyT .L .,提出的综合选优的方法[1] ,建立判别矩阵 ,然后计算归类判别预报 ,根据判别函数值判断实时待判样本的归属。参照归属类历史沙尘暴的天气形势和实况出现的范围以及强度作出沙尘暴天气预报 ,并设计了一个沙尘暴天气的归类判别分析预报模式。该模式已较成功地应用于 2 0 0 0年春季内蒙古地区的沙尘暴天气预报业务中 ,取得了较好的预报效果。实践证明 ,它是一个客观化、定量化和计算自动化的实用的预报模式 ,是我们目前作沙尘暴预报的重要技术手段之一。     

Determining the source of dust storms with use of coupling WRF and HYSPLIT models: A case study of Yazd province in central desert of Iran

Dust storm, which has a significant impact on regional air quality, is one of the most hazardous meteorological phenomena in the arid areas. Yazd province is one of the arid areas in Iran that is exposed to dust storms. In this study, two cases of dust storms of Yazd province are studied with the use of coupling numerical models and aerosol optical depth (AOD) from MODIS data. We investigated synoptic condition of such dust storms that were formed downstream of upper level through in the area by focusing on two storms, on May 24 and 25, 2014. For this purpose, a dynamic coupling of this case is done using WRF output the HYSPLIT model. This model was implemented to investigate the sources of the dust storms by calculating the back trajectories from the receptor sites. The trajectories indicated that the first and the second case storms occurred in the northeast and the south of Yazd respectively. These results also showed a good agreement with MODIS aerosol optical depth data and HYSPLIT back trajectories paths.     

Monte Carlo modeling of neutral gas and dust in the coma of Comet 1P/Halley

The neutral gas environment of a comet is largely influenced by dissociation of parent molecules created at the surface of the comet and collisions of all the involved species. We compare the results from a kinetic model of the neutral cometary environment with measurements from the Neutral Mass Spectrometer and the Dust Impact Detection System onboard the Giotto spacecraft taken during the fly-by at Comet 1P/Halley in 1986. We also show that our model is in good agreement with contemporaneous measurements obtained by the International Ultraviolet Explorer, sounding rocket experiments, and various ground based observations.The model solves the Boltzmann equation with a Direct Simulation Monte Carlo technique (Tenishev, V., Combi, M., Davidsson, B. [2008]. Astrophys. J. 685, 659-677) by tracking trajectories of gas molecules and dust grains under the influence of the comet’s weak gravity field with momentum exchange among particles modeled in a probabilistic manner. The cometary nucleus is considered to be the source of dust and the parent species (in our model: H₂O, CO, H₂CO, CO₂, CH₃OH, C₂H₆, C₂H₄, C₂H₂, HCN, NH₃, and CH₄) in the coma. Subsequently our model also tracks the corresponding dissociation products (H, H₂, O, OH, C, CH, CH₂, CH₃, N, NH, NH₂, C₂, C₂H, C₂H₅, CN, and HCO) from the comet’s surface all the way out to 10⁶ km.As a result we are able to further constrain cometary the gas production rates of CO (13%), CO₂ (2.5%), and H₂CO (1.5%) relative to water without invoking unknown extended sources.