Vertical structures of PM10 and PM 2.5 and their dynamical character in low atmosphere in Beijing urban areas

The vertical structures and their dynamical character of PM2.5 and PM10 over Beijing urban areas are revealed using the 1 min mean continuous mass concentration data of PM2.5 and PM10 at 8, 100, and 320 m heights of the meteorological observation tower of 325 m at Institute of Atmospheric Physics, Chinese Academy of Sciences (IAP CAS tower hereafter) on 10―26 August, 2003, as well as the daily mean mass concentration data of PM2.5 and PM10 and the continuous data of CO and NO2 at 8, 100 (low layer), 200 (middle layer), and 320 m (high layer) heights, in combination with the same period meteorological field observation data of the meteorological tower. The vertical distributions of aerosols observed on IAP CAS tower in Beijing can be roughly divided into two patterns: gradually and rapidly decreasing patterns, I.e. The vertical distribution of aerosols in calm weather or on pollution day belongs to the gradually decreasing pattern, while one on clean day or weak cold air day belongs to the rapidly decreasing pattern. The vertical distributive characters of aerosols were closely related with the dynamical/thermal structure and turbulence character of the atmosphere boundary layer. On the clean day, the low layer PM2.5 and PM10 concentrations were close to those at 8 m height, while the concentrations rapidly decreased at the high layer, and their values were only one half of those at 8 m, especially, the concentration of PM2.5 dropped even more. On the clean day, there existed stronger turbulence below 150 m, aerosols were well mixed, but blocked by the more stronger inversion layer aloft, and meanwhile, at various heights, especially in the high layer, the horizontal wind speed was larger, resulting in the rapid decrease of aerosol concentration, I.e. Resulting in the obvious vertical difference of aerosol concentrations between the low and high layers. On the pollution day, the concentrations of PM2.5 and PM10 at the low, middle, and high layers dropped successively by, on average, about 10% for each layer in comparison with those at 8 m height. On pollution days, in company with the low wind speed, there existed two shallow inversion layers in the boundary layer, but aerosols might be, to some extent, mixed below the inversion layer, therefore, on the pollution day the concentrations of PM2.5 and PM10 dropped with height slowly; and the observational results also show that the concentrations at 320 m height were obviously high under SW and SE winds, but at other heights, the concentrations were not correlated with wind directions. The computational results of footprint analysis suggest that this was due to the fact that the 320 m height was impacted by the pollutants transfer of southerly flow from the southern peripheral heavier polluted areas, such as Baoding, and Shijiazhuang of Hebei Province, Tianjin, and Shandong Province, etc., while the low layer was only affected by Beijing's local pollution source. The computational results of power spectra and periods preliminarily reveal that under the condition of calm weather, the periods of PM10 concentration at various heights of the tower were on the order of minutes, while in cases of larger wind speed, the concentrations of PM2.5 and PM10 at 320 m height not only had the short periods of minute-order, but also the longer periods of hour order. Consistent with the conclusion previously drawn by Ding et al., that air pollutants at different heights and at different sites in Beijing had the character of "in-phase" variation, was also observed for the diurnal variation and mean diurnal variation of PM2.5 and PM10 at various heights of the tower in this experiment, again confirming the "in-phase" temporal/spatial distributive character of air pollutants in the urban canopy of Beijing. The gentle double-peak character of the mean diurnal variation of PM2.5 and PM10 was closely related with the evident/similar diurnal variation of turbulent momentum fluxes, sensible heat fluxes, and turbulent kinetic energy at various heights in the urban canopy. Besides, under the condition of calm weather, the concentration of PM2.5 and PM10 declined with height slowly, it was 90% of 8 m concentration at the low layer, a little lesser than 90% at the middle layer, and 80% at the high layer, respectively. Under the condition of weak cold air weather, the concentration remarkably dropped with height, it was 70% of 8 m concentration at the low layer, and 20%―30% at the middle and high layers, especially the concentration of PM2.5 was even lower.     

辽宁省大民屯凹陷流体化学场特征及油气成藏意义

从地层水化学场、油气组成的非均质性两方面对辽宁省大民屯凹陷前第三系古潜山和下第三系沙河街组的流体化学场特征进行了分析.结果表明,该区地层水运动规律与油气运移模式吻合较好,即流体以"垂向流动"为主,受断裂和沉积砂体的控制,由沉积中心的中、深部沿断裂垂向运移,而后在各断块内侧向运移至各断块的高部位,横向运移效应只在局部小范围内规律显著,构成了典型的离心状渗流体系.在地层水水头压力、浮力动力场控制下该区形成了自生自储、下生上储、新生古储型油藏.     

黑石—大山盆地赋煤特征初步探讨

通过收集整理物探、钻探资料,分析了黑石—大山盆地煤层赋存规律,认为在盆地的斜坡地带煤层赋存较好,总结出含煤岩系及煤层的变化规律,指出下一步找煤方向——在黑石东—塔拉站区域及官地镇—大山林场区域。     

一次梅雨锋结构及锋区强度对锋面结构影响的数值模拟

利用中尺度模式MM5对1999年6月下旬发生在长江中下游地区的一次锋上西南低涡发展的梅雨锋暴雨过程进行了研究。通过敏感性试验, 探讨了低涡对锋强、 锋生的敏感性, 锋生、 锋消与低涡发展演变的时间空间上的联系等问题\.结果表明, 低涡对中层锋面强度的变化敏感, 中层锋强发生改变会导致整层涡度发生同位相的变化。中层系统对梅雨锋气旋的发展起主要作用, 中层锋面对低涡发展的影响比边界层锋更关键。中层锋面强度改变会激发出中低层的垂直次级环流, 低层的辐合上升运动发生改变, 最终影响到低涡强度的发展。敏感性试验证明, 锋面强度变化对低涡发展造成的影响有超前性, 中层锋面先发生变化, 6 h左右以后低涡强度发生改变。锋区强度和低涡强度发生变化的地理位置基本在同一经度上, 锋强变化的位置在涡强变化位置的北面。     

内蒙古固阳福顺店渣尔泰山群增隆昌组的风暴沉积特征

本文着重叙述了渣尔泰山群增隆昌组的沉积特征和沉积相序特征 ,并对其成因进行了分析 ,区内的增隆昌组白云岩为一风暴沉积相序 ,该相序的发现对进一步研究渣尔泰山群的沉积环境及古地理特征具有一定意义。     

辽宁雾预报区的划分初探

分析了1997—2006年辽宁境内能见度小于1000 m雾的时空分布特征。结果表明：就雾发生的频率而言,辽宁存在两个高值区和两个低值区,高值区分别位于黄海北部沿岸至辽宁东部山区和锦州北部至阜新一带,低值区分别位于辽宁中北部平原以及朝阳地区。从雾的日变化上看,近86%的雾出现在夜间,近69%的雾出现在02-08时,且多为辐射雾。地域不同但气候条件相近时,雾的日变化与雾发生的次数存在极其相似的特点。依据相似的地理环境和气候条件、雾的日变化特征以及雾发生次数等,将辽宁划分为5个预报区,对雾采取分区预报,以提高雾预报的准确率。     

豫北一次区域性大暴雨的数值模拟分析

利用NECP 1°×1°6 h再分析资料和WRF中尺度数值模式对2006年7月2-3日豫北区域性大暴雨过程进行数值模拟,并用模拟结果对该过程作中尺度分析.结果表明:暴雨中尺度系统发展和维持期间,基本上是强涡度区对应强辐合区,使得垂直对流运动发生发展,为强降水发生和持续提供了动力条件;θse值大小和实况降水强弱演变对应关系很好,θse值越大,实况降水越强,反之,实况降水越弱;豫北地区出现强降水时,水汽通量中心位于豫南且分布在西南急流轴上,豫中南部始终维持一条明显的水汽输送带,水汽被源源不断地输送到豫北地区;豫北地区处于明显的水汽辐合区,强辐合区有一自西向东的移动过程,与实况强降水过程演变趋势一致;大暴雨区域上空从低层到对流层顶层垂直螺旋度均为正值,且强降水时段与螺旋度最强时段对应关系很好,降水峰值与正螺旋度中心出现时间吻合.     

LAPS的设计原理、模块功能与产品应用

我国中尺度气象观测网数据日益丰富,如何对这些数据进行分析应用以更好地为天气预报服务,是一个亟待解决的问题.局地分析预报系统(LAPS)较好地解决了这一难题,其算法透明,计算速度快,分析场接近实况,满足业务需求,便于预报员直接应用.为了帮助相关气象业务岗位上技术人员了解并较好地应用LAPS(http://www.whihr.com.cn/laps/main.aspx),本文详细介绍了LAPS的各模块功能及设计原理,并对武汉暴雨所应用LAPS的有关情况进行了简要说明.     

一次暴雨过程预报的多模式NWP产品与物理参数的综合分析应用

对照常规天气图实况资料,检验几种常用NWP产品对2008年7月5日山东一次强降水过程的形势场预报和降水预报,并对其物理量场进行诊断分析.结果表明,暴雨落区与诸多物理量场的配置紧密相关;暴雨区出现在低层水汽辐合中心移动路径上,位于与水汽通量散度强辐合中心和强上升运动中心接近处;暴雨区移动方向与水汽通量大值中心、△θse(500-850)负值中心长轴方向一致,水汽通量散度低层辐合、高层辐散两者均满足时有利于强降水发生;200 hPa高空辐散的抽吸作用远比仅有低层辐合更有利于上升运动发展;地面强降水区出现在200 hPa强辐散中心所在处.     

华南区域季节性降水的差异分析

运用EOF方法研究华南区域降水时空分布特征,结果表明：（1）华南地区各季节降水在年际和年代际的时间变化上有区域一致性,但有季节性差异,其中春季和秋季在20世纪80年代后降水明显减少,旱年增多;而夏季90年代后降水明显增加,涝年增多;冬季变化则不明显。（2）华南地区各季节降水在空间分布上也有差异,其中春季降水呈现东多西少的分布特征,大值中心位于广西东北部、广东中部及西南沿海。夏季和秋季降水相似,呈南多北少的分布特征,大值中心位于广西沿海和广东西南沿海。冬季降水呈东北多西南少的分布特征,大值中心位于粤北。