江淮地区冬季一次罕见强对流风暴的数值模拟结果诊断分析

本文利用数值模拟的诊断分析结果对出现在江苏地区冬季的一次强对流风暴的成因进行了研究,结果表明,在河套气旋缓慢东移过程中,冷锋前暖区较长时期的大雾天气及下湿上干的湿度分布为强风暴的产生准备了大气层结不稳定的条件,中尺度辐合流场对强风暴的产生起了触发作用。对流云的下沉辐散气流是雷暴向前传播的重要机制。     

微X射线束荧光扫描成份分析研究：元素二维分布图

经过改进的微X射线扫描分析装置,扩大了测量范围;提高了位移精度;处理数据及绘制二维(平面)元素分布图实现计算机化。测量并绘制出大洋锰结核中多元素平面分布图。     

水中氯代烃单体碳同位素分析中预富集方法进展

高精度准确测定氯代烃单体碳同位素对示踪污染物来源,了解污染物的生物降解过程具有重要意义。在环境转化过程中,有机污染物的同位素组成可能是稳定不变的,也有可能发生改变。若污染物的同位素组成在迁移转化过程中不变,根据其同位素组成可以示踪污染物的来源;若同位素组成变化,根据同位素分馏结果,可以评价环境中有机污染物降解发生的可能性和程度。本文综述了固相微萃取、静态顶空进样、吹扫-捕集、多级串联技术等前处理方法与气相色谱-燃烧-同位素比值质谱仪(GC-C-IRMS)联用分析水中氯代烃单体碳同位素的研究进展,比较了分析方法的优缺点。液-液萃取较少用于水中氯代烃的单体同位素分析。静态顶空进样、固相微萃取、吹扫-捕集都是无溶剂富集技术,与GC-C-IRMS联用分析水中氯代烃单体同位素过程中不存在或存在小且恒定的可校正的同位素分馏,分析精度一般优于1‰,没有二次污染,降低了杂质干扰,提高了GC-C-IRMS的分辨率和分析精度,降低了检测限。从静态顶空进样、固相微萃取、吹扫-捕集,到多级串联等技术与GC-C-IRMS联用分析水中氯代烃单体同位素比值,检测限逐渐降低。目前,吹扫-捕集-GC-C-IRMS在分析水中氯代烃中应用最广泛,重现性好、检测限低。针内微萃取、管内微萃取、搅动棒吸附萃取和顶空进样吸附萃取等前处理方法与GC-C-IRMS仪联用具有一定的应用前景。     

衡阳南岳区农村居民点用地合理布局分析

城镇化水平的快速推进和社会主义新农村建设的开展给建设用地供给和耕地保护形成了巨大的压力。农 村居民点用地普遍散乱、粗放的现象为挖掘现有建设用地潜力,少占耕地提供了可能。以衡阳南岳区为例,应用GIS 空间分析与景观指数分析等方法,在分析社会经济、自然地理和生产环境三方面的主要因素对南岳区农村居民点 用地布局的影响后,提出引导南岳区农村居民点合理布局的对策与建议。     

湖南省城市化与经济发展关系的计量分析

运用现代计量经济学的计量分析方法对湖南省城市化与经济发展的相互关系与相互作用进行了探讨。结果表明,城市化与经济发展二者之间存在协整关系即长期均衡关系,但短期失衡,其波动有近35％得到调整;经济发展对城市化的冲击强烈,其解释水平高达到82％;城市化对经济发展冲击微弱,其解释水平仅达到5．4％;经济发展来自自身的冲击较大,而城市化来自本身冲击较小,但有增强趋势。经济发展与城市化二者之间的这种关系作用应引起关注。     

岩体结构统计均质区的划分

本文介绍由Ｍｉｌｌｅｒ提出的基本概率统计理论的关联表分析，结合施密特投影图研究岩体统计均质区的划分方法。对该法进行了适当的修改，编写了相应的计算机程序。并对三峡永久船闸地区的岩体结构，进行了岩体结构统计均质区的划分，获得了良好的效果。     

冬春季切变类冰雹发生条件的对比分析

本文以 1996年 12月 31日和 1981年 5月 1日为例 ,对冬、春季节发生在江苏的较大范围的切变类冰雹天气过程作了对比分析。结果指出 ,无论冬季或春季当高原东部有深槽东移 ,冷暖空气在江淮地区交汇 ,地面抬升系统为暖切 ,并有大气层结不稳定 (Δθse( 50 0 - 850 ) <0℃ =中心和较强的风向和风速垂直切变、85 0hPa西南急流轴、85 0hPa最大水汽通量轴线、5 0 0和 85 0hPa正涡度中心等相配置时 ,就可能导致江苏地区较大范围强对流天气的发生。     

聚类分析在暴雨预报和环流形势分型中的应用

数值预报投入业务运行以来，高空形势预报具有较高的准确率，要素预报的准确率也在不断提高，对数值预报产品的释用是近年来人们极为关注的问题，作者早用数值预报５００ｈＰａ高度场及降水实况资料，采用聚类分析法，研究暴雨落区预报和我国暴雨环流形势特征，所得结果在暴雨预报业务中有一定参考价值，同时也给出我国暴雨环流型。     

RC框架结构直接基于位移的抗震优化设计方法

探讨了静力弹塑性分析验证过程中遇到的几种情况及其产生原因,指出建筑结构设计方案在基于位移的抗震设计中的重要性。从框架结构的侧移模式出发,导出结构一定性能水平的目标顶点位移,建立结构目标顶点位移与等效位移的关系式,根据位移反应谱,由等效位移推出框架结构在各性能水平的目标周期。然后,由pushover曲线确定结构刚度退化机理,导出结构各性能水平相应的自振周期比例关系,根据结构各性能水平自振周期与目标周期的关系确定结构最优设计方案。通过例题加以验证,说明了此设计方法的可行性。     

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.