正态分布检验在地下水检测质量控制中的应用

对地下水调查中37种必测组分检测过程的替代物进行筛选,应用D’Agostino法对替代物的测量结果进行正态性检验。利用正态分布函数"3σ"原则,定义了各替代物质量控制指标的有效区间。应用正态函数随机变量的数学期望和方差,计算得到各替代物有效区间内的正态函数分布概率均大于97%,替代物过程能力指数计算结果表明,二溴氟代甲烷、甲苯-d8、对溴氟苯、1,2-二氯苯-d4、氟苯等挥发性有机污染物分析过程选用的替代物质量控制过程处于稳定的监控状态;2,4,5,6-四氯间二甲苯、二丁基氯菌酸酯、p-三联苯、十氯联苯等半挥发性有机污染物分析过程选用的替代物监控指标分析过程能力不足。建议参考美国EPA方法中有关监控指标质量控制区间的要求,适当放宽对半挥发性有机物检测流程中选用的替代物质量控制区间的有效范围。正态分布在地下水检测过程质量控制中的应用,为实验室检测过程的质量管理提供了科学、有效的数学依据。     

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。     

滇东南薄竹山花岗岩的LA-ICP-MS锆石U-Pb定年及地质意义

通过对滇东南薄竹山花岗复式岩体3个代表性花岗岩样品的LA-ICP-MS锆石U-Pb同位素年龄测试,获得了该岩体的形成时代。其中,雷达站单元样品的²⁰⁶Pb-²³⁸U加权平均年龄为（86.51±0.52） Ma(MSWD值为2.4);所作底单元样品的²⁰⁶Pb-²³⁸U 加权平均年龄为（87.54±0.65）  Ma(MSWD值为1.6);洋芋树单元样品的²⁰⁶Pb-²³⁸U 加权平均年龄为（87.83±0.39）  Ma (MSWD值为0.15)。这些分布比较集中的年龄数据为薄竹山花岗岩体提供了一个准确的形成时限。这些年龄数据表明,薄竹山花岗岩体同区域内的其它岩浆岩和与之相关的个旧、大厂、都龙超大型锡多金属矿床等都是晚白垩世的产物,均为华南西部地区岩浆-成矿带的重要组成部分,也是华南西部晚白垩世大规模成岩成矿作用在滇东南地区的又一具体表现。     

基于Oasis Montaj平台的航空物探数据处理软件系统

在深入研究Oasis Montaj平台特点的基础上,对已有的处理功能进行移植、优化,并开发了新的功能,集成为航空物探数据处理软件系统。这里就系统的整体架构、主要功能及其实现方法进行了详细介绍。通过大量的数据处理证明了该系统具有集成度高、实用性强、运行效率高、稳定性强、易操作、容错性强等诸多优势,能极大地提高数据处理的效率和质量。     

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.