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.     

SENSITIVITY TESTS OF INTERACTION BETWEEN LAND SURFACE PHYSICAL PROCESS AND ATMOSPHERIC BOUNDARY LAYER*

In this paper,an interactive model between land surface physical process and atmosphere boundary layer is established,and is used to simulate the features of soil environmental physics,surface heat fluxes,evaporation from soil and evapotranspiration from vegetation and structures of atmosphere boundary layer over grassland underlying.The sensitivity experiments are engaged in primary physics parameters.The results show that this model can obtain reasonable simulation for diurnal variations of heat balance,soil volumetric water content,resistance of vegetation evaporation,flux of surface moisture,and profiles of turbulent exchange coefficient,turbulent momentum,potential temperature,and specific humidity.The model developed can be used to study the interaction between land surface processes and atmospheric boundary layer in city regions,and can also be used in the simulation of regional climate incorporating a mesoscale model.     

高密度电法的三维数据场可视化

高密度电法是重要物探方法之一,由于它具有施工快捷、分辨率高、可靠性好、图像直观等优点,已被广泛应用于寻找金属非金属矿、地下水及各类工程地质勘察等众多领域.目前,该方法在数据资料处理方面还局限在二维图像.本文结合在山西阳泉复杂采空区利用高密度电法和高精度GPS测量联合勘察的工程实例,基于WinDisp软件平台,实现了高密度电法的三维数据场可视化,构建了视电阻率参数下的三维地质体结构模型,并且可以任意移动、旋转、切片、分层显示、实时显示真实地理坐标等.该模型客观、真实、形象地反映了电性异常的三维地质结构,为高分辨率预测复杂采空区的空间分布特征提供了直观、可靠的资料.     

木里煤田聚乎更矿区四井田煤质特征及煤类分布规律

木里煤田是青海省重要的煤产地,煤类以炼焦用煤为主。聚乎更矿区四井田位于木里煤田的最西端,经详查、勘探提交煤炭资源量2.5亿t,煤类为气煤、1/3焦煤、焦煤、1/2中粘煤、弱粘、瘦煤、贫瘦煤、贫煤、不粘煤。通过对下2煤层物理性质、化学性质、煤岩特征及煤类的统计分析,认为区内同一煤层的变质程度随含煤地层和上覆岩系的总厚度增大而增高,在垂向上随煤层层位的降低而增高;四井田总体构造形态为倾向南西的单斜构造,其煤类分布总体表现北东到南西沿煤层倾向变质程度逐渐增高,沿煤层走向呈带状分布,但在井田边界断层附近煤的变质程度要比其它地段相同深度煤层的变质程度稍高;四井田煤的变质作用类型主要为深成变质作用,部分地段受动力变质作用影响。     

大渡河金川-巴底河段河流地貌特征研究

对大渡河中游金川-巴底河段水系格局、河谷形态、河流阶地及第四纪沉积物进行研究,分析河流地貌的发育特征、影响因素以及发育演化史,为区域稳定性评价提供依据。研究表明,该区域为具有夷平面的深切峡谷地貌区,发育三级夷平面和4~6级阶地,河流地貌发育经历三个阶段,河流地貌的形成与演化受构造、岩性影响明显。     

基于图像区域特征的细胞识别方法及实现

先提取目标物体的面积、中心矩、圆形度、细长度、核浆比等区域特征。然后采用单原型模式表征方法，利用集群分析技术中最小距离分类器，构造判别函数，并依此作为识别类型的依据。最后，通过对鳞细胞的区域特征进行计算比较，选择出能够较明显地辨别出类别的特征向量，建立判别函数并对结果的可信度进行了讨论。     

中国西部空中水汽分布结构特征

利用1958-1997年月平均NCEP比湿资料研究了中国西部空中水汽分布特征。结果表明：水汽的垂直分布结构非常相似，850hPa以上的水汽分布中心位于青藏高原上空，5-10月水汽含量主要集中在500hPa以下，其中7月的空中水汽含量最丰沛。水汽含量随高度减少，从季节变化来分析，夏季最大、秋季次之、冬季最小。40a的水汽年代际变化表明，夏季空中水汽含量呈现线性下降趋势，特别是20世纪90年代以来更明显；冬季比湿呈线性上升趋势，1月和7月比湿的年代际变化趋势呈反位相特征。     

GRAPES模式不同云物理方案对短期气候模拟的影响

在胡志晋、刘奇俊云物理方案的基础上，研制了GRAPES模式的云降水显式方案。用不同云物理方案开展了短期气候（月尺度）过程的模拟试验，并与地面观测资料和NECP再分析资料进行了对比分析。模拟的结果表明，耦合了云降水显式方案的GRAPES模式较好地模拟出了中国地区降水、温度、云量、长短波辐射的特点和分布规律。气候模拟中冰相过程和暖云过程模拟的降水、温度、云量和辐射差异较大，不同相态的水凝物及其分布对辐射特征有较大的影响，混合相云物理方案的模拟结果与实况更为吻合，应使用混合相云物理方案进行短期气候的模拟。     

河西走廊盛夏一次强沙尘暴天气综合分析

利用常规气象观测资料和NCEP／NCAR月平均再分析资料，对2003年7月20日甘肃河西走廊一次历史上少见的区域性夏季沙尘暴天气进行了分析。研究发现：高空小槽、切变线、热低压是引发夏季沙尘暴的主要天气系统。夏季沙尘暴发生过程中，各测站出现了气压跃升、风速猛增、气温下降、湿度增加等现象，但变化幅度小于春季。夏季沙尘暴云图特征表现为中小尺度云团，TBB≤-35℃的云团在一定程度上能够反映沙尘暴天气的变化。诊断分析表明，沙尘暴爆发前散度场呈低层辐合高层辐散状态，沙尘暴发生在最大垂直速度出现以后，同时水平螺旋度对夏季沙尘暴预报有较好的指示意义，螺旋度正值越大，沙尘暴越强。     

近55年广西融水县降水气候特征分析

利用融水县气象站1959-2013年的降水资料,采用数理统计和线性倾向估计分析方法,分析了融水县降水分布特征及其变化规律。结果表明：融水县降水分配不均,主要集中在4-8月,6月最多,5月次之;年暴雨日数6.9d,暴雨持续时间多为1d,最长4d;近55年来融水县年降水量和汛期（4-9月）降水量均呈减少趋势,每10年分别减少16mm和6mm,而主汛期（5-8月）的降水量却呈增多趋势,每10年增加13mm,这预示着融水县未来降水可能更趋于集中在主汛期（5-8月）,发生洪涝灾害的几率可能增多。此外,一日最大降水量呈增多趋势,预示未来降雨强度可能增大;春、秋季的降水量呈减少趋势,提示未来发生春旱、秋旱的几率可能增多。