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.     

海洋地质调查数据库数据录入方法

海洋地质调查数据库通常根据已有数据库结构标准创建各数据表和要素类,采用相关软件工具进行数据管理。基于数据的录入实践,探讨了海洋地质调查数据录入的几个关键环节:表空间和用户对应创建、表之间关联的创建、大对象数据加载等。结果表明,合理的创建用户和表空间、适当的创建数据表与公共索引表和空间站位信息表之间的关联、大对象数据采用BLOB格式存储,有助于实现高效、正确的数据录入。     

Geochemistry and occurrence of inorganic gas accumulations in Chinese sedimentary basins

Inorganic gases are commonly seen in eastern China and occasionally in southern China from the shallow water columns above hot and cold springs. The gases contain 68% to nearly 100% CO₂, with δ¹³C_CO2 and δ¹³C₁ values in the range of −1.18‰ to −6.00‰ and −19.48‰ to −24.94‰, respectively. All of the 34 large inorganic CO₂ and one inorganic methane accumulations discovered in China are distributed in eastern parts of the country, from both onshore and continental shelf basins. No commercial inorganic gas accumulation has been found in central and western China. This is a review of the occurrence and geochemical characteristics of inorganic gas accumulations in Chinese sedimentary basins. A detailed study of gas samples collected from four representative inorganic CO₂ pools and one possible inorganic methane pool indicates that inorganic alkane gases typically show δ¹³C₁ values greater than −10‰ versus PDB (mostly −30‰), with a positive stable carbon isotope sequence of δ¹³C₁ < δ ¹³C₂ < δ¹³C₃ < δ ¹³C₄. In contrast, the δ¹³C₁ values of biogenic alkane gases are lighter than −30‰, with a negative isotope sequence (i.e. δ¹³C₁ > δ¹³C₂ > δ ¹³C₃ > δ¹³C₄). Inorganic gases also tend to show less negative δ¹³C_CO2 values (−10‰) than biogenic gases (<−10‰).     

大兴安岭天保工程区生态系统服务变化研究

利用Landsat和MODIS遥感数据和InVEST模型,评估了1990-2015年大兴安岭天保工程区实施前后生态系统土壤风蚀量、生境质量和碳储量的时空变化,并通过地理探测器方法对生态系统服务时空变化分布与趋势进行驱动因子探测和交互作用探测分析.结果 表明:①从空间分布来看,额尔古纳市南部、鄂温克族自治旗西北部、科尔沁...     

ITRF2014参考框架的实现与改进

ITRF2014通过对多种空间大地测量技术解的联合处理,在ITRF2014建立过程中首次对非线性运动建模,包括季节性变化的估计和震后形变(PSD)模型的应用。针对基准定义、输入数据和数据处理策略等方面介绍ITRF2014实现的基本情况,并对之前版本进行优化改进。     

构造地质学计算机辅助教学课件SGCAI

构造地质学计算机辅助教学课件（ＳＧＣＡＩ）利用数据库,图形动画及多媒体等技术,对地质学基础课程的计算机辅助教学研究作了初步探索,课件分为学生学习,教师管理,附属功能和执行四大模块,具有学习选择,图片说明,动画演示,练习测验,辅导答题等十个功能,课件设计新颖,技术全面,使用方便,使用该课件能充分调动学生学习的主观能动性,使学生成为真正的学习主体,有助于提高教学质量。     

基于CFD方法的十字形降落伞–航行体系统数值分析

为研究航行体对十字形降落伞流场和阻力性能的影响,基于Realizablek–ε模型采用PISO算法开展了十字形降落伞–航行体系统的非定常绕流数值计算,得到了详细的流场计算结果。研究了不同拖曳比下十字形降落伞–航行体系统的流场分布规律与降落伞衣及航行体的气动特性变化,结果表明：当拖曳比λ≤2时,航行体和降落伞衣形成闭式流动,降落伞衣阻力损失严重;当拖曳比λ>2时,航行体尾流区的压力恢复,降落伞衣底部形成稳定的正压区,流动形式由闭式转化为开式,拖曳比λ最大时的压差Δp相较拖曳比最小时的压差增加12%,降落伞衣阻力恢复,阻力波动减小;当拖曳比λ=4时,降落伞与航行体的阻力分别增加1.8%、25%。结果显示十字形降落伞–航行体系统的流场和压力分布更为对称,且气动特性处于最佳状态。     

辽宁省重点金矿集区地质特征及成岩成矿作用

作为我国重要的产金省份,辽宁省的中生代构造、岩浆活动较为强烈,并伴有强烈的金成矿作用。根据金矿床的空间分布特征,将辽宁省划分出5个重点金矿集区,为深入了解各金矿集区内金矿床的成岩成矿作用,对金矿集区的地质特征、成岩成矿时代、地球化学等方面进行了系统分析。研究表明: 各金矿集区的金成矿作用与印支期、燕山期岩浆活动有关,成矿时间集中于126~118 Ma、225~188 Ma; 辽西金矿集区金矿石中的S属于地幔硫,而辽东金矿集区S来源于岩浆和变质岩地层,各矿集区矿石的Pb具有壳幔混合源特征,5个重点金矿集区的成矿物质源区组成为同一岩浆源区、不同岩浆演化阶段的产物,成岩成矿物质为下地壳部分熔融的产物,并有部分幔源物质参与。结合近年找矿进展,建立了辽宁省金矿找矿预测地质模型,可为下一步开展区域矿产勘查工作提供新思路。     

河南商城-固始地区石炭系沉积环境及其构造意义

根据沉积相分析,同时综合分析区域地质资料,笔者提出河南商城－固始地区石炭系及安徽金寨地区梅山群为典型前陆磨拉石含煤建造,其沉积相主要为滨海、潮坪、泻湖、局限台地及砾质辫状河－冲积扇相,代表了统一的石炭纪一二叠纪合肥弧后前陆盆地的南部边缘相,说明大别地块（北大别弧）于早古生代晚期－晚古生代早期即与华北板块碰扪结成一体。     

导管架平台拆除过程稳定性及影响因素分析

现有服役海洋平台正逐步走向老龄化,海洋平台拆除成为海洋工程新的经济增长点。针对达到服役年限的导管架平台,基于数值分析方法模拟拆除过程,开展平台在不同拆除阶段和环境载荷等参数下的稳定性及影响规律研究。基于钢结构整体稳定性理论,以导管架平台拆除过程中顶点位移为参考,定义导管架平台拆除作业稳定性指标,提出拆除作业阶段划分方法,通过分析导管架平台在不同影响因素作用下拆除过程稳定性响应,给出拆除作业建议。选取我国南海某4裙12腿进行实例分析,结果表明:主桩腿对导管架平台起决定性承载作用,拆除部分主桩腿后需要引入外部支撑力,以保证拆除作业安全进行;拆除构件越多,来浪方向和环境载荷大小对平台影响越加显著。研究结果可为导管架平台拆除作业提供参考。