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.     

煤层气在煤储层中的扩散及其影响因素

煤层气在煤储层中的扩散是指从煤基质孔隙表面上解吸的煤层气运移到割理系统的主要过程。发生扩散的前提条件是气体浓度差的出现，衡量扩散能力大小的重要参数是扩散系数。前者为由解吸速度、解吸气量和煤层气产量、井孔压力降等因素控制的动态参数，而后者为主要受扩散物质性质、扩散介质特征、扩散系统的温度、压力和孔隙结构形态等因素影响的静态参数。煤层气在煤储层中的扩散量与煤层气浓度差和扩散系数呈正比关系。     

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。     

高浓度黏性泥石流堆积层理结构中筛积层和粗化层形成机理的研究

根据高浓度黏性泥石流的观测资料,应用不同类型黏性泥石流的流变特性和流体结构的分类指标-流核比,对高浓度黏性泥石流堆积中的混杂层、筛积层和粗化层理结构进行了成因差异分析。侧重分析了砾石质点在高浓度黏性泥石流蠕动流场中作向上垂直运动的魏森伯效应,并在表面富集形成了筛积层的成因,及其它与粗化层结构的区别。     

河南省内乡——淅川地区边缘成矿体系与成矿预测

河南内乡——淅川地区具有一完整的边缘成矿体系。应用边缘成矿理论，通过野外对该区控矿要素的实际调研和室内对比分析，提出了豫西南内乡——淅川地区边缘成矿体系的新认识。一级成矿边缘为华北板块与扬子板块边缘对接处（山阳——西峡断裂带两侧），控制了两个跨省大型成矿带的形成；二级成矿边缘为区域深大断裂边缘，控制区域成矿带形成；三级成矿带边缘为岩体边缘、次级断裂带边缘和地层交界面等，控制矿田、矿床的形成；四级成矿边缘为岩体边缘不同岩相分界面、不同岩性层间面和构造形态、产状变化处。不同边缘交叉、叠合地段是成矿最有利地段。研究表明，边缘成矿体系的形成与地质异常事件密切相关，板块活动、区域构造、火山、岩浆侵入、沉积环境演化是边缘成矿体系形成的主导因素。根据边缘成矿规律进行了成矿预测，指出主要找矿方向和有利找矿区段（靶区）。     

中国城市房价、收入与房价收入比的时空分异格局

中国城市房价快速增长背景下,城市房价、收入与房价收入比空间格局既有相似性,也表现出差异性,其空间异质性与空间依赖性特征显著。本文以中国337个地级行政单元为研究对象,运用泰尔指数、位序-规模和空间马尔科夫链等方法,对2009—2018年中国城市房价、收入和房价收入比的时空分异格局、整体稳定性和空间依赖性特征进行分析发现:(1)中国城市房价增长呈现出波动性特征,整体分异程度增强,房价城市体系呈现"金字塔型"结构,收入则表现出平稳增长态势,整体分异度降低,城市体系呈现"橄榄型"结构,在房价与收入共同影响下,房价收入比整体差异性显著加强;(2)城市房价空间格局表现出"地带性"与"等级性"差异并存,而收入更多表现出"地带性"差异,房价收入比则以"等级性"差异为主;(3)城市房价和收入类型的稳定性和空间依赖性较强,高、低水平城市存在两极分化与"俱乐部收敛"现象,房价收入比稳定性相对较弱。对中国城市房价、收入和房价收入比时空分异格局和空间关联效应的分析,可以为探索中国城市房价收入比空间分异模式与机理提供必要研究基础。     

赣粤闽交界及邻区近年中强地震加卸载响应比特征研究

以地震应变能作为响应因子,研究了1997至2007年赣粤闽交界及邻区4．0级（ML≥4．0）以上中强地震临震前的加卸载响应比（Y值）的基本变化特征,研究结果表明,80％以上的地震在临震前Y值呈现出高值异常形态。因而它可以作为此地区地震预测的一种手段。     

GNSS-MR技术用于雪深探测的初步研究

全球导航卫星系统干涉反射测量（global navigation satellite system-interferometric reflectometry,GNSS-IR）技术能探测浅层地表的土壤湿度。针对多系统组合的土壤湿度反演问题,基于轨迹聚类方法,从全球定位系统(global positioning system,GPS)、北斗卫星导航系统（BeiDou satellite navigation system,BDS）、格洛纳斯(GLONASS)、伽利略（Galileo）导航系统的信噪比观测数据中提取多径干涉相位,利用经验模型求解轨迹聚类后的土壤湿度估计值,以加权平均方式得到系统组合后的估计结果。结果表明,BDS、Galileo反演精度相当且优于GPS、GLONASS,基于轨迹聚类的多系统组合土壤湿度估计方法的均方根误差为0.041 4 cm³/cm³,相比于单系统的综合反演精度提升约16.3%,相比于单系统的最佳频段反演精度提升约5.2%,所提方法能有效监测土壤湿度的变化。

     

煤岩动静力学参数关系试验研究

煤岩的动、静力学参数关系的试验研究,对研究煤岩的位移和变形特征及工程支护设计具有重要意义。将取自新河煤矿3煤的煤样加工成Φ50 mm×100 mm的圆柱体标准试件;采用500 kHz频率的纵横波换能器分别进行纵横波速度测试;在MTS815.03电液伺服试验机上进行单轴压缩试验,得到静态弹性模量和泊松比。试验结果表明:煤岩动弹性模量与横波速度相关性强于与纵波速度的相关性,煤岩介质的纵波对孔隙和裂隙发育程度的敏感程度要比横波高;煤岩试件Ed/Es比值主要集中在1.4~1.7,室内煤岩试件动、静弹性模量和动静泊松比之间存在较好的线性相关关系。     

雅砻江下游表层土壤碳储量及其驱动因素

采集青藏高原东南缘雅砻江下游代表性植物群落表层土壤(0 ~ 10cm)样品, 测量土壤不同形态碳含量和稳定碳同位素组成(δ13Corg), 运用δ13Corg和化学计量指标探讨干热河谷土壤碳储量及其驱动因素。结果表明: 1)雅砻江下游表层土壤碳储量为121×109 kg C, 其中颗粒有机碳储量占79.48 %, 颗粒无机碳储量占20.05 %, 溶解有机碳和溶解无机碳储量甚微。2)比较发现, 研究区土壤碳含量和碳汇潜力较大。土壤有机碳(SOC)含量较高(21.23g/kg), 尤其杂木林地SOC含量高达49.71g/kg。揭示研究区物种多样性对SOC含量的贡献。研究区分布多种植物群落且具有较强的光合碳同化(植被叶片碳氮比(C/N)高达31.21)固碳能力, 为研究区较大的SOC储量提供了充足的植物源碳保障。研究区较大的土壤无机碳含量和成壤无机碳输出通量(2.065×108 kg C/a), 揭示研究区存在相当大的成壤无机碳碳汇过程和贮存潜力。在流域尺度上计算土壤成壤无机碳碳汇时, 径流输出的成壤无机碳不可忽视。3)研究区土壤C/N变化率和δ13Corg变化率空间变化均不显著(p>0.05), 揭示研究区不同群落土壤微生物代谢活动无显著差异。研究区SOC含量变化受非生物因素(气温、降水和坡度)驱动的生物因素(群落生产力和微生物代谢活动)调控。本研究可为土壤碳汇/源调控机制研究和实现我国"碳中和"目标提供基础数据。