考虑应力水平的软土固结系数计算与试验研究

在固结度计算中通常将固结系数视为常数,实际上并非如此.通过研究软土固结系数在压缩过程中随应力水平变化的规律,推导出正常固结和超固结状态下固结系数与有效应力之间的表达式.在正常固结状态下,当应力水平小于在前期固结压力时,固结系数随应力水平的增加而增加;当超过前期固结压力后,固结系数随应力水平的增加而减小;在超固结状态下,固结系数随应力水平的增加而增加,在一定程度后趋于平稳.室内试验结果进一步说明了和验证固结系数这一特点.推导的固结系数与固结应力水平关系表达式是可行的,其计算值与试验结果的变化趋势一致,大小基本吻合,将其用于计算变形速率和固结度中,可提高准确性.     

金川铜镍硫化物样品中锇同位素比值的高精度分析

采用两种独立的190Os稀释剂、4个不同的化学流程,用等离子体质谱仪、TRITON热表面电离质谱仪和MAT-262固体质谱仪3种质谱仪器,在4个实验室分别对采自金川铜镍硫化物样品的187Os/188Os同位素比值进行分析,样品分析数量达到56个。4个实验室获得的结果分别为0.3356±0.0018(n=12,2s)、0.3363±0.0008(n=6,2s)、0.3363±0.0010(n=18,2s)和0.3353±0.0034(n=20,2s)。采用ISOPLOT软件对所得56个数据进行加权平均计算,得到187Os/188Os同位素比值为0.33602±0.00022(置信度95%)。两台TRITON热表面电离质谱仪测量的结果几乎完全一致,且精度高于MAT-262固体质谱仪和等离子体质谱仪。比较了碱熔和Carius管两种溶样方法,结果表明,对于所研究的样品,用Carius管溶矿方式可以将含锇矿物完全溶解。     

基于HJ-1遥感数据的矿区水体污染监测与分析——以龙岩紫金山金铜矿为例

矿产资源的持续开采与加工利用使得矿区周边水资源受到的污染日趋严重,急需采用先进技术对水污染进行监测分析,遥感技术是水环境监测最为有效的技术之一。利用国产环境一号小卫星多光谱遥感影像数据,针对福建省龙岩市紫金山矿区不同时相的数据进行水质遥感监测。利用近红外单波段阈值分割法提取悬浮物浓度信息,基于矿区酸碱性水体光谱曲线特性采用342波段假彩色合成影像,采用SVM分类方法进行分类,判别矿区水体酸碱性以及分析水体受污染程度变化和污染源。结果表明,研究区汀江水体2008年呈现碱性,2010年呈现弱碱性,水质在研究时段内得到一定的改善,但在选矿厂与矿区附近的水体中仍含有大量重金属沉积物。     

用NOAA气象卫星AVHRR的定量资料计算冬小麦种植面积的两种方法

本文提出了用NOAA气象卫星AVHRR的定量资料计算冬小麦种植面积的方法,即绿度指数法和单通道法。绿度指数法是根据冬小麦在特定生育期内绿度值基本上保持为常数的特点,用几块巳知样地的种植面积,推算整体种植面积;单通道法是只使用AVHRR第二通道的反照率来计算冬小麦种植面积。这两种方法的优点在于不需考虑大气削弱的订正处理问题,从而使计算得以简化。     

舒适度测量仪探测系统开发

舒适度测量仪探测系统主要由采集器、传感器、支架、供水系统、通信模块、数据采集软件6个部分组成.除通信模块之外,其他5个部分都是全新设计.采集器是系统的核心,负责数据的采集、处理和传输;数据采集软件安装在中心服务器上,负责数据的采集、处理、显示和存储,并能远程监测和遥控探测现场的设备.此外,对舒适度的相关理论进行分析,给出适合广州地区的舒适度指数分级标准,并对舒适度测量仪探测数据进行分析.近一年的试运行表明,系统运行稳定、探测数据可靠、适合业务组网的要求.     

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。     

罗布泊罗中地区地层浅表裂隙成因及对罗中工程建设的影响分析

国投新疆罗布泊钾盐有限责任公司在罗布泊罗中地区先后进行了20万t钾肥项目采输卤工程、盐田、试验加工厂及120万t钾肥项目盐田等工程建设,在建设过程中发现大量的地层浅表裂缝(简称浅表裂隙),其平面上分布具区域性,走向上具一定方向性,垂直方向延深依地质条件不同而不同,且具有裂缝壁面平直,倾角陡等特性。对工程建设具有一定的危害性。本文就罗中地区地层浅表裂隙的形态特征、空间分布规律、水文地质和工程地质特性及浅表裂隙的形成机理进行描述和分析,并针对其在工程建设中的危害性影响提出对策。     

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。