不规则网土壤测量在水系沉积物异常查证中的应用

在大兴安岭森林沼泽景观区,植被茂盛、土壤表层腐殖质发育,且通视条件差,运用传统的规则网土壤测量方法进行1/5万水系沉积物异常查证,工作周期长、劳动强度大;采用不规则网土壤测量方法进行异常查证,取得了快速评价异常、追踪异常源,缩短找矿周期的效果。     

琼东南盆地超压系统泄压带: 可能的天然气聚集场所

泄压带是超压系统内部流体向外运移的通道和有利的油气聚集场所, 对水溶相天然气析离成藏更有着重要意义.本文综合应用速度谱、测井、钻井和地层测试等资料预测了琼东南盆地超压系统的分布, 将其划分为3种结构类型; 结合粘土分析等资料识别出了4种类型的泄压带, 并讨论了泄压带的分布与可能的天然气聚集区带.琼东南盆地中央坳陷带整体发育一个超压系统, 其分布格局主要受陆坡带的形成和莺歌海盆地超压传递的影响, 陆坡区的超压明显强于非陆坡区, 西部的超压整体强于东部并在浅部呈现自西向东传递的趋势.泄压带内的天然气成藏主要取决于压力、温度和溶解气量, 需满足溶解气量足够多和溶解度变化量足够大, 相对而言, Ⅱ型泄压带成藏条件最优, 既有断裂沟通深部水溶气和浅部储层, 又有温压条件的显著变化, 因而流体运移最活跃.Ⅲ型泄压带次之, 但分布最广, 该类型最有利部位分布在陵水低凸起和宝岛凹陷北坡.      

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。     

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。     

Siderophile Element Compositions of Pyroxenes in HED Meteorites: Implications for the Differentiation of Magma Ocean on Vesta

<正>1 Introduction The howardite,eucrite and diogenite(HED)meteorites are ultramafic and mafic igneous rocks and impact-engendered breccias derived from a thoroughly differentiated asteroid 4 Vesta.Diogenites include dunites,     

Characteristics of carbonyl compounds in ambient air of Shanghai,China

The levels of carbonyl compounds in Shanghai ambient air were measured in five periods from January 2007 to October 2007 (covering winter, high-air-pollution days, spring, summer and autumn). A total of 114 samples were collected and eighteen carbonyls were identified. Formaldehyde, acetaldehyde and acetone were the most abundant carbonyls and their mean concentrations of 19.40 ± 12.00, 15.92 ± 12.07 and 11.86 ± 7.04 μg m⁻³ respectively, in the daytime for five sampling periods. Formaldehyde and acetaldehyde showed similar diurnal profiles with peak mixing ratios in the morning and early afternoon during the daytime. Their mean concentrations were highest in summer and lowest in winter. Acetone showed reversed seasonal variation. The high molecular weight (HMW, ≥C5) carbonyls also showed obvious diurnal variations with higher concentrations in the daytime in summer and autumn, while they were all not detected in winter. Formaldehyde and acetaldehyde played an important role in removing OH radicals in the atmosphere, but the contribution of acetone was below 1%. The carbonyls levels in high-air-pollution days were reported. More carbonyl species with higher concentrations were found in high-air-pollution days than in spring. These carbonyls were transported with other pollutants from north and northwest in March 27 to April 2, 2007 and then mixed with local sources. Comparing with Beijing and Guangzhou, the concentrations of formaldehyde and acetaldehyde in Shanghai were the highest, which indicated that the air pollution in Shanghai was even worse than expected.     

The Representativeness of Air Quality Monitoring Sites in the Urban Areas of a Mountainous City

Lanzhou is a typical mountainous city with severe air pollution in northwestern China. This study uses hourly observational data of air pollutants at five air quality monitoring sites in Lanzhou from July to December 2015 to discuss data quality control and the representativeness of the monitoring sites(four urban sites and one suburban site). A fuzzy matrix is applied to study primary air pollutants. The results show that of the six routinely monitored pollutants,the primary pollutant is PM_10 during the study period. Based on lag correlation analysis and one-way analysis of variance, it is concluded that there are redundant observations at the four urban sites for the timely diffusion and transport of air pollutants from the same general area. The coefficient of divergence(COD) method is then used to evaluate the spatial distribution differences, and the primary air pollutant PM_10 shows differences at each site. COD can be used as a positive indicator to describe site representativeness. To evaluate the overall air pollution in the valley, correlation analysis is performed between the PM_10 concentration retrieved from aerosol optical depth satellite data and the concentration from the four urban monitoring sites. Among these, the correlation between the workers' hospital site data and the retrieval data is the highest, passing the 90% confidence level. A new representative evaluation model for air quality monitoring sites, R_s = 0.77 COD + 0.23R_(retrieval), is established by using COD and correlation coefficients between routine observations and satellite retrieval products. From this model, it can be concluded that the biological products institute site in Lanzhou is the most representative site for the evaluation of air pollution out of the four urban air quality monitoring sites from July to December 2015.     

气溶胶对我国中东部地区秋季降水的影响

通过分析近50年来中国中东部地区降水资料发现,秋季降水与其他季节相比有明显减少趋势(每10年下降约54.3 mm),尤其自1980年代以来呈直线下降趋势(每10年降水减少5.6%)。从降水形成三个基本条件(水汽输送条件、稳定度条件、云微物理条件)出发,探究秋季降水减小的原因。结果表明,大气稳定度(对流抑制能(convective inhibition,CIN)以28.67(J/kg)/(10年)的速率增加,对流有效位能(convective available potential energy,CAPE)以12.81(J/kg)/(10年)的速率减小以及云微物理性质的变化(云滴有效粒子尺度减小)是导致秋季降水减少的直接原因,而这两个因素的变化与近20多年来气溶胶的大量增多有着非常密切的关系。因此,由空气污染造成的气溶胶浓度的增加可以作为导致中国中东部地区秋季降水减少的其中一个重要原因。由于秋季天气系统较稳定,主要受到大尺度系统影响,动力作用影响大于热力作用,所以减少了复杂中小天气系统和热力作用对降水的影响,故而更加突显出气溶胶对秋季降水的影响。     

Robustness of Precipitation Projections in China:Comparison between CMIP5 and CMIP3 Models

Three sources of uncertainty in model projections of precipitation change in China for the 21st century were separated and quantified: internal variability,inter-model variability,and scenario uncertainty.Simulations from models involved in the third phase and the fifth phase of the Coupled Model Intercomparison Project(CMIP3 and CMIP5) were compared to identify improvements in the robustness of projections from the latest generation of models.No significant differences were found between CMIP3 and CMIP5 in terms of future precipitation projections over China,with the two datasets both showing future increases.The uncertainty can be attributed firstly to internal variability,and then to both inter-model and internal variability.Quantification analysis revealed that the uncertainty in CMIP5 models has increased by about 10%–60% with respect to CMIP3,despite significant improvements in the latest generation of models.The increase is mainly due to the increase of internal variability in the initial decades,and then mainly due to the increase of inter-model variability thereafter,especially by the end of this century.The change in scenario uncertainty shows no major role,but makes a negative contribution to begin with,and then an increase later.