黑海西北部冷泉碳酸盐岩的沉积岩石学特征及氧化还原条件的稀土元素地球化学示踪

黑海西北部罗马尼亚大陆架(水深120m)和乌克兰陆坡(水深190m)发育冷泉碳酸盐岩结壳。XRD测试表明此结壳主要由高镁方解石和文石组成。结壳中与渗漏系统微生物活动有关的凝块和葡萄状文石等特殊的沉积组构非常发育。冷泉碳酸盐岩酸可溶部分(碳酸盐岩相矿物)的稀土元素含量很低(0.068×10-6~2.817×10-6),稀土元素页岩标准化配分模式显示罗马尼亚大陆架冷泉碳酸盐岩具有明显的Ce负异常,乌克兰陆坡冷泉碳酸盐岩具Ce的正异常,表明它们是分别在氧化和还原环境中沉积的。稀土元素和V、Cd和U等微量元素的含量在泥晶中最高,亮晶中最低,可能反映成岩过程对元素含量有控制作用。     

基于人工神经网络的航磁信息关联方法的研究

应用人工神经网络方法 ,以航磁数据为样本 ,建立了航磁信息关联的BP人工神经网络模型。对山东省 1∶5 0万航磁水平一阶导数轴向图进行计算机自动关联叠置、提取航磁解释构造轴线的研究。经与垂向二阶导数对比分析 ,证实了该方法给出的模型具有较强的非线性、自适应和学习能力。     

小体积萃取-石墨炉原子吸收法测定高纯硝酸钡中纳克级重金属元素

本文研究了石墨炉原子吸收光谱法测定高纯硝酸钡中超痕量重金属元素的分析技术。提出在大量钡基体存在时,采用小体积萃取体系APDC-MIBK同时萃取纳克级的Fe、Cu、Co和Ni。该法具有灵敏度高、无干扰、操作方便和减少沾污等特点。方法检出限为:Fe 7.2ng/g、Cu 12.8ng/g、Co 4.4ng/g和Ni 6.7ng/g。应用于红外光纤原料硝酸钡、硝酸铝中痕量重金属的测定,效果良好。     

Investigations and assessment of the landslide hazards of Fengdu county in the reservoir region of the Three Gorges project on the Yangtze River

The spatial database of landslides in Fengdu County of the reservoir region of the Three Gorges project (TGP) on the Yangtze River was compiled from a variety of different sources including field investigations on landslides, existing catalogues and archives on landslides, reports of meteorological events and human engineering activities that triggered slope failures. The major factors that are found to have affected the slope stabilities are outlined, and an assessment and zonation of landslide hazards of the region is made using an integrated information model, which is divided into destructive, disastrous, likely disastrous and essentially non-disastrous areas from the assessment of landslide hazards. The destructive and disastrous areas are respectively 1.9 and 13.8% of the total region, mostly being nearby townships, highways along the south bank of the Yangtze River and residential quarters along two flanks of the Yangtze River and its distributaries, that will impose direct impact to highway transportation and residential lives, and may effect to some degree the navigation of the Yangtze River, reservoir banks, and building of cities and towns.     

增强气候诊断及预测程序通用性的一种方法

针对现有气候统计诊断与预测程序在通用性方面的不足,以线性趋势估计的源程序为例,介绍了在微机平台上,利用Fortran90的动态数组特性,通过增加参数控制文件增强该程序通用性的思路和方法,并利用VisualBasic语言对改进后的程序进行可视化设计,增强了程序的易用性。     

基于奇异谱分析的南方涛动指数短期气候预测试验

The Southern Oscillation Index (SOI) time series is analyzed by means of the singular spectrum analysis (SSA) method with 60-month window length. Two major oscillatory pairs are found in the series whose pe riods are quasi-four and quasi-two years respectively. The auto-regressive model, which is developed on the basis of the Maximum Entropy Spectrum Analy sis, is fitted to each of the 9 leading components including the oscillatory pairs. The prediction of SOI with the 36-month lead is obtained from the reconstruction of these extrapolated series. Correlation coefficient between predicted series and 5 months running mean of observed series is up to 0.8. The model can successfully predict the peak and duration of the strong ENSO event from 1997 to 1998. It＇s also shown that the proper choice of reconstructed components is the key to improve the model prediction.     

Spring Arctic Oscillation-East Asian summer monsoon connection through circulation changes over the western North Pacific

In the present study the links between spring Arctic Oscillation (AO) and East Asian summer monsoon (EASM) was investigated with focus on the importance of the North Pacific atmospheric circulation and sea surface temperature (SST). To reduce the statistical uncertainty, we analyzed high-pass filtered data with the inter-annual time scales, and excluded the El Ni?o/Southern Oscillation signals in the climate fields using a linear fitting method. The significant relationship between spring AO and EASM are supported by the changes of multi-monsoon components, including monsoon indices, precipitation, and three-dimensional atmospheric circulations. Following a stronger positive spring AO, an anomalous cyclonic circulation at 850?hPa appears in southeastern Asia and the western North Pacific in summer, with the easterly anomalies spanning from the Pacific to Asian continent along 25°N?C30°N and the westerly anomalies south of 15°N. At the same time, the summer western North Pacific subtropical high becomes weaker. Consistently, the positive precipitation anomalies are developed over a broad region south of 30°N stretching from southern China to the western Pacific and the negative precipitation anomalies appear in the lower valley of the Yangtze River and southern Japan. The anomalous cyclone in the western North Pacific persisting from spring to summer plays a key role in modulating EASM and monsoon precipitation by a positive air-sea feedback mechanism. During spring the AO-associated atmospheric circulation change produces warmer SSTs between 150°E?C180° near the equator. The anomalous sensible and latent heating, in turn, intensifies the cyclone through a Gill-type response of the atmosphere. Through this positive feedback, the tropical atmosphere and SST patterns sustain their strength from spring to summer, that consequently modifies the monsoon trough and the western North Pacific subtropical high and eventually the EASM precipitation. Moreover, the SST response to AO-circulation is supported by the numerical simulations of an ocean model, and the anomalous atmospheric circulation over the western North Pacific is also reproduced by the dedicated numerical simulations using the coupled atmosphere?Cocean model. The observation evidence and numerical simulations suggest the spring AO can impact the EASM via triggering tropical air-sea feedback over the western North Pacific.     

Statistical estimation of high-resolution surface air temperature from MODIS over the Yangtze River Delta,China

High-resolution surface air temperature data are critical to regional climate modeling in terms of energy balance, urban climate change, and so on. This study demonstrates the feasibility of using Moderate Resolution Imaging Spectroradiometer (MODIS) land surface temperature (LST) to estimate air temperature at a high resolution over the Yangtze River Delta region, China. It is found that daytime LST is highly correlated with maximum air temperature, and the linear regression coefficients vary with the type of land surface. The air temperature at a resolution of 1 km is estimated from the MODIS LST with linear regression models. The estimated air temperature shows a clear spatial structure of urban heat islands. Spatial patterns of LST and air temperature differences are detected, indicating maximum differences over urban and forest regions during summer. Validations are performed with independent data samples, demonstrating that the mean absolute error of the estimated air temperature is approximately 2.5°C, and the uncertainty is about 3.1°C, if using all valid LST data. The error is reduced by 0.4°C (15%) if using best-quality LST with errors of less than 1 K. The estimated high-resolution air temperature data have great potential to be used in validating high-resolution climate models and other regional applications.     

影响南极海洋石油烃低温降解菌希瓦氏菌NJ49生长和降解率的环境因素研究

以柴油为唯一碳源和能源,从南极海水海冰微生物资源库中筛选到一株石油烃低温降解菌希瓦氏菌NJ49,并对影响其生长和降解率的环境因素(pH、温度、盐度、营养盐和表面活性剂)进行了初步研究。结果表明:希瓦氏菌NJ49可作为低温海域石油烃污染生物修复的菌源,其生长和降解的最适条件为:初始pH7.5,温度15℃,盐度6%,摇瓶装量80ml,最佳氮源硝酸铵,最佳磷源为磷酸二氢钾和磷酸氢二钾的混合物,添加表面活性剂可促进希瓦氏菌NJ49的生长和生物降解率。     

中心城区地表温度空间分布及地物降温效应——以南京市为例

基于TM图像,采用灰度图像分割算法,自动提取南京市中心城区的不透水面、植被及水体;并用单窗算法反演了地表温度;依据离市中心的距离将中心城区分为45级缓冲区,依次统计分析每一级缓冲区内的平均温度、不透水面温度、植被温度、水体温度及各类地物的面积比例等;建立了地表温度与不透水面比例、植被比例、水体比例之间的关系模型.研究结果表明:随离市中心距离的增大,地表温度降低;植被、水体具有降温效应,水体的降温效应是植被的2.43倍;地表温度与不透水面比例、植被比例、水体比例的综合关系模型模拟效果较好.