影响北京地区的沙尘暴

利用1971－1996年的地面气象月报和地面天气图资料，借助地理信息系统，逐次分析了影响北京地区沙尘暴天气过程的演变规律，确定了影响北京地区沙尘暴天气过程的移动路径和源地。结果表明：北京地区沙尘暴主要发生在春季和初夏，以4月为最多。根据沙尘暴的起源，可将影响北京的沙尘暴天气过程分为外源型和内源型两类。沙尘暴的移动路径主要包括北路和西路两条。外源型沙尘暴的入侵地点集中在：1）内蒙古乌兰察布盟和锡林郭勒盟西部的二连浩特市、阿巴嘎旗；2）哈密市以东至内蒙古阿拉善盟的中蒙边境。内源型沙尘暴的起源地主要集中在腾格里沙漠及其周边地区。     

An Overview of BCC Climate System Model Development and Application for Climate Change Studies

This paper reviews recent progress in the development of the Beijing Climate Center Climate System Model(BCC-CSM) and its four component models(atmosphere,land surface,ocean,and sea ice).Two recent versions are described:BCC-CSM1.1 with coarse resolution(approximately 2.8125°×2.8125°) and BCC-CSM1.1(m) with moderate resolution(approximately 1.125°×1.125°).Both versions are fully coupled climate-carbon cycle models that simulate the global terrestrial and oceanic carbon cycles and include dynamic vegetation.Both models well simulate the concentration and temporal evolution of atmospheric CO_2 during the 20th century with anthropogenic CO2 emissions prescribed.Simulations using these two versions of the BCC-CSM model have been contributed to the Coupled Model Intercomparison Project phase five(CMIP5) in support of the Intergovernmental Panel on Climate Change(IPCC) Fifth Assessment Report(AR5).These simulations are available for use by both national and international communities for investigating global climate change and for future climate projections.Simulations of the 20th century climate using BCC-CSMl.l and BCC-CSMl.l(m) are presented and validated,with particular focus on the spatial pattern and seasonal evolution of precipitation and surface air temperature on global and continental scales.Simulations of climate during the last millennium and projections of climate change during the next century are also presented and discussed.Both BCC-CSMl.l and BCC-CSMl.l(m) perform well when compared with other CMIP5 models.Preliminary analyses indicate that the higher resolution in BCC-CSM1.1(m) improves the simulation of mean climate relative to BCC-CSMl.l,particularly on regional scales.     

海南岛表土花粉和热带植被模拟研究

调查分析了海南岛各种热带植被下的表土花粉,并根据花粉数据进行植被类型的模拟。结果表明,表土花粉类型复杂,优势种不明显,反映了热带植被下的植物种类繁多复杂的特性。分模拟能够较好地反映热带气候下的雨林,季雨林和干草原植被,其地理位置与地区植被的地理分布基本一致,海南岛山地的花粉模拟还恢复了热带山地植被,而海岸红树林植被能够被海岸带的花粉证据所模拟。该研究能够为我国大范围表土花粉调查和热带植被类型提供花     

巴东北部地区地表水的环境化学特征及水质评价

对巴东北部地区地表水的环境化学特征进行了初步研究,并且定量分析了此区域的水质.研究表明,该地区地表水属于典型的碳酸盐地表水,元素含量都处于低水平,没有明显的重金属污染,测定7个水样中的元素含量的平均值可以作为巴东北部地区地表水的背景值.     

油气化探中甲烷碳同位素应用、存在问题与对策研究

阐述了在地表油气化探实践当中甲烷碳同位素对地表土壤烃气成因判别的有效性，但有时也会遇到判断错误的情况。通过对应用实例的分析，指出因忽略了土壤中异常甲烷是一种混合成因甲烷，从而导致判断失误。为全面解决这一问题，提出了同时选送数量相当的背景土壤样品和异常样品进行甲烷同位素测定，然后通过教学方法计算出真实反映来源于油气藏中的甲烷的碳同位素值的对策方案。     

基于阈值区间的海洋锋面提取模型

A model （Bayesian oceanic front detection, BOFD） of sea surface temperature （SST） front detection in satel- lite-derived SST images based on a threshold interval is presented, to be used in different applications such as climatic and environmental studies or fisheries. The model first computes the SST gradient by using a Sobel algorithm template. On the basis of the gradient value, the threshold interval is determined by a gradi- ent cumulative histogram. According to this threshold interval, front candidates can be acquired and prior probability and likelihood can be calculated. Whether or not the candidates are front points can be deter- mined by using the Bayesian decision theory. The model is evaluated on the Advanced Very High-Resolution Radiometer images of part of the Kuroshio front region. Results are compared with those obtained by using several SST front detection methods proposed in the literature. This comparison shows that the BOFD not only suppresses noise and small-scale fronts, but also retains continuous fronts.     

深海会聚区波导不变量特征研究及应用

为了解决深海会聚区目标及其运动态势难以判断的问题,在研究会聚区形成条件和其声场传播规律以及波导不变量理论的基础上,对典型深海环境不同位置的声强距离-频率分布图中的干涉条纹特征进行理论分析和仿真验证。结果表明,深海会聚区存在与其他区域不同的干涉条纹特征,其对应的波导不变量?值为负。本文提出了利用会聚区特有的干涉条纹特征,对会聚区目标及其运动态势进行初步判断的方法,仿真结果和试验数据表明,判断方法具有可行性和有效性。     

Altimeter Signal-to-Noise for Deep Ocean Processes in Operational Systems

The ocean signal for this study is the sea surface height due to the slowly varying (greater than 5-day) ocean processes, which are predominantly the deep ocean mesoscale. These processes are the focus of present assimilation systems for monitoring and predicting ocean circulation due to ocean fronts and eddies and the associated environmental changes that impact real time activities in areas with depths greater than about 200 m. By this definition, signal-to-noise may be estimated directly from altimeter data sets through a crossover point analysis. The RMS variability in crossover differences is due to instrument noise, errors in environmental corrections to the satellite observation, and short time period oceanic variations. The signal-to-noise ratio indicates that shallow areas are typically not well observed due to the high frequency fluctuations. Many deep ocean areas also contain significant high frequency variability such as the subpolar latitudes, which have large atmospheric pressure systems moving through, and these in turn generate large errors in the inverse barometer correction. Understanding the spatial variations of signal to noise is a necessary prerequisite for correct assimilation of the data into operational systems.     

A New Methodology for Incorporating Tide Gauge Data in Sea Surface Topography Models

As part of the Vertical Offshore Reference Frames (VORF) project sponsored by the U. K. Hydrographic Office, a new model for Sea Surface Topography (SST) around the British Isles has been developed. For offshore areas (greater than 30 km from the coast), this model is largely derived from satellite altimetry. However, its accuracy and level of detail have been enhanced in coastal areas by the inclusion of not only the 60 PSMSL tide gauges with long-term records around the coasts of the United Kingdom and Ireland but also some 385 gauges established at different epochs and for different observation spans by the U. K. Admiralty. All tide gauge data were brought into a common reference frame by a combination of datum models and direct GPS observations, but a more significant challenge was to bring all short-term sea level observations to an unbiased value at a common epoch. This was achieved through developing a spatial-temporal correlation model for the variations in mean sea level around the British Isles, which in turn meant that gauges with long-term observation spans could be used as control points to improve the accuracy of Admiralty gauges. It is demonstrated that the latter can contribute point observations of mean sea level (MSL) with a precision of 0.078 m. A combination of least squares collocation and interpolation was developed to merge the coastal point and offshore gridded data sets, with particular algorithms having to be developed for different configurations of coastal topology. The resulting model of sea surface topography is shown to present a smooth transition from inshore coastal areas to offshore zones. Further benefits of the techniques developed include an enhanced methodology for detecting datum discontinuities at permanent tide gauges.     

印尼热泉菌Bacillus sp. BI-3产琼胶酶的发酵条件优化

采用响应面法对1株高产琼胶酶的印度尼西亚热泉菌Bacillus sp. BI-3的发酵条件进行优化。首先以温度、pH、不同碳源、不同氮源、不同金属离子及接种量作为唯一变量进行单因素实验, 筛选出对酶活有显著影响的单因素取值范围; 参考单因素实验结果, 采用Plackett-Burman实验设计筛选出影响酶活主要因素, 再利用Box-Behnken设计及响应面分析法进行回归分析以确定最佳发酵条件。结果表明, D-甘露糖、氯化锶和氯化钙与酶活存在着显著的相关性, 通过求解回归方程得到Bacillus sp. BI-3的发酵条件系统优化的结果为: 酵母粉0.3%、D-甘露糖0.66%、蛋白胨0.6%、氯化钙7.21mmol/L、氯化锶6.00mmol/L、氯化钠添加量6‰、培养温度为55℃、接种量1%、初始pH 6.0, 优化后发酵上清液的酶活达到6.0U/mL, 比优化前提高了2.4倍。