地电阻率多极距观测及研究进展

回顾了国内外地震地电阻率多极距观测与研究的发展历程,阐述了多极距观测在机理方面的优势,对其现状和存在的问题进行了分析.分析指出:随着地震预测,从经验预报向物理预报的发展,多极距观测系统的建立和反演技术的应用将会受到越来越多的重视.     

利用量子力学势能数据预测温度、压力、盐度和沉积物孔径对甲烷水合物形成和分解的影响

介绍一个预测不同温度、压力、盐度和沉积物毛细管孔径条件下甲烷水合物 溶液 气体多相平衡模型。该模型以Van der Waals和 Platteeuw热力学模型、量子力学从头算粒子相互作用势能、DMW 92状态方程和Pitzer电解质理论为基础,能在很宽广温压范围内预测温度、压力、盐度和毛细管力对甲烷水合物形成和分解的影响。通过对比本模型的预测结果与实验数据,可知本模型能够准确地预测海水和多孔介质中甲烷水合物的相平衡条件。对于一定盐度下多孔介质中甲烷水合物的形成温压条件的在线计算可浏览: www.geochem model.org/models.htm。     

淮河中下游洪泽湖湖泊沉积物粒度特征及其沉积环境意义

以淮河中下游洪泽湖湖底沉积物为研究对象,将放射性核素计年与沉积物粒度分析、粒度平面分形研究以及历史文献资料相结合,初步探讨了洪泽湖湖底沉积物粒度特点及该区域近300年来的气候变化,为恢复百年尺度的气候干湿变化提供了一条新途径。研究发现,湖区气候的干湿变化大致可分为三个阶段。进一步说明沉积物粒度参数的变化不仅与自然环境改变有关,也与人类活动如黄河改道、湖泊周围建闸等关系密切。     

鄂尔多斯盆地北部盒8段古含气范围的地球化学特征

鄂尔多斯盆地盒8段气藏为深盆气藏。通过分析鄂尔多斯盆地苏里格庙地区盒8段储集层中有机包裹体的丰度、储集层的热解特征,并结合该区的构造演化和生烃演化等特征,探讨了苏里格庙北部盒8段气层的古含气边界的变化情况及天然气的保存条件。认为盒8段气层的分布范围在早白垩世末期达到最大,后期的构造抬升对气水边界的影响并不大,这是因为构造抬升后,气源岩的压力下降,增加了煤系地层中吸附气的脱附能力,为气藏补充足够的气体,从而使得古气水边界的分布与现今的差别不大。地层倾角的大小能影响天然气的富集和保存,地层倾角相对平缓的斜坡部位利于天然气的聚集,是高产气区。     

激光实时干涉计量技术和雷达差分干涉技术测量形变的对比研究及其意义

分别叙述了激光干涉技术和雷达差分干涉技术的原理及应用. 采用激光实时干涉计量技术实验室观测试样在加压过程中的形变,研究不同破裂孕育区所表现的不同应变异常场特征. 采用雷达差分干涉技术可以测量地形及地表形变,并且有西藏玛尼、张北——尚义等地震前后的形变测量结果. 指出激光实时干涉计量技术与雷达差分干涉技术相似,都是以条纹变化图研究形变异常场特征. 因此, 对雷达差分干涉技术测量的孕震过程中的形变场,特别是临近大震发生前的形变场特征进行观测和以激光干涉技术进行实验及对比研究均将很有意义.      

长江下游地区下蜀黄土堆积与成壤环境演变——以南京江北地区一典型剖面为例

通过对南京江北地区一个典型剖面（TZC剖面）进行野外调查、室内磁化率、粒度等替代性指标分析和光释光断代研究,探讨了该地区第一层古土壤形成时的粉尘堆积与成壤环境演变特点。结果表明:第一层古土壤（400⁵0cm）形成于全新世最适宜期（8500³100aBP）,是在末次冰期下蜀黄土堆积成壤基础上的再发育,与下伏黄土之间存在发生学联系。根据沉积年代和沉积厚度对沉积速率估算,该地区末次冰期沉积速率约为11.17cm/ka,而且可以推测古土壤顶部经历过强烈的水土侵蚀作用,侵蚀的厚度为98.67cm,侵蚀下来的黄土在地势低洼的地方形成次生黄土,这表明了次生黄土同为风尘成因,只是经过后期雨水的侵蚀、搬运和再堆积而已。全新世晚期3100年以来,季风转变,沙尘暴加剧,土壤退化,在南京江北地区堆积成厚约50cm左右的现代黄土层或表土层。     

基于现场可编程门阵列的幸运成像算法的实现

幸运成像技术是用于消除天文图像中大气湍流影响的高分辨率图像重建技术,传统的基于中央处理器的幸运成像算法难于实时化。利用现场可编程门阵列并行处理的优势,设计了一种基于现场可编程门阵列的幸运成像算法并构建了一个实验系统。该系统用现场可编程门阵列完成了选图、配准、叠加的全部幸运成像算法流程,所得高分辨率图像与基于传统中央处理器算法处理的结果完全相同,但幸运成像算法的处理速度比传统中央处理器的处理速度快19倍。该算法在现场可编程门阵列上的实现,为幸运成像技术的实时或准实时化提供了一种可行的方案。     

近50a河池市日照时数空间变化特征分析

基于河池市10个气象站1961-2010年的日照时数数据,采用线性趋势分析、逐步回归分析等方法,依托GIS技术对河池市近50a日照时数的气候倾向率、年代际变化趋势进行分析。结果表明:河池南部及东南部的都安、宜州、巴马、大化县的年日照时数较多(大于1200h),北部及西北部的天峨、南丹、环江县的北部年日照时数较少(小于1000h);全市各地区的年日照时数变化速率值在-82.66 h/10a～19.8 h/10a之间;河池各县的日照时数年代际变化特征各不相同,其中东兰、凤山和都安大部地区的年日照时数的四个年代都是呈现下降的变化趋势。     

EVALUATION OF CORRECTIONS ON TURBULENT FLUXES OBTAINED BY EDDY COVARIANCE METHOD IN HIGH WINDS

This paper investigates processing of fast-response data and corrections of turbulent fluxes obtained by using eddy covariance method based on data collected at an offshore observation tower during three Cold-intrusion(CI)events in the South China Sea in 2010. This study presents the data processing procedure in detail and compares frictional velocities(u*), sensible heat fluxes(H) and latent heat fluxes(LE) yielded by using different averaging periods and different coordinate rotation methods; evaluates the sonic temperature correction for sensible heat flux and the Webb correction for latent heat flux as a function of 10 m wind speed(u10) during the CIs. The results show(1) that the different averaging periods of 30 min and 10 min cause biases of u*(H, LE) within 5%(15%, 62%). The values of u*(H,LE) averaged from 30 mins are mostly larger than those averaged from 10 mins. We suggest that the averaging period of 10 min is not sufficiently long to capture all scale eddies and recommend 30 min averaging period in calculating turbulent fluxes using eddy covariance method during CIs;(2) that the values of u*(H, LE) obtained from double rotation(DR2) and those obtained from planar fit rotation(PF) have good agreements and correlation coefficients between them are larger than 0.99. Because PF method requires unchanged environment and it is easier to apply DR2 method, we suggest DR2 coordinate rotation method in processing fast-response data; and(3) that the median values of frictional velocity(sensible heat flux and latent heat flux) binned according to 2 m s~(-1) intervals of u_(10) increase(decrease,increase) by less than 9%(4%, 10%) by Coriolis corrections(sonic temperature corrections, Webb corrections), which decreases(decreases, increases) with increasing u10 when u10 are 5-17 m s~(-1).     

通过数据挖掘调查气候变化的长期趋势及其因区域和地方环境而产生的空间差异（英文）

Climate change is a global phenomenon but is modified by regional and local environmental conditions.Moreover,climate change exhibits remarkable cyclical oscillations and disturbances,which often mask and distort the long-term trends of climate change we would like to identify.Inspired by recent advancements in data mining,we experimented with empirical mode decomposition(EMD) technique to extract long-term change trends from climate data.We applied GIS elevation model to construct 3 D EMD trend surface to visualize spatial variations of climate change over regions and biomes.We then computed various time-series similarity measures and plot them to examine spatial patterns across meteorological stations.We conducted a case study in Inner Mongolia based on daily records of precipitation and temperature at 45 meteorological stations from 1959 to 2010.The EMD curves effectively illustrated the long-term trends of climate change.The EMD 3 D surfaces revealed regional variations of climate change,while the EMD similarity plots disclosed cross-station deviations.In brief,the change trends of temperature were significantly different from those of precipitation.Noticeable regional patterns and local disturbances of the changes in both temperature and precipitation were identified.The trends of change were modified by regional and local topographies and land covers.