我国湖泊环境演变及其成因机制研究现状

湖泊沉积忠实地记录了湖泊环境变化的各类信息.不同时问尺度的湖泊环境变化分别受到构造、气候与人类活动三个方面的驱动机制的影响.影响中同湖泊环境变化的最主要的构造运动是青藏高原的隆升;气候变化的影响主要是东亚季风系统带来的一系列作用;而人类活动的影响则比较复杂,不仅有流域植被、土壤性质的改变导致输入湖泊物质的变化,也有人类活动直接改造湖泊,如围垦、封堵等.准确地分析湖泊环境变化的各种过程与规律,特别是定量刻画人与自然相互作用下的湖泊环境响应过程与驱动机理,是当今科学界的热点.     

冬春季切变类冰雹发生条件的对比分析

本文以 1996年 12月 31日和 1981年 5月 1日为例 ,对冬、春季节发生在江苏的较大范围的切变类冰雹天气过程作了对比分析。结果指出 ,无论冬季或春季当高原东部有深槽东移 ,冷暖空气在江淮地区交汇 ,地面抬升系统为暖切 ,并有大气层结不稳定 (Δθse( 50 0 - 850 ) <0℃ =中心和较强的风向和风速垂直切变、85 0hPa西南急流轴、85 0hPa最大水汽通量轴线、5 0 0和 85 0hPa正涡度中心等相配置时 ,就可能导致江苏地区较大范围强对流天气的发生。     

不同构造参数对圆环耗能器性能的影响分析

设计了13组不同构造参数的圆环耗能器,采用ABAQUS软件对安装在支撑框架结构中的圆环耗能器进行参数分析,研究圆环钢板厚度、圆环外直径、支撑角度、圆环钢板局部削弱形式和削弱深度对圆环耗能器性能的影响。研究结果表明：圆环耗能器滞回曲线稳定、饱满,塑性耗能能力强;随着圆环钢板厚度的增加或者圆环外直径的减小,圆环耗能器初始刚度和屈服力增大;支撑与横梁之间的角度对圆环耗能器性能有一定影响,交叉支撑角度宜取45°左右;圆环钢板局部削弱圆环耗能器比不削弱圆环耗能器具有更好的耗能效果;圆环钢板局部削弱形式宜采用圆弧式,且钢板削弱深度宜控制在圆环钢板宽度的20%~30%。     

一种新的统计回归模型及其建模方案

根据经典门限自回归模型的基本思想,引入半截多项式变换,导出了一种新的统计回归模型,并提出了相应的一整套建模方案。这种模型和建模方案的特点是:（1）解决了统计回归分析中逐段线性化模型的检验问题;（2）在确定统计回归模型中各待估参数和变量——包括门限变量、门限值、阶数、时滞和回归系数时显得十分方便、快捷。试验结果表明,根据此方案建立的统计回归模型具有较高的拟合和预报精度,同时具有良好的稳定性。     

不同时间尺度上的热带海气耦合扰动

本文从热带地球流体运动的物理特征出发,建立了适合热带地区特点的海气耦合模式方程组并对之进行了系统的尺度分析,指出时间尺度不同的运动其受控的物理过程各异。基于这种时间尺度的差异,我们有可能将不同时间尺度的运动分开来研究。计算结果表明,去掉海洋中的波动过程,仅仅考虑与海洋表面温度场的变化相联系的扰动形式会对耦合系统及耦合扰动的性质造成很大影响。由此看来,Ｎｅｅｌｉｎ所谓的“快波极限”不是一种好的近似。     

发展方程的非线性计算不稳定问题

进一步讨论了有关非线性不稳定的一些问题,其主要内容有： １．考察了有代表性的三类发展方程,指出其对应的差分格式是否出现非线性计算不稳定,与原微分方程解的性质密切相关。 ２．进一步讨论了带周期边条件的守恒型差分格式的非线性计算稳定性问题,总结了克服非线性不稳定的有效措施。 ３．以非线性平流方程为例,着重分析了带非周期边条件的非守恒差分格式的非线性计算稳定性问题,给出了判别其计算稳定性的“综合分析判别法”。     

High-resolution climate simulation of the last glacial maximum

The climate of the last glacial maximum (LGM) is simulated with a high-resolution atmospheric general circulation model, the NCAR CCM3 at spectral truncation of T170, corresponding to a grid cell size of roughly 75 km. The purpose of the study is to assess whether there are significant benefits from the higher resolution simulation compared to the lower resolution simulation associated with the role of topography. The LGM simulations were forced with modified CLIMAP sea ice distribution and sea surface temperatures (SST) reduced by 1°C, ice sheet topography, reduced CO₂, and 21,000 BP orbital parameters. The high-resolution model captures modern climate reasonably well, in particular the distribution of heavy precipitation in the tropical Pacific. For the ice age case, surface temperature simulated by the high-resolution model agrees better with those of proxy estimates than does the low-resolution model. Despite the fact that tropical SSTs were only 2.1°C less than the control run, there are many lowland tropical land areas 4–6°C colder than present. Comparison of T170 model results with the best constrained proxy temperature estimates (noble gas concentrations in groundwater) now yield no significant differences between model and observations. There are also significant upland temperature changes in the best resolved tropical mountain belt (the Andes). We provisionally attribute this result in part as resulting from decreased lateral mixing between ocean and land in a model with more model grid cells. A longstanding model-data discrepancy therefore appears to be resolved without invoking any unusual model physics. The response of the Asian summer monsoon can also be more clearly linked to local geography in the high-resolution model than in the low-resolution model; this distinction should enable more confident validation of climate proxy data with the high-resolution model. Elsewhere, an inferred salinity increase in the subtropical North Atlantic may have significant implications for ocean circulation changes during the LGM. A large part of the Amazon and Congo Basins are simulated to be substantially drier in the ice age—consistent with many (but not all) paleo data. These results suggest that there are considerable benefits derived from high-resolution model regarding regional climate responses, and that observationalists can now compare their results with models that resolve geography at a resolution comparable to that which the proxy data represent.     

Winter precipitation variability over Korean Peninsula associated with ENSO

In this study, winter precipitation variability associated with the El Niño-Southern Oscillation (ENSO) over the Korean Peninsula was investigated using a 5-pentad running mean data because significant correlation pattern cannot be revealed using seasonal-mean data. It was found a considerably significant positive correlation between Niño3 sea-surface temperature and precipitation during early winter (from Mid-November to early-December), when the correlation coefficient is close to 0.8 in early-December; the correlation is distinctively weakened during late winter. It is demonstrated that such sudden intraseasonal change in relation to ENSO is associated with the presence of anticyclonic flow over the Kuroshio extension region (Kuroshio anticyclone). In early winter, there is strong southerly wind over the Korean Peninsula, which is induced by the Philippine Sea anticyclone and Kuroshio anticyclone. However, in January, although the Philippine Sea anticyclone develops further, the Kuroshio anticyclone suddenly disappears; as a result, the impact of ENSO is considerably weakened over the Korean Peninsula. These results indicate that the Kuroshio anticyclone during El Niño peak phase plays a critical role by strongly affecting Northeast Asia climate, including the Korean Peninsula. In addition, it is also found that there are distinctive interdecadal changes of the relationship between ENSO and precipitation over the Korean Peninsula. In particular, the strong correlation in early winter is clearer in the recent 30 years than that in the previous period of 1950–1979.     

���ʻ���̽��ƻ���չ���й������������������ƻ��о�

??????????????????????????????????????????????????? ????SGG-Doppler??VLBI???????????????????????????й???????????????????????????????SGG-Doppler-VLBI????????????????????????