The microtine distribution and its environmental significance since the Middle Pleistocene in Zhangping Caves of the Qinling Mountains

Three microtine species are recovered from the Zhangping Caves of the Qingling Mountains, namely Microtus oeconomus, Caryomys inez and Caryomys eva. They are climate-sensitive ones with different ecological habits, therefore their distribution well corresponds to environmental variations. Statistical comparison of the distribution of fossil microtines and their counterparts nowadays displays that the climate variation of the studied area and its contiguity since the middle Pleistocene are: warm and humid at 493 ka ago, cool and humid at 259 ka ago―cold and humid at 205 ka ago―cool and humid at 28 ka ago, and warm and dry at present.     

The thermospheric semiannual density response to solar EUV heating

The goal of this study was to characterize the thermospheric semiannual density response to solar heating during the last 35 years. Historical radar observational data have been processed with special orbit perturbations on 28 satellites with perigee heights ranging from 200 to 1100 km. Approximately 225,000 very accurate average daily density values at perigee have been obtained for all satellites using orbit energy dissipation rates. The semiannual variation has been found to be extremely variable from year to year. The magnitude of the maximum yearly difference, from the July minimum to the October maximum, is used to characterize the yearly semiannual variability. It has been found that this maximum difference can vary by as much as 100% from one year to the next. A high correlation has been found between this maximum difference and solar EUV data. The semiannual variation for each year has been characterized based on analyses of annual and semiannual cycles, using Fourier analysis, and equations have been developed to characterize this yearly variability. The use of new solar indices in the EUV and FUV wavelengths is shown to very accurately describe the semiannual July minimum phase shifting and the variations in the observed yearly semiannual amplitude.     

框格式地下连续墙非线性分析及稳定计算

根据地质及结构特点,建立了能反映框格式地下连续墙力学特性的典型子模型,即槽段有限元模型。基于ABAQUS有限元软件,采用经典的摩尔-库仑（Mohr-Coulomb）屈服准则、非关联流动法则,对框格式混凝土地连墙槽段进行了施工全过程模拟,详细分析了结构在最不利工况下混凝土连续墙的应力与变形,还用强度折减有限元方法分析了该最不利工况下结构的整体稳定性,论证了框格式连续墙这种地基处理方式的合理性与可行性,地下连续墙在应力变形及稳定方面能满足工程需要。     

湖北清江和尚洞洞穴温度对气候变化的响应

对湖北清江流域和尚洞内、洞外气温进行同步高频监测,发现洞穴温度响应洞外气温的变化,但由于受到洞穴的“缓冲作用” ,由外及里的温度变化幅度变小,时间滞后,且响应的快慢具有明显的季节性。2003- 2008年度监测的数据统计表明,在150m 洞深处,洞内日温度的变化幅度仅0. 2℃ ,明显低于洞外气温变化幅度( 6. 9℃ ) ;同样,洞内夏、冬季节温差变化( 6. 9℃ )也小于洞外( 31. 8℃ )。比较洞内外温度的时间序列,发现日尺度上,洞内气温滞后洞外0～ 2小时,而在季节尺度上则滞后10～ 40天,其中降温阶段滞后小,升温阶段滞后大。此外,一年四季中,洞内温度对外界气温变化的响应呈现慢( 2- 4月)→快( 5- 7月)→较快( 8- 10月)→较慢( 11- 1月)的特点,可能与不同季节下洞穴“缓冲作用”的强弱变化有关。      

黄东海大气边界层高度时空变化特征

根据2006-2007年大连、青岛和台州逐日高分辨率L波段二次测风雷达探空资料、地面观测资料以及再分析资料,采用干绝热法和位温梯度法分别计算了各个台站的边界层高度,继而分析了黄东海边界层高度多时间尺度变化规律和空间演变特征.结果表明:(1)用清晨探空资料计算每日边界层高度,干绝热法比位温梯度法更为合理可靠;(2)沿海台站边界层高度有显著季节变化,夏季最低,秋季最高,这有别于陆地边界层普遍存在的夏季高、秋冬季节低的季节变化;(3)通过小波分析,发现边界层高度有显著的2～4 d天气尺度振荡和10～20 d准双周振荡;(4)黄东海上空海洋大气边界层在时间尺度上同样存在着明显的春夏季节低、秋冬季节高的季节变化特征,大部分海区空间上呈现西北低、东南高的分布形态.     

近46年来昆明市日照变化特征分析

分析了昆明市1961~2006年日照时数变化特征及与日照百分率、总云量、低云量、水汽压和地面定时能见度之间的关系。结果表明：日照时数呈减少趋势,日照时数的减少幅度为115 h/10 a,其中又以春、夏季减少最快。年日照时数存在突变现象,突变点在1980年。日照百分率与日照时数变化趋势相一致。年低云量、总云量、水汽压略呈增加趋势,总云量和水汽压与日照时数变化呈显著的负相关,是昆明市日照时数减少的主要因素。地面能见度呈下降趋势,表明大气气溶胶含量上升,影响日照时数变化,但不是主要因素。     

西台吉乃尔盐湖矿区地下卤水钾、镁、锂、硼的时空变化特征

分析了西台吉乃尔盐湖矿区地下卤水中K、Mg、B2O3、Li等4种组分的时空变化特征。结果表明,它们在矿区西北部表现出明显的高值且基本不随时间而变化,这很可能与该区域原始卤水成分有关。由于地表水对地下卤水的淡化作用,这些组分在南部或西南部表现为低值。观测时段的中后期,四种组分的变化较显著,显示出采卤活动对其变化产生了影响。B2O3的高值区主要呈N-W-SE向带状分布,这似乎与该地区的构造背景密切相关。     

Seasonal variation in dust events and the causes of the variation in the Tarim Basin, China

We analyzed dust event occurrence and its seasonal distribution at 16 sites in the Tarim Basin,China.Although the overall frequency of dust events was the highest in spring in this region,its variation in other seasons could be classified into three patterns:(1) frequency of dust events in autumn > that in summer > that in winter(at the Kashi and Kuche sites);(2) frequency in summer > that in winter > that in autumn(at the Ruoqiang site);and(3) frequency in summer > that in autumn > that in winter(at all other areas of the Tarim Basin).The frequency of dust events and their seasonal variations in the Tarim Basin were mainly controlled by wind speed and locally available dust sources;the former was the key control when dust sources did not differ significantly.The seasonal variation in evaporation had a smaller,but still significant effect on the frequency of dust events.     

Spatial distributions and interannual variations of snow cover over China in the last 40 years

By using the observational snow data of more than 700 weather stations,the interannual temporal and spatial characteristics of seasonal snow cover in China were analyzed.The results show that northern Xinjiang,northeastern China-Inner Mongolia,and the southwestern and southern portions of Tibetan Plateau are three regions in China with high seasonal snow cover and also an interannual anomaly of snow cover.According to the trend of both the snow depth and snow cover days,there are three changing patterns for the seasonal snow cover:The first type is that both snow depth and snow cover days simultaneously increase or decrease;this includes northern Xinjiang,middle and eastern Inner Mongolia,and so on.The second is that snow depth increases but snow cover days decrease;this type mainly locates in the eastern parts of the northeastern plain of China and the upper reaches of the Yangtze River.The last type is that snow depth decreases but snow cover days increase at the same time such as that in middle parts of Tibetan Plateau.Snow cover in China appears to have been having a slow increasing trend during the last 40 years.On the decadal scale,snow depth and snow cover days slightly increased in the 1960s and then decreased in the 1970s;they again turn to increasing in the 1980s and persist into 1990s.     

Phytoplankton biomass size structure and its regulation in the Southern Yellow Sea (China): Seasonal variability

Phytoplankton size structure plays a significant role in controlling the carbon flux of marine pelagic ecosystems. The mesoscale distribution and seasonal variation of total and size-fractionated phytoplankton biomass in surface waters, as measured by chlorophyll a (Chl a), was studied in the Southern Yellow Sea using data from four cruises during 2006–2007. The distribution of Chl a showed a high degree of spatial and temporal variation in the study area. Chl a concentrations were relatively high in the summer and autumn, with a mean of 1.42 and 1.27 mg m⁻³, respectively. Conversely, in the winter and spring, the average Chl a levels were only 0.98 and 0.99 mg m⁻³. Total Chl a showed a clear decreasing gradient from coastal areas to the open sea in the summer, autumn and winter cruises. Patches of high Chl a were observed in the central part of the Southern Yellow Sea in the spring due to the onset of the phytoplankton bloom. The eutrophic coastal waters contributed at least 68% of the total phytoplankton biomass in the surface layer. Picophytoplankton showed a consistent and absolute dominance in the central region of the Southern Yellow Sea (>40%) in all of the cruises, while the proportion of microphytoplankton was the highest in coastal waters. The relative proportions of pico- and nanophytoplankton decreased with total biomass, whereas the proportion of the micro-fraction increased with total biomass. Relationships between phytoplankton biomass and environmental factors were also analysed. The results showed that the onset of the spring bloom was highly dependent on water column stability. Phytoplankton growth was limited by nutrient availability in the summer due to the strong thermocline. The combined effects of P-limitation and vertical mixing in the autumn restrained the further increase of phytoplankton biomass in the surface layer. The low phytoplankton biomass in winter was caused by vertical dispersion due to intense mixing. Compared with the availability of nutrients, temperature did not seem to cause direct effects on phytoplankton biomass and its size structure. Although interactions of many different environmental factors affected phytoplankton distributions, hydrodynamic conditions seemed to be the dominant factor. Phytoplankton size structure was determined mainly by the size-differential capacity in acquiring resource. Short time scale events, such as the spring bloom and the extension of Yangtze River plume, can have substantial influences, both on the total Chl a concentration and on the size structure of the phytoplankton.