岩溶作用季节性变化对洞穴沉积物沉积速率的影响研究——以重庆雪玉洞地下河系统为例

以重庆雪玉洞地下河系统为例,通过对2007年2月―2011年9月的水化学结果进行分析,结合近年来对洞穴沉积物沉积速率和洞穴CO2浓度的监测,发现雪玉洞地下河水化学成分受围岩的岩溶作用控制,地下河水中的3HCO、Ca2+分别占总离子的84.2%～94.4%,水化学类型为Ca2+-3HCO型。与西南其他岩溶研究区相比,该研究区域由于上覆植被好、枯枝落叶多、土质松软、岩石裂隙发育等因素,促使雨季岩溶作用较旱季异常强烈,雨季地下水中的3HCO、Ca2+和电导率较旱季分别高出20.1%、29.9%和16.5%。洞穴滴水在滴落过程中释放出CO2,导致洞穴CO2浓度升高,但由于雨季水源较旱季更为充裕(洞内表现为滴水增多),因而雨季的洞穴沉积速率较旱季高82.5%。雪玉洞内温度稳定、水汽饱和以及CO2浓度较高,使得岩溶沉积不易风化、色白如玉。     

基于Theil指数的广东省入境旅游经济时空差异研究

运用Theil指数定量评价了1990-2009年广东省入境旅游经济时空尺度上的市际、地带间和地带内差异变化状况,其结论如下:(1)在时间尺度上,广东入境旅游经济市际差异Tp、地带内差异Twr演变呈逐渐收敛趋同的阶梯状下降趋势;珠三角地带间及地带内差异也呈阶梯状下降,东翼、西翼、山区地带间及地带内演变趋势不明显.(2)在空间尺度上,广东省入境旅游经济发展存在非均衡性,市际差异Tp主要来源于地带内差异Twr的贡献,尤其是珠三角地带内差异的贡献;珠三角与东翼、西翼、山区地带间差异较大,而东翼、西翼、山区地带间差异很小,地带间差异Tbr指数珠三角＞东翼＞山区＞西翼.引入区域分离Separation(缩写为SEP)指数来定量比较广东省四大地带入境旅游经济分离收敛的空间变化规律,并对广东省入境旅游经济发展提出相关建议.     

台风中涡旋波1波扰动的形成机制及其变化特征

通常将台风中的螺旋云带看成是一种称为涡旋罗斯贝波的波动,双臂对应的切向波数为2,单臂对应的切向波数为1,目前这种波动发生发展的物理机制仍不很清楚,值得进一步研究.利用柱坐标下的正压流体涡度方程,研究了台风中涡旋罗斯贝波1波扰动的正压不稳定性及发展变化问题.结果表明,当基本流径向涡度梯度小于0时,由于涡度扰动的速度场对于基本涡度场的平流效应,1波(m=1)扰动可从基本流吸取能量而出现不稳定快速增长.但由于扰动旋臂的缠卷作用,径向速度将很快变小,因此,不稳定增长将受到一定的时间限制;波动的发展速度与半径有关,中心附近的波动先发展且向外传播,距中心较远的波动稍后发展.整体上看,波动由中心向外扩展,大尺度台风的螺旋云带比小尺度台风的螺旋云带发展更快.     

Uncertainty estimation of the global temperature trends for multiple radiosondes, reanalyses, and CMIP3/IPCC climate model simulations

Based on three groups of datasets that include radiosondes, reanalyses, and climate model simulations (e.g., Coupled Model Intercomparison Project, CMIP3) from 1979 to 2008, the interannual variability, global temperature trends, and their uncertainty using ensemble spread among intra-group and inter-group datasets have been discussed. The results show that the interannual temperature variability increased from the troposphere to stratosphere, and the maximum occurs around 50?hPa. The CMIP3 climate models have the largest discrepancy in the stratosphere. The intra-group correlations at 500?hPa generally show high similarity within each data group while the inter-group correlations between reanalyses and the CMIP3 climate model simulations indicate lesser similarity. In contrast, the inter-group correlation at 50?hPa is improved except with the Japanese 25-year Reanalysis Project (JRA-25) dataset, and the Twentieth Century Reanalysis (20CR) reanalysis shows a weak cross correlation. The global temperature trends are highly dependent on the individual data sources. Compared to the radiosondes, the reanalyses show a large ensemble spread of trends in the stratosphere, and the CMIP3 climate model simulations have a large ensemble spread in the height of the crossover point where tropospheric warming changes into stratospheric cooling. The largest ensemble spread among the reanalyses in the stratosphere is mainly from the large discrepancy in the JRA-25 reanalysis after 1998 and a relatively weak anomaly in the 20CR before 1986. The largest ensemble spread among the CMIP3 climate models in the troposphere is related to the influence of both volcanic eruptions and El Ni?o/La Ni?a–Southern Oscillation events. The strong anomalies corresponding to the volcanic eruptions of El Chichon in 1982 and Mt Pinatubo in 1991 are clearly identified in the stratosphere. These volcanic eruptions reduced the warming in the troposphere and strengthened the cooling in the stratosphere during the most recent 30?years.     

Subarea characteristics of the long-range correlations and the index χ for daily temperature records over China

Daily temperature records including daily minimum, maximum, and average temperature from 190 meteorological stations over China during 1951–2000 are analyzed from two perspectives: (a) long-term persistence in direction of time varies, and (b) standard deviation in direction of amplitude varies. By employing the detrended fluctuation analysis (DFA), we find all the temperature records are long-term correlated, while the exponent α obtained from DFA varies from different districts of China due to different climate conditions, such as the southwest monsoon, subtropical high, northeast cold vortex, and the Tibetan plateau, etc. After we take the standard deviation into account, a new index χ?=?α?×?σ, which has been proposed recently, can be obtained. By further rescaling it as $ \chi = \overline \chi - {{1} \left/ {5} \right.} \times {\sigma_{{\overline \chi }}} $ , we find an obvious change of χ for these three kinds of time series, from which the whole China can be divided into two groups, which are comparatively consistent with dry/wet distributions in the south–north areas over China.     

西藏地区雷暴与大气热源关系研究

利用1979～2008年NCEP/NCAR全球再分析月平均资料和雷暴记录资料, 运用相关分析和合成分析等方法分别对西藏地区大气热源和雷暴日数的关系以及热源强弱不同时期雷暴日数变化特征进行了分析。结果表明, 大气热源与雷暴日数存在着明显的正相关关系, 月相关系数高达0.86。在雷暴高发区的那曲东部、拉萨、日喀则中部、山南地区东北部和林芝地区西北部, 相关系数均超过了0.4。进一步分析表明, 当大气热源强值年时, 整个日喀则地区、拉萨地区、山南地区、那曲中西部和东部地区以及昌都地区中西部, 雷暴日数是偏多的。当大气热源偏弱时, 雷暴日数在日喀则中部地区减少最为明显, 其次在日喀则南木林县东北部和林芝西北部地区。     

开源GIS支持下的气象灾害风险区划分析

近年来气象灾害频繁发生,给我国人民生活、经济发展带来严重威胁。灾害风险区划分析作为防灾减灾的基础工作,在我国逐渐展开。为探索一种基于开源GIS的县级区域气象灾害风险区划分析技术方案,首先分析开源GIS的发展状况,探讨了开源GIS的质量、性能及应用中需注意的法律因素等,而后以东营市河口区为例,选择QGIS、ILWIS等开源软件,基于区域灾害系统论构建不同气象灾害的分析模型及综合气象灾害分析模型,进行县级区域气象灾害风险区划分析,最终编制实验区气象灾害风险区划分级图。     

A numerical method of combined SPF-MEM-LBM on the rockfall-induced surge and its application

Rockfalls in reservoirs are prone to induce surges,posing a severe threat to passing vessels and facilities.A scheme combined Single-phase free-surface method (...     

基于EQG的WGS-84椭球面等面积格网剖分模型

针对目前等面积全球离散格网模型的不足,提出一种新的等面积椭球面四叉树格网剖分模型,并以WGS-84椭球体为空间基准,阐述该格网的剖分原理及节点坐标计算方法,并对不同层次格网的几何变形进行分析。结果表明:所得格网单元均匀,面积相等,且具有层次性、嵌套性、易于多分辨率的建模等特点。     

A globally applicable, season-specific model for estimating the weighted mean temperature of the atmosphere

In GPS meteorology, the weighted mean temperature is usually obtained by using a linear function of the surface temperature T _s. However, not every GPS station can measure the surface temperature. The current study explores the characteristics of surface temperature and weighted mean temperature based on the global pressure and temperature model (GPT) and the Bevis T _m–T _s relationship (T _m =?a?+?bT _s). A new global weighted mean temperature (GWMT) model has been built which directly uses three-dimensional coordinates and day of the year to calculate the weighted mean temperature. The data of year 2005–2009 from 135 radiosonde stations provided by the Integrated Global Radiosonde Archive were used to calculate the model coefficients, which have been validated through examples. The result shows that the GWMT model is generally better than the existing liner models in most areas according to the statistic indexes (namely, mean absolute error and root mean square). Then we calculated precipitable water vapor, and the result shows that GWMT model can also yield high precision PWV.