Calcified roasting-acid leaching process of vanadium from low-grade vanadium-containing stone coal

The low-grade vanadium-containing stone coal used in this experiment was collected from Wuxi Coun- try, Chongqing City, China. The experiment focused on the vanadium recovery from roasted residue through opti- mizing the process conditions of an effective and environmentally-friendly technology, named calcified roast- ing-sulfuric acid leaching technology. By single-factor experiments and orthogonal experiments, the effects of roast- ing temperature, roasting time, sulfuric acid concentration and leaching time on the leaching ratio of vanadium were analyzed. The results showed that the leaching ratio of vanadium reached 85.5% under the proper technological con- ditions of roasting temperature=950℃, roasting time=4 h, 40% concentration of sulfuric acid and leaching time=6 h.     

一阶弹性波交错网格时间高阶差分格式及稳定性分析

弹性波模拟或逆时偏移时,对空间偏导数采用高阶差分格式可提高计算精度,但这种算法的稳定性条件过于严格,要求差分离散的时间步长必须足够小以确保算法稳定。在常规空间高阶差分格式的基础上,将速度(应力)对时间的高阶导数转化为不同精度的应力(速度)对空间的差分,得到了一种新的基于交错网格的时间高阶、空间高阶差分格式。通过对交错网格时间高阶差分格式稳定性的分析,认为该算法的稳定性条件较常规算法宽松,在弹性波场的求解过程中可以采用更大的时间步长。     

珠江口盆地恩平凹陷油气充注期次及时间

应用储层流体包裹技术研究了恩平凹陷油气的成藏规律.结果表明,该区油气主要有两期充注,第一期充注时间较早(20 Ma),以油为主,原油主要来自深部文昌组中深湖相烃源岩,大量油气见于浅层储层;第二期充注时间较晚(5 Ma以后),以天然气为主,天然气主要源自文昌组烃源岩,油气主要分布在深层储集层中.研究认为第一期油气充注与盖层形成时间匹配不好,可能是浅层勘探失利的主要原因之一,因此勘探方向应以深层储层(文昌组)为主,寻找深层早期构造更为重要,是下一步勘探的重要领域.     

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。     

A New Strategy for Solving a Class of Constrained Nonlinear Optimization Problems Related to Weather and Climate Predictability

There are three common types of predictability problems in weather and climate, which each involve different constrained nonlinear optimization problems: the lower bound of maximum predictable time, the upper bound of maximum prediction error, and the lower bound of maximum allowable initial error and parameter error. Highly efficient algorithms have been developed to solve the second optimization problem. And this optimization problem can be used in realistic models for weather and climate to study the upper bound of the maximum prediction error. Although a filtering strategy has been adopted to solve the other two problems, direct solutions are very time-consuming even for a very simple model, which therefore limits the applicability of these two predictability problems in realistic models. In this paper, a new strategy is designed to solve these problems, involving the use of the existing highly efficient algorithms for the second predictability problem in particular. Furthermore, a series of comparisons between the older filtering strategy and the new method are performed. It is demonstrated that the new strategy not only outputs the same results as the old one, but is also more computationally efficient. This would suggest that it is possible to study the predictability problems associated with these two nonlinear optimization problems in realistic forecast models of weather or climate.     

气侯时间序列变点的推断

本文研究时间序列的变点问题。所给出的统计方法可用来推断一个时间序列是否存在变点，存在几个变点以及变点在什么位置。这种统计推断方法可用于气候阶段的划分。     

贵州省道路网络通达性时空演变格局研究

为了有效评价贵州省道路网络通达性,以贵州省2010年、2014年、2018年的道路交通网络为数据基础,采用加权平均旅行时间、地理探测器等方法,分析了贵州省道路网络通达性水平时空演化规律及其影响因素,并提出相应的建议。结果表明,首先,贵州省道路密度发育不均衡,通达性格局呈现以贵阳市为核心呈“同心圈层”结构向外递增;其次,西部市州通达性发展优于东部,2014—2018年通达性提高较2010—2014年更为显著;最后,贵州省道路网络通达性空间变异具有多因素驱动的特点,主要受人均GDP和海拔两个交互因子的共同作用。     

采用DBM方法的时间序列LAI建模与估算

运用DBM(Data Based Mechanistic)方法,使用MODIS数据,建立了遥感观测反射率数据与叶面积指数(LAI)在时间序列上的统计关系模型(LAI_DBM模型),并结合部分Bigfoot站点实测LAI数据进行了模型检验。结果显示,LAI_DBM模型能够较好表达时间序列反射率与LAI的动态变化关系。LAI_DBM模型使用遥感观测数据实时估算得到的LAI,在数据质量和时间连续性上比MODISLAI有改进。     

GPS时间序列分析

GPS时间序列可以用于获取各种地球物理现象、地壳运动的季节性变化规律和板块运动的速度,对地球动力学的研究具有相当重要的意义。本文详细阐述了GPS时间序列分析的方法及其过程,对国内IGS站数据的时间序列进行了分析,并运用功率谱分析其残差时间序列,最后获得GPS连续跟踪站时间序列的噪声类型。     

Relationships between Interannual and Intraseasonal Variations of the Asian-Western Pacific Summer Monsoon Hindcasted by BCC_CSM1.1（m）

Using hindcasts of the Beijing Climate Center Climate System Model, the relationships between interannual variability （IAV） and intraseasonal variability （ISV） of the Asian-western Pacific summer monsoon are diagnosed. Predictions show reasonable skill with respect to some basic characteristics of the ISV and IAV of the western North Pacific summer monsoon （WNPSM） and the Indian summer monsoon （ISM）. However, the links between the seasonally averaged ISV （SAISV） and seasonal mean of ISM are overestimated by the model. This deficiency may be partially attributable to the overestimated frequency of long breaks and underestimated frequency of long active spells of ISV in normal ISM years, although the model is capable of capturing the impact of ISV on the seasonal mean by its shift in the probability of phases. Furthermore, the interannual relationships of seasonal mean, SAISV, and seasonally averaged long-wave variability （SALWV; i.e., the part with periods longer than the intraseasonal scale） of the WNPSM and ISM with SST and low-level circulation are examined. The observed seasonal mean, SAISV, and SALWV show similar correlation patterns with SST and atmospheric circulation, but with different details. However, the model presents these correlation distributions with unrealistically small differences among different scales, and it somewhat overestimates the teleconnection between monsoon and tropical central-eastern Pacific SST for the ISM, but underestimates it for the WNPSM, the latter of which is partially related to the too-rapid decrease in the impact of E1 Nifio-Southern Oscillation with forecast time in the model.