FWG2递减开发模型

本文提出了ＦＷＧ２递减开发模型,提出了开发速度,采出程度等开发指标的数学关系式,分析了参数对ＦＷＧ２递减开发模型的影响,提出了开发初期ＦＷＧ２递减开发模型的确定方法,便于开发初期决策,制作了ＦＷＧ２递减开发模型的ｌｏｇＶｄ－ｌｏｇＲｐ图版,ｌｏｇＶＤ～ｌｏｇ（ａｔ）图版,ｌｏｇＲｐ－ｌｏｇ（ａｔ）图版,提出了开发中晚期ＦＷＧ２递减开发模型的判断方法,三点抛物线法和三种图牌区配的拟合方法,为开发中晚期预测奠定了基础,ＦＷＧ２递减开发模型是一种高精度直线递减模型。     

钝顶螺旋藻营养生理的研究 I：钝顶螺旋藻对无机碳的吸收利用

碳源对于进行光合作用的各种藻类是必不可少的。螺旋藻的生 态习性是在高pH环境下生长,因此螺旋藻碳代谢的研究有特殊的意义。文中报道了螺旋藻对 无机碳的吸收利用以及与其生长的关系,结果表明螺旋藻培养基中碳酸氢钠的浓度50～100mm ol/dm3时,不仅可以满足螺旋藻生长的需要,而且有助于保持藻体生长的pH值。结果还表 明适当添加碳酸氢氨有利于螺旋藻的生长。     

中国对虾类淋巴组织培养中 细胞异常的病理研究

在对养殖中国对虾和海捕中国对虾的类淋巴 器官进行组织培养时,发现迁出的细胞空泡化、细胞内颗粒较多。培养一周后由养殖中国对 虾类淋巴组织迁出的细胞开始大量脱落,而由海捕中国对虾类淋巴组织培养出的细胞可生长 30d左右。对未经培养的类淋巴组织及培养的类淋巴组织进行透射电镜观察,发现在养殖中 国对虾类淋巴组织的细胞中除了有球形病毒及球状和多面体状病毒包涵体外,在细胞质中还 含有大量类立克次氏体样原核生物,而且每个细胞中的类立克次氏体均由一单层膜包在一起 ;在海捕中国对虾类淋巴组织的细胞中也发现有球形病毒及球状病毒包涵体,另外还在少量 细胞中发现有类立克次氏体样原核生物存在。感染病毒的组织细胞呈现空泡化、核膜肿胀破 裂、核质固缩、高尔基体肿胀、线粒体嵴消失等病理变化。感染有类立克次氏体样原核生物 的细胞不同程度地呈现出细胞器消失、核染色质固缩等病理结构。     

铅在高岭石表面的解吸动力学

经过酸性条件下（pH=3.1)Pb(Ⅱ）高岭石表面解吸动力学的研究，发现解吸反应与吸附反应动力学相似，也是一个二阶段的过程，即初始的快速解吸之后伴随着一个缓慢的释放过程。在快速解吸阶段，7min内解吸量即已达到41％。吸附铅没有完全解吸，有近38％残留在高岭石表面，即解吸和吸附过程不是完全可逆的。解吸过程可以用扩展Elovich方程、Elovich方程、双常数方程和一级扩散方程较好地似合。     

CFG短桩复合地基技术用于高层建筑地基处理的探讨

阐述了ＣＦＧ短桩复事地基技术的特点及应用范围,并列举了２个具体的工程实例,经过实践验证该技术是一项省钱、施工质量容易得到保证且能满足复合地基承载力及最终沉降量要求的新技术。探讨了ＣＦＧ短桩复合地基设计中的几个理论问题,产提出了该项技术的进一步研究方向。     

IAP GCM模式大气背景环流在厄尔尼诺年的异常

本文分析了中国科学院大气物理研究所大气环流模式(IAP GCM)模式大气5～9月平均环流(本文称为背景环流)。结果表明;厄尔尼诺年一系列重要系统(南方涛动、瓦克环流、哈德莱环流、西太平洋副热带高压和热带辐合带)及大范围降水均发生明显异常;北半球西太平洋热带、副热带是环流异常的主要区域。它们与观测资料的分析结果基本一致,从而论证了该模式在低纬环流研究中的应用前景。     

Impact of single-point GPS integrated water vapor estimates on short-range WRF model forecasts over southern India

Specifying physically consistent and accurate initial conditions is one of the major challenges of numerical weather prediction (NWP) models. In this study, ground-based global positioning system (GPS) integrated water vapor (IWV) measurements available from the International Global Navigation Satellite Systems (GNSS) Service (IGS) station in Bangalore, India, are used to assess the impact of GPS data on NWP model forecasts over southern India. Two experiments are performed with and without assimilation of GPS-retrieved IWV observations during the Indian winter monsoon period (November–December, 2012) using a four-dimensional variational (4D-Var) data assimilation method. Assimilation of GPS data improved the model IWV analysis as well as the subsequent forecasts. There is a positive impact of ～10 % over Bangalore and nearby regions. The Weather Research and Forecasting (WRF) model-predicted 24-h surface temperature forecasts have also improved when compared with observations. Small but significant improvements were found in the rainfall forecasts compared to control experiments.     

Evaluation of global climate model on performances of precipitation simulation and prediction in the Huaihe River basin

Using climate models with high performance to predict the future climate changes can increase the reliability of results. In this paper, six kinds of global climate models that selected from the Coupled Model Intercomparison Project Phase 5 (CMIP5) under Representative Concentration Path (RCP) 4.5 scenarios were compared to the measured data during baseline period (1960–2000) and evaluate the simulation performance on precipitation. Since the results of single climate models are often biased and highly uncertain, we examine the back propagation (BP) neural network and arithmetic mean method in assembling the precipitation of multi models. The delta method was used to calibrate the result of single model and multimodel ensembles by arithmetic mean method (MME-AM) during the validation period (2001–2010) and the predicting period (2011–2100). We then use the single models and multimodel ensembles to predict the future precipitation process and spatial distribution. The result shows that BNU-ESM model has the highest simulation effect among all the single models. The multimodel assembled by BP neural network (MME-BP) has a good simulation performance on the annual average precipitation process and the deterministic coefficient during the validation period is 0.814. The simulation capability on spatial distribution of precipitation is: calibrated MME-AM > MME-BP > calibrated BNU-ESM. The future precipitation predicted by all models tends to increase as the time period increases. The order of average increase amplitude of each season is: winter > spring > summer > autumn. These findings can provide useful information for decision makers to make climate-related disaster mitigation plans.     

IAP GCM模式大气波谱结构及其在厄尔尼诺年的异常

本文分析了中国科学院大气物理研究所大气环流模式(IAP GCM)模式大气波谱结构(沿纬圈的谐波波谱和时域上的频率谱)及其在厄尔尼诺年的异常。结果表明,超长波是低纬波动的主要空间形式,准40天振荡在一定地理区域内显著存在,并与观测结果有一定联系,它们在厄尔尼诺年均发生明显异常。本工作对鉴定GCM性能及开发GCM的研究领域可能是一种有益的尝试。