高阶非线性完全频散性波浪数值模型及应用

为更精确地模拟强非线性完全频散性波浪的传播,采用长波上非线性重力表面波传播高阶数学模型,综合参考此模式已有的研究成果,建立了一个高达五阶的完全频散性非线性数值模型。应用该五阶模式对斜坡地形、潜堤地形及正弦沙链地形进行模拟计算,并与已有的实验资料进行对比,结果显示五阶模式较低阶模式模拟结果的精度上有了明显提高,模拟波形与实验结果吻合度良好,证明高阶模式更适用于高频散高非线性波浪传播的数值模拟。     

CMIP5气候模式下淡水通量变化

基于全球降水气候态计划(GPCP)的降水资料和美国伍兹霍尔海洋研究所(WHOI)的客观分析海气通量(OAFlux)的蒸发数据,对CMIP5的13个耦合模式的淡水通量历史模拟结果进行评估。结果表明:模式能够模拟出淡水通量的气候态空间分布,但普遍存在双热带辐合带(ITCZ)现象,热带海域是模式模拟不确定性最大的区域。模式能较好模拟出纬向平均的淡水通量的分布特征,但量值较实测偏小,且由于模式对1月10°S附近淡水通量的模拟过低,导致年平均的赤道和10°S之间的淡水通量模拟存在明显的偏差。季节尺度上,模式对北半球淡水通量的变化特征有很好的模拟能力,但对南半球的模拟能力不足。年际尺度上,模式普遍能够刻画ENSO引起的淡水通量在太平洋中部同西太平洋以及印尼贯通流反相变化的空间分布特征,但是时间特征模拟很差。从各个方面评估模式的历史模拟结果,多模式集合的结果都要优于单个模式的结果。全球变暖背景下,未来淡水通量变化最显著的区域位于热带和亚热带区域。原本蒸发(降水)占主导的海域,蒸发(降水)更强。不同气候情景下,淡水通量变化的空间形态没有显著变化,但RCP8.5气候情景下模拟的淡水通量变化幅度及模式间变化的一致性均强于RCP4.5的结果。     

相变存储材料Ge1Sb2Te4和Ge2Sb2Te5薄膜的结构和电学特性研究

采用射频磁控溅射方法制备了两种用于相变存储器的Ge₁Sb₂Te₄和Ge₂Sb₂Te₅相变薄膜材料,对其结构、电学输运性质和恒温下电阻随时间的变化关系进行了比较和分析.X射线衍射(XRD)和原子力显微镜(AFM)的结果表明:随着退火温度的升高,Ge₁Sb₂Te₄薄膜逐步晶化,由非晶态转变为多晶态,表面出现均匀的、     

雨生红球藻中crtO基因存在3个5’上游侧翼序列

在本研究中,我们首次通过基因组上游第一次步移克隆到了雨生红球藻中crtO基因的3个不同大小的5’上游侧翼序列1．1kb,1．9kb和2．2kb。利用生物信息学方法分别预测并比较了这3个不同大小的5’上游侧翼序列,结果发现,三者具有与高等植物相类似的顺式作用元件,如脱落酸反应元件（ABRE）、干燥或低温反应元件（DRE／C-repeat）、几种光反应元件（G1-box,GAG-motif,l-boxand ATC—motif）、热激反应元件（HSE）、机械伤害反应元件（WUN-motif）、生长素反应元件（TGA-element）、茉莉酸甲酯反应元件（TGACG-element）和反式作用因子MYB蛋白的结合位点（MBSandMRE）等等,但是三者并不具有典型的TATA框和CCAAT框。上述研究预示了雨生红球藻虾青素合成中crtO基因调控方式的多样化。     

1998-2002年中国地表太阳辐射的时空变化分析

地表太阳辐射是陆气能量交换过程中重要的物理参数和生态参数,利用卫星数据反演地表太阳辐射对于全面认识地表太阳辐射空间差异性和年际变化特征具有重要的意义。本文利用GMS-5静止气象卫星数据反演了中国区域1998-2002年地表太阳辐射值,在此基础上分析了我国地表太阳辐射的时空分布特征。结果表明:(1)青藏高原的地表太阳辐射最大,川黔地区最小,都位于北纬22^~35°这一带除川黔地区外,地表太阳辐射从东向西增强,西部随纬度升高而减小,东部以长江流域最小,向南北增加,西南最大,北部次之,至东北地区随纬度升高而减小(2)各月地表太阳辐射量分布复杂,最小值都出现在12月,但最大值出现时间受雨季影响很大,珠江、长江一带主要在雨季过后的7月,华北、东北和青藏高原主要出现在雨季前的6月及5月,西南地区则在季风雨季前的4-5月(3)5年来东部沿海地区地表太阳辐射增加了13.71%(+4.37W/m²·a),西藏高原地区地表太阳辐射减少了9.31%(-3.47W/m²·a),全国地表太阳辐射平均减少了0.84%(-0.27W/m²·a)。     

SPOT5与ERS-2卫星影像的联合立体定位

本文将SPOT5与ERS-2卫星影像联立构成一组立体像对,并通过立体定位的方式获取了地面点的三维坐标。根据本文立体像对前方交会的特殊几何图形,推导了立体定位理论精度的计算公式,并利用实验验证了公式的正确性,同时分析了影响立体定位精度的主要因素。实验结果表明,联合具有一定重叠度的SPOT5和ERS-2影像进行立体定位具有很强的可行性,其精度已可以满足部分测绘任务的要求。     

Integrating downscaled CMIP5 data with a physically based hydrologic model to estimate potential climate change impacts on streamflow processes in a mixed‐use watershed

Climatic changes have altered surface water regimes worldwide, and climate projections suggest that such alterations will continue. To inform management decisions, climate projections must be paired with hydrologic models to develop quantitative estimates of watershed scale water regime changes. Such modeling approaches often involve downscaling climate model outputs, which are generally presented at coarse spatial scales. In this study, Coupled Model Intercomparison Project Phase 5 climate model projections were analyzed to determine models representing severe and conservative climate scenarios for the study watershed. Based on temperature and precipitation projections, output from GFDL‐ESM2G (representative concentration pathway 2.6) and MIROC‐ESM (representative concentration pathway 8.5) were selected to represent conservative (Δ_C) and severe (Δ_S) change scenarios, respectively. Climate data were used as forcing for the soil and water assessment tool to analyze the potential effects of climate change on hydrologic processes in a mixed‐use watershed in central Missouri, USA. Results showed annual streamflow decreases ranging from ?5.9% to ?26.8% and evapotranspiration (ET) increases ranging from +7.2% to +19.4%. During the mid‐21st century, sizeable decreases to summer streamflow were observed under both scenarios, along with large increases of fall, spring, and summer ET under Δ_S. During the late 21st century period, large decreases of summer streamflow under both scenarios, and large increases to spring (Δ_S), fall (Δ_S) and summer (Δ_C) ET were observed. This study demonstrated the sensitivity of a Midwestern watershed to future climatic changes utilizing projections from Coupled Model Intercomparison Project Phase 5 models and presented an approach that used multiple climate model outputs to characterize potential watershed scale climate impacts.     

Seasonal evaluation of rainfall estimation by four cumulus parameterization schemes and their sensitivity analysis

Sustainable water resources management require scientifically sound information on precipitation, as it plays a key role in hydrological responses in a catchment. In recent years, mesoscale weather models in conjunction with hydrological models have gained great attention as they can provide high‐resolution downscaled weather variables. Many cumulus parameterization schemes (CPSs) have been developed and incorporated into three‐dimensional Pennsylvania State University/National Center for Atmospheric Research (PSU/NCAR) mesoscale model 5 (MM5). This study has performed a comprehensive evaluation of four CPSs (the Anthes–Kuo, Grell, Betts–Miller and Kain–Fritsch93 schemes) to identify how their inclusion influences the mesoscale model's precipitation estimation capabilities. The study has also compared these four CPSs in terms of variability in rainfall estimation at various horizontal and vertical levels. For this purpose, the MM5 was nested down to resolution of 81 km for Domain 1 (domain span 21 5; 81 km) and 3 km for Domain 4 (domain span 16 5; 3 km), respectively, with vertical resolutions at 23, 40 and 53 vertical levels. The study was carried out at the Brue catchment in Southwest England using both the ERA‐40 reanalysis data and the land‐based observation data. The performances of four CPs were evaluated in terms of their ability to simulate the amount of cumulative rainfall in 4 months in 1995 representing the four seasonal months, namely, January (winter), March (spring), July (summer) and October (autumn). It is observed that the Anthes–Kuo scheme has produced inferior precipitation values during spring and autumn seasons while simulations during winter and summer were consistently good. The Betts–Miller scheme has produced some reasonable results, particularly at the small‐scale domain (3 km grid size) during winter and summer. The KF2 scheme was the best scheme for the larger‐scale (81 km grid size) domain during winter season at both 23 and 53 vertical levels. This scheme tended to underestimate rainfall for other seasons including the small‐scale domain (3 km grid size) in the mesoscale. The Grell scheme was the best scheme in simulating rainfall rates, and was found to be superior to other three schemes with consistently better results in all four seasons and in different domain scales. Copyright © 2011 John Wiley & Sons, Ltd.     

钴—5—Br—PADNm络合物的光度性质研究及其应用

本文研究了钴(Ⅱ)-5-Br-PADNm络合物的光度性质。在pH5.0缓冲溶液中,有TritonX-100存在时,Co~(2 )与5-Br-PADNm形成1:2红色络合物,λ_(max)为547nm,ε为1.35×10~5l·mol~(-1)·cm~(-1)。所提出的方法用于矿石及茶叶中Co的测定,得到满意结果。     

Primary cracking of kerogens. Experimenting and modelling C1, C2–C5, C6–C15 and C15+ classes of hydrocarbons formed

Mathematical models of hydrocarbon formation can be used to simulate the natural evolution of different types of organic matter and to make an overall calculation of the amounts of oil and/or gas produced during this evolution. However, such models do not provide any information on the composition of the hydrocarbons formed or on how they evolve during catagenesis.From the kinetic standpoint, the composition of the hydrocarbons formed can be considered to result from the effect of “primary cracking” reactions having a direct effect on kerogen during its evolution as well as from the effect of “secondary cracking” acting on the hydrocarbons formed.This report gives experimental results concerning the “primary cracking” of Types II and III kerogens and their modelling. For this, the hydrocarbons produced have been grouped into four classes (C₁, C₂–C₅, C₆–C₁₅ and C₁₅₊). Experimental data corresponding to these different classes were obtained by the pyrolysis of kerogens with temperature programming of 4°C/min with continuous analysis, during heating, of the amount of hydrocarbons corresponding to each of these classes.The kinetic parameters of the model were optimized on the basis of the results obtained. This model represents the first step in the creation of a more sophisticated mathematical model to be capable of simulating the formation of different hydrocarbon classes during the thermal history of sediments. The second step being the adjustment of the kinetic parameters of “secondary cracking”.