短期风化对混合溢油组成的影响

对两种原油进行混合配比实验,将混合后油样置于人工气候箱进行风化模拟实验,采用气相色谱质谱联用仪(GC-MS)检测风化样品中的生物标志化合物,短期风化作用对混合溢油的油指纹、生物标志化合物诊断指标等的影响。结果表明,混合溢油的正构烷烃总质量变化与单一原油油品的变化规律相近,即前期风化较快,质量减损较多,而后期风化趋缓,不同混合比例的溢油表现差异不明显。常用于短期风化的诊断比值对各混合油样的风化具有指示意义,但难以定性鉴别油品是否发生混合。重复性限法检验只能判定短期风化过程前后的油样为同一油源,而难以反映油样是否为混合油源的特征,各诊断比值的RSD%值较大可能是混合溢油的一个表现。     

基于PIV技术不同形式防波堤周围涡旋场特性研究(英文)

深水防波堤周围流场存在复杂的紊动变化,防波堤较容易发生失效破坏。本文利用PIV技术,基于模型实验,对规则波作用下防波堤周围的速度流场及其涡流特性进行了实验研究,获得了规则波流场的瞬时速度分布。通过对不同型式防波堤在不同的水力条件下的波浪流场实验数据的分析,定量地研究了防波堤堤身水域的涡旋流场的水力特性。     

基于CI指数的宁夏干旱致灾因子特征指标分析

基于1981 2010年宁夏23个气象站逐日降水和气温资料,采用综合气象干旱指数CI,从干旱发生日数、干旱范围、干旱频率和干旱强度等方面对宁夏干旱致灾因子特征指标进行了分析,并作了致灾因子危险性评估与区划。结果表明,近30年宁夏干旱发生日数、发生范围、干旱频率和干旱强度均呈增加趋势;干旱致灾因子危险性呈从南到北不断增加的趋势,致灾因子危险性指数最大为0.94,最小在0.1以下,南部大部分地区普遍处于干旱致灾因子低危险区,北部大部分地区处于干旱致灾因子高危险区。     

对流层气溶胶的直接气候效应对平流层的影响

通过WACCM-3模式中气溶胶光学厚度与卫星资料的对比发现,模式可以很好地再现全球气溶胶的主要分布特征,但在一些区域还存在数值上的差异。利用数值试验研究对流层气溶胶的直接气候效应对平流层气候的影响,结果表明:对流层气溶胶对平流层气候有明显影响,平流层化学过程在这一影响中起重要作用,而对流层气溶胶对平流层辐射的影响不是其直接气候效应对平流层影响的主要原因。其机制可能是对流层气溶胶改变对流层的辐射平衡,影响对流层的温度和大气环流,进而影响行星波的上传,使得平流层气候发生变化;影响区域主要位于高纬度和极地地区,南半球的变化比北半球大,温度变化最大达10 K,纬向风变化最大可达12 m/s,臭氧体积分数最多减少0.8×10-6。     

区域Gamma混合模型的SAR图像分割

针对传统Gamma混合模型用于SAR图像分割时忽略像素间空间相关性,导致分割结果不连续并产生大量误分割的现象,提出了区域Gamma混合模型的SAR图像分割算法。首先对图像进行分水岭分割,得到过分割区域块,然后将其作为输入样本进行基于Gamma混合模型的聚类,在模型的参数估计过程中进一步考虑区域间的空间相关性,设计邻域因子融入到迭代过程,得到邻域加权类分布概率。该算法充分利用像素间的空间相关性,能够降低噪声对分割结果的影响。通过合成图像和真实SAR图像的实验表明,本文算法能够实现SAR图像的准确分割。     

The Southern Annular Mode (SAM) in PMIP2 simulations of the last glacial maximum

The increasing trend of the Southern Annular Mode （SAM） in recent decades has influenced climate change in the Southem Hemisphere （SH）.How the SAM will respond increased greenhouse gas concentrations in the future remains uncertain.Understanding the variability of the SAM in the past under a colder climate such as during the Last Glacial Maximum （LGM） might provide some understanding of the response of the SAM under a future warmer climate.We analyzed the changes in the SAM during the LGM in comparison to pre-industrial （PI） simulations using five coupled ocean-atmosphere models （CCSM,FGOALS,IPSL,MIROC,HadCM） from the second phase of the Paleoclimate Modelling Intercomparison Project （PMIP2）.In CCSM,MIROC,IPSL,and FGOALS,the variability of the simulated SAM appears to be reduced in the LGM compared to the PI simulations,with a decrease in the standard deviation of the SAM index.Overall,four out of the five models suggest a weaker SAM amplitude in the LGM consistent with a weaker SH polar vortex and westerly winds found in some proxy records and model analyses.The weakening of the SAM in the LGM was associated with an increase in the vertical propagation of Rossby waves in southern high latitudes.     

Planetary-Scale Wave Structures of the Earth’s Atmosphere Revealed from the COSMIC Observations

GPS radio occultation（GPS RO） method,an active satellite-to-satellite remote sensing technique,is capable of producing accurate,all-weather,round the clock,global refractive index,density,pressure,and temperature profiles of the troposphere and stratosphere.This study presents planetary-scale equatorially trapped Kelvin waves in temperature profiles retrieved using COSMIC（Constellation Observing System for Meteorology,Ionosphere,and Climate） satellites during 2006-2009 and their interactions with background atmospheric conditions.It is found that the Kelvin waves are not only associated with wave periods of higher than 10 days（slow Kelvin waves） with higher zonal wave numbers（either 1 or 2）,but also possessing downward phase progression,giving evidence that the source regions of them are located at lower altitudes.A thorough verification of outgoing longwave radiation（OLR） reveals that deep convection activity has developed regularly over the Indonesian region,suggesting that the Kelvin waves are driven by the convective activity.The derived Kelvin waves show enhanced（diminished） tendencies during westward（eastward） phase of the quasi-biennial oscillation（QBO） in zonal winds,implying a mutual relation between both of them.The El Nino and Southern Oscillation（ENSO） below 18 km and the QBO features between 18 and 27km in temperature profiles are observed during May 2006-May 2010 with the help of an adaptive data analysis technique known as Hilbert Huang Transform（HHT）.Further,temperature anomalies computed using COSMIC retrieved temperatures are critically evaluated during different phases of ENSO,which has revealed interesting results and are discussed in light of available literature.     

The roles of different mechanisms related to the tide-induced fronts in the Yellow Sea in summer

In summer, the Yellow Sea Cold Water Mass （YSCWM） is a stable water mass of low temperature lying at the bottom of the central Yellow Sea （YS）. It is fringed by some typical tidal fronts, which separate deep, stratified water on the offshore side from the well-mixed, shallow water on the inshore side. Three striking fronts--Subei Bank Front （SBF）, Shandong Peninsula Front （SPF）, and Mokpo Front （MKF; a front off the southwestern tip of the Korean Peninsula）--have been iden- tified by various studies from both satellite observations and model results. Tide plays an important role in the formation and maintenance of these fronts. However, it is still a matter of debate as to the roles these two kinds of mechanisms of upwelling and tidal mixing play, and how importance they are in the maintenance processes of the above three fronts. Basing a nested high-resolution model HYCOM （the Hybrid Coordinate Ocean Model）, this study focuses on the different mechanisms of tidal effects on the thermal fronts in the YS in summertime. Through comparative experiments with and without tidal forcing, the results indicate that the MKF is mainly driven by tide-induced upwelling. For the SPF, tidal mixing is the dominant factor, when lower cold water is stirred upwards along the sloping topography of the western YS. Meanwhile, the combined effect of upwelling and tidal mixing is the main cause of the formation of the SBF. Diagnostic analysis of thermal balance shows that horizontal nonlinear advection induced by strong tidal currents also contributes to the thermal balance of frontal areas.     

被动微波遥感雪深反演混合像元问题研究EI北大核心CSCD

积雪深度是反映地表积雪量变化的重要因子,是水文模型和气候模式中的重要参数之一。被动微波遥感以其穿云透雾、对雪层信息敏感等特点,被广泛应用于雪深的反演研究中。被动微波传感器的低空间分辨率(数千米至数十千米)及地表覆盖的复杂性,使星载被动微波遥感影像中的混合像元现象十分突出,严重制约了被动微波雪深遥感监测的应用和发展。目前,被动微波遥感雪深反演中的混合像元问题研究仍存在着诸多挑战:①理论支撑不足,对被动微波混合像元亮温响应特征及影响机制的研究尚不充分;②针对混合像元问题所发展的被动微波雪深反演算法,对地表异质性特征考虑不足。     

加乘性混合误差模型精度评定的SUT法EI北大核心CSCD

已有加乘性混合误差模型参数估计方法能达到二阶精度,但精度评定方法只能达到一阶精度,若通过传统泰勒级数展开近似函数法来获取参数估值的二阶精度信息,由于加乘性混合误差模型中参数估值与观测值为一个复杂的非线性关系,必然需要复杂的求导运算。针对该问题,本文使用一种无须求导、无须了解非线性函数构成的比例无迹变换(scaled unscented transformation,SUT)法来计算参数估值的二阶精度信息。通过算例分析表明,利用SUT法求解加乘性混合误差模型能够有效避免复杂的求导运算,所求得的参数估值及其协方差阵均能达到二阶精度,从而验证了本文方法的可行性和优势。