Energy Spectrum for a Short-Range 1/r Singular Potential with a Non-Orbital Barrier Using the Asymptotic Iteration Method

Using the asymptotic iteration method, we obtain the S-wave solution for a short-range three-parameter central potential with 1/r singularity and with a non-orbital barrier. To the best of our knowledge, this is the first attempt at calculating the energy spectrum for this potential, which was introduced by H. Bahlouli and A. D. Alhaidari and for which they obtained the “potential parameter spectrum”. Our results are also independently verified using a direct method of diagonalizing the Hamiltonian matrix in the J-matrix basis.

Implementing a multispecies size-spectrum model in a datapoor ecosystem

Multispecies ecological models have been used for predicting the effects of fishing activity and evaluating the performance of management strategies. Size-spectrum models are one type of physiologically-structured ecological model that provide a feasible approach to describing fish communities in terms of individual dietary variation and ontogenetic niche shift. Despite the potential of ecological models in improving our understanding of ecosystems, their application is usually limited for data-poor fisheries. As a first step in implementing ecosystem-based fisheries management(EBFM), this study built a size-spectrum model for the fish community in the Haizhou Bay, China. We describe data collection procedures and model parameterization to facilitate the implementation of such size-spectrum models for future studies of data-poor ecosystems. The effects of fishing on the ecosystem were exemplified with a range of fishing effort and were monitored with a set of ecological indicators. Total community biomass, biodiversity index, W-statistic, LFI(Large fish index), Mean W(mean body weight) and Slope(slope of community size spectra) showed a strong non-linear pattern in response to fishing pressure, and largest fishing effort did not generate the most drastic responses in certain scenarios. We emphasize the value and feasibility of developing size-spectrum models to capture ecological dynamics and suggest limitations as well as potential for model improvement. This study aims to promote a wide use of this type of model in support of EBFM.

基于表观特征的三维荧光谱参量化油种鉴别

将基于统计特征的三维荧光谱参量化方法与神经网络模式识别技术相结合,实现污染油的油种鉴别。选取石油三维荧光谱的特征参数并组成特征向量,然后用神经网络技术实现油种的特征参数模式识别。通过基于实验数据的应用仿真,验证了这一方法的实用性和可靠性,从而可以取代人工观察对比的粗大方法。作为基于物质荧光的“指纹”新技术,也可应用于其它物质分析鉴别技术领域。

降水对雾中能见度参数化的影响

雾的能见度是雾滴数浓度和含水量的函数,可以利用雾滴数浓度和含水量进行参数化得到能见度拟合值。但是当雾中有降水存在时,降水会影响雾滴数浓度和含水量,进而影响能见度参数化。2009年1月19日至3月5日在湖北恩施雷达站进行了包括雾微物理特征、雨滴谱及雨滴末速度、能见度以及基本气象要素的观测。利用不同的能见度参数化公式得到能见度拟合值,并与实测值进行对比分析,考虑雾中降水影响时的能见度拟合值要比不考虑降水时的能见度偏差大,因此在有降水伴随雾产生时,降水的效应可忽略不计。同时,利用40%的雾滴谱观测数据建立了良好的模型用于拟合当地的能见度,并利用Gultepe公式得到相应的参数,对当地的能见度进行了计算和预报。

多分辨率频谱感知算法性能的参数化评估方法

多分辨率频谱感知算法是一种利用小波变换时频尺度可变特性,对宽带通信系统进行快速准确地感知的频谱感知算法。基于多分辨率频谱感知算法的特性,提出了一套频谱感知性能参数化评估方法,构建了基于OFDM信号的多分辨率频谱感知算法仿真平台。分别从小波函数基的选取、调制方式、扫描速率以及实际IQ失配问题的影响等角度,对OFDM宽带信号的感知性能进行了系统的仿真评估和分析,获得感知系统在不同参数设置时的检测概率和误检概率评估结果,为认知无线电系统的进一步设计实现与性能评估提供了重要依据。

云粒子谱演化研究中的一些问题

简略介绍了描述云中水凝物粒子群尺度谱演变的方法：谱函数方法和分档方法，并给出了分档模式实例。讨论了谱参数本身以及在应用中应注意的问题。分析了两类方法的对比研究的结果指出，一些重要的云降水物理过程，如粒子类型间的转化，涉及粒子运动状态和人工播撒的效应等过程，应当用分档方法来处理。

云中夹卷混合过程的研究进展

夹卷混合过程表征了云和环境空气之间的相互作用,是云物理和动力过程中不确定性最大的过程之一。它影响着暖云降水形成过程,气溶胶间接效应的强度,云-气候之间的反馈等。本文总结了夹卷混合机制的含义和分类,云降水物理和光学性质的重要性,以及夹卷混合过程的定量描述和参数化。在此基础上,指出了夹卷混合过程研究的难点和未来的研究方向。

CsCl:Cr和CsBr:Cr的光谱和g因子的理论研究

文用参量化轨道理论和双自旋轨道耦合系数模型计算了掺Cr3+的CsCl和CsBr晶体的光谱和顺磁 g因子 。

谱跌效应的参数化研究

在舰船设备的抗冲击性能考核中,由于设备结构惯性力与基础输入之间的相互作用,设备的实际冲击环境常存在谱跌效应,若忽略这一影响将引起冲击考核的较大误差。将多自由度系统冲击响应分析与实验设计统计相结合,对谱跌效应的各个影响因素进行研究,得出了谱跌效应的主要影响因素和变化趋势。通过构造近似模型,得出了谱跌加速度谱和速度谱的多因素经验公式。

三维两粒子Calogero-Sutherland模型的代数解法

利用赝角动量算符方法给出了三维两粒子CSM的算符体系,研究了三维两粒子CSM谱空间上的对称性.得到归一化的本征函数和Glauber相干态的解析表达式.

基于遗传算法的冲击谱合成计算

本文阐述了冲击响应谱在环境试验中的应用价值,介绍了冲击响应谱谱值计算在matlab中的实现方法,并利用matlab中的遗传算法工具合成了满足规范谱要求的时域冲击信号,为有限元分析瞬态冲击问题提供了参数化的激励。

一种双谱估计的非参数化方法

传统的信号处理中,大都是以二阶统计量来作为分析信号的主要方法。当系统是非线性、非最小相位系统以及系统输入是非高斯型的时候,传统的二阶统计量方法存在较大的局限性,甚至不能有效地处理信号。为了解决上述问题,人们通常采用高阶谱估计。本文讨论了高阶谱估计的详细原理,并重点对高阶谱估计中应用较为广泛的双谱估计进行了深入的探讨,提出了一种双谱估计的非参数化方法。实验结果表明,文中方法要优于传统的二阶功率谱估计。

基于参数模型的频响函数估计方法

针对传统的非参数频响函数估计方法不适用于短记录数据的情况,提出了一种基于公分母模型的参数化频响函数估计方法。该方法使用输入输出信号的快速傅里叶变换(输入输出谱)作为主要数据,通过最小二乘法求解参数,利用奇异熵技术对系统进行定阶。最后采用一个二层框架的仿真算例对所提出的算法进行了验证。仿真算例结果表明,通过响应信号的奇异熵能够较准确的对系统定阶,频响函数估计结果与理论值之间吻合较好。

Simulation of the equatorial quasi-biennial oscillation based on the parameterization of continuously spectral gravity waves

On the basis of previous parameterization schemes, considering both the wave breaking and absorbed at critical level, a parameterization with a continuous spectrum of gravity waves is realized by introducing a momentum flux density function for the wave spectrum, and then the parameterization scheme of the gravity waves is improved. Choosing parameter values of the background atmosphere and waves based on the observations, a more realistic equatorial quasi-biennial oscillation (QBO) driven by the incorporated drag from the planetary and gravity waves can be simulated. The numerical results indicate that the forcing magnitude of the planetary and gravity waves varies with the wind field, and in some phases of the QBO, the contribution of the gravity waves is comparable with that of the planetary waves. After the QBO is steadily formed, its amplitude and period and wind configuration are relevant to the effect of vertical diffusion and the momentum flux distribution with spectrum, however, independent of the initial background wind field. Moreover, for any given nonzero initial background wind, a steady QBO can be finally generated due to the incorporated drag from the planetary and gravity waves.

Effects of Cu stress on physiological,biochemical,and spectral properties of wheat at different growth stages

To study the mechanism of Cu toxicity on wheat,the characteristics of Cu stress in pivotal growth periods of wheat were explored by field planting methods.The results showed that at the tillering stage,the concentrations of Cu in the leaf cell fluid were significantly higher than those in the cell wall,and the Cu was primarily enriched in cell fluid.At the jointing and heading stages,the Cu concentration in the leaf cell wall was significantly higher than that in the cell fluid,and the main enrichment was transferred to the cell wall.During the above three growth stages,no Cu was discovered in leaf organelles.Further studies showed that the total soluble protein content in wheat leaves at the tillering and jointing stages showed a trend of first rising and then falling with increased Cu dosage.At the heading stage,under low and medium Cu stress,the total soluble protein content showed no remarkable change.Malondialdehyde(MDA)content at the tillering stage increased with the increase of Cu concentration in the soil,while MDA content did not change noticeably at the jointing and heading stages.At the tillering and heading stages,the low concentrations of Cu increased peroxidase(POD)activity.The POD activity decreased gradually with the increased Cu concentration.However,at the high concentrations of Cu,there was no significant difference in the activity of POD.At the jointing stage,the POD activity did not change significantly under the low Cu stress while it was evidently inhibited under high Cu stress.Based on the above studies,further analyses on the correlation between canopy spectral characteristics and the Cu accumulation at different growth stages of leaf cells were performed,and a new combined index SIPI/NDVI705 performed well in Cu content prediction.The results showed that at different growth stages,different sensitive spectral characteristic parameters should be used to predict the Cu content in leaf cells.

A climatic dataset of ocean vertical turbulent mixing coefficient based on real energy sources

Using data on wind stress, significant height of combined wind waves and swell, potential temperature, salinity and seawater velocity, as well as objectively-analyzed in situ temperature and salinity, we established a global ocean dataset of calculated wind- and tide-induced vertical turbulent mixing coefficients. We then examined energy conservation of ocean vertical mixing from the point of view of ocean wind energy inputs, gravitational potential energy change due to mixing(with and without artificially limiting themixing coefficient), and K-theory vertical turbulent parameterization schemes regardless of energy inputs. Our research showed that calculating the mixing coefficient with average data and artificial limiting the mixing coefficient can cause a remarkable lack of energy conservation, with energy losses of up to 90% and changes in the energy oscillation period. The data also show that wind can introduce a huge amount of energy into the upper layers of the Southern Ocean, and that tidesdo so in regions around underwater mountains. We argue that it is necessary to take wind and tidal energy inputs into account forlong-term ocean climate numerical simulations. We believe that using this ocean vertical turbulent mixing coefficient climatic dataset is a fast and efficient method to maintain the ocean energy balance in ocean modeling research.

Remote Detection of Hydrocarbon Microseepage in a Loess Covered Area

Hydrocarbon microseepage can result in related near-surface mineral alterations.In this study,we evaluated the potential of detecting these alterations with field measured and satellite acquired hyperspectral data.Fourteen soil samples and reflectance spectra were collected in the Xifeng Oilfield,a loess covered area.Soil samples were analyzed in the laboratory for calcite,dolomite,kaolinite,illite,and mixedlayer illite/smectite content,and we processed reflectance spectra for continuum removal to derive clay and carbonate mineral absorption depth(H).High correlation between absorption depth and mineral content was shown for clay and mineral carbonate with field measured spectra.Based on the result for the field spectra,we proposed and tested a fast index based on the absorption depth of clay and carbonate minerals with a hyperspectral image of the area.The detected hydrocarbon microseepage anomalies matched well with those shown in the geological map.