Landsat-8的舟山近岸海域总悬浮物遥感反演与时空变异研究

总悬浮物(TSM)是海洋水质和水环境评价的主要参数之一。舟山海域位于杭州湾边缘,泥沙含量多,总悬浮物长期处于高浓度状态,其分布与动态变化对近岸水质、水循环以及该区域的渔业、旅游业都有较大影响。Landsat-8卫星影像作为一种应用广泛、空间分辨率高、便于获取的光学信息,可以为舟山海域的TSM观测提供有力的技术手段。利用舟山近岸海域实测TSM吸收系数a_p(440)和水面光谱,开发了基于Landsat-8反演TSM的最优模型,发现基于近红外和蓝色波段比B5/B2的S-函数和线性函数模型反演精度较好,相对于线性模型,S-函数具有更强的鲁棒性,该模型形式为a_p=3.72/(0.009+e-5.249B5/B2),克服了常用函数模型（如线性、对数、指数函数）应用于实际卫星影像时出现光谱幅度范围受限的困难。海岸带内陆复杂水体水色遥感的另一难点是大气校正,以往的研究往往只采用某种大气校正模型,但该模型不一定适合研究水域,从而使得校正结果并不一定是最优的。在本研究中,验证比较了FLAASH,6S和ACOLITE三种大气校正方法面向Landsat-8水色反演的校正结果,发现ACOLITE方法获取的光谱形状最准确,误差最小,特别在蓝色波段,明显好于FLAASH和6S方法。将最优模型应用于舟山近岸海域2013到2018年的10幅Landsat-8图像。实测数据和反演结果显示：舟山近岸海域的TSM吸收系数a_p(440)的变化范围在1.64～417.04 m-1,均值118.47 m-1,TSM吸收占水体总吸收的90%以上,该海域实测的水面光谱形状呈现典型的河口海岸带复杂浑浊水体的光谱特征,很多光谱曲线具有双峰特征,遥感反射率幅值较大,特别是红色、近红外波段,由于受河口高浓度TSM的影响,遥感反射率高于远海较清洁的海水;衢山、洋山、宁波等近岸区域的TSM浓度明显高于东极、嵊泗等远海区域,随河口羽化区呈现由高到低的梯度变化,在近岸区域分布复杂,外海区域分布较为均匀。在时间分布上具有冬季浓度远高于夏季的特点,其中12月最高,最大值为413.32 m-1,8月最低,最小值为3.69 m-1,5月、10月期间也有TSM的局部峰值。这些TSM时空变异特征表明舟山海域悬浮物的分布和变化一方面受地形、海流、潮汐、季风、台风等自然环境因素的影响,另一方面也受如海运、港口建设、海岛旅游等人类活动的较大影响。     

硼玻璃中Sm3+离子的衰减及交叉弛豫

本文从Sm3+的衰减特性及能级跃迁性质两个方面研究Sm3+离子间的相互作用.一方面研究不同浓度Sm3+的衰减性质,利用Hirayama的理论确立相互作用的性质,另一方面研究相关能级的跃迁性质,从而证实由衰减所得结论的合理性.     

互感系数M12=M21的证明

从定义、磁能、磁矢势、磁偶极子、自由能5个方面出发分别证明了互感系数M12=M21,并对几种证明方法进行了分析对比,提出了自己的看法.     

Spiking patterns of a hippocampus model in electric fields

We develop a model of CA3 neurons embedded in a resistive array to mimic the effects of electric fields from a new perspective. Effects of DC and sinusoidal electric fields on firing patterns in CA3 neurons are investigated in this study. The firing patterns can be switched from no firing pattern to burst or from burst to fast periodic firing pattern with the increase of DC electric field intensity. It is also found that the firing activities are sensitive to the frequency and amplitude of the sinusoidal electric field. Different phase-locking states and chaotic firing regions are observed in the parameter space of frequency and amplitude. These findings are qualitatively in accordance with the results of relevant experimental and numerical studies. It is implied that the external or endogenous electric field can modulate the neural code in the brain. Furthermore, it is helpful to develop control strategies based on electric fields to control neural diseases such as epilepsy.     

液体表面张力系数测定实验的几点分析

用拉脱法测定水的表面张力系数实验中，用焦利氏秤测定（Ｆ—Ｗ）时，确定焦利氏秤标尺读数Ｌ１、Ｌ２的位置有两种方法。本文旨在详细分析这两种方法隐含的实验条件和对实验结果的影响．并进行比较，得出结论。     

一种基于新型查表方法的统一计算设备架构并行计算全息算法

为解决点源法计算全息速度较慢的问题,提出了一种新的查表算法,命名为三角函数查表法(T-LUT算法)。该算法是基于点源法基本的数学公式,通过一系列数学近似与恒等变换,生成了一种纯相位查找表,该查找表具有三维特性,并具有生成速度快、精度高、占用内存少等特点,克服了点源法重复计算相位的缺点。同时采用统一计算设备架构(CUDA)并行计算在图形处理器(GPU)上加以实现,并进行了三次并行优化。在算法的验证与对比实验中,采用单显卡(GPU显卡)实现T-LUT算法,在不牺牲全息图再现像质量的前提下,成功地将点源法计算全息的速度大幅度提升。实验发现在不同的物空间采样点数量的情况下,速度相对于点源法GPU运算提升30倍至近千倍不等。     

第三族金属氧化物离子对二氧化碳转化的红外光谱研究

本文利用红外光解离光谱研究了第三族金属氧化物离子对二氧化碳分子的转化机制. 研究表明,对于[ScO(CO₂)_n]⁺体系,在n≤4时,形成了溶剂化结构;在n=5时,形成了碳酸盐结构,实现了二氧化碳的转化. 对于[YO(CO₂)_n]⁺体系,需要4个二氧化碳分子就可以实现二氧化碳的转化. 而在[YO(CO₂)_n]⁺体系中,只发现了溶剂化结构,没有观察到碳酸盐结构. 理论计算表明,[YO(CO₂)_n]⁺体系拥有最小的溶剂化结构向碳酸盐结构转化能垒,[LaO(CO₂)_n]⁺体系拥有最大的溶剂化结构向碳酸盐结构转化能垒. 本文从分子水平揭示了不同金属氧化物离子对二氧化碳分子转化的影响规律.     

5,15-二（二茂铁基）-卟啉酞菁钇的结构和振动光谱的密度泛函理论研究

本文选用混杂的B3LYP密度泛函理论方法,在Lanl2dz水平上,对5,15-二（二茂铁基）-卟啉酞菁钇[Por(Fc)2]Y(Pc)的结构进行了优化,结果表明,5,15-二（二茂铁基）-卟啉酞菁钇呈现出三明治型构型,卟啉环与酞菁环呈穹型围绕在金属钇原子周围。对分子内主要的键长与键角进行了理论计算,通过频率计算,得到了5,15-二（二茂铁基）-卟啉酞菁钇[Por(Fc)2]Y(Pc)的红外光谱图,与实验所得的红外光谱图进行比对,将理论计算和实验所得的光谱主要振动峰进行了线性回归拟合,相关系数为0.992,标准偏差为16.96。理论计算与实验所获得的红外光谱图基本一致,说明本文所选用的DFT理论计算方法是可行的。通过GaussView软件对5,15-二（二茂铁基）-卟啉酞菁钇的红外谱带简正振动模式进行了指认。此外,分析讨论了5,15-二（二茂铁基）-卟啉酞菁钇[Por(Fc)2]Y(Pc)的分子静电势,确定了极大值与极小值的位置。对于研究5,15-二（二茂铁基）-卟啉酞菁钇分子的性质,提供了相应的理论基础。     

Efficient and stable wireless power transfer based on the non-Hermitian physics

As one of the most attractive non-radiative power transfer mechanisms without cables,efficient magnetic resonance wireless power transfer(WPT)in the near field has been extensively developed in recent years,and promoted a variety of practical applications,such as mobile phones,medical implant devices and electric vehicles.However,the physical mechanism behind some key limitations of the resonance WPT,such as frequency splitting and size-dependent efficiency,is not very clear under the widely used circuit model.Here,we review the recently developed efficient and stable resonance WPT based on non-Hermitian physics,which starts from a completely different avenue(utilizing loss and gain)to introduce novel functionalities to the resonance WPT.From the perspective of non-Hermitian photonics,the coherent and incoherent effects compete and coexist in the WPT system,and the weak stable of energy transfer mainly comes from the broken phase associated with the phase transition of parity-time symmetry.Based on this basic physical framework,some optimization schemes are proposed,including using nonlinear effect,using bound states in the continuum,or resorting to the system with high-order parity-time symmetry.Moreover,the combination of non-Hermitian physics and topological photonics in multi-coil system also provides a versatile platform for long-range robust WPT with topological protection.Therefore,the non-Hermitian physics can not only exactly predict the main results of current WPT systems,but also provide new ways to solve the difficulties of previous designs.     

Identify real gravitational wave events in the LIGO-Virgo catalog GWTC-1 and GWTC-2 with convolutional neural network

In recent years, machine learning models have been introduced into the field of gravitational wave (GW) data processing. In this paper, we apply the convolutional neural network (CNN) to LIGO O1, O2, O3a data analysis to search the released 41 GW events which are emitted from binary black hole (BBH) mergers (here we exclude the events from binary neutron star (BNS) mergers, and the events that are not detected simultaneously by Hanford (H) and Livingston (L) detectors), and use time sliding method to reduce the false alarm rate (FAR). According to the results, the 41 confirmed GW events of BBH mergers can be classified successfully by our CNN model. Furthermore, through restricting the number of consecutive prewarning from sequential samples intercepted continuously in LIGO O2 real time-series and vetoing the coincidences of noise from H and L, the FAR is limited to be less than once in 2 months. It is helpful to promote LIGO real time data processing.