Volterra series-based system analysis of random wave interaction with a horizontal cylinder

The response of a long flexible cylinder excited by random waves in a large model basin was investigated. The linear and non-linear physical mechanisms associated with the wave–cylinder interaction were analysed using system identification and modelling techniques. A third-order frequency domain Volterra model and its orthogonalized counterpart were used to analyse the relationships between wave elevations at various locations in the vicinity of the cylinder and cylinder acceleration data at various cylinder longitudinal locations. It was found that linear mechanisms dominate, particularly at the frequency band where the majority of the wave energy is located. At higher frequencies, the cubic component of the Volterra model is the main contributor to the total model coherence, i.e. the fraction of the measured output power that can be approximated by the model output, whereas the quadratic component's contribution to the total model coherence was in general quite small. This process of identification and quantification of the non-linear mechanisms of the unknown physical system can lead to the design of improved parametric models for the cylinder response, which should by design simulate non-linearities such as the ones identified by the Volterra model. The estimated linear and non-linear Volterra transfer functions were also used to predict the cylinder acceleration under excitation inputs not used in the estimation of the model transfer functions. The good match between predicted and measured output auto-power spectra suggests that the estimated transfer functions are indeed true models of the underlying physical mechanisms of the interaction. However, the latter can only be achieved if a minimum number of data segments, as determined by an error analysis involving modelling and prediction errors, is used in the estimation of the Volterra transfer functions.     

森林地上生物量的极化相干层析估计方法

基于微波的后向散射系数估计森林地上生物量(AGB)易受后向散射系数饱和的影响,而利用森林高度,根据生长方程估计AGB,却没有考虑和AGB密切相关的林分密度、树种组成、林层垂直分布等空间结构特征的作用,针对这些问题,提出一种基于极化相干层析(Polarization Coherence Tomography,PCT)技术的AGB估计方法。基于德国宇航局(DLR)机载SAR系统(ESAR)获取的特劳斯坦(Traunstein)试验区L-波段极化干涉SAR(PolInSAR)数据,通过对具有不同AGB水平的典型林分的相对反射率函数曲线的分析,定义了9个与AGB具有相关性的特征参数。然后基于20个林分的实测AGB数据,以林分尺度上这9个特征参数的平均值为自变量,以实测林分平均AGB为因变量,采用逐步回归分析法构建了AGB估测模型,并对该模型进行评价,对影响模型估计精度的因素进行分析,结果表明,由PCT提取的相对反射率函数特征参数对AGB很敏感,充分利用相对反射率函数信息可提高AGB估计精度。     

InSAR基线对干涉图的影响分析

基于InSAR技术的基本原理,在h=0处进行了泰勒级数展开,推导了干涉相位组成。根据干涉相位组成论证了基线对影像相干性、高度灵敏度、平地效应及干涉SAR系统距离分辨率等的影响,利用数据进行了仿真实验,指出了基线长度对干涉图的影响程度,对合理选择干涉像对具有指导意义。     

Aligning climate and sustainable development finance through an SDG lens. The role of development assistance in implementing the Paris Agreement

Climate change and development are strongly interconnected. An efficient use of financial resources would, thus require alignment between climate finance and development priorities, as set out in the context of both the Paris Agreement and the 2030 Agenda for Sustainable Development. In this paper, we investigate to what extent climate-related official development assistance (ODA) before and after the Paris Agreement adoption supports the implementation of the Sustainable Development Goals (SDGs). Moreover, we assess to what extent donors align this finance with recipient countries’ climate-related priorities as spelled out in their Nationally Determined Contributions (NDCs). First, we find that climate-relevant ODA contributes to multiple SDGs, above all SDG 7 (energy) and SDG 11 (cities). Second, we find that there is substantial alignment between donors’ and recipients’ SDG priorities, but that this alignment has not improved in recent years, since the conclusion of the Paris Agreement. Third, we find that albeit climate-finance continues to be allocated more to climate-change mitigation than to adaptation, the difference became smaller in recent years. This reduced the misalignment with recipient countries’ NDC climate activities, which focus more on adaptation than mitigation. Overall, we identify coherence, gaps and opportunities for further alignment of climate and development actions, and related finance. Such an alignment is essential to increase the likelihood of implementation of the two international agreements and to ensure that action is guided by recipient countries’ needs.     

基于极化相干层析技术的森林垂直剖面重建研究

极化相干层析技术作为极化干涉合成孔径雷达的一个重要应用方向,在林业遥感方面应用广泛。在分析极化相干层析技术原理的基础上,基于仿真数据从10 m,18 m和22 m三种森林高度以及Deciduous,Pine(2)和Hedge三种树型分别对极化相干层析技术构建森林垂直结构剖面的精度进行了验证,研究结果表明,该方法能够有效构建垂直结构剖面,森林高度和树型对估算结果影响较小,该方法对不同树型和不同高度均具有良好的适应性。     

基于极化相干层析算法反演森林垂直结构剖面研究

森林的高度和垂直结构剖面都是重要的森林空间结构信息,极化干涉SAR的出现使定量获取森林结构参数成为可能。在分析比较三阶段法、DEM差分法和相干幅度法估计森林高度的基础上,采用相干幅度算法提取的树高,通过勒让德多项式展开以及单基线极化干涉数据提取森林的垂直结构剖面。利用仿真SAR数据进行实验分析,研究表明,通过极化相干层析技术,能够获取准确的森林垂直结构函数。     

On the recent global mean sea level changes: Trend extraction and El Niño's impact

The spatial sampling offered by TOPEX and Jason series of satellite radar altimeters and its continuity during the last twenty years are major assets to provide an improved vision of the global mean sea level (GMSL). The objective of this paper is to examine the recent GMSL variations (1993–2012) and to investigate the correlation between the GMSL and ENSO (El Niño-southern oscillation) episodes. For this purpose, a mean sea level anomalies time series, obtained from TOPEX, Jason-1 and Jason-2 measurements, is used to determine the trend of GMSL changes by using a simplified form of an unobserved components model (namely UCM). Then, to investigate the impact of the ENSO phenomenon on the GMSL changes, we considered the sea surface temperature anomalies (SSTA) index over the Niño3 region (5N–5S 150W–90W). Cross wavelet transform and wavelet coherence analysis are performed to expose common power between the GMSL changes and the SSTA index and their relative phase in the time–frequency space. The results indicate that there are in the estimated GMSL's trend a number of fluctuations over short periods that are least partly related to the El Niño/La Niña episodes. Cross wavelet transform and wavelet coherence analysis indicate that a significant correlation between GMSL and ENSO occurred during 1997–1998, 2006–2007, 2009–2010 El Niño events and 2007–2008 and 2010–2011 La Niña ones. All these areas show in-phase relationship, suggesting that GMSL and SSTA index vary synchronously.     

基于SAR数据的森林生物量估测研究进展

森林生物量是地表碳循环研究的重要组成部分,对其进行准确估测对区域乃至全球的森林状况和气候环境问题有重要意义.合成孔径雷达(SAR)以其独特的成像机制、全天候全天时的成像特点以及对森林冠层的穿透能力,在森林资源调查和森林制图研究领域发挥着巨大的作用.该文首先总结了林业上传统的森林生物量估测方法和基于光学遥感和激光雷达(LiDAR)数据的森林生物量估测方法;然后重点阐述了利用SAR后向散射(不同极化方式)、干涉相干性及极化干涉等信息进行森林生物量反演的方法;最后总结了利用SAR数据进行森林生物量估测的发展趋势.     

基于Manhattan距离的相干体技术的应用

地震相干体技术可以有效地压制连续性,突出不连续性,比地震切片的地质解释更直观,能更细致地进行断层解释。基于Manhattan 距离的相干体技术,与传统的C1 相干算法进行比较,该技术不仅在断层识别能力方面要强于C1 相干算法,而且当利用两种算法获取断层信息的效果相当时,该技术的相关时窗长度要比C1 相干算法所用的相关时窗长度小,这恰能提高程序的运行速度,提高了地震相干体技术的运行效率。此外,该相干体技术也能近似计算出每道在纵横测线方向上的视时间倾角。     

基于加权一致性的蚁群算法在断层检测中的应用

突出地震数据振幅空间不连续性的断层增强属性体是断层自动解释的基础,而如何压制噪声、地层残余响应、角度不整合接触等伪断层的影响是断层自动检测的关键问题之一.在指纹图像边缘检测处理中,一致性是对指示局部方向场信息各向异性强度的一个度量,本文将其作为一种新的断层增强属性引入到地震数据处理中.为了更有效地压制噪声,本文通过对一致性进行加权处理,再结合蚁群算法,提出了新的断层自动检测方法——基于加权一致性的蚁群算法.理论地震模型和实际地震数据的处理结果表明,对于相同的断层检测过程,对比常规的基于方差属性的蚁群算法和基于C3相干属性的蚁群算法,本文所提方法不仅更有效地压制了噪声和地层残余响应产生的伪断层信息,而且更完整地展现了断层的延伸长度,同时具有更高的稳定性和计算效率.