基于EMD方法的地心运动时间序列分析     

乔灵娜  赵春梅  马天明 《测绘通报》2019,(2):6-11

针对时间序列混有的高频信息会影响地心运动规律分析的问题，采用网平移法对IGS提供的GNSS周解进行解算，得到2007-2017年地心运动时间序列，对其进行分解重构，剔除高频项，并利用重构时序对地心运动规律作进一步分析探讨。结果表明：本文解算的地心运动在T_x、T_y和T_z方向的精度均为毫米级。EMD方法重构的时序保留了原序列的基本信息，且抑制了高频项的影响，提高了周期贡献率，3个方向的贡献率分别提高了12.3%、16.7%及6.3%。通过分析重构后的时序发现，周年项振幅为各周期对应振幅的最大值，分别为2.32、1.89和2.07 mm；T_y和T_z方向长期变化趋势较T_x更为明显，分别为0.13和-0.27 mm/a；半年项较小，且在T_x和T_y方向上具有时变性。此外，还发现了一些其他较小的年际变化。  相似文献   

基于CMIP6模式优化集合平均预估21世纪全球陆地生态系统总初级生产力变化   总被引：1，自引：0，他引：1  

黄禄丰  朱再春  黄萌田  赵茜  马伟蕊  曾辉 《气候变化研究进展》2021,17(5):514-524

利用国际耦合模式比较计划第六阶段(CMIP6)中18个地球系统模式总初级生产力(GPP)模拟数据,基于传统的多模式集合平均(MME)和可靠集合平均方法(REA),在4个未来情景(SSP1-2.6,SSP2-4.5,SSP3-7.0和SSP5-8.5)下预估了21世纪全球陆地生态系统GPP的变化量,并分析了GPP变化的驱动因子。研究结果表明：在4个未来情景下,基于REA方法预估的全球陆地生态系统年GPP在未来时期(2068—2100年)比历史时期(1982—2014年)分别增长了(14.85±3.32)、(28.43±4.97)、(37.66±7.61)和(45.89±9.21)Pg C,其增量大小和不确定性都明显低于MME方法。在4个情景下,大气CO₂浓度增长对GPP变化的贡献最大,基于REA方法计算的贡献占比分别为140%、137%、115%和75%;除SSP5-8.5(24%)外,其他情景下升温均导致全球陆地生态系统GPP降低(-42%、-37%、-16%),部分抵消了CO₂施肥效应的正面贡献。温度的影响存在纬度差异：升温在低纬度地区对GPP有负向贡献,在中高纬度地区为正向贡献。降水和辐射变化对GPP变化的贡献相对较小。  相似文献   

海洋环境因子对澳洲鲐亲体补充量关系的影响——基于贝叶斯模型平均法的研究   总被引：1，自引：1，他引：0  

张畅  陈新军 《海洋学报》2019,41(2):99-106

澳洲鲐（Scomber australasicus）是西北太平洋重要的中上层经济鱼类，生命周期相对较短，资源量受补充量影响明显，了解澳洲鲐太平洋群系补充量状况对掌握其资源量及确保其可持续利用具有重要的意义。本文利用产卵场1（30°~32°N，130°~132°E）海表面温度（sea surface temperature，SST1）、产卵场2（34°~35°N，138°~141°E）海表面温度（SST2）、索饵场（35°~45°N，140°~160°E）海表面温度（SST3）、潮位差（tidal range，TR）、太平洋年代际涛动（Pacific decadal oscillation，PDO）和亲体量（spawning stock biomass，SSB）6个影响因子任意组合与补充量构建多个模型，运用贝叶斯模型平均法（Bayesian model averaging，BMA）分析各个环境因子对资源补充量的解释能力，并预测其补充量的变化。结果表明，SSB对补充量具有最长期且稳定的解释能力，其次是SST3，PDO、TR、SST2、SST1也对补充量模型具有一定的解释能力。SST3是环境因子中影响最大的因子，可能是由于补充群体在索饵场内生活时间较长，索饵场温度对仔鱼或鱼卵的生长存活有较大的影响。研究认为，基于BMA的组合预报综合考虑了各个模型的优势，优于单一模型，可用于澳洲鲐资源补充量的预测。  相似文献   

The effect of land cover change on duration and severity of high and low flows   总被引：1，自引：0，他引：1       下载免费PDF全文

Kuk‐Hyun Ahn  Venkatesh Merwade 《水文研究》2017,31(1):133-149

Land cover has been increasingly recognized as an important factor affecting hydrologic processes at the basin and regional level. Therefore, improved understanding of how land cover change affects hydrologic systems is needed for better management of water resources. The objective of this study is to investigate the effects of land cover change on the duration and severity of high and low flows by using the Soil Water Assessment Tool model, Bayesian model averaging and copulas. Two basins dominated by different land cover in the Ohio River basin are used as study area in this study. Two historic land covers from the 1950s and 1990s are considered as input to the Soil Water Assessment Tool model, thereby investigating the hydrologic high and low flow response of different land cover conditions of these two basins. The relationships between the duration and severity of both low and high flow are defined by applying the copula method; changes in the frequency of the duration and severity are investigated. The results show that land cover changes affect both the duration and severity of both high and low flows. An increase in forest area leads to a decrease in the duration and severity during both high and low flows, but its impact is highest during extreme flows. The results also show that the land cover changes have had significant influences on changes in the joint return periods of duration and severity of low and high flows. While this study sheds light on the role of land cover change on severity and duration of high and low flow conditions, more studies using various land cover conditions and climate types are required in order to draw more reliable conclusions in the future. Copyright © 2016 John Wiley & Sons, Ltd.  相似文献   

On the criteria for the initiation of motion in tidal inlets,deterministic and stochastic approaches     

Morteza Kolahdoozan  Hanifeh Imanian  Roger A. Falconer 《Coastal Engineering》2011

Details are given herein of the refinement and application of a three-dimensional layer integrated numerical model to predict morphological changes in tidal basins. The solution of governing differential equations, which consist of the conservation of mass and momentum for the hydrodynamics, the transport equation for the suspended sediment fluxes and the sediment mass conservation equation for the bed level changes are carried out by the use of Alternating Direction Implicit (ADI) Finite Difference Method (FDM). The model includes different criteria for the initiation of motion namely Shields (1936, Application of Similarity Principles and Turbulence Research to Bed load Movement, Hydrodynamics Laboratory, California Institute of Technology, Pub. No. 167), Kolahdoozan (1999, Numerical Modelling of Geomorphological Processes in Estuarine Waters, PhD Thesis, Department of Civil and Environmental Engineering, University of Bradford, Bradford, UK, 288) and Zanke (2003, On the Influence of Turbulence on the Initiation of Sediment Motion, International Journal of Sediment Research, 18(1), 17–31), to compare different aspects of flow conditions. As the flow is highly turbulent with the random nature of its components, many researchers have tried to express sediment transport processes by using stochastic approaches. In the current study both deterministic and stochastic methods are included in the numerical model to evaluate their accuracy and efficiency. To validate the numerical model results, laboratory measurements are used, with these being obtained from an earlier experimental program undertaken by the authors. Results of a short term bed level changes in a laboratory model harbor are included for the model verification purposes. Comparisons are undertaken using different criteria for the initiation of motion, with the results highlighting that the unsteadiness in the flow parameters included in the numerical model has a major effect on the bed level changes inside the harbor, in compare with the turbulence structure of the flow. The model is then applied to a real case study of the Humber Estuary, located in the UK, with comparisons being undertaken for different criteria for the initiation of motion, using both deterministic and stochastic approaches for the long term bed level predictions.  相似文献   

清末耕地空间分布格局重建方法比较   总被引：4，自引：2，他引：2  

姜蓝齐  张丽娟  臧淑英  张学珍 《地理学报》2015,(4)

揭示历史时期土地利用/覆盖变化是认识人类活动对气候和环境影响的基础。本文在耕地面积、人口数量、土地利用及森林分布等多源数据基础上,分别以近代耕地空间分布格局和历史时期耕地潜在分布区为边界条件,通过构建耕地垦殖倾向指数模型分配耕地面积,在1 km×1 km象元尺度上重建了清末(1908年)松嫩平原耕地空间格局,并对重建结果进行分析比较。结果表明:1两种方法重建的耕地空间分布范围格局基本一致,耕地空间定位吻合率约为68%。清末(1908年)耕地集中分布在松嫩平原东部和南部地区;2以历史时期耕地潜在分布为边界条件的重建结果,较以近代耕地空间分布格局为限制范围的重建结果更准确,更符合历史事实。  相似文献   

全球风险和脆弱性评估方法及其尺度转换的局限性   总被引：1，自引：0，他引：1  

方一平  秦大河  丁永建 《干旱区地理》2009,32(3)

近年来,国际上采用一系列指标,从全球的、区域的视角测度风险和脆弱性的工作不断增多.从全球尺度看,风险和脆弱性评估方法主要包括:UNDP的灾害风险指数、哥伦比亚大学的热点项目,以及哥伦比亚国家大学环境研究所开发的美洲项目;从区域尺度看,以GTZ和印度尼西亚社区合作伙伴共同开发的基于社区的风险指数最为典型.通过国际主要文献的综述,介绍了几种主要评估方法的目标、框架、测算指标和基本要求,分析了这些评估方法在应用中的局限性,指出了不同方法在空间尺度降次、升级转换过程中的不足和难点.  相似文献   

Probabilistic Precipitation Forecasting Based on Ensemble Output Using Generalized Additive Models and Bayesian Model Averaging   总被引：2，自引：0，他引：2       下载免费PDF全文

YANG Chi  YAN Zhongwei  SHAO Yuehong 《Acta Meteorologica Sinica》2012,26(1):1-12

A probabilistic precipitation forecasting model using generalized additive models (GAMs) and Bayesian model averaging (BMA) was proposed in this paper.GAMs were used to fit the spatial-temporal precipi...  相似文献   

Nonstationary stochastic response of structural systems equipped with nonlinear viscous dampers under seismic excitation   总被引：1，自引：0，他引：1       下载免费PDF全文

Enrico Tubaldi  Ioannis A. Kougioumtzoglou 《地震工程与结构动力学》2015,44(1):121-138

Nonlinear viscous dampers are supplemental devices widely used for enhancing the performance of structural systems exposed to seismic hazard. A rigorous evaluation of the effect of these damping devices on the seismic performance of a structural system should be based on a probabilistic approach and take into account the evolutionary characteristics of the earthquake input and of the corresponding system response. In this paper, an approximate analytical technique is proposed for studying the nonstationary stochastic response characteristics of hysteretic single degree of freedom systems equipped with viscous dampers subjected to a fully nonstationary random process representing the seismic input. In this regard, a stochastic averaging/linearization technique is utilized to cast the original nonlinear stochastic differential equation of motion into a simple first‐order nonlinear ordinary differential equation for the nonstationary system response variance. In comparison with standard linearization schemes, the herein proposed technique has the significant advantage that it allows to handle realistic seismic excitations with time‐varying frequency content. Further, it allows deriving a formula for determining the nonlinear system response evolutionary power spectrum. By this way, ‘moving resonance’ effects, related to both the evolutionary seismic excitation and the nonlinear system behavior, can be observed and quantified. Several applications involving various system and input properties are included. Furthermore, various response parameters of interest for the seismic performance assessment are considered as well. Comparisons with pertinent Monte Carlo simulations demonstrate the reliability of the proposed technique. Copyright © 2014 John Wiley & Sons, Ltd.  相似文献   

Full probabilistic design of slopes in spatially variable soils using simplified reliability analysis method     

Te Xiao  Zi-Jun Cao  Xiao-Song Tang 《Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards》2017,11(1):146-159

ABSTRACT

A simplified reliability analysis method is proposed for efficient full probabilistic design of soil slopes in spatially variable soils. The soil slope is viewed as a series system comprised of numerous potential slip surfaces and the spatial variability of soil properties is modelled by the spatial averaging technique along potential slip surfaces. The proposed approach not only provides sufficiently accurate reliability estimates of slope stability, but also significantly improves the computational efficiency of soil slope design in comparison with simulation-based full probabilistic design. It is found that the spatial variability has considerable effects on the optimal slope design.  相似文献