黏弹性双相介质参数反演的同伦方法

本文以介质的动态时域响应（位移、速度、加速度）作为反演的依据,对黏弹性双相介质的材料参数进行了反分析研究.根据附加条件,并考虑到由于测量误差和测量数据的不充分造成的反演问题的不适定性,将黏弹性双相介质的参数反演问题转化为非线性泛函的极小值问题,然后应用大范围收敛的同伦方法求出使泛函极小的根作为反问题的解.最后,以二维半空间黏弹性双相介质模型为例进行了数值反演分析,数值结果表明本文方法在参数的反演过程中目标函数稳定收敛,且具有一定的抗“噪声”干扰性能;与利用速度和加速度信息反演的结果相比,利用位移信息反演的结果具有较高的精度和抗噪声能力.     

瑞安市暴雨强度概率分布公式参数估计研究

该文根据瑞安市1965~1997年降水自记记录, 通过适当的概率模式对暴雨强度抽样频数分布进行拟合, 并由此编制反映暴雨强度、历时、重现期三者关系的i-t-T表.利用最优化法进行非线性超定方程组的求解, 从而实现对暴雨强度公式中参数的估计.     

无网格伽辽金法应用的参数选择及内部边界处理

无网格辽金法作为-种新的岩土工程数值计算方法, 该法其只需节点信息的无单元特性, 使其具有计算优势。本文结合固结EFGM刚度矩阵公式, 对不同的计算参数进行计算分析, 找出其影响规律。并采用跳跃函数处理内部边界条件, 计算结果表明, EFGM处理内部场函数不连续是准确的。     

太阳风引起的地磁扰动的参数辨识

作为太阳风引起的地磁扰动的系统辨识一文的姊妹篇,本文利用参数系统辨识方法,对太阳风-磁层耦合系统做了进一步的探讨.根据地磁扰动机制的理论研究,地磁扰动被认为是太阳风能量耦合进入磁层以及由此引起的一系列磁层内能量的输运和耗散的结果.在此基础上,对太阳风-磁层系统的非线性情况进行了讨论,建立了Dst指数与太阳风参量的非线性函数关系,给出了由此得到的地磁扰动计算结果.同时还利用1967年2月3—12日和1980年12月16—23日的两次事件,对已得到的函数关系进行了验证和讨论.验证结果不仅对模型的合理性、普适性做了很好的说明,也表明这种非线性函数关系作为定量的地磁预报模型,具有一定的可信度和实用性.     

前兆水位数据处理中的小波基及其参数选择方法研究

在分析不同小波基函数特征的基础上, 详细阐述了前兆水位数据处理中小波基及其参数的选择问题, 针对多个水位测项进行了实例分析和比较。 得到如下结论: ① 在检测前兆水位数据的突变点或不规则的突变部分, 选择db6、 bior2.6、 rbio2.6、 sym4和sym6小波基效果较好, 其中选用双正交小波bior2.6效果最佳; ② 在小波变换分解层数的选取方面: 第1～2层多适用于突变异常信号的获得, 第5～6层多适用于缓变异常信号的提取; 对于数据跳变异常显著的时间段, 第4～6层能较好地还原被高频信息掩盖的趋势变化过程。     

The identification of conceptual hydrological models for surface water acidification

Ambiguity in parameter identification represents a potentially serious limitation to the application of models of surface water acidification. Previous work has concentrated on manipulation of two of the three factors affecting model identifiability, namely model structure and estimator properties. A new technique is proposed which uses different modes of response within the data to improve parameter identification. Preliminary results, obtained using the Birkenes model of surface water acidification, appear to show promise. The technique is robust in recovering model parameters from synthetic data, with and without error, and in assimilating problems of structural error.     

高塔,高层建筑物振动与形变的超长摆综合观测

高大建筑物（如电视塔等）在外力作用和自身老化过程中出现的形变和振动频率特性变化的监测，是灾害预测和工程检验的重要内容。具有测站移动坐标系的超长摆观测系统，可以胜任这一超宽频（0～100HZ）振动和挠曲综合观测要求。文中导出超长摆观测方程xi＝－（R~2_iQ~2_s＋P~2_i－2R_iQ_sP_icosγ_s）~(1/2)Xmsin（ωt＋θ_i）并论证了在相应参数选择下，此系统具有足够的振幅放大系数（S_i≥0．8）和振动周期观测覆盖范围；对超低频一永久形变也具有真实的监测能力（S_i＝P_i）；具有监测频带宽、动态测量范围大、无漂移、抗干扰等优点。     

闽,赣地区小震群性质探讨

本文运用地震频度衰减系数h值,震群能量释放均匀度u值、震群归一化熵值K等地震活动参数的统计分析,研究了长汀震群以及闽赣地区其它小震群的殊征,认为长汀震群是一次无前兆性质的正常地震活动,而龙南震群是一次前兆性震群。     

Extraction and Analysis of Land Cover Heterogeneity over China

Spatial heterogeneity exists in land surface at every scale, and it is one of key factors to bring uncertainty to land parameter retrieval from remote-sensed data. This paper proposed a methodology to use the boundary length among different land cover types to characterize and quantify land surface heterogeneity based on high-resolution land cover images. Then the heterogeneity feature at 1 kilometer scale in China was extracted from “GlobalLand30” land cover datasets with the spatial resolution of 30 m. The mixed structure, degree of fragmentation and intra-heterogeneity of eight main vegetation biomes from MODIS land cover product over heterogeneous surface in china were analyzed. Mountain area and ecotone are more heterogeneous than other regions. Savanna biome (average boundary length is 7 426 meters) is the most heterogeneous zone followed by forest, grass/crop and shrub biome with average boundary length of 4 323, 3 160, 1 779 meters, respectively.     

Global SMOS Soil Moisture Retrievals from The Land Parameter Retrieval Model

A recent study by Van der Schalie et al. (2015) showed good results for applying the Land Parameter Retrieval Model (LPRM) on SMOS observations over southeast Australia and optimizing and evaluating the retrieved soil moisture (θ in m³ m⁻³) against ground measurements from the OzNet sites. In this study, the LPRM parameterization is globally updated for SMOS against modelled θ from MERRA-Land (MERRA) and ERA-Interim/Land (ERA) over the period of July 2010–December 2010, mainly focusing on two parameters: the single scattering albedo (ω) and the roughness (h). The Pearson's coefficient of correlation (r) increased rapidly when increasing the ω up to 0.12 and reached a steady state from thereon, no significant spatial pattern was found in the estimation of the single scattering albedo, which could be an artifact of the used parameter estimation procedure, and a single value of 0.12 was therefore used globally. The h was defined as a function of θ and varied slightly for the different angle bins, with maximum values of 1.1–1.3 as the angle changes from 42.5° to 57.5°.This resulted in an average r of 0.51 and 0.47, with a bias (m³ m⁻³) of −0.02 and −0.01 and an unbiased root mean square error (ubrmse in m³ m⁻³) of 0.054 and 0.056 against MERRA (ascending and descending). For ERA this resulted in an r of 0.61 and 0.53, with a bias of −0.03 and an ubrmse 0.055 and 0.059. The resulting parameterization was then used to run LPRM on SMOS observations over the period of July 2010–December 2013 and evaluated against SMOS Level 3 (L3) θ and available in situ measurements from the International Soil Moisture Network (ISMN). The comparison with L3 shows that the LPRM θ retrievals are very similar, with for the ascending set very high r of over 0.9 in large parts of the globe, with an overall average of 0.85 and the descending set performing less with an average of 0.74, mainly due to the negative r over the Sahara. The mean bias is 0.03, with an ubrmse of 0.038 and 0.044. In this study there are three major areas where the LPRM retrievals do not perform well: very dry sandy areas, densely forested areas and over high latitudes, which are all known limitations of LPRM. The comparison against in situ measurement from the ISMN give very similar results, with average r for LPRM of 0.65 and 0.61 (0.64 and 0.59 for L3) for the ascending and descending sets, while having a comparable bias and ubrmse over the different networks. This shows that LPRM used on SMOS observations produce θ retrievals with a similar quality as the SMOS L3 product.