Exploration of remotely sensed forest structure and ultrasonic range sensor metrics to improve empirical snow models

Current methods to estimate snow accumulation and ablation at the plot and watershed levels can be improved as new technologies offer alternative approaches to more accurately monitor snow dynamics and their drivers. Here we conduct a meta‐analysis of snow and vegetation data collected in British Columbia to explore the relationships between a wide range of forest structure variables – obtained from Light Detection and Ranging (LiDAR), hemispherical photography (HP) and Landsat Thematic Mapper – and several indicators of snow accumulation and ablation estimated from manual snow surveys and ultrasonic range sensors. By merging and standardizing all the ground plot information available in the study area, we demonstrate how LiDAR‐derived forest cover above 0.5 m was the variable explaining the highest percentage of absolute peak snow water equivalent (SWE) (33%), while HP‐derived leaf area index and gap fraction (45° angle of view) were the best potential predictors of snow ablation rate (explaining 57% of variance). This study reveals how continuous SWE data from ultrasonic sensors are fundamental to obtain statistically significant relationships between snow indicators and structural metrics by increasing mean r² by 20% when compared to manual surveys. The relationships between vegetation and spectral indices from Landsat and snow indicators, not explored before, were almost as high as those shown by LiDAR or HP and thus point towards a new line of research with important practical implications. While the use of different data sources from two snow seasons prevented us from developing models with predictive capacity, a large sample size helped to identify outliers that weakened the relationships and suggest improvements for future research. A concise overview of the limitations of this and previous studies is provided along with propositions to consistently improve experimental designs to take advantage of remote sensing technologies, and better represent spatial and temporal variations of snow. Copyright © 2013 John Wiley & Sons, Ltd.     

居里等温面深度的探测方法

地壳居里等温面的研究对确定深部磁体结构和了解深部热状态及结构有重要意义.本文对探测居里等温面深度的方法进行了科学地总结,分类和评估,并主要介绍了各种方法的基本原理.较直接的探测居里等温面的方法是根据大地热流值,地温\|深度关系或岩石矿物实验来确定,但是这种方法在实际中并不常用.最常用的方法是应用航磁和卫星磁数据.根据所研究的目标的不同,磁法又可以被分为两大类：单体磁异常法和组合磁异常法.这两大类下又可以有各种不同的应用技术,其中功率谱分析方法最为流行.虽然没有任何一种方法是完美的,针对组合磁异常的统计功率谱分析方法被认为是较成熟的一项技术,并得到了很多的应用及讨论.组合磁异常的功率谱分析方法的理论基础是Spector\|Grant 统计模型,这个统计模型很适用于对区域磁异常组合的分析.为了提高分辨率,无论单体磁异常法或组合磁异常法都需要考虑很大的一片研究区域,这样的结果会降低所获得的居里等温面的横向分辨率,由此所获得的居里等温面深度通常只是某一区域平均居里点深度的一级近似.一项比较特别的技术是Mayhew的最初为分析卫星磁数据而建立起来的等层模型方法.这一方法的基本原理是,根据一些校准点,将一等厚度层上所观测到的不同的磁场强度转换为等磁场强度的深度差异.这一技术与功率谱分析方法的一个重要差别在于它不需要对磁体顶部和底部所引起的功率谱进行区分,而这种区分是功率谱分析方法中所必需的.由于对居里等温面深度的探测是一种反演技术并包含了反演中的非唯一性和数学上的不稳定性,在各种方法的应用中应采取谨慎的态度.近年来,自相似和分形理论的应用为这一领域的研究提供了很多崭新的研究机会和科学思想.自相似和分形模型是对Spector\|Grant统计模型的完善和发展,因为自相似模型考虑了更真实的磁场强度差异的分形分布.另外,这一新理论也揭示了以前很多种方法中的局限性.     

细颗粒石英光释光测年:简单多片再生法

文中报道了细颗粒石英光释光测年中测量等效剂量的一种可靠技术——简单多片再生法。该技术的核心是引入单片再生法中试验剂量校正感量变化的功能,即在天然和再生多测片光释光信号测量后,再对各测片辐照以试验剂量,利用试验剂量的光释光信号响应对各测片归一化,同时校正可能发生的感量变化。从方法学上,这一技术具有以下优点1)试验剂量可以校正各测片的感量变化;2)对各测片归一化,克服了实验数据分散度的问题;3)通过对比简单多片再生法与单片再生法在测年中的表现,证实简单多片再生法可以克服单片再生法中可能发生的光释光信号的积累问题。最后,文中通过测定参考年龄样品,即洛川剖面末次冰期马兰黄土(L1)的开始堆积年龄,验证了简单多片再生法的可靠性,即在提高测量准确度和精度的同时,更节约时间     

Time-domain identification of dynamic properties of layered soil by using extended Kalman filter and recorded seismic data

A novel time-domain identification technique is developed for the seismic response analysis of soil-structure interaction. A two-degree-of-freedom (2DOF) model with eight lumped parameters is adopted to model the frequency-dependent behavior of soils. For layered soil, the equivalent eight parameters of the 2DOF model arc identified by the extended Kalman filter (EKF) method using recorded seismic data. The polynomial approximations for derivation of state estimators are applied in the EKF procedure. A realistic identification example is given for the layered-soil of a building site in Anchorage, Alaska in the United States. Results of the example demonstrate the feasibility and practicality of the proposed identification technique. The 2DOF soil model and the identification technique can be used for nonlinear response analysis of soil-structure interaction in the time-domain for layered of complex soil conditions. The identified parameters can be stored in a database for use in other similar soil conditions. If a universal database that covers information related to most soil conditions is developed in the future, engineers could conveniently perform time history analyses of soil-structural interaction.     

工程爆破场地地震动强度预测研究

本文介绍了爆破地震动强度的预测方法和该领域研究的国内外现状,以岭澳核电站场地为例,利用该场地土石方工程爆破时实监测获得的大量实验数据进行统计回归分析,提出了一种估计(折算)爆破药量的方法,给出预测爆破地震动加速度、速度、的经验公式。按此地震动衰减规律并结合时实监测数据指导爆破,确保大亚湾核电站的安全运行。这种折算爆破药量的方法和预测爆破地震动强度的经验公式对指导工程爆破具有重要参考价值。     

Estimating the seismic displacement of friction pendulum isolators based on non‐linear response history analysis

A procedure for developing equations that estimate the isolator displacement due to strong ground motion is applied to buildings isolated with the friction pendulum system. The resulting design equations, based on rigorous non‐linear analysis, offer an alternative to the iterative equivalent‐linear methods used by current U.S. building codes. The governing equations of the system are reduced to a form such that the median normalized displacement of the system due to an ensemble of ground motions is found to depend on only the isolation period—a function of the curvature of the isolator—and the friction force at incipient slip normalized by peak ground velocity. The normalization is effective in minimizing the dispersion of the normalized displacement for an ensemble of ground motions, implying that the median normalized displacement is a reliable estimate of response. The design equations reflect the significant (20 to 38%) increase in displacement when the excitation includes two lateral components of ground motion instead of just one component. Equivalent‐linear methods are shown to underestimate by up to 30% the exact median displacement determined by non‐linear response history analysis for one component of ground motion, and building codes include at most a 4.4% increase for a second component. Copyright © 2003 John Wiley & Sons, Ltd.     

Approximate modal decomposition of inelastic dynamic responses of wall buildings

Two approximate methods for decomposing complicated inelastic dynamic responses of wall buildings into simple modal responses are presented. Both methods are based on the equivalent linear concept, where a non‐linear structure is represented by a set of equivalent linear models. One linear model is used for representing only one vibration mode of the non‐linear structure, and its equivalent linear parameters are identified from the inelastic response time histories by using a numerical optimizer. Several theoretical relations essential for the modal decomposition are derived under the framework of complex modal analysis. Various numerical examinations have been carried out to check the validity of the proposed modal decomposition methods, and the results are quite satisfactory in all cases. Fluctuating bending moment and shear at any location along the wall height contributed by each individual vibration mode can be obtained. Modal contributions to shear and flexural strength demands, as well as the corresponding modal properties, under various seismic loading conditions can also be identified and examined in detail. Furthermore, the effects of higher vibration modes on seismic demands of wall buildings are investigated by using the modal decomposition methods. Several new insights into the complicated inelastic dynamics of multi‐story wall buildings are presented. Copyright © 2004 John Wiley & Sons, Ltd.     

爆炸当量估算的初步研究

爆炸当量是评估爆炸能量的重要参数,快速估算爆炸当量对于有效开展应急救援工作至关重要。收集攀枝花铁矿爆破、宁夏煤矿爆破、河南汝阳钼矿爆破等矿山爆破资料,得到爆破的地方性震级M_L与爆炸当量Y之间的经验关系,并据此估算2019年7月19日河南省三门峡市气化厂爆炸事故的爆炸当量为16 t左右。     

Nonlinear analysis of masonry structures using fiber-section line elements

For seismic analysis of unreinforced masonry (URM) buildings characterized by a box-like behavior, a widely accepted model is based on the equivalent frame idealization of walls. The equivalent frame model uses 1D elements to represent the vertical piers and horizontal spandrels which are connected by rigid nodes. The mechanical characterization of the elements is one of the crucial aspects to predict reasonably the building seismic behavior. Through the comparison with pseudo-static and dynamic experimental tests performed on two-story full-scale buildings, this paper validates the frame modeling in the OpenSees framework, which includes a fiber-section force-based beam element for the axial-flexural behavior, coupled with a cyclic shear-deformation phenomenological law.     

A nonlinear macroelement model for the seismic analysis of masonry buildings

The macroelement technique for modelling the nonlinear response of masonry panels is particularly efficient and suitable for the analysis of the seismic behaviour of complex walls and buildings. The paper presents a macroelement model specifically developed for simulating the cyclic in‐plane response of masonry walls, with possible applications in nonlinear static and dynamic analysis of masonry structures. The model, starting from a previously developed macroelement model, has been refined in the representation of flexural–rocking and shear damage modes, and it is capable of fairly simulating the experimental response of cyclic tests performed on masonry piers. By means of two internal degrees of freedom, the two‐node macroelement permits to represent the coupling of axial and flexural response as well as the interaction of shear and flexural damage. Copyright © 2013 John Wiley & Sons, Ltd.