Assessment of Urban Air Pollution and Spatial Spillover Effects in China: Cases of 113 Key Environmental Protection Cities

With rapid urbanization and energy consumption, environmental pollution and degradation have become increasingly serious problems in China. At the beginning of 2013, China implemented new ambient air quality standards (GB 3095-2012) in which the concentration of six pollutants including PM_2.5, ozone, carbon monoxide, PM₁₀, sulfur dioxide and nitrogen dioxide were monitored. This study gathered annual air pollutant concentration data for the six pollutants in 113 key environmental protection cites throughout China in 2014 and 2015 to explain spatial patterns of urban air pollution. Based on the Kernel density estimation method, spatial hotspots of air pollution were illustrated through which spatial cluster of each pollutants could be plotted. By employing an entropy evaluation system, urban air quality was assessed in terms of the six atmospheric pollutants. We conclude that, in general, CO and SO₂ were two important pollutants in most Chinese cities, but this varied greatly among cities. The assessment results indicate that cities with the worst air quality were mainly located in northern and central provinces, dominantly in the Beijing-Tianjin-Hebei metropolitan area. Regression modeling showed that a combination of meteorological factors and human-related determinants, to say specifically, industrialization and urbanization factors, greatly influenced urban air quality variation in China. Results from spatial lag regression modeling confirmed that air pollution existed obvious spatial spillover effects among key cities. The spatial interdependence effects of urban air quality means that Chinese municipal governments should strengthen regional cooperation and deepen bilateral collaboration in terms of air regulation and pollution prevention.     

Efficient Bayesian sensor placement algorithm for structural identification: a general approach for multi‐type sensory systems

In this paper, a Bayesian sequential sensor placement algorithm, based on the robust information entropy, is proposed for multi‐type of sensors. The presented methodology has two salient features. It is a holistic approach such that the overall performance of various types of sensors at different locations is assessed. Therefore, it provides a rational and effective strategy to design the sensor configuration, which optimizes the use of various available resources. This sequential algorithm is very efficient due to its Bayesian nature, in which prior distribution can be incorporated. Therefore, it avoids the possible unidentifiability problem encountered in a sequential process, which starts with small number of sensors. The proposed algorithm is demonstrated using a shear building and a lattice tower with consideration of up to four types of sensors. Copyright © 2014 John Wiley & Sons, Ltd.     

首都圈数字电磁波变化特征

选取首都圈地区红山、昌黎、怀来、昌平流村、密云牛栏山等11个地震台的数字电磁波资料,利用最大熵谱法,对其分钟值和时值资料进行谱成分分析,发现数字电磁波日变化12 h半日波和24 h全日波的成分较强。通过环境调研和对比分析,总结数字电磁波的常见干扰源为地电阻率干扰和地铁干扰等,干扰形态分别为地电阻率供电时段5 min左右的远超数字电磁波本底的扰动和地铁运行时段的正脉冲变化。     

未打穿散体材料桩复合地基固结简化解研究

利用平均固结度普遍解,将未打穿散体材料桩复合地基转化为等效双层地基,推导出未打穿散体材料桩复合地基固结简化解,给出其平均固结度计算简化公式。根据简化解、现有解和有限单元法编制程序,绘制考虑贯入比、桩体渗透系数、土体扰动区渗透系数和土体扰动区影响因子等因素对固结的影响曲线图,分析了各因素对未打穿散体材料桩复合地基固结性状的影响,并对3种计算方法所求出的平均固结度进行了比较研究,进而探讨了简化解的适用性。研究结果表明,无论是在单面排水还是在双面排水条件下,简化解求出的平均固结度总体上是介于现有解和有限单元法二者之间,尤其在固结过程的“中后期”（即固结度≥50%时）。从实用角度来看,简化解的计算结果具有足够精度,且简便、实用;在各种影响因素中,散体材料桩长度和桩体渗透系数对固结过程的影响最大。     

辽宁沿海地区人海经济系统脆弱性评价

在人海关系地域系统的基础上提出了人海经济系统的概念,在此基础上对辽宁沿海地区人海经济系统进行研究。采用熵值系数法进行权重赋值,建立脆弱性与敏感性、恢复性函数关系,并对其进行评价。结果表明：① 从脆弱性结果分析来看,1996~2009年辽宁沿海地区人海经济系统脆弱性逐年降低,并从极强脆弱型发展为弱脆弱型;② 1996~2009年敏感性指数呈现多个“倒U”型连续波动;③ 1996~2009年,恢复性指数呈现逐年增长的趋势。海洋产业增加值逐年增加,海洋油气产业发展出现波动性的变化,海洋捕捞产量得到了一定程度的控制,海洋产业结构进行了一定程度上的调整,为加快新兴产业发展起到了重要的作用。     

抛物Radon变换法近偏移距波场外推

本文给出了抛物Radon变换的基本原理,以及部分动校正后的CMP道集抛物线近似有效性的证明,基于带限正反最小平方抛物Radon变换的Levinson递推算法,对缺失的近偏移距地震波场进行叠前重建和外推.给出了抛物Radon变换法地震道重建外推的基本原理和叠前地震数据规则化的处理流程,另外对于Radon域均匀采样的情形,本文给出了均匀层状介质和Marmousi模型的近偏移距外推结果,计算结果验证了算法的稳定性和适用性.     

地震波衰减的物理机制研究

对近年来有关地震波衰减的物理机制进行评述和初步研究认为,对于地壳介质,造成地震波衰减的主要原因是地壳内存在大量裂隙,裂纹中饱含水或部分含水,地震波传播时引起裂隙中的流体运动,从而造成地震波的衰减,对于上地幔,扩散控制的位错阻尼机制可能是造成地幔地震波衰减的一个重要原因,而上地幔软流层部分熔融的存在也是造成地震波衰减不可忽视的原因．     

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Transverse free vibrations of continuous bridges with abutment restraint

This paper analyzes the dynamic behaviour of continuous bridges with transverse abutment restraint. These are a particular class of multi‐span bridges whose transverse motion is restrained at the abutments. The transverse dynamic behaviour of these partially‐restrained bridges is described by a model consisting of a two‐dimensional simply‐supported beam with intermediate visco‐elastic restraints. A minimal set of characteristic problem parameters that completely describe the dynamic response is initially identified and an analytical solution is developed for particular configurations. The influence of these characteristic parameters on the properties of the dynamic systems are analyzed by considering the undamped and the damped free vibrations separately. Successively, in order to cover more general and complex configurations of realistic bridges, an extension of the definition of the characteristic parameters is proposed. The results obtained considering selected case studies are finally presented. Copyright © 2011 John Wiley & Sons, Ltd.     

Towards multiple hazard resilient bridges: a methodology for modeling frequent and infrequent time-varying loads Part I, Comprehensive reliability and partial failure probabilities

The current AASHTO load and resistance factor design (LRFD) guidelines are formulated based on bridge reliability,which interprets traditional design safety factors into more rigorously deduced factors based on the theory of probability.This is a major advancement in bridge design specifications.However,LRFD is only calibrated for dead and live loads.In cases when extreme loads are significant,they need to be individually assessed.Combining regular loads with extreme loads has been a major challenge,mainly because the extreme loads are time variables and cannot be directly combined with time invariant loads to formulate the probability of structural failure.To overcome these difficulties,this paper suggests a methodology of comprehensive reliability,by introducing the concept of partial failure probability to separate the loads so that each individual load combination under a certain condition can be approximated as time invariant.Based on these conditions,the extreme loads (also referred to as multiple hazard or MH loads) can be broken down into single effects.In Part Ⅱ of this paper,a further breakdown of these conditional occurrence probabilities into pure conditions is discussed by using a live truck and earthquake loads on a bridge as an example.There are three major steps in establishing load factors from MH load distributions:(1) formulate the failure probabilities;(2) normalize various load distributions;and (3) establish design limit state equations.This paper describes the formulation of the failure probabilities of single and combined loads.