深水悬臂桥墩动力特性及地震响应分析

利用ADINA中的势流体单元对一已建成的深水高墩建模,桥梁上部结构对桥墩的影响以墩顶集中质量的形式体现,分别对不同水深条件下桥墩-水体系的动力特性和地震动响应进行了系统的求解;为了检验Morison方程在深水桥墩动力分析中的有效性,将基于忽略速度力项的Morison方程的计算结果与基于势流体的结果进行了比较.研究结果表...     

基于稳定氢同位素的太原市大气单环芳烃来源

采集太原市城北和城南区域环境空气和5类污染源挥发性有机物样品,测定样品中典型单环芳烃稳定氢同位素（δD）组成,基于同位素质量平衡原理计算单环芳烃从源到环境空气受体的δD初始混合值,探讨单环芳烃来源.结果表明,柴油挥发源、溶剂挥发源、汽油挥发源（97^#）、汽油挥发源（95^#）、机动车尾气（97^#）、机动车尾气（95^#）和民用燃煤源中单环芳烃δD范围依次为：（-138.7‰~-115.5‰）、（-147.0‰~-121.0‰）、（-150.8‰~-117.6‰）、（-131.8‰~-113.8‰）、（-171.2‰~-120.0‰）、（-138.9‰~-102.7‰）和（-168.3‰~-142.3‰）,民用燃煤源中单环芳烃δD显著贫重氢同位素（D）组成,机动车尾气源与汽油挥发源中苯的δD相比显著贫D,可用于探索污染物转化过程;城北和城南环境空气中δD范围为（-131.7‰~-115.1‰）和（-131.9‰~-74.9‰）,δD初始混合值为-138.4‰和-173.9‰,体现了其来源差异.     

居民电子废物回收行为影响因素的实证研究

基于对350名城市居民的问卷调查结果,运用验证性因子分析方法对居民的电子废物回收行为、行为意向及其影响因素进行了实证研究.结果表明,基于计划行为理论所建立的结构方程模型可以较为有效地诠释有关研究假设,环境知识、舆论宣传和垃圾分类等情境因素对电子废物回收行为具有调节作用.知觉行为控制对于行为意向转化为行为具有非常重要地促进作用,而便利状况则是影响知觉行为控制的重要因素.     

Sorption of chlorpyrifos and fonofos on four soils and turfgrass thatch using membrane filters

Abstract

Chemical transport in soil is a major factor influencing soil and water contamination. Four soils and turfgrass thatch, representing a wide range of organic carbon OC content were studied to determine sorption K_d and K_f parameters for the insecticides chlorpyrifos and fonofos. The batch equilibrium method was used. The concentration of insecticide was measured in the solution as well as in the solid phase to determine the most accurate sorption data. Four soils and thatch were equilibrated for 24 h at 22 ± 1^OC with aqueous insecticide solutions. Four concentrations of the insecticides, each <50% of their respective water solubilities, were selected for the experiments. After extraction with an organic solvent, the concentration of insecticides in the aqueous solution was determined by gas liquid chromatography using electron capture detection for chlorpyrifos, and nitrogen/phosphorus detection for fonofos. Data obtained were fitted to the log and simple linear form of the Freundlich equation. Mass balance Freundlich isotherm exponents n ranged between 0.82 and 0.93 for chlorpyrifos. 0.82 and 1.21 for fonofos, with r² ≥ 0.97. K_oc (percent of organic carbon %OC normalized Sorption coefficient) values were calculated by using experimentally developed K_d and K_f coefficients in relation to OC levels from 0.29 to 34.85%. K_d and K_f coefficients of both insecticides were positively correlated with OC (r² ≥ 0.96). organic matter OM (r² ≥ 0.96), and cation exchange capacity CEC (r² ≥ 0.90).     

全国土壤侵蚀量估算及其在吸附态氮磷流失量匡算中的应用

应用土壤流失方程(USLE),根据我国土壤水力侵蚀分类分级标准,建立了大尺度区域土壤侵蚀量的估算模型;基于GIS技术平台,利用土壤普查数据,构建了全国表层土壤氮磷含量数据库,完成了2000年全国境内水土流失影响下吸附态氮磷的流失量估算.经数据合理性分析验证后得出以下结论:(1)全国因水土流失引发的吸附态氮素和磷素的流失总量分别达到104.22×104t和34.65×104t;(2)长江、珠江和黄河三大流域的吸附态氮、磷流失量之和分别占全国总量的83%和89%,单位面积(1km2)吸附态氮、磷的流失量分别介于6.0×10-4～0.53t和2.1×10-4～0.13t之间;(3)吸附态氮的重点流失区主要分布在长江中上游水土易蚀区、黄河中游沟壑区、西辽河上游区、珠江流域红水河、西江等上游区以及怒江、澜沧江下游区.     

基于重要抽样法的耐压球壳可靠性计算方法研究

目的 解决耐压球壳极小失效概率的可靠性计算问题。方法 在自适应Kriging的基础上,结合重要抽样法提出耐压球壳可靠性计算方法。该方法在较大失效概率下构建的Kriging模型基础上获得重要方向,在重要方向上计算得到较低失效概率下的设计点,以设计点为中心,构建小失效概率的Kriging模型,并通过此模型采用重要抽样法开展可靠性计算。结果 分别使用提出的重要抽样法和蒙特卡洛法计算了2个算例的失效概率,计算结果表明,该方法具有较高的精度和效率。使用该方法对某耐压球壳工作载荷下的失效概率进行了计算,计算得到该球壳失效概率为4.094×10^–96。结论 研究结果可为无失效方程下极低失效概率的可靠性计算问题提供参考。     

施工现场工人不良职业心理与不安全行为机理研究

为探讨施工现场工人不良职业心理及不安全行为的影响关系,利用问卷调查,采用结构方程构建工作压力、不良职业心理与不安全行为的结构模型。结果表明:工作安排、工作环境、管理政策及人际关系带来的工作压力与不良职业心理及不安全行为均显著相关;个体因素带来的工作压力对不良职业心理无显著影响,但对不安全行为有显著影响;不良职业心理在工作压力与不安全行为之间起到部分中介的作用即工作压力与不安全行为之间不仅存在直接显著关系,且工作压力还可以通过产生不良职业心理从而影响不安全行为。     

领导行为、安全文化与矿工安全行为的结构方程模型

为了提高矿工的安全行为,在相关研究基础上,提出领导行为、安全文化与矿工安全行为之间的理论假设模型。依据436份来自矿工的有效问卷,利用结构方程模型方法验证假设。结果表明:领导行为、安全文化对于安全行为具有一定的预测力和影响力,领导行为不仅对安全文化有直接影响,也通过安全文化间接影响安全行为;交易型领导对安全行为的整体影响强度高于变革型领导;变革型领导和交易型领导对安全文化各维度均有显著的正向影响关系;安全文化中除安全规程和安全培训对安全参与行为预测力不足外,其余维度均对安全遵守行为和安全参与行为有显著的正向影响关系。     

湿润剂溶液在硫化矿矿尘中的反向湿润行为研究

采用毛细管反向渗透湿润实验方法,研究了两种阴离子型湿润剂对两种硫化矿矿尘的反渗长度与反渗时间的关系.在实验中,环境和溶液的温度不高(20℃左右),所选的两种湿润剂对硫化矿矿尘都具有一定的改善湿润效果作用,试剂A比试剂B稍好.在反渗长度1 cm内,其反渗长度与反渗时间接近线性关系;反渗长度增大,其反渗长度与反渗时间近乎成抛物线的关系.研究结果显示,用毛细管反渗湿润法研究湿润剂对硫化矿矿尘的湿润行为时,反渗时间与反渗长度的关系基本可用Washburn方程描述;但除了方程中所含的参数外,还存在着诸多的影响因素,如几何条件、矿尘的物理化学性质、湿润剂的种类和浓度梯度等.     

Inferring extinction of mammals from sighting records, threats, and biological traits

For species with five or more sightings, quantitative techniques exist to test whether a species is extinct on the basis of distribution of sightings. However, 70% of purportedly extinct mammals are known from fewer than five sightings, and such models do not include some important indicators of the likelihood of extinction such as threats, biological traits, search effort, and demography. Previously, we developed a quantitative method that we based on species' traits in which we used Cox proportional hazards regression to calculate the probability of rediscovery of species regarded as extinct. Here, we used two versions of the Cox regression model to determine the probability of extinction in purportedly extinct mammals and compared the results of these two models with those of stationary Poisson, nonparametric, and Weibull sighting-distribution models. For mammals with five or more sightings, the stationary Poisson model categorized all but two critically endangered (flagged as possibly extinct) species in our data set as extinct, and results with this model were consistent with current categories of the International Union for the Conservation of Nature. The scores of probability of rediscovery for individual species in one version of our Cox regression model were correlated with scores assigned by the stationary Poisson model. Thus, we used this Cox regression model to determine the probability of extinction of mammals with sparse records. On the basis of the Cox regression model, the most likely mammals to be rediscovered were the Montane monkey-faced bat (Pteralopex pulchra), Armenian myotis (Myotis hajastanicus), Alcorn's pocket gopher (Pappogeomys alcorni), and Wimmer's shrew (Crocidura wimmeri). The Cox model categorized two species that have recently disappeared as extinct: the baiji (Lipotes vexillifer) and the Christmas Island pipistrelle (Pipistrellus murrayi). Our new method can be used to test whether species with few records or recent last-sighting dates are likely to be extinct.