确定岩体斜坡滑动面抗剪强度的动态反分析方法

滑动结构面的抗剪强度在岩体滑坡的稳定性计算中是最重要的参数,也是最难以确定的。基于岩体抗剪强度是多种因素影响下的随机变量这一认识前提下,本文以西柏坡“中共中央解放军总部”旧址滑坡为例提出了确定岩体斜坡滑动面抗剪强度的动态反分析方法,并对该方法获得的抗剪强度的实用性进行了分析。结果表明,反分析方法是获得岩体斜坡滑动面抗剪强度的最经济、合理的途径。     

液化四氟乙烷小孔泄漏试验研究

采用高速摄影技术,考察了液化四氟乙烷发生小孔泄漏时,其水平泄漏和垂直泄漏的初始云团演化行为、泄漏的质量流率、喷射速度和喷射角,并与理论计算公式进行了对比。结果表明:水平喷射两相云团尾部出现涡流,涡流大幅加快了云团向空气中扩散的速率;垂直喷射的两相云团在地面形成液池,液池大幅增加了液化气体向空气中蒸发的速率。水平泄漏试验的喷射角与容器内超压变化规律相似,泄放初期喷射角逐渐增大,经历一段平坦期,到泄放末期喷射角减小。水平泄漏和垂直泄漏的初始喷射速度分别为25 m/s和20 m/s,与理论值26.6 m/s基本吻合。水平泄漏的质量流率的试验值和理论值分别为0.0598 kg/s和0.0684 kg/s,垂直泄漏的分别为0.0472 kg/s和0.059 6 kg/s,结果对比基本吻合,推荐的泄漏质量流率和小孔喷射速度公式可以用于液化四氟乙烷小孔泄漏。     

基于放射性碳分析的多环芳烃源解析:技术进展和准确性评估

化石燃料燃烧和生物质燃烧是污染物多环芳烃(polycyclic aromatic hydrocarbon,PAHs)的两大来源.放射性碳(14C)分析近年用于评估这两类源对环境中PAHs的相对贡献.此方法基于化石燃料和生物质的14C含量差异,即化石燃料不含14C,而生物质的14C浓度有一个较稳定值.14C的自然丰度极低(约10-12),因此检测PAHs这样的痕量污染物的14C含量一度极具挑战.1990年代中期,加速器质谱的技术突破使得对环境样品PAHs的14C分析具有实用价值.要准确测出PAHs的14C含量,须先从化学成分复杂的环境样品中分离出高纯度的PAHs.制备气相色谱因其出色的分离能力而成为目前环境样品PAHs14C分析必备的工具.本文意在简介基于14C分析的PAHs源解析的基本原理、技术进展,以及评估该方法获得的PAHs源解析结果的准确性.     

基于可疑筛查技术研究有机磷阻燃剂V6转化规律

运用Orbitrap高分辨质谱仪,评估了人体肝微粒体(HLM)代谢V6的转化规律.除5种已被报道过的O-脱烷基、氧化性去磷酸化和氧化脱氯产物外,首次发现了6种新型产物.基于其MS/MS质谱图,该6种代谢产物被鉴定为醛基和羧基产物.其中,5种代谢物生成量随孵育时间呈线性增加趋势,具有累积性.此外,推导的代谢途径表明,脱烷基化和羟基化代谢物进一步转化为次级代谢物,即醛和羧基代谢物.     

捕集阱顶空-气相色谱/质谱法检测地表水中25种挥发性有机物

建立了捕集阱顶空-气相色谱/质谱法检测地表水中25种挥发性有机物的分析方法。采用正交实验设计对捕集阱顶空条件进行了优化,该方法相关系数0.995,加标回收率为90%~110%,方法检出限为0.08~0.39μg/L,相对标准偏差(n=7)为0.7%~4.8%,仪器检出限低于0.04μg/L。方法准确度和灵敏度较好,可以满足对地表水中25种挥发性有机物的检测要求。     

THE DISCHARGE OF SEDIMENT IN CHANNELIZED ALLUVIAL STREAMS1

ABSTRACT: Approximately 400 million cubic feet of channel sediments have been delivered to the Mississippi River from the Obion-Forked Deer River system in the last 20 years. The discharge of sediment from these channelized networks in West Tennessee varies systematically with the stage of channel evolution. Variations in yields over time reflect the shifting dominance of fluvial and mass-wasting processes as the networks adjust to lower energy conditions. Maximum bed-material discharges occur during the initial phases of degradation (Stage III). In contrast, yields of suspended-sediment peak during the threshold stage (Stage 1V: large-scale mass wasting) as sediments are delivered from main-channel banks and tributary beds. Suspended-sediment yields then decrease as aggradation (Stage V) becomes the dominant trend in the main channels, but remains relatively high through restabiliza-tion (Stage VI) because of continued degradation and widening in the tributaries. Bed-material discharges decrease from the degradation stage (III) to Stage V, and increase again during restabiliza-tion (Stage VI) because secondary aggradation increases gradients and incipient meandering serves to rework bed sediments. This secondary maxima in bed-material discharge is analogous to those described previously as complex, or oscillatory, response. The trends of sediment production and transport described from these rejuvenated networks are in agreement with experimental and theoretical results of earlier investigations.     

Effect of air masses motion on the rapid change of aerosols in marine atmosphere

The impact of air masses motion on marine aerosol properties was investigated using an on-board single particle mass spectrometer(SPAMS) deployed for the determination of single particle size resolved chemical composition over Southeast China Sea. Two aerosol blooms(E1 and E2) were observed during the cruise. High average particle number count occurred in E1(7320), followed by E2(5850), which was more than 100–150 times of the average particle number count during normal periods. Particles were classified as four major sources, including continental source, shipping source, marine source, and transport source based on the mass spectral similarity. Transport source was identified as those particles with high particle number count occurred only during aerosol bloom period. Three sub-types of EC-Ca, OC-Ca, and Al-rich were classified as transport source.EC-Ca was the dominant particles of the transport source, accounting for more than 70%of the total particles in aerosol bloom events. A uni-modal size distribution in the size range of 0.1–2.0 μm was observed during normal period, while a bimodal distribution with a tiny mode(0.3 μm) and a coarse mode between 0.4 and 0.6 μm was present during aerosol bloom. The variation of aerosol source is consistent with air masses back trajectories, for the reason that most of the long-range air trajectories are from the ocean,while short air trajectories originate in the continental regions, which means that air masses have a significant impact on the aerosol physical–chemical properties along their tracks.     

洛阳市大气细颗粒物化学组分特征及溯源分析

为研究洛阳市大气细颗粒物(PM2.5)的化学组分及来源的时空分布特征,对汾渭平原地区较为欠缺的PM2.5相关研究进行补充,在2018年4月至2019年1月在洛阳市高新和林校2个点位进行了样品采集,对P(PM2.5)、化学组分(水溶性离子、碳质组分、元素)和来源进行分析.2个点位的年均ρ(PM2.5)分别为(76.6±37.9)μg-m-3和(83.2±38.9)μg·m-3,季节变化由高到低均为:冬季、春季、秋季和夏季.高新和林校的9种水溶性离子浓度分别占PM2.5的 55.1％和54.2％,林校的二次离子(NO3-、SO42-和NH4+)年均浓度之和高于高新.高新和林校的ρ[有机碳(OC)]、P[元素碳(EC)]分别为(12.4±7.7)μg·m-3、(1.2±0.5)μg·m-3和(13.4±7.7)μg·m-3、(1.3±0.5)μg·m-3,林校的含碳组分在各季节均高于高新;高新和林校冬季的二次有机碳(SOC)在OC中质量分数分别为67.8％和77.3％,远高于其他季节.化学质量平衡结果表明,高新和林校的主要贡献源均为二次硝酸盐(26.9％和27.1％)、二次硫酸盐(14.5％和14.8％)、燃煤(12.6％和11.6％)、SOA(10.8％和12.2％),高新的生物质源贡献较高,而林校的扬尘源和机动车源贡献较高.后向轨迹和潜在源贡献因子分析表明,洛阳市春季不仅受到来自西北方向的传输,来自西南地区的污染传输也不能忽略;夏季既受到正东方向的季风影响,又有来自正南方向的潜在污染;秋季污染物主要来自东南方向,同时也存在西北方向的潜在来源;冬季受到的传输影响则主要来自周边区域,污染来源较为集中.     

Ecology of Nuclear Polyhedrosis Virus in Western Siberian Populations of the Gypsy Moth (<Emphasis Type="Italic">Lymantria dispar</Emphasis> L.)

The impact of the nuclear polyhedrosis virus on the population dynamics of the gypsy moth Lymantria dispar L. has been studied. The results have shown that polyhedrosis morbidity in the western Siberian population of the insect is relatively low, compared to that reported for North American and European populations. A possible cause of this situation is found in the high migration activity of moths in the Asian L. dispar populations, which allows the virus load on the biotope to remain relatively stable and insufficient for the initiation of mass viral diseases during population outbreaks.__________Translated from Ekologiya, No. 3, 2005, pp. 222–226.Original Russian Text Copyright © 2005 by Ilinykh.