南京北郊大气VOCs变化特征及来源解析

利用2011-03-01~2012-02-29南京北郊大气VOCs观测资料,对大气VOCs浓度变化特征和特征物比值差异展开研究,并应用PCA/APCS受体模型对不同季节VOCs来源进行了解析.结果表明,南京大气总VOCs体积混合比为43.52×10-9,其中烷烃占45.1%、烯烃占25.3%、炔烃占7.3%和芳香烃占22.3%.总VOCs体积混合比呈现夏季高,冬季低的季节变化.VOCs组分中烷烃在冬季最高,烯烃夏季最高,芳香烃春季最高,炔烃冬季最高.特征物比值(VOCs/乙炔)和T/B比值反映出观测点受周边工业区影响较大.VOCs源解析表明,主要来源来自工厂生产、机动车排放、燃料燃烧、生产活动挥发、溶剂使用和自然源.虽然有季节变化,但与工业生产活动相关的来源占大气VOCs 45%~63%,其次为机动车来源占34%~50%.     

LPG/汽油双燃料汽车实时尾气排放比较研究

为了检验目前应用较为广泛的LPG/汽油双燃料改造汽车的实际排放和能源效益,采用车载尾气检测设备(OEM-2100)收集了两辆LPG/汽油双燃料汽车的实时尾气排放数据,比较了实验车辆在使用LPG和汽油两种燃料时的实际排放结果,包括在不同工况下的排放结果的比较.比较结果显示,两车在使用LPG燃料时排放并不理想.本文还分析了两车使用LPG燃料的排放特点,又对两种燃料的经济性做了比较,得出车辆在使用LPG时的燃油经济性较好.     

在用机动车尾气排放检测简易瞬态工况法监管策略

针对简易瞬态工况法机动车尾气排放检测过程中层出不穷的违规检测现象,为对其检测过程实施有效监管,通过分析简易瞬态工况法的检测原理,筛选出可用于监管的车辆基准质量、(CO+CO2)浓度、O2浓度、实时检测尾气流量4个参数,分析其用于监管的原理和理由,并通过五气分析仪漏气实验和实测尾气流量异常案例验证其监管可行性,以期为监管...     

Effects of tracked vehicle activity on bird populations

This study was initiated to develop cause and effect relationships between Army training activities and bird populations throughout the continental United States. Installations in Kentucky, Louisiana, Texas, and Washington were selected as representative of diverse ecosystems and of extent of training. Birds were separated into 31 guilds to assist in the analysis between different ecosystems. The results showed that (1) guild theory can be useful in impact analyses within and between ecosystems, (2) tracked vehicles disturb bird populations because of habitat alteration and reduction, (3) the change in biomass ranged from 20.9to–55.3 percent and is dependent on the extent of training and ecosystem type, and (4) species replacement should be a major concern, with nine endemic species being replaced by three endemic and two introduced species. Because of similarities between tracked vehicle training and some construction activities, much of this information may be useful for analysis of civilian activities as well as military.     

Sediment Availability and Erosion Rates on Off‐Highway Vehicle Trails in the Ouachita Mountains,USA

Factors influencing sediment availability are assessed and erosion rates are quantified for an off‐highway vehicle (OHV) trail system in the Ouachita Mountains of Arkansas. As of May 2012, the Wolf Pen Gap trail system included 77.0 km of "trails" which consist of county roads; open and closed Forest Service roads; and open and closed OHV trails. For a given trail length, the sediment volume available to be eroded is determined by bare trail width and sediment depth. Four condition types are defined that group trail sections based on statistically different trail widths or depths. Trail construction method appears to influence sediment availability differences more than erosion potential (as indexed by trail slope gradient and length). The range for annual trail erosion rates is estimated as 75 and 210 tonne/ha/yr. The high and low rates are obtained using two independent methods. The 210 tonne/ha/yr rate is computed from mean sediment capture at 30 sediment traps installed for 0.5–1.0 year. The 75 tonne/ha/yr rate is computed assuming all available trail sediment measured in a one‐time sampling is eroded over the next year. We argue in support of this assumption and suggest both rate values may be conservative. Trail erosion rates and sediment trap observations indicate frequent trap cleanout will be needed to continue sediment capture from All Terrain Vehicle trails.     

非公路车辆翻车安全保护技术的研究

在我国农业、矿山、建筑、水利等行业中 ,非公路车辆保有量上千万台 ,使用者上亿人 ,由于车辆技术性能和操作使用水平参差不齐 ,非公路车辆作业工况恶劣 ,特别是车辆在承载时 ,重心上移 ,整车稳定性下降 ,加上车辆在边坡作业时 ,可能出现车辆翻滚现象 ,造成人员伤亡。笔者列举并分析了瑞典、德国、美国和中国等国家的非公路车辆翻车的人员伤亡统计数据 ;指出通过建立相应的保护法规 ,增设车辆翻车安全保护装置 (ROPS) ,一定程度上保护了工作人员安全 ;同时强调我国农业及工程车辆采用翻车保护装置的必要性 ,并给出了ROPS的设计选用原则。     

不同轨道梁模型对磁悬浮车/桥垂向耦合动力响应的影响探讨

磁悬浮铁路大量采用了封闭式高架桥。目前国内的磁悬浮车 /桥动力响应研究的模型中 ,轨道梁大多假设为梁单元。笔者将分别建立梁单元和板壳元的轨道梁模型 ,通过自编车 /桥垂向耦合程序 ,探讨这两种模型在不同车速和轨道状态下对磁悬浮车辆 /桥垂向耦合动力响应的影响。笔者得出在一定车速以下梁单元轨道梁模型梁跨中挠度将稍小于板壳元轨道梁模型的梁跨中挠度 ,而车体加速度相差不大 ,说明轨道梁假设为梁单元是简单合理的 ;不同轨道状态时 ,板壳元轨道梁模型和梁单元轨道梁模型的梁跨中挠度相差不很大 ,但车体垂向加速度相差较大 ,因此 ,在不同轨道状态下轨道梁模型的选取对磁悬浮车辆 /桥动力响应的影响较大。这些研究将对磁悬浮高架线路设计和磁悬浮列车安全运行具有一定的理论指导意义。     

Uncertainty analysis of predicted disturbance from off-road vehicular traffic in complex landscapes at fort hood

The US Army Engineering Research Development Center (ERDC) uses a modified form of the Revised Universal Soil Loss Equation (RUSLE) to estimate spatially explicit rates of soil erosion by water across military training facilities. One modification involves the RUSLE support practice factor (P factor), which is used to account for the effect of disturbance by human activities on erosion rates. Since disturbance from off-road military vehicular traffic moving through complex landscapes varies spatially, a spatially explicit nonlinear regression model (disturbance model) is used to predict the distribution of P factor values across a training facility. This research analyzes the uncertainty in this model's disturbance predictions for the Fort Hood training facility in order to determine both the spatial distribution of prediction uncertainty and the contribution of different error sources to that uncertainty. This analysis shows that a three-category vegetation map used by the disturbance model was the greatest source of prediction uncertainty, especially for the map categories shrub and tree. In areas mapped as grass, modeling error (uncertainty associated with the model parameter estimates) was the largest uncertainty source. These results indicate that the use of a high-quality vegetation map that is periodically updated to reflect current vegetation distributions, would produce the greatest reductions in disturbance prediction uncertainty.     

环境与道路交通

道路上行驶的机动车辆对环境造成噪音和尾气污染,对此,提出了行之有效的对策和措施。     

Effects of Tracking by Armored Vehicles on Townsend's Ground Squirrels in the Orchard Training Area, Idaho, USA

Spermophilus townsendii ) prey. These changes could occur directly or as a result of changes in the vegetation available as food and cover for the ground squirrels. We assessed the effects of long-term tracking by armored vehicles by comparing 9-ha areas in sagebrush (Artemisia tridentata) -dominated shrubsteppe and bluegrass (Poa secunda) -dominated grasslands subjected to low-intensity tracking for ∼50 years with others that had not been tracked. We did not detect any effect on ground squirrel population dynamics associated with long-term tracking. Although densities of adults and juveniles tended to be higher in the areas exposed to such tracking, we attribute this difference to other factors that varied spatially. To determine short-term (two-year) effects, we experimentally tracked two sagebrush and two grassland sites with an M-1 tank after animals had begun their inactive season. In the following two active seasons we monitored squirrel demography and behavior and vegetative characteristics on the experimentally tracked sites and compared the results with control sites. Although we experimentally tracked ∼33% of the surface of each of four sites where ground squirrel densities were assessed, the tracking had a detectable effect only on some herbaceous perennials and did not influence ground squirrel densities or behavior significantly during the subsequent two active seasons. We conclude that tracking after the start of the inactive season is likely to influence ground squirrel demography or behavior only if vegetation cover is substantially changed by decreasing coverage of preferred food plants or increasing the coverage of annual grasses and forbs that are succulent for only a short time each year.