北京地铁岛式站台噪声的初步研究

为研究北京岛式站台噪声水平及噪声特点,选取了北京地铁2号线和5号线的10个岛式站台进行了实地的测量,从噪声级以及频谱角度对测量结果进行了分析。结果显示,测量时间内的LAeq,max都高于标准限值80dB(A)。使用独立样本t检验的结果得出,2号线与5号线在LAeq以及LAeq,max上不存在显著差异(P>0.05),说明2号线和5号线噪声在相近的水平上。通过噪声频谱的时程曲线也直观的得出列车在进出站过程中噪声级大于80dB(A),无列车通过且不受相反轨道列车影响时的背景噪声在65dB(A)左右,受影响时在70dB(A)左右。倍频程频谱分析得出,地铁站台噪声具有明显的中频特征。进一步分析,2号线和5号线站台都存在若干的主频,其基频和谐频分别为63、250和1kHz。     

夏季持续高温天气对北京市大气细粒子(PM2.5)的影响

在1999-06-23北京市出现长达13d的持续高温期间对细粒子(PM_2.5)质量浓度进行了观测.数据表明,持续高温期间细粒子质量浓度比非高温期间要高出2～3倍.但是通过对持续高温期间的气象数据进行分析,发现还是很利于污染物扩散.进一步分析同步监测的O₃浓度、颗粒物中SO₄^2-的粒径范围及其含量等数据,发现夏季持续高温期间活跃的光化学反应应该是北京市细粒子的主要来源.     

北京市大气细粒子的来源分析

细粒子(空气动力学直径小于2.5μm的颗粒物)污染是许多城市重要的大气环境问题.从1999年至2000年对北京市细粒子展开了4次采样和化学分析,有效采样天数为40d.利用正定矩阵分解(PMF)方法对细粒子的来源进行了分析.化学成分包括EC(元素碳)、有机物、SO₄^2-、F^-、Cl^-、Fe、Ca、K、Mg、Al、Na、Zn、Mn、Ti、Pb、Ba和P等17种.发现主要来源有6类:地面扬尘、建筑源、生物质燃烧、二次源、机动车排放和燃煤.     

Characteristics of animal-related motor vehicle crashes in select National Park Service units—United States, 1990–2013

Objectives: Nationally, animal–motor vehicle crashes (AVCs) account for 4.4% of all types of motor vehicle crashes (MVCs). AVCs are a safety risk for drivers and animals and many National Park Service (NPS) units (e.g., national park, national monument, or national parkway) have known AVC risk factors, including rural locations and substantial animal densities. We sought to describe conditions and circumstances involving AVCs to guide traffic and wildlife management for prevention of AVCs in select NPS units.

Methods: We conducted an analysis using NPS law enforcement MVC data. An MVC is a collision involving an in-transit motor vehicle that occurred or began on a public roadway. An AVC is characterized as a collision between a motor vehicle and an animal. A non-AVC is a crash between a motor vehicle and any object other than an animal or noncollision event (e.g., rollover crash). The final data for analysis included 54,068 records from 51 NPS units during 1990–2013. Counts and proportions were calculated for categorical variables and medians and ranges were calculated for continuous variables. We used Pearson’s chi-square to compare circumstances of AVCs and non-AVCs. Data were compiled at the park regional level; NPS parks are assigned to 1 of 7 regions based on the park’s location.

Results: AVCs accounted for 10.4% (5,643 of 54,068) of all MVCs from 51 NPS units. The Northeast (2,021 of 5,643; 35.8%) and Intermountain (1,180 of 5,643; 20.9%) regions had the largest percentage of the total AVC burden. November was the peak month for AVCs across all regions (881 of 5,643; 15.6%); however, seasonality varied by park geographic regions. The highest counts of AVCs were reported during fall for the National Capital, Northeast/Southeast, and Northeast regions; winter for the Southeast region; and summer for Intermountain and Pacific West regions.

Conclusions: AVCs represent a public health and wildlife safety concern for NPS units. AVCs in select NPS units were approximately 2-fold higher than the national percentage for AVCs. The peak season for AVCs varied by NPS region. Knowledge of region-specific seasonality patterns for AVCs can help NPS staff develop mitigation strategies for use primarily during peak AVC months. Improving AVC data collection might provide NPS with a more complete understanding of risk factors and seasonal trends for specific NPS units. By collecting information concerning the animal species hit, park managers can better understand the impacts of AVC to wildlife population health.     

2013年北京市PM2.5重污染日时空分布特征研究

根据2013年北京市环境保护监测中心监测的PM2.5数据,系统分析了北京市重污染日PM2.5污染的时空分布特征,并利用克里格插值初步统计了全年和重污染日PM2.5不同浓度区间的国土面积。2013年全市PM2.5年均浓度为89.5μg/m3,重污染日平均浓度为218μg/m3,重污染日主要集中在冬季;PM2.5年均浓度呈现明显的南高北低梯度分布特征,而重污染日空间分布较均匀,南部及城六区存在明显的高污染区,平均浓度在180μg/m3以上;2013年北京市重污染日PM2.5平均浓度为150~250μg/m3,其对应的国土面积约为12 656 km2,PM2.5平均浓度在250μg/m3以上的国土面积约为883 km2,而全年无PM2.5平均浓度在150μg/m3以上所对应的国土面积。     

2014年北京市CO浓度水平和时空分布

对北京市地面监测站点的CO浓度进行分析，探讨其浓度水平、变化趋势和时空分布特征。2014年春、夏、秋、冬四季北京市CO平均浓度分别为1.06、0.87、1.34、2.17 mg/m³。CO浓度均呈双峰型变化，第一个峰值出现在07：00-09：00，主要由交通早高峰的排放引起；第二个峰值出现在23：00左右，主要受交通晚高峰排放和夜间边界层高度降低的挤压效应的共同影响。从空间分布来看，全年整体呈现南高北低的分布特征，尤其是秋、冬季较为明显，体现了工业布局和区域传输对CO的影响。从全年来看，湿度对CO浓度的影响最大。对2014年冬季北京市的一次高CO浓度分析结果表明，此次过程是由本地排放和区域传输共同造成的，气象要素中地面气压对CO浓度影响最大。     

北京垃圾分类工作现存问题与对策建议

《北京市生活垃圾管理条例》实施以来,北京垃圾分类工作取得“六升两降”八项成效。基于现阶段北京垃圾分类工作推进情况与存在的痛点、难点问题,提出通过购买第三方服务、借助科技手段与工具、多种渠道多种方式相结合、建立长效监督评价机制等方式,为顺利推进北京垃圾分类工作提供参考。     

交通限行对大气颗粒物及PM2.5中二NFDA1英的影响

为了研究北京大气颗粒物和二NFDA1英(PCDD/Fs)的污染状况以及评估交通限行对大气颗粒物和PCDD/Fs的影响。利用同位素稀释高分辨率气相色谱/高分辨率质谱(HRGC/HRMS)联用法和USEPA 1613B 标准方法,以中国地质大学(北京)东门为采样点,采集大气PM_2.5、PM₁₀、TSP样品,对北京市交通限行期间以及交通限行前后等不同交通状况下颗粒物浓度及大气PM_2.5中17种2,3,7,8-PCDD/Fs污染特征进行了监测。结果表明,PM_2.5、PM₁₀、TSP的日均质量浓度在交通限行前分别为126、202、304 μg/m³,限行期间分别为39、78、93 μg/m³,限行结束后分别为79、126 μg/m³。PM_2.5中17种PCDD/Fs的质量浓度(毒性浓度)3个时段分别为1 804 fg/m³(70 fg I-TEQ/m³)、252 fg/m³ (9 fg I-TEQ/m³)和1 196 fg/m³ (48 fg I-TEQ/m³)。北京市交通限行期间颗粒物浓度和二 NFDA1 英浓度显著低于交通限行前后,交通源减排措施的实施是大气颗粒物和二 NFDA1英污染水平降低的主要原因,从减排效果看,交通源减排措施对大气细颗粒物(PM_2.5)的控制效果明显好于大气粗颗粒物。     

北京城市生态系统的能值动态分析

采用能值理论与分析方法,对北京市1990~2001年间的能值结构动态进行了分析,并采用人均能值、能值密度、生态功能潜力、人口基本承载力、能值自给率、能值货币比率、环境负载率、输入能值比等重要能值指标对该时期北京市城市生态系统的能值状况作了详细分析。研究表明,北京城市生态系统正处于较高发展水平,已基本跨入发达国家水平的行列;但高强度、快速发展给本市带来了巨大的生态环境压力,未来北京的可持续能力建设已势在必行。文章也提出了北京城市生态系统可持续发展能力建设的基本方向。     

Lichens as indicators of a perturbation/stability gradient in the Asperillo dunes, SW spain

In the asperillo dune system, Southwest Spain, lichen vegetation covering the dune sand, has a low species diversity but is an important component of the perennial vegetation, providing stability, nutrients, and moisture to the soil layer. The Asperillo dunes harbour (1) natural ecosystems, (2) disturbed systems affected by forestry activities where the natural vegetation is eliminated, and (3) pine forest resulting from afforestation withPinus pinea since the end of the 1940s where the composition and abundance of the lichen flora has been drastically changed. Our hypothesis was that the lichen species composition and distribution are influenced by the type and period of human intervention. To test this hypothesis a 1.2 km × 1.1 km area, which includes zones with different degrees of conservation and perturbation, consisting of five different habitats, was selected: well preservedJuniperus woodland,Pinus pinea plantations with dense scrub, dense scrub,P. pinea plantations cleared from scrub, and pioneer scrub in recent pine afforestation. In each area, randomly located 5m × 5 m homogeneous plots were sampled. In each plot the cover of shrub and lichen species was recorded. The first results show that lichen cover is higher in the most preserved areas,Cladonia mediterranea being the dominant species under theJuniperus phoenicea canopy. The lichen community changes in composition and abundance depending on the time elapsed since the last perturbation.