Validation of temporal and spatial consistency of facility- and speed-specific vehicle-specific power distributions for emission estimation: A case study in Beijing,China

Vehicle-specific power (VSP) has been found to be highly correlated with vehicle emissions. It is used in many studies on emission modeling such as the MOVES (Motor Vehicle Emissions Simulator) model. The existing studies develop specific VSP distributions (or OpMode distribution in MOVES) for different road types and various average speeds to represent the vehicle operating modes on road. However, it is still not clear if the facility- and speed-specific VSP distributions are consistent temporally and spatially. For instance, is it necessary to update periodically the database of the VSP distributions in the emission model? Are the VSP distributions developed in the city central business district (CBD) area applicable to its suburb area? In this context, this study examined the temporal and spatial consistency of the facility- and speed-specific VSP distributions in Beijing. The VSP distributions in different years and in different areas are developed, based on real-world vehicle activity data. The root mean square error (RMSE) is employed to quantify the difference between the VSP distributions. The maximum differences of the VSP distributions between different years and between different areas are approximately 20% of that between different road types. The analysis of the carbon dioxide (CO₂) emission factor indicates that the temporal and spatial differences of the VSP distributions have no significant impact on vehicle emission estimation, with relative error of less than 3%.

Implications: The temporal and spatial differences have no significant impact on the development of the facility- and speed-specific VSP distributions for the vehicle emission estimation. The database of the specific VSP distributions in the VSP-based emission models can maintain in terms of time. Thus, it is unnecessary to update the database regularly, and it is reliable to use the history vehicle activity data to forecast the emissions in the future. In one city, the areas with less data can still develop accurate VSP distributions based on better data from other areas.     

臭氧催化氧化工艺深度处理印染废水

采用正交实验对催化剂NiO/γ-A12O3的制备条件进行优化,并探讨臭氧催化氧化法对于印染废水的深度处理效能.结果表明,最优的催化剂制备条件为:浸渍液浓度为3％、浸渍时间为4h、灼烧温度为450℃、灼烧时间为3h.臭氧催化氧化反应15 min时,COD浓度由84.22 mg/L降低至50.00 mg/L以下;氨氮浓度由10.88 mg/L降低至5.01 mg/L;色度去除率达到69％,明显高于单纯臭氧氧化的反应效率.     

采用数值风洞模型对热电厂烟塔合一大气污染扩散的研究

随着城市的快速建设,城市建筑的高度和体量不断增加,同时大气污染源的排放方式和排放状态也与从前发生了很大的变化,特别是热电厂采用烟塔合一排放方式的出现,对常规应用的稳态远距离以统计学为基础理论的高斯大气预测方法提出了挑战。目前国内外广泛使用的大气污染物预测模式——德国模式在烟塔合一排放方式的预测上存在着许多关键性问题,如大风下洗条件下,冷却塔附近空腔区的大小和范围、空腔区污染物最高地面浓度等无法给出准确的预测结果。为准确预测烟塔合一排放方式的大气污染物扩散情况,采用一种新的大气污染物扩散的预测模式——数值风洞模型进行模拟预测研究,预测结果表明,在烟塔合一排放方式下,大气污染物最高地面浓度随风速增加而增加,同时在冷却塔下风向存在负压区,污染物在该区域高浓度聚集。且在夏季6.0m/s风速下,冷却塔下风向最高地面浓度出现峰值,属于最不利的气象条件。数值风洞模型可利用图形化手段实现对空腔区产生、变化、破碎至再生成的全过程描述,从而建立了一种大气污染预测的重要手段。     

近断层桥梁最小搭接长度数值分析∗

为了研究近断层地震作用下桥梁合理的最小搭接长度,防止落梁破坏,基于有限元软件 ANSYS 建立了连续刚构桥三维有限元模型;考虑了近断层和断层处地震动以及结构弹塑性特征对高墩连续梁桥最小搭接长度的影响;基于国内外抗震设计规范,分析了远场、近断层和断层处地震动下结构的最小搭接长度需求。针对该桥分析, 研究结果表明：根据各国抗震规范要求,中国和日本规范相对较保守,其搭接长度约为美国规范计算结果 2 倍和 1.5 倍;考虑近断层地震的最小搭接长度满足《公路桥梁抗震设计规范》要求,而地表破裂的跨断层地震作用下最小搭接长度需求超出规范要求,跨断层桥梁应采用防落梁措施;搭接长度与桥梁结构设计参数(跨径,墩高和材料等)和地震动强度指标(PGA,断层错位,PGV 和 PGV/PGA 等)有关。     

闽江福州段沉积物中多环芳烃的分布、来源及其生态风险

对闽江福州段37个沉积物样品中的15种多环芳烃(PAHs)进行了研究.结果表明,15种PAHs的总量在241.5～1310.8ng·g-1之间,均值为630.9ng·g-1,且从上游到下游整体上呈下降的趋势,但在福州市区附近有突增的现象.沉积物中有机质含量(SOM)与PAHs总量呈显著正相关(r=0.58,p<0.01).同时,应用因子分析和多元线性回归方法对PAHs进行了源解析.结果表明,煤燃烧来源占31.7%,汽油燃烧占25.2%,柴油燃烧占28.7%,石油泄漏源占14.5%,石油燃烧是闽江福州段沉积物中PAHs的主要来源.用效应区间中值ERM(the effects range median)和效应区间低值ERL(the effects range low)及其商值平均方法对闽江福州段沉积物中PAHs的生态风险进行了评价.结果表明,有4个样品芴的含量超过ERL指导值(19ng·g-1),具有一定的生态风险,其余PAH单体和PAHs总量都不超标.     

Purification and Properties of a Poly (β-hydroxybutyrate) Depolymerase From Penicillium sp.

An extracellular poly (β-hydroxybutyrate) (PHB) depolymerase was purified from a Penicillium sp. DS9701-09a by centrifugation, ultrafiltration, precipitation and gel filtration chromatography. The specific activity of the purified enzyme was 37.9-folds higher than that of the culture supernatant and the recovery yield was 11.8%. The PHB deploymerase molecular mass was 44.8 kDa from analysis of both Sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) and Matrix-assisted laser desorption-time-of-flight (MALDI-TOF) mass spectrometer. The isoelectric point of 6.7 for the enzyme was determined by a two-dimensional electrophoresis. The optimum enzyme activity was observed at a temperature of 50 °C and pH 5.0. The apparent K _m of the enzyme was found to be 1.35 mg/mL. The PHB depolymerase consisted of 16 kinds of normal amino acids. The secondary structure of the enzyme was determined by CD spectrum. α-helix and β-turn were found to be 66% and 34% for the enzyme without ammonium sulphite. Chemical inhibition on the PHB depolymerase activity was examined and EDTA was found to have a significantly inhibitory effect.     

火电厂无GGH湿法脱硫机组烟囱降雨原因分析及对策

某火电厂无GGH湿法脱硫机组运行中出现的烟囱降雨现象,分析影响"湿烟囱"降雨的因素,找出该电厂无GGH湿法脱硫机组烟囱降雨的主要原因。从湿法脱硫系统的设计和运行等方面提出解决问题的方法和建议,通过分析认为,完善除雾器设备,保证电除尘高效运行,可以使烟囱降雨现象有所缓解。     

表面活性剂AE对黄鳝保护酶SOD、CAT和GSH-PX活性的影响

以肝脏组织保护酶λ(SOD)、λ(CAT)和λ(GSH PX)为指标 ,研究了表面活性剂AE(脂肪醇聚氧乙烯醚 )污染对黄鳝 (Monopterusalbus)的损伤作用 .结果显示 :ρ(AE) 1.5mg/L处理液对黄鳝的损伤较小 ;随着 ρ(AE)升高 ,损伤程度加剧 .ρ(AE) >4 .5mg/L的处理液对黄鳝损伤较大 ,保护酶λ(SOD)、λ(CAT)在处理 96h后被抑制 ,λ(GSH PX)升高 .发现环境中AE的残留量对黄鳝种群有影响 .也证实了λ(SOD)、λ(CAT)和λ(GSH PX)变化可以反映黄鳝的伤害程度 .表 3参 14     

Impacts on wetlands of large-scale land-use changes by agricultural development: the Small Sanjiang Plain, China

The Small Sanjiang Plain (SSP), was formerly the largest wetland complex in China, located in the Northeastern part of Heilongjiang Province, China. Home to vast numbers of waterfowls, fish, and plants, the SSP is globally significant for biodiversity conservation. The loss and fragmentation of wetlands as a result agricultural development over 50 years has impacted wetland communities and their biodiversity. We used GIS to inventory large-scale land-use changes from 1950 to 2000, together with other statistical data. We found that 73.6% of the wetlands were lost due to agricultural development. Consequences of these land-use changes included: i) a rapid decline in waterfowl and plant species with the loss and fragmentation of natural wetlands and wetland ecosystem degradation; ii) greater variation in wetland water levels as the result of land-use changes over the years; iii) disruption of the dynamic river-floodplain connection by construction of drainage ditches and levees; and iv) a decrease in floodplain area that caused increased flooding peak flows and runoff. Here we show how these changes affect wetland biodiversity and impact important wetland species.