火电厂电除尘器电控系统的节能改造

电除尘器是火力发电厂的高能耗设备,从细节入手,挖掘电除尘器节能潜力,利用原有设备进行改造,采用简易脉冲供电方式和临界反电晕供电方式可以提高电除尘器电能的利用率,大幅度地降低电除尘器的能耗,实现节能。通过对电除尘器电控系统改造实例的前后电场参数进行比较,说明这种改造方法是可行的,实现了经济、节能与环保三者的兼顾与统一。     

柴油低温临界吸收法回收装车挥发油气

研究了采用柴油低温临界吸收法回收装车挥发油气的效果。实验结果表明：按装车挥发油气中的总烃体积分数为20.88%、装车挥发油气流量为280 m³/h、年运行时间为2 668 h计,装置年回收油气量为291 t,装置年最大运行功率为206.770 MW,装置投资回收期为3 a;处理后净化气中的总烃体积分数为1.24%,排放质量浓度低于25 g/m³,油气回收率达95%。处理后净化气满足GB 20950—2007《储油库大气污染物排放标准》,取得了较好的环保效益和经济效益。     

大空间单跨门式刚架结构抗火性能影响因素的客观权重研究

火灾时的大空间单跨门式刚架结构抗火性能,受钢构件温升和结构整体抗火临界温度的影响.本文通过对无保护大空间建筑钢构件温升数据的统计分析,获得包含火源功率、建筑体积、钢构件截面形状系数的钢构件温升拟合公式;结合单跨门式刚架结构整体抗火临界温度数据的统计分析,获得包含荷载比、柱高和系数K的结构整体抗火临界温度拟合公式;通过分...     

约束高强度Q460钢柱抗火性能分析

为了研究高强度约束钢柱在火灾下的反应,根据高强度结构钢Q460在高温下的力学性能参数,建立了约束高强度钢柱受火分析模型,得到了高强度约束钢柱在火灾下的轴向位移、跨中挠度、最大应力以及临界温度。采用有限元分析对理论结果进行了验证,两者吻合很好。利用验证过的该文计算方法计算了2种荷栽比、长细比和约束刚度比条件下的高强钢柱的抗火性能;采用CECS200:2006的力学性能参数计算了约束普通钢柱的抗火性能。通过对高强钢和普通钢的抗火性能分析发现,轴向约束明显降低钢柱的临界温度,长细比、荷载比越大,临界温度越低;高强钢的抗火性能要优于普通钢。     

2008年低温雨雪冰冻对武汉城市公共交通的影响评估

为了对2008年低温雨雪期间气象条件对城市交通运输的影响给出定量评估,运用天气分析及统计学方法,分析了低温雨雪冰冻期间武汉市主要气候特征,利用2008年初持续低温雨雪期间武汉城市公共交通线路（包括公交车、轮渡、汽渡）逐日停运数据,定义了持续低温雨雪冰冻过程城市公共交通影响度,通过统计分析,找到了关键气象因子、关键期和低温临界指标,建立了气象评估模型。结果表明：在持续低温雨雪冰冻过程中,初发时期是公共交通影响的关键时期之一,影响度与积雪深度关系最密切,在公交车、轮渡、汽渡3种交通工具中,公交车影响度与气象要素的相关最密切,对武汉城市公交车造成明显影响的临界气温是17℃。该结论在实际的气象灾害评估业务工作中进行了运用,效果良好     

不同水层光照强度对4种沉水植物生长的影响

选取金鱼藻(Ceratophyllum demersum)、轮叶黑藻(Hydrilla verticillata)、水盾草(Cabombacaroliniana)、苦草(Vallisneria gigantean)为试验材料,研究不同水层的光照强度对其存活率、株高、生物量等的影响,旨在找出这4种沉水植物在自然条件下的最...     

遥感技术在灰霾监测中的应用综述

介绍了灰霾遥感监测的基本原理,论述了基于图像变换的TC法、HOT法和基于反演气溶胶光学厚度的灰霾遥感监测技术,以及造成灰霾天气的秸秆燃烧遥感监测方法.指出卫星遥感技术可以提供大尺度、长时间序列的污染物时空分布特征和变化趋势,以及全球性的大气环境综合遥感数据,是灰霾监测与综合治理的重要途径.     

Predictive models of turbidity and water depth in the Doñana marshes using Landsat TM and ETM+ images

We have used Landsat-5 TM and Landsat-7 ETM+ images together with simultaneous ground-truth data at sample points in the Doñana marshes to predict water turbidity and depth from band reflectance using Generalized Additive Models. We have point samples for 12 different dates simultaneous with 7 Landsat-5 and 5 Landsat-7 overpasses. The best model for water turbidity in the marsh explained 38% of variance in ground-truth data and included as predictors band 3 (630–690 nm), band 5 (1550–1750 nm) and the ratio between bands 1 (450–520 nm) and 4 (760–900 nm). Water turbidity is easier to predict for water bodies like the Guadalquivir River and artificial ponds that are deep and not affected by bottom soil reflectance and aquatic vegetation. For the latter, a simple model using band 3 reflectance explains 78.6% of the variance. Water depth is easier to predict than turbidity. The best model for water depth in the marsh explains 78% of the variance and includes as predictors band 1, band 5, the ratio between band 2 (520–600 nm) and band 4, and bottom soil reflectance in band 4 in September, when the marsh is dry. The water turbidity and water depth models have been developed in order to reconstruct historical changes in Doñana wetlands during the last 30 years using the Landsat satellite images time series.     

China's Total Emission Control Policy:a Critical Review

As part of a comprehensive environmental management system, many countries establish emission control targets for mass emissions of a pollutant. Such targets are often the key objective of an environmental policy, such as an emission trading program. In China, however, it is more than just an objective of one particular policy; it has become a concept that has influenced many national environmental policies and activities. The objective of this article is to review the implementation of the total emission c...     

2,4-D mineralization in unsaturated and near-saturated surface soils of an undulating,cultivated Canadian prairie landscape

The herbicide 2,4-D [2,4-(dichlorophenoxy) acetic acid] is one of the most widely used pesticides in the Canadian prairies and is frequently detected as a ground and surface water contaminant. The objective of this paper was to determine the magnitude and extent of variation of 2,4-D mineralization in a cultivated undulating prairie landscape. Microcosm incubation experiments, using a 4 × 3 × 2 factorial experimental design (soil moisture, 4 levels: 60, 85, 110, 135% of field capacity; slope position, 3 levels: upper-, mid- and lower-slopes; soil depth, 2 levels: 0–5 and 5–15 cm), were used to assess 2,4-D mineralization. The first-order mineralization rate constant (k₁) varied from 0.03 to 0.22 day^{? 1}, while total 2,4-D mineralization varied from 31 to 52%. At near-saturated conditions (110 and 135% of field capacity), the onset of 2,4-D degradation was delayed in soil obtained from the upper- and mid-slopes but not in soils obtained from the lower-slope position. The k₁ and total 2,4-D mineralizationwas significantly influenced by all three factors and their interactions. The Freundlich sorption coefficient of 2,4-D ranged from 0.83 to 2.46 ug ^1–1/ng^{? 1} mL^1/n and was significantly influenced by variations in soil organic carbon content across slope positions. The infield variability of 2,4-D sorption and mineralization observed across slope positions in this undulating field was comparable in magnitude and extent to the regional variability of 2,4-D sorption and mineralization observed in surface soils across Manitoba. The large variability of 2,4-D mineralization and sorption at different slope positions in this cultivated undulating field suggests that landform segmentation models, which are used to delineate slope positions, are important considerations in pesticide fate studies.