FLUENT在公路隧道有毒气体事故泄漏扩散研究中的应用

针对公路隧道内氯气扩散问题,以计算流体力学(CFD)为理论基础,应用GAMBTT软件进行几何模型构建和网格划分.用FLUENT对所建模型中的风场和氯气泄漏扩散结果进行了模拟分析.通过不同位置氯气质量分数的比较,分析了稳定纵向通风条件下.隧道内障碍物和氯气重力效应对扩散的影响.从模拟结果可以看出,隧道内的障碍物(主要是汽车)对氯气扩散有明显阻拦作用.造成氯气在下部空间的扩散比上部空间要慢,而且距泄漏源相同距离处.下部空间的氯气质量分数远小于上部空间.同时讨论了泄漏源位置对氯气扩散范围的影响,结果表明即使在泄漏源较高的情况下,经过一段距离的扩散,氯气也会由于重力作用逐渐到达地面.最后,论证了FLUENT软件对处理隧道内毒气扩散问题的适用性,为研究工作的进一步开展提供了依据.     

风险积分参数RI在LPG站风险分析及评价中的应用

对液化石油气站选址风险进行定量分析,判断风险的可接受性,从而确定选址是否合理.拟建液化石油气站的F/N曲线未知,辨识液化石油气站可能发生的最严重事故,并应用风险积分参数确定液化石油气站的风险.经判断,液化石油气站可能发生的最严重事故为沸腾液体扩展蒸气爆炸(BLEVE),应用BLEVE火球模型对事故后果进行评价并确定事故影响范围,进而确定影响范围内的最大人数及事故发生频率,在此基础上对LPG站的风险积分参数进行计算.将计算结果与英国安全卫生执行局应用ALARP准则制定的风险可接受标准进行比较.结果表明,该液化石油气站的风险处于合理可接受区.采取一定风险减缓措施后,可考虑在此地点建设液化石油气站.     

多米诺效应的风险分析方法

介绍与分析多米诺效应的相关研究,并针对多米诺效应的定量风险分析,建立了从多米诺场景辨识到后果分析的多米诺效应定量分析方法.通过分析初始事故带来的物理效应对邻近设备的影响,计算了二次设备的损坏概率;分析了多米诺场景,计算了多米诺事故频率,并根据多米诺事故的后果得到个人风险和社会风险曲线.多米诺效应的风险是工业区一个潜在的严重风险,加强多米诺效应的研究对工厂和工业区的安全管理与规划都有重要意义.     

危险品道路运输泄漏引发水污染事故的定量风险评估方法研究

介绍了由道路交通事故引发的地表水污染事故风险定量分析方法,重点分析了突发水污染事故源发生概率和危害后果表征方法.以评价水域内道路危险品运输泄漏事故发生概率为水污染事故源发生概率.污染事故后果危害水平的表征:1)敏感区(点)最高浓度; 2)敏感区(点)超标总历时;3)水质超标的范围(如超标河流长度).评估方法为陆源造成的突发水污染事故的预防管理与应急计划的制订实施提供了科学依据.     

中国典型河湖水体铅的水生生物安全基准与生态风险评价

采用物种敏感度排序法(SSR)对我国铅的淡水水生生物安全基准进行推导,并以太湖为例进行了流域水生生物安全基准推导。对于难以获得的本土生物毒性数据,开展了相应的毒性试验。获得了我国国家与太湖流域铅的水生生物安全基准值,基准最大浓度(CMC)分别为63.92、104.26μg·L-1,基准连续浓度(CCC)分别为1.21、4.06μg·L-1。同时,对我国主要河流以及太湖流域进行了铅的生态风险评价,联合概率曲线法显示影响5%水生生物种类的概率分别为66.22%和43.19%,熵值法则显示中国主要河流存在较大的铅暴露风险,因此,我国铅的潜在生态风险较大,主要河流与太湖流域存在铅污染问题。     

Carbon dioxide emissions from cities in China based on high resolution emission gridded data

Based on the China high resolution emission gridded data (1 km spatial resolution), this article is aimed to create a Chinese city carbon dioxide (CO₂) emission data set using consolidated data sources as well as normalized and standardized data processing methods. Standard methods were used to calculate city CO₂ emissions, including scope 1 and scope 2. Cities with higher CO₂ emissions are mostly in north, northeast, and eastern coastal areas. Cities with lower CO₂ emissions are in the western region. Cites with higher CO₂ emissions are clustered in the Jing-Jin-Ji Region (such as Beijing, Tianjin, and Tangshan), and the Yangtze River Delta region (such as Shanghai and Suzhou). The city per capita CO₂ emission is larger in the north than the south. There are obvious aggregations of cities with high per capita CO₂ emission in the north. Four cities among the top 10 per capita emissions (Erdos, Wuhai, Shizuishan, and Yinchuan) cluster in the main coal production areas of northern China. This indicates the significant impact of coal resources endowment on city industry and CO₂ emissions. The majority (77%) of cities have annual CO₂ emissions below 50 million tons. The mean annual emission, among all cities, is 37 million tons. Emissions from service-based cities, which include the smallest number of cities, are the highest. Industrial cities are the largest category and the emission distribution from these cities is close to the normal distribution. Emissions and degree of dispersion, in the other cities (excluding industrial cities and service-based cities), are in the lowest level. Per capita CO₂ emissions in these cities are generally below 20 t/person (89%) with a mean value of 11 t/person. The distribution interval of per capita CO₂ emission within industrial cities is the largest among the three city categories. This indicates greater differences among per capita CO₂ emissions of industrial cities. The distribution interval of per capita CO₂ emission of other cities is the lowest, indicating smaller differences of per capita CO₂ emissions among this city category. Three policy suggestions are proposed: first, city CO₂ emission inventory data in China should be increased, especially for prefecture level cities. Second, city responsibility for emission reduction, and partitioning the national goal should be established, using a bottom-up approach based on specific CO₂ emission levels and potential for emission reductions in each city. Third, comparative and benchmarking research on city CO₂ emissions should be conducted, and a Top Runner system of city CO₂ emission reduction should be established.     

A Two-Stage Particle Swarm Optimization Algorithm for MPPT of Partially Shaded PV Arrays

The power-voltage (P-V) characteristic curves of a PV array are nonlinear and have multiple peaks under partially shaded conditions (PSCs). This paper proposes a novel maximum power point tracking (MPPT) method for a PV system with reduced steady-state oscillation based on a two-stage particle swarm optimization (PSO) algorithm. The grouping method of the shuffled frog leaping algorithm (SFLA) is incorporated in the basic PSO algorithm (PSO-SFLA), ensuring fast and accurate searching of the global extremum. An adaptive speed factor is also introduced into the improved PSO to further enhance its convergence speed. Test results show that the proposed method converges in less than half the time taken by the conventional PSO method, and the power is improved by 33% under the worst PSCs, which confirms the superiority of the proposed method over the standard PSO algorithm in terms of tracking speed and steady-state oscillations under different PSCs.     

添加炭基材料对蔬菜废物好氧堆肥进程和腐熟度的影响

以蔬菜废弃物辣椒秸秆和树叶为堆肥原料(CK),采用密闭式好氧堆肥工艺,研究了添加5%木本泥炭(T1)、5%活性炭(T2)和10%木本泥炭(T3)等炭基材料对堆肥p H、EC、CO2累积量、物料损失率、T值、C/N和发芽率指数的影响。结果显示,T2处理的p H在60 d后维持在8~9之间;EC值随着堆肥进行呈现先下降后升高再下降的趋势,最终CK、T1、T2和T3处理的EC值(m S/cm)分别降低了1.02、0.76、0.33和0.48;T2和T3处理的CO2累积量一直高于其他处理;所有处理的物料损失率均在20%以上;4个处理堆肥产品的T值分别为0.56、0.65、0.68和0.69;堆肥产品的发芽率指数分别为63.2%、69.3%、93.5%和86.1%。T值和发芽率指数显示T2和T3处理达到了腐熟阶段。结果表明,在蔬菜堆肥处理中添加炭基材料可改善堆肥产品的理化性质,加速堆肥物料的分解,有效地缩短堆肥周期和提高堆肥产品的腐熟度。     

Comparison of lignin peroxidase and horseradish peroxidase for catalyzing the removal of nonylphenol from water

Concentrations of aqueous-phase nonylphenol (NP), a well-known endocrine-disrupting chemical, are shown to be reduced effectively via reaction with lignin peroxidase (LiP) or horseradish peroxidase (HRP) and hydrogen peroxide. We systematically assessed their reaction efficiencies at varying conditions, and the results have confirmed that the catalytic performance of LiP toward NP was more efficient than that of HRP under experimental conditions. Mass spectrum analysis demonstrated that polymerization through radical–radical coupling mechanism was the pathway leading to NP transformation. Our molecular modeling with the assistance of ab initio suggested the coupling of NP likely proceeded via covalent bonding between two NP radicals at their unsubstituted carbons in phenolic rings. Data from acute immobilization tests with Daphnia confirm that NP toxicity is effectively eliminated by LiP/HRP-catalyzed NP removal. The findings in this study provide useful information for understanding LiP/HRP-mediated NP reactions, and comparison of enzymatic performance can present their advantages for up-scale applications in water/wastewater treatment.     

Winter Soil Respiration from Different Vegetation Patches in the Yellow River Delta, China

Vegetation type and density exhibited a considerable patchy distribution at very local scales in the Yellow River Delta, due to the spatial variation of soil salinity and water scarcity. We proposed that soil respiration is affected by the spatial variations in vegetation type and soil chemical properties and tested this hypothesis in three different vegetation patches (Phragmites australis, Suaeda heteroptera and bare soil) in winter (from November 2010 to April 2011). At diurnal scale, soil respiration all displayed single-peak curves and asymmetric patterns in the three vegetation patches; At seasonal scale, soil respiration all declined steadily until February, and then increased to a peak in next April. But, the magnitude of soil respiration showed significant differences among the three sites. Mean soil respiration rates in winter were 0.60, 0.45 and 0.17 μmol CO(2) m(-2) s(-1) for the Phragmites australis, Suaeda heteroptera and bare soil, respectively. The combined effect of soil temperature and soil moisture accounted for 58-68 % of the seasonal variation of winter soil respiration. The mean soil respiration revealed positive and linear correlations with total N, total N and SOC storages at 0-20 cm depth, and plant biomass among the three sites. We conclude that the patchy distribution of plant biomass and soil chemical properties (total C, total N and SOC) may affect decomposition rate of soil organic matter in winter, thereby leading to spatial variations in soil respiration.