基于LCA的废弃手机资源化有效运输范围量化研究

基于生命周期评价方法（LCA）分析了废弃手机资源化过程的环境效益和跨区域运输过程的环境影响,并在此基础上提出了废弃手机跨区域流动的有效运输范围及其量化方法.通过采用IMPACT 2002+评价模型,从人体健康、生态系统质量、气候变化、资源消耗四方面对当前中国废弃手机两种典型资源化利用方案和运输过程的环境表现进行了评估.结果表明,两种资源化方案均表现出显著环境效益;部件再使用和材料再生过程是废弃手机资源化环境效益的主要贡献来源;综合考虑跨区域运输过程,在满足环境效益为正的前提下,包括部件再使用和不包括部件再使用两种资源化方案的有效运输范围分别为0~3094km与0~1248km.同时,对跨区域运输过程关键参数分析后发现,提高铁路运输占比和降低货车运输空返率可以有效扩大废弃手机跨区域转移的运输范围.     

基于葵花影像中国地区夜间云识别方法研究

目的实现适用于中国地区的夜间云识别。方法根据红外波段云与非云的亮温差异,采用亮温阈值法研究适用于中国地区的夜间云识别算法。中国地形高程差异明显,其地表辐射能量也存在较大差异,影响云检测结果精度,因而提出基于三个高程阶梯的云识别方法。由于云检测结果验证缺少可见光波段,使用MODIS云数据产品和雷达数据CALIPSO分别做定性和定量验证。结果云检测区域与MODIS的MYD06云产品基本一致,CALIPSO雷达数据四个月的平均验证结果为:非云区域的提取精度约77.86%,云区域的提取精度为79.67%,将有云区域错提为非云的误差率为2.76%,而将非云区域误提取为有云区域的错误率为12.31%。结论利用日本静止气象卫星Himawari-8影像数据,根据阈值法提出的基于三个高程阶梯的云检测算法,较好地实现了适用于中国地区的夜间云识别。     

云水和云下冲刷颗粒物与气态污染物对降水中硫酸盐和硝酸盐的贡献

为定量云水和云下冲刷分别对降水中SO₄2-、NO₃-的贡献,并进一步解析云下冲刷颗粒相和气相物质分别对降水样品中SO₄2-、NO₃-的贡献,于2016年4月-2017年2月采用APS-3A型降水自动采样仪对降水进行分段采集.采用离子色谱检测分段降水样品的ρ（SO₄2-）、ρ（NO₃-）,分析其变化规律;在降水前、降水中及降水后同步采集并检测大气颗粒相ρ（SO₄2-）、ρ（NO₃-）和气相ρ（SO₂）、ρ（NO₂）,分析颗粒相中ρ（SO₄2-）、ρ（NO₃-）和气相中ρ（SO₂）、ρ（NO₂）的变化与分布.结果表明:①ρ（SO₄2-）、ρ（NO₃-）在同一场降水的分段样品中呈逐渐降低至后期趋于平稳的趋势,说明降水对空气中污染物的冲刷使空气逐渐清洁,后期冲刷作用有限使得降水中离子质量浓度趋稳.②颗粒相中ρ（SO₄2-）、ρ（NO₃-）与气相中ρ（SO₂）、ρ（NO₂）在降水前较高,在降水中减小,并在降水后回升,说明降水对颗粒相SO₄2-、NO₃-和气相SO₂、NO₂均有清除作用,降水结束后无云下冲刷作用,污染物质量浓度逐步回升.③云水对降水中ρ（SO₄2-）、ρ（NO₃-）的贡献率分别为22%~56%（平均值为35%）、9%~49%（平均值为29%）,云下冲刷颗粒相SO₄2-、NO₃-对降水中ρ（SO₄2-）、ρ（NO₃-）的贡献率分别为39%~69%（平均值为55%）、43%~73%（平均值为56%）,云下冲刷气相SO₂、NO₂对降水中ρ（SO₄2-）、ρ（NO₃-）的贡献率分别为5%~17%（平均值为10%）、5%~19%（平均值为15%）.研究显示,降水中SO₄2-、NO₃-主要来源于云水和云下冲刷颗粒相SO₄2-、NO₃-,而来源于云下冲刷气相SO₂、NO₂较少.      

土壤包气带含水率对氯代烃垂向迁移影响的模拟研究

氯代烃类挥发性有机物在土壤包气带中的垂向迁移是该类污染物呼吸暴露风险的重要途径.为探究氯代烃在土壤包气带中的垂向迁移规律,通过室内土柱模拟试验,研究土壤包气带含水率对不同氯代烃〔TCE(三氯乙烯)、PCE(四氯乙烯)〕气相扩散速率的影响,并通过线性拟合筛选出更准确的气相有效扩散系数预测模型.结果表明,土壤含水率与氯代烃气相有效扩散系数呈显著负相关〔R=-0.89,P < 0.01,n=7(TCE);R=-0.86,P < 0.01,n=7(PCE)〕.随着土壤含水率由0.5%增至40.0%,TCE气相有效扩散系数(D_T)由0.035 9 cm2/s降至0.002 5 cm2/s,平衡时间由13 h增至91 h,平衡时气体浓度由4.22 g/m3降至0.31 g/m3;PCE气相有效扩散系数(D_P)由0.033 9 cm2/s降至0.001 1 cm2/s,平衡时间由15 h增至103 h,平衡时气体浓度由3.01 g/m3降至0.12 g/m3.与Penman模型、Marshall模型模拟值相比,Millington-Quirk模型模拟值与氯代烃气相有效扩散系数实测值的拟合程度更好(R>0.95,P < 0.01,n=7).研究显示,土壤包气带含水率的增加对氯代烃气相扩散有明显的抑制作用.      

基于风廓线雷达对成都地区典型持续性重污染天气的研究

基于风廓线雷达数据、大气污染数据及气象数据对2017年12月17日—2018年1月3日成都地区的一次持续性重污染天气过程进行研究,并对两次污染物浓度爆发式增长阶段的污染原因及污染物来源进行了分析.结果表明:①在这次重污染天气过程中,风廓线雷达高精度的风场资料(包括水平风速、风向、垂直风速、大气折射率结构常数C■)配合其他气象要素在分析两个污染阶段污染物的累积及扩散、输送中可以发挥重要的作用,即当成都地区水平风场风速较小且风向多变时,此时受静稳型天气控制,污染物浓度会快速累积增长,而当出现较强的东北风时,可能会有沙尘污染物的输入,应注意沙尘天气的提前预警.垂直风场中垂直速度和大气折射率结构常数C■的变化往往影响着污染物浓度的变化,由于风廓线雷达具有较高的时间分辨率,因此,对污染天气过程的变化有一定的指示意义.②结合局地环流指数和边界层通风量,重新定义了一种适合成都地区风场特征的通风指数:有效通风量(EVI),从而表明第一阶段污染的主要原因是成都地区由静稳型天气控制,边界层内风场对污染物的稀释扩散能力差,导致污染物累积.③通过后向轨迹模拟并结合PM_(2.5)浓度数据进行聚类分析,认为第二阶段污染主要是东北方向携带有大量沙尘污染物的气团输送到成都地区导致的,与源于西北地区沙尘天气的沙尘输送密切相关.     

基于云模型的水体富营养化程度评价方法

水体富营养化程度评价对生态环境保护具有重要意义.针对水体富营养化程度评价不可避免的模糊性和随机性的特点,本文引入云模型的方法,对我国14个代表性湖库的富营养化程度进行评价.根据确定的评价标准,生成各评价因子隶属于各级别的综合云模型,并针对湖库实测资料,得到各评价物的确定度,由最大确定度决定湖库营养化级别.将该法所得结果与湖库实际水质状况、国内外应用较为广泛且简便的营养状态指数、评分公式法及模糊综合评价法所得结果进行对比,发现评价结果真实可靠,计算过程简洁明了,验证了该方法的可行性和有效性.     

CFD-based simulation of dense gas dispersion in presence of obstacles

Quantification of spatial and temporal concentration profiles of vapor clouds resulting from accidental loss of containment of toxic and/or flammable substances is of great importance as correct prediction of spatial and temporal profiles can not only help in designing mitigation/prevention equipment such as gas detection alarms and shutdown procedures but also help decide on modifications that may help prevent any escalation of the event.The most commonly used models - SLAB (Ermak, 1990), HEGADAS (Colenbrander, 1980), DEGADIS (Spicer & Havens, 1989), HGSYSTEM (Witlox & McFarlane, 1994), PHAST (DNV, 2007), ALOHA (EPA & NOAA, 2007), SCIPUFF (Sykes, Parker, Henn, & Chowdhury, 2007), TRACE (SAFER Systems, 2009), etc. - for simulation of dense gas dispersion consider the dispersion over a flat featureless plain and are unable to consider the effect of presence of obstacles in the path of dispersing medium. In this context, computational fluid dynamics (CFD) has been recognized as a potent tool for realistic estimation of consequence of accidental loss of containment because of its ability to take into account the effect of complex terrain and obstacles present in the path of dispersing fluid.The key to a successful application of CFD in dispersion simulation lies in the accuracy with which the effect of turbulence generated due to the presence of obstacles is assessed. Hence a correct choice of the most appropriate turbulence model is crucial to a successful implementation of CFD in the modeling and simulation of dispersion of toxic and/or flammable substances.In this paper an attempt has been made to employ CFD in the assessment of heavy gas dispersion in presence of obstacles. For this purpose several turbulence models were studied for simulating the experiments conducted earlier by Health and Safety Executive, (HSE) U.K. at Thorney Island, USA (Lees, 2005). From the various experiments done at that time, the findings of Trial 26 have been used by us to see which turbulence model enables the best fit of the CFD simulation with the actual findings. It is found that the realizable k-? model was the most apt and enabled the closest prediction of the actual findings in terms of spatial and temporal concentration profiles. It was also able to capture the phenomenon of gravity slumping associated with dense gas dispersion.     

Evaluating the potential for overpressures from the ignition of an LNG vapor cloud during offloading

Ignition of natural gas (composed primarily of methane) is generally not considered to pose explosion hazards when in unconfined and low- or medium-congested areas, as most of the areas within LNG regasification facilities can typically be classified. However, as the degrees of confinement and/or congestion increase, the potential exists for the ignition of a methane cloud to result in damaging overpressures (as demonstrated by the recurring residential explosions due to natural gas leaks). Therefore, it is prudent to examine a proposed facility’s design to identify areas where vapor cloud explosions (VCEs) may cause damage, particularly if the damage may extend off site.An area of potential interest for VCEs is the dock, while an LNG carrier is being offloaded: the vessel hull provides one degree of confinement and the shoreline may provide another; some degree of congestion is provided by the dock and associated equipment.In this paper, the computational fluid dynamics (CFD) software FLACS is used to evaluate the consequences of the ignition of a flammable vapor cloud from an LNG spill during the LNG carrier offloading process. The simulations will demonstrate different approaches that can be taken to evaluate a vapor cloud explosion scenario in a partially confined and partially congested geometry.     

Blast damage to storage tanks and steel clad buildings

The 2005 Buncefield vapour cloud explosion showed the huge cost associated with blast damage to commercial property surrounding a major explosion incident. In most cases there was serious disruption to business activity; in many cases the buildings had to be demolished or abandoned for long periods until extensive repairs were carried out.Another key feature of this and other recent vapour cloud explosions has been the damage done to storage tanks. The blasts almost invariably cause immediate top and bund fires in any tanks surrounded by the vapour – even if they contain relatively high flashpoint materials such as diesel.The first part of this paper describes the patterns of damage observed in buildings in the industrial estates around Buncefield. Methods for assessing the degree of external and internal damage are presented.The second part of the paper deals with failure modes and ignition of various types of liquid storage tank during vapour cloud explosions. Again, the Buncefield data provides excellent examples that illustrate the importance of tank design, fill level, location relative to the cloud, etc.     

铁路危险货物办理站点辐射力评价研究

铁路危险货物办理站点辐射力是铁路危险货物办理站点服务水平与能力的直接体现。本文概述了铁路危险货物办理站点辐射力评价指标,主要包括辐射半径、辐射厚度、基础设施与服务方式、不同运输方式替代性等,并以此构建了铁路危险货物办理站点辐射力评价指标体系,通过对四川省境内铁路危险货物办理站点辐射力进行实证研究,以为政府根据城市发展要求合理规划铁路危险货物办理站点、提高服务水平提供依据。