Coupled Monte Carlo simulation and Copula theory for uncertainty analysis of multiphase flow simulation models

Environmental Science and Pollution Research - Simulation-optimization techniques are effective in identifying an optimal remediation strategy. Simulation models with uncertainty, primarily in the...     

Removal of arsenic(III,V) by a granular Mn-oxide-doped Al oxide adsorbent: surface characterization and performance

In order to remove arsenic (As) from contaminated water, granular Mn-oxide-doped Al oxide (GMAO) was fabricated using the compression method with the addition of organic binder. The analysis results of XRD, SEM, and BET indicated that GMAO was microporous with a large specific surface area of 54.26 m^2/g, and it was formed through the aggregation of massive Al/Mn oxide nanoparticles with an amorphous pattern. EDX, mapping, FTIR, and XPS results showed the uniform distribution of Al/Mn elements and numerous hydroxyl groups on the adsorbent surface. Compression tests indicated a satisfactory mechanical strength of GMAO. Batch adsorption results showed that As(V) adsorption achieved equilibrium faster than As(III), whereas the maximum adsorption capacity of As(III) estimated from the Langmuir isotherm at 25 °C (48.52 mg/g) was greater than that of As(V) (37.94 mg/g). The As removal efficiency could be maintained in a wide pH range of 3~8. The presence of phosphate posed a significant adverse effect on As adsorption due to the competition mechanisms. In contrast, Ca²⁺ and Mg²⁺ could favor As adsorption via cation-bridge involvement. A regeneration method was developed by using sodium hydroxide solution for As elution from saturated adsorbents, which permitted GMAO to keep over 75% of its As adsorption capacity even after five adsorption–regeneration cycles. Column experiments showed that the breakthrough volumes for the treatment of As(III)-spiked and As(V)-spiked water (As concentration = 100 μg/L) were 2224 and 1952, respectively. Overall, GMAO is a potential adsorbent for effectively removing As from As-contaminated groundwater in filter application.

     

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.     

GIS罐体内部异物清理机器人的研发与应用

针对气体绝缘金属封闭开关设备( gas insulated switchgear, GIS)内部异物颗粒引起设备内部电场畸变,从而造成设备闪络故障问题,通过对异物颗粒的产生原因及影响因素进行分析,研制了一种GIS罐体内部异物颗粒清理机器人,实现了GIS设备内部可视化异物清理功能。应用结果表明:机器人检测不仅提高了750kV GIS内部缺陷检查的效率,而且保证了检测人员的安全,为GIS状态检修提供了有效技术支持。     

区域水环境系统脆弱性指标体系及综合决策模型研究

目前水环境系统脆弱性研究主要局限于水环境系统的单方面脆弱性研究,过于片面化,需要综合考虑水资源、水环境质量、旱涝灾害、社会经济以及生态环境等方面的脆弱性。根据水环境系统脆弱性是系统状态受到系统压力引起的敏感性以及系统状态对系统压力的适应性响应的观点,采用“压力-状态-响应”模式构建区域水环境系统脆弱性指标体系。区域水环境系统脆弱性研究中客观存在诸多不确定性,利用联系数描述上述不确定性过程中差异度系数在［-1,1］上取值仍存在不确定性,为此,构造三角模糊数刻画差异度系数取值的不确定性,给出三角模糊联系数的基本形式,取置信水平得出置信区间联系数,采用期望-方差排序法对置信区间联系数进行决策分析,建立基于三角模糊联系数的系统综合决策模型。此模型用于安徽省水环境系统脆弱性评价的结果表明,安徽省区域水环境系统脆弱等级介于［2.731 3.620］之间,脆弱性状况不容乐观,应采取相应措施改善区域水环境质量,降低区域水环境系统脆弱性,保障区域社会经济及生态环境的可持续发展     

青藏地区草原旅游生态负效益评价及其补偿研究

基于对玛曲草原的实地调查,评价青藏地区草原旅游业的生态负效益,分析旅游收益对生态负效益的补偿能力以及旅游生态负效益的补偿现状。研究表明：文化参与旅游模式的生态负效益补偿能力最强,其次是游览观光模式,再次是休闲度假模式;在旅游业实际运营中,旅游生态负效益并未得到有效补偿。建议通过以下途径形成青藏地区草原旅游业生态负效益补偿的保障机制：选择生态负效益小的旅游运营模式以降低旅游生态负效益补偿难度;建立旅游生态负效益补偿督促制度;提高旅游经营者的生态补偿意愿;落实资源集体所有制并让集体成员参与资源股分红以扩大旅游收益对减畜还草的促进作用;政府加大二次分配力度以将部分旅游收益用于生态修复;为旅游业受益增设减畜还草等生态建设附加条件     

厌氧折流板反应器处理石化剩余污泥

研究了厌氧折流板反应器(ABR)在厌氧消化处理石化剩余污泥启动过程中的性能及相关参数。实验结果表明:污泥挥发性固体含量的去除率达43.7%;反应器内pH维持在6.4~7.4;从启动到稳定运行,第一隔室最大比产甲烷活性变化不大,在0.14 L/(g·d)以下,第二、第三、第四隔室的最大比产甲烷活性在0.29 L/(g·d)以上,污泥在反应器内部实现了分级分相处理。     

南京大气细粒子中重金属污染特征及来源解析

利用2011年1月、4月、7月和10月在南京市区和北郊采集的气溶胶样品,研究了南京大气细粒子中zn、Ph、Hg、As和cd5种重金属的污染水平,通过元素相关性分析和因子分析方法,对细粒子中这些重金属的污染来源进行了初步解析。结果表明,南京大气细粒子及其重金属污染严重,北郊普遍比市区严重;As严重超标,cd在南京北郊超标约5倍,zn在市区与北郊的质量浓度均高于其他重金属元素。每种重金属的浓度均随季节而变化。市区细粒子中,As和zn可能主要与燃煤、轮胎灰尘和建筑扬尘等有关,Pb、Hg和cd主要来自交通尘、城市垃圾焚烧等。北郊细粒子中,As、Hg和zn主要来源于燃煤、钢铁冶炼等工业,Pb和cd主要与农作物秸秆燃烧、汽车尾气、道路扬尘等影响有关。     

混凝-超滤短流程工艺处理北方水库原水简

采用混凝-超滤膜短流程工艺对大伙房水库原水进行处理,考察其除污染性能和膜污染情况,并对该短流程工艺参数进行优化。结果表明,当利用超滤膜直接过滤原水时,膜污染较重,并且对污染物质的去除率较低;而采用混凝-超滤短流程工艺时,膜污染得到一定程度上的缓解;当絮凝剂投加量为7 mg/L、膜清洗周期为30 min时,对浊度、COD_Mn和UV₂₅₄的去除率分别为95.61%、40.42%和37.12%,出水水质能够满足生活饮用水卫生标准。     

Comprehensive Environmental Investigation at Former Industrial/Petroleum Underground Storage Tank Sites in Long Beach,CA: A Forensic Perspective

Two industrial sites were investigated based on years of available hydrogeologic information and monitoring data for soil and groundwater. Collected data were forensically evaluated using age-dating and fingerprinting methods. The previous business uses of the project sites were as a gas station, laundry/dry-cleaning service, and car wash with petroleum underground storage tanks (USTs). As a result, these sites were exposed to a number of toxic contaminants at relatively high concentrations. Source control was necessary for successful remediation and the ultimate removal of the remaining compounds from these industrial sites. Although contaminated soil around the source was excavated during the remedial action and the high concentrations of contaminants were reduced, typical groundwater contaminants such as petroleum hydrocarbons as gasoline (TPH-G), benzene, toluene, ethylbenzene, xylenes (BTEX), and oxygenates including methyl tert-butyl ether (MTBE), diisopropyl ether (DIPE), ethyl tert-butyl ether (ETBE), tert-amyl methyl ether (TAME), and tert-butyl alcohol (TBA) were persistently found at the studied sites around the source points. The plume and concentration of contaminants had changed their shapes and strength for all monitoring periods. Thus, additional source control seems to be a requirement for the complete removal of source contamination, which must be ascertained with groundwater and soil monitoring on a regular time base. For the study sites, monitored natural attenuation was relatively feasible for the long-term plan; however, it did not offer a perfect remediation solution for an ultimate goal because of residual toxic compounds that might have affected the surrounding residential areas at higher concentrations than their health limits. Therefore, as a remediation strategy, the combination of clean-up technology and natural attenuation with monitoring activities are more highly recommended than either clean-up or natural attenuation used separately.