Assessing Spatial, Temporal, and Analytical Variation of Groundwater Chemistry in a Large Nuclear Complex, USA

Statistical analyses were applied at the Hanford Site, USA, to assess groundwater contamination problems that included (1) determining local backgrounds to ascertain whether a facility is affecting the groundwater quality and (2) determining a ‘pre-Hanford' groundwater background to allow formulation of background-based cleanup standards. The primary purpose of this paper is to extend the random effects models for (1) assessing the spatial, temporal, and analytical variability of groundwater background measurements; (2) demonstrating that the usual variance estimate s ², which ignores the variance components, is a biased estimator; (3) providing formulas for calculating the amount of bias; and (4) recommending monitoring strategies to reduce the uncertainty in estimating the average background concentrations. A case study is provided. Results indicate that (1) without considering spatial and temporal variability, there is a high probability of false positives, resulting in unnecessary remediation and/or monitoring expenses; (2) the most effective way to reduce the uncertainty in estimating the average background, and enhance the power of the statistical tests in general, is to increase the number of background wells; and (3) background for a specific constituent should be considered as a statistical distribution, not as a single value or threshold. The methods and the related analysis of variance tables discussed in this paper can be used as diagnostic tools in documenting the extent of inherent spatial and/or temporal variation and to help select an appropriate statistical method for testing purposes.     

遥感技术在水生态环境管理的应用与前景

随着遥感数据源的不断丰富,遥感技术不断提高,可以解决越来越多的水环境问题。指出了当前水生态环境管理方面的主要需求,结合目前遥感技术的发展,对国内外的水环境遥感研究进展进行综述。以湖泊富营养化监测与评估、核电站温排水遥感监测及城市黑臭水体遥感监测为案例,具体阐述遥感在水环境管理中的应用方法及成效。未来水生态环境管理发展趋势将以水污染防治为主向水污染防治和水生态修复与保护并重发展。基于此趋势,提出遥感在水生态修复的应用潜力,利于更多地方部门积极有效应用遥感技术,解决水生态环境问题。     

Modeling of air quality with a modified two-dimensional Eulerian model： A case study in the Pearl River Delta （PRD） region of China

A modified two-dimensional Eulerian air quality model was used to simulate both the gaseous and particulate pollutant concentrations during October 21-24, 2004 in the Pearl River Delta （PRD） region, China. The most significant improvement to the model is the added capability to predict the secondary organic aerosols （SOA） concentrations because of the inclusion of the SOA formation chemistry. The meteorological input data were prepared using the CALMET meteorological model. The concentrations of aerosol-bound species such as NO3^-, NH4^＋, SO4^2-, and SOA were calculated in the fine particle size range （〈2.5 μm）. The results of the two-dimensional model were compared to the measurements at the ground level during the PRD Intensive Monitoring Campaign （IMC）. Overall, there were good agreements between the measured and modeled concentrations of inorganic aerosol components and O3. Both the measured and the modeled results indicated that the maximum hourly O3 concentrations exceeded the China National Air Quality Standard. The predicted 24-h average SOA concentrations were in reasonable agreement with those predicted by the method of minimum OC/EC ratio.     

上海化学工业区污水处理厂废气中挥发性有机物主要成分的测定

建立了使用活性炭管采集臭气中的挥发性有机物,经二硫化碳解吸,用GC-MS仪Scan扫描方式确定挥发性有机物的组分后优化GC-MS条件定性定量分析上海化学工业区污水处理厂臭气中主要挥发性有机物的方法。结果表明,从臭气中检测出11种VOCs,线性相关系数R2均大于0.99,相对标准偏差为3.0%～4.7%,除了苯乙烯、α-甲基苯乙烯和4-甲基苯乙烯的解吸效率依次分别为72%、74%和66%,其他挥发性有机物的解吸效率均为91%～100%。本方法操作简便,能够有效分离和准确测定臭气中挥发性有机物,具有较低的检出限和较好的精确度,适合臭气中挥发性有机物的检测分析,可为臭气控制提供可靠的数据。     

石化装置安全仪表系统KooN表决结构的误跳车率定量分析

为了更准确量化安全仪表系统的误跳车率,基于联锁回路SIF中传感器、逻辑解算器、执行机构引发误跳车的不同失效机理和模型,考虑共因失效对误跳车率的影响,提出1种更符合实际并适用于异型KooN结构的新子系统误跳车率计算模型（STR of Non-identical Redundant System,SNRS）。针对SIF回路的误跳车率计算,建立了1种分析安全联锁SIF回路误跳车率（Reliability based Spurious Trip,RST）的计算框架。研究结果表明:以某聚丙烯装置第三反应器保护系统为例,将SNRS和RST方法与目前主流的多种计算方法进行数值计算对比,验证了方法的有效性,能够有效进行定量分析。     

炼油厂厂界恶臭强度分级评估

石油炼制是产生恶臭污染的重点行业之一,恶臭强度是评估恶臭污染程度的重要参数。以炼油厂厂界大气特征污染物为研究对象,综合考虑检出率、嗅阈值和物质浓度3项指标,采用指标评分法筛选出厂界主要恶臭污染物硫化氢、氨、甲苯和二甲苯。基于韦伯-费希纳定律构建了恶臭强度分级评估方法,以某炼油厂为例进行了厂界恶臭强度评估,结果表明,厂界恶臭强度值为0.63,属于Ⅱ级(轻污染),硫化氢是恶臭强度的主要贡献源。应用感官测定法验证了该评估方法的可靠性。从恶臭管理的角度看,炼油厂在厂界达标排放的基础上应进一步实施恶臭污染综合治理措施,以改善周边的环境质量。     

炼油恶臭污染治理技术在中国石化天津分公司的应用实例

简述了炼油装置区恶臭污染源的主要分布、恶臭气体组成和排放规律,介绍了恶臭治理的基本方法。通过治理实例,重点分析了目前常用的吸收法、燃烧法、生物法和吸附法等恶臭治理技术的优势和相对不足,并对恶臭治理应用技术方案的选择提出建议。     

高气速间歇式生物过滤去除高负荷H2S

采用生物过滤法,以鸡粪堆肥和PE混合物为填料,在高气速条件下间歇式处理高负荷H2S废气。空床停留时间为20、15、10、6.7和5 s时,入口浓度3 000 mg/m3下的平均去除率分别为100%、100%、96.5%、89.2%和90.5%。高气速EBRT为5 s时,高入口负荷2 147 g/(m3.h)时的去除负荷为2 023 g/(m3.h),去除率达94%。采用Michaelis-Ment-en模型进行生物降解宏观动力学研究,其中Ks为550 mg/m3,Vm为6.8×104g/(m3.d)。结果表明,在实验温度17～24℃,湿度30%～50%下,生物过滤法间歇式处理高气速高负荷H2S的去除性能好。     

Pseudomonas sp.fz胞外分离物降解四溴双酚A

四溴双酚A(TBBPA)是全球消耗量最大的溴系阻燃剂。通过活性物质的定位、分离和TBBPA产物的分析等步骤,对Pseudomonas sp.fz胞外分离物降解TBBPA进行了研究。结果表明,存在于胞外的活性物质通过异丙基断裂和脱溴两条途径降解TBBPA。通过超滤,Sephadex G-10分离纯化得到了具有降解活性的小分子物质,分子量约为376~456 Da,初步鉴定为短肽类物质。这种小分子物质具有很好的热稳定性(30~80℃),在弱酸性条件下(2.0~5.0)活性较高,其活性还受金属离子、氧气和抑制剂(Na N3)的影响。此外,部分纯化的小分子物质在一定条件下能够产生羟基自由基(·OH)。     

Water-soluble matter in PM2.5 in a coastal city over China: Chemical components, optical properties, and source analysis

Although marine and terrestrial emissions simultaneously affect the formation of atmospheric fine particles in coastal areas, knowledge on the optical properties and sources of water-soluble matter in these areas is still scarce. In this work, taking Qingdao, China as a typical coastal location, the chemical composition of PM_2.5 during winter 2019 was analyzed.Excitation-emission matrix fluorescence spectroscopy was combined with parallel factor analysis model to explain the component...