Analysis of the Trend and Seasonal Cycle of Carbon Monoxide Concentrations in an Urban Area (4 pp)

Background, Aim and Scope Air quality is an field of major concern in large cities. This problem has led administrations to introduce plans and regulations to reduce pollutant emissions. The analysis of variations in the concentration of pollutants is useful when evaluating the effectiveness of these plans. However, such an analysis cannot be undertaken using standard statistical techniques, due to the fact that concentrations of atmospheric pollutants often exhibit a lack of normality and are autocorrelated. On the other hand, if long-term trends of any pollutant’s emissions are to be detected, meteorological effects must be removed from the time series analysed, due to their strong masking effects. Materials and Methods The application of statistical methods to analyse temporal variations is illustrated using monthly carbon monoxide (CO) concentrations observed at an urban site. The sampling site is located at a street intersection in central Valencia (Spain) with a high traffic density. Valencia is the third largest city in Spain. It is a typical Mediterranean city in terms of its urban structure and climatology. The sampling site started operation in January 1994 and monitored CO ground level concentrations until February 2002. Its geographic coordinates are W0°22′52″ N39°28′05″ and its altitude is 11 m. Two nonparametric trend tests are applied. One of these is robust against serial correlation with regards to the false rejection rate, when observations have a strong persistence or when the sample size per month is small. A nonparametric analysis of the homogeneity of trends between seasons is also discussed. A multiple linear regression model is used with the transformed data, including the effect of meteorological variables. The method of generalized least squares is applied to estimate the model parameters to take into account the serial dependence of the residuals of this model. This study also assesses temporal changes using the Kolmogorov-Zurbenko (KZ) filter. The KZ filter has been shown to be an effective way to remove the influence of meteorological conditions on O₃ and PM to examine underlying trends. Results The nonparametric tests indicate a decreasing, significant trend in the sampled site. The application of the linear model yields a significant decrease every twelve months of 15.8% for the average monthly CO concentration. The 95% confidence interval for the trend ranges from 13.9% to 17.7%. The seasonal cycle also provides significant results. There are no differences in trends throughout the months. The percentage of CO variance explained by the linear model is 90.3%. The KZ filter separates out long, short-term and seasonal variations in the CO series. The estimated, significant, long-term trend every year results in 10.3% with this method. The 95% confidence interval ranges from 8.8% to 11.9%. This approach explains 89.9% of the CO temporal variations. Discussion The differences between the linear model and KZ filter trend estimations are due to the fact that the KZ filter performs the analysis on the smoothed data rather than the original data. In the KZ filter trend estimation, the effect of meteorological conditions has been removed. The CO short-term componentis attributable to weather and short-term fluctuations in emissions. There is a significant seasonal cycle. This component is a result of changes in the traffic, the yearly meteorological cycle and the interactions between these two factors. There are peaks during the autumn and winter months, which have more traffic density in the sampled site. There is a minimum during the month of August, reflecting the very low level of vehicle emissions which is a direct consequence of the holiday period. Conclusions The significant, decreasing trend implies to a certain extent that the urban environment in the area is improving. This trend results from changes in overall emissions, pollutant transport, climate, policy and economics. It is also due to the effect of introducing reformulated gasoline. The additives enable vehicles to burn fuel with a higher air/fuel ratio, thereby lowering the emission of CO. The KZ filter has been the most effective method to separate the CO series components and to obtain an estimate of the long-term trend due to changes in emissions, removing the effect of meteorological conditions. Recommendations and Perspectives Air quality managers and policy-makers must understand the link between climate and pollutants to select optimal pollutant reduction strategies and avoid exceeding emission directives. This paper analyses eight years of ambient CO data at a site with a high traffic density, and provides results that are useful for decision-making. The assessment of long-term changes in air pollutants to evaluate reduction strategies has to be done while taking into account meteorological variability     

大气环境数据分析预测方法对比研究

以西安市2006年9月27日至2008年5月3日每日的SO2平均浓度时间序列为例,应用时间序列分析对前555个数据进行拟合,得到合适的时间序列模型ARIMA(1,1,2);利用神经网络中的BP神经网络和RBF神经网络对同样的样本进行训练,用这三种方法对2008年4月4日至2008年5月3日的SO2日均浓度值进行了预测,并用同样的方法分析预测了同期PM10日均浓度值,最后比较了它们的预测效果。结果表明,利用这三种方法进行浓度预测都是可行的,其中RBF神经网络法的预测误差最小,效果最好。     

湖北丹江口水库主要离子化学季节变化及离子来源分析

2004～2006年对丹江口水库中的5个点位水质的 t 、pH、EC、TDS、ORP、SO^2-₄、Cl^-、NO^-₃、HCO^-₃、Ca²⁺、Mg²⁺、Na⁺、K⁺和Si进行了测定.综合运用方差分析及主成分分析对它们的季节变化及其来源进行了研究.结果表明,丹江口库区水体呈弱碱性,属于弱矿化度水,水质类型为HCO^-₃-Ca型水.主要阴、阳离子浓度范围为：Cl^-,（4.0±0.5～6.9±1.8）mg·L^-1;NO^-₃,（4.6±0.9～6.8±1.7）mg·L^-1;SO^2-₄,（24.3±2.7～35.4±6.9） mg·L^-1;HCO^-₃,（133.0±11.7～153.5±29.6）mg·L^-1;Na⁺,（2.0±0.3～5.3±1.0）mg·L^-1;K⁺,（0.7±0.09～1.6±0.7） mg·L^-1;Ca²⁺,（33.0±2.1～46.6±0.8）mg·L^-1;Mg²⁺,（8.0±2.5～10.5±3.2）mg·L^-1.方差分析显示除HCO^-₃和Si外,t、pH、EC、TDS、ORP、SO^2-₄、Cl^-、NO^-₃、Na⁺、K⁺、Ca²⁺、Mg²⁺都表现出了显著的季节性差异,主要离子化学汛期浓度均小于对应的非汛期浓度.Na⁺和Mg²⁺的浓度只表现出秋汛<秋季,NO^-₃和SO^2-₄浓度却呈现出秋汛>秋季,这主要归因于降雨的大气沉降对水化学的贡献不同.HCO^-₃占主要阴离子的75%～88%,Ca²⁺和碱土金属分别占主要阳离子的60%～80%和87%～96%,表明碳酸盐岩风化是水体质子的主要来源及主要化学风化类型.参照我国及世界卫生组织饮用水标准,主要离子的浓度并未对人体产生危害.     

镇江市大气环境承载力研究

根据前人对大气环境容量和环境承载力计算的对比分析,计算2012年镇江市的大气环境容量和大气环境承载力指数,通过对该市的气象条件和地理位置的分析,选取SO_2、NO_x和PM_(10)这3种主要大气污染物,并分析其环境承载状况。结果表明:句容市、丹阳市、杨中市处于高承载的状态,临界超载、严重超载和超载的3个区分别是润州区、京口区和镇江新区,针对这3个区提出相应改进措施。     

Role of water chemistry on estrone removal by nanofiltration with the presence of hydrophobic acids

Hydrophobic acid organic matter (HpoA) extracted from treated effluent has been known to improve the rejection of steroid hormone estrone by reverse osmosis (RO) and nanofiltration (NF) membranes. In this study, the effects of solution chemistry (solution pH and ionic strength) on the estrone rejection by NF membrane with the presence of HpoA were systematically investigated. Crossflow nanofiltration experiments show that the presence of HpoA significantly improved estrone rejection at all pH and ionic strength levels investigated. It is consistently shown that the “enhancement effect” of HpoA on estrone rejection at neutral and alkaline pH is attributed to the binding of estrone by HpoA macromolecules via hydrogen bonding between phenolic functional groups in feed solutions, which leads to an increase in molecular weight and appearance of negative charge. The membrane exhibited the best performance in terms of estrone rejection at pH 10.4 (compared to pH 4 and pH 7) as a result of strengthening the electrostatic repulsion between estrone and membrane with the presence of HpoA. At neutral pH level, the ability of HpoA macromolecules to promote estrone rejection became stronger with increasing ionic strength due to their more extended conformation, which created more chances for the association between estrone and HpoA. The important conclusion of this study is that increasing solution pH and salinity can greatly intensify the “enhancement effect” of HpoA. These results can be important for NF application in direct/indirect potable water reuse.     

炼焦过程挥发性有机物排放特征及其大气化学反应活性

利用不锈钢采样罐和全自动预浓缩/GC/MS系统,在58-Ⅱ型和JN43-80型焦炉顶测试了炼焦过程中挥发性有机物(VOCs)中各组分的浓度,研究了VOCs排放特征,结合OH自由基消耗速率分析了这些物质的反应活性.研究发现,在装煤时刻和炼焦过程中,58-Ⅱ型焦炉产生的总挥发性有机物(TVOCs)浓度分别为7022 μg·m-3和6266μg·m-3;JN43-80型焦炉产生的TVOCs浓度分别为4185 μg·m-3和3298μg·m-3.装煤时刻产生的TVOCs浓度明显高于炼焦过程产生的.炼焦过程(包括装煤时刻)无组织排放的VOCs,包含烯烃、烷烃、芳香烃、卤代烃以及少量的醛和酮,其中乙烯、乙烷、丙烯、苯以及甲苯等为主要成分.这些产生的VOCs反应活性各不相同,活性最大的是烯烃类物质.其活性占TVOCs反应活性比重为86.2%±2.1%;其次是芳香烃类物质,其活性比重为9.2%±3.1%;反应活性最大的5个物种分别是丙烯、乙烯、1,3-丁二烯、1-丁烯以及苯乙烯.     

土壤重金属的植物污染化学研究进展

针对中国土壤重金属污染加剧的趋势,为改善土壤环境质量和保障农产品安全,提出了土壤重金属的植物污染化学研究领域.结合多年的研究工作,从土壤重金属的植物根际化学行为、土壤重金属的植物吸收与解毒机制和重金属污染土壤的植物-微生物交互作用等方面简要阐述了土壤-植物系统中重金属的分布、存在形态、迁移转化、累积及生物学效应和控制规律的研究进展,并对将来的植物污染化学理论研究提出了展望.     

威海市夏季臭氧及大气氧化性特征分析

威海市属于我国北方典型沿海城市,近年来的持续观测发现夏季易出现臭氧（O₃）污染。以2023年夏季观测数据为约束,利用零维盒子模式分析威海市夏季O₃及大气氧化性特征,给出O₃污染防治的建议。2023年5月30日—6月30日,威海市污染天的首要污染物是O₃,烷烃是挥发性有机物（VOCs）中浓度占比最高的组分,烯烃则是活性占比最高的组分。从清洁日到污染日烯烃活性增强最显著,O₃的化学生成和大气氧化性在污染日均有增加,促进了二次污染过程的发生。威海夏季大气氧化性水平较强,O₃对前体物的敏感区处于氮氧化物（NO _x ）和VOCs的过渡区,O₃污染防控需结合NO _x 和VOCs进行协同防控。O₃对前体物烯烃减排的变化最敏感,因此其污染防控过程需结合VOCs反应活性开展。基于威海市夏季观测数据分析O₃及大气氧化性特征,从O₃敏感性区域变化及VOCs反应活性角度为O₃污染防治策略提供了思路。     

Prevention of an atmospheric storage tank bund failure

Secondary containment (bunds, drip trays, interceptors/sumps) is an integral part of many chemical, petrochemical, as well as agricultural, food and pharmaceutical facilities. Bunds are the built-in cases for accidental liquid substance spillage where there is a hazard that a substance could leak into the surroundings and the potential of health or environmental damage. The authors focus on the cases installed in large-volume atmospheric tanks storing hazardous chemicals in liquid form, where the bund failure occurred. In the first part of the study, a database of these accidents was created, numbering a total of 15 items. Attention was paid to the course of the accident, its causes and consequences. Several basic representative scenarios of bund failure have also been developed. The second part of the study is devoted mainly to the measures against the bund failure, such as risk assessment, technical and organizational measures. The aim of this study is to provide readers (including experts in the field of safety engineering, maintenance experts and building designers) with the information that can subsequently be used in the risk assessment of bund failure, possibly also for planning the construction of new bunds, or revitalization and maintenance of the existing ones.     

大坝拦截对河流水溶解组分化学组成的影响分析——以夏季乌江渡水库为例

以乌江渡水库为主要研究对象,揭示了大坝拦截条件下的夏季水化学特征：阴离子以HCO-3,SO2-4为主,阳离子以Ca2+,Mg2+为主,其余离子含量低于10%,说明了碳酸盐岩的风化对水体化学组成起到了主要控制作用,蒸发盐岩石的风化对水体化学组成影响较小。水库水体存在温度分层现象,形成了不同层位的水体有着不同的水化学组成,即水化学分层。水化学的分层形成了溶解组分在水库垂直深度上的规律分布,比如受藻类的影响,Si和叶绿素随深度成相反的变化特征;HCO-3受光合作用和有机质降解的影响,30 m 以上随着水深的增加而递增,30 m 以下呈现相反趋势;水库泄水方式明显改变了水化学各种参数和离子在水体中的分配。乌江水库两主要支流（息烽河和偏岩河）分别对乌江渡坝前水体中的Ca2+,SO2-4,HCO-3,Mg2+和K+,Na+,Cl-有贡献。网箱养鱼、生活污水、农业施肥、酸性矿山废水以及酸雨沉降都会对水体造成不同程度的污染。