SELECTING TREND TESTS FOR WATER QUALITY SERIES WITH SERIAL CORRELATION AND MISSING VALUES1

ABSTRACT: The use of nonparametric tests for monotonic trend has flourished in recent years to support routine water quality data analyses. The validity of an assumption of independent, identically distributed error terms is an important concern in selecting the appropriate nonparametric test, as is the presence of missing values. Decision rules are needed for choosing between alternative tests and for deciding whether and how to pre-process data before trend testing. Several data pre-processing procedures in conjunction with the Mann-Kendall tau and the Seasonal Kendall test (with and without serial correlation correction) are evaluated using synthetic time series with generated serial correlation and missing data. A composite test (pre-testing for serial correlation followed by one of two trend tests) is evaluated and was found to perform satisfactorily.     

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     

河流枯水流量特征研究

本文以泾、洛、渭三河流干流在陕西境内的主要控制断面为例,分析了１４个时段枯水流量的概率分布特征,选定了理论分布线型,揭示了各枯水序列的时段平均流量均值、变差系数和偏态系数的变化规律,建立了推求不同频率不同时段的枯水流量的经验公式。绘制了相应的关系曲线,应用十分方便。     

昆明西山土壤—植物系统Fe,Mn,Ni分布特征

本文利用统计分析和吸收系数描述了昆明西山土壤－植物系统中Ｆｅ，Ｍｎ，Ｎｉ分布特征。结果表明，受试植物在土壤－植物系统中对Ｎｉ元素均表现出相对的稀释和绥冲作用；对Ｍｎ元素，除了菊科夏田菊，山紫金子和牛旁外，均表现出相对富集作用。     

近十年中国民航事故及事故征候的统计分析

对1996—2005年我国民航发生的32起事故及1147起事故征候进行统计分析,其结果表明:我国民航事故和事故征候的万架次率及万时率均呈下降态势,机组、机械和机务原因是我国民航事故和事故征候的主要原因,事故征候的主要类型是鸟击、空中停车、偏出/冲出跑道/场外接地,事故征候发生阶段依次为巡航、起飞、着陆、爬升和进近。该研究成果有助于寻找事故和事故征候成因和规律。明确安全管理重点和难点;采取有效的预警和预控对策。     

Hot Spots of Perforated Forest in the Eastern United States

National assessments of forest fragmentation satisfy international biodiversity conventions, but they do not identify specific places where ecological impacts are likely. In this article, we identify geographic concentrations (hot spots) of forest located near holes in otherwise intact forest canopies (perforated forest) in the eastern United States, and we describe the proximate causes in terms of the nonforest land-cover types contained in those hot spots. Perforated forest, defined as a 0.09-ha unit of forest that is located at the center of a 7.29-ha neighborhood containing 60–99% forest with relatively low connectivity, was mapped over the eastern United States by using land-cover maps with roads superimposed. Statistically significant (P < 0.001) hot spots of high perforation rate (perforated area per unit area of forest) were then located by using a spatial scan statistic. Hot spots were widely distributed and covered 20.4% of the total area of the 10 ecological provinces examined, but 50.1% of the total hot-spot area was concentrated in only two provinces. In the central part of the study area, more than 90% of the forest edge in hot spots was attributed to anthropogenic land-cover types, whereas in the northern and southern parts it was more often associated with seminatural land cover such as herbaceous wetlands.     

100起CNG加气站事故的统计分析及对策研究

本文统计了100起CNG加气站典型事故案例,从事故发生的位置、事故类型和事故损失等方面,分析了CNG加气站事故的特点。总结了CNG加气站存在的主要安全问题：CNG气质问题、高压储气容器安全问题、CNG汽车气瓶问题、压缩机问题和售气系统安全问题。并提出了保证加气站安全运行的对策措施：提高加气机安全、提高储气系统质量、解决CNG汽车气瓶问题、提高压缩机质量、提高CNG加气站气质、加强加气站的安全管理。售气系统、高压储气系统、天然气压缩系统是较为危险的系统,应对其进行重点管理。     

我国危险化学品事故统计分析及对策研究

基于2005—2008年我国发生的1565起危险化学品事故,从事故发生时间、发生地点、发生环节等方面分析事故的致因、特点以及规律,可以发现:近3年来我国危险化学品事故呈逐渐下降趋势;石化产业大省是危险化学品事故高发省份;每年3—8月是危险化学品事故高发时期;每天上午10点和下午3点是危险化学品事故高发时间;生产、运输、储存是危险化学品产业链六大环节中的事故高发环节。根据统计结果分析,指出我国危险化学品安全管理存在的问题,并提出预防和减少危险化学品事故的对策。     

昆明市城中村火灾事故统计分析

城中村是中国快速城市化进程中的一个普遍现象,由于缺乏统一规划和专门管理,城中村的高火灾风险成为当前面临的重要问题并得到社会各界关注.为获得昆明市城中村火灾的特点和规律,从2004-2006年昆明市火灾统计记录中区分出城中村和非城中村火灾数据,在此基础上采用Bayes统计分析城中村不同用途建筑物的火灾发生概率及概率比例.结果表明,相比城中村其他用途的建筑,居住用房火灾概率较低,而具有生产和加工性质的行业作坊、易燃易爆场所和娱乐场所的火灾概率较高,分别是居住用房的48倍、26倍和18倍.进一步采用火灾原因-场所关联对比分析了城中村和非城中村火灾的特点.从火灾发生场所看,与非城中村相比,城中村居住场所火灾发生比例高7.2%,路边可燃物高88.8%,木材、家具加工厂高184.8%,易燃易爆场所高521.4%; 从火灾原因看,城中村电气、电线短路致灾比例高1 2%,限制行为能力人(小孩和精神病人)致灾比例高65 1%,燃放烟花爆竹致灾比例高3.5%,吸烟致灾比例高50.9%,违章操作致灾比例高59.0%.这些差异基本上反映了城中村的主要外在特征,这些外在特征经城中村实地调研得到证实.     

欧盟环境产业统计方法的经验及启示

欧盟环境产业起步较早,目前已经有较成熟的体系与统计方法。本文对比我国环境产业统计的现状,剖析了欧盟环境产业统计方法的优点。建议我国应迅速出台既满足国际化要求,又合乎我国环境产业实际情况的环境产业定义;完善统计法律规章实现统计问责;建立环境统计电子数据库;公开政府预算信息;并鼓励政府部门、产业协会、研究机构和企业多方合作进行统计以实现对我国环境产业的战略指导。