长江三角洲城市群空气质量时空分布特征

基于数理统计、空间插值技术、相关性分析与GIS地图表达,研究长江三角洲城市群AQI及各空气含量因子污染浓度的时间、空间分布特征。通过提取国务院最新规划的长江三角洲城市群空间分布数据,划分研究区为"一核五圈",探讨了空气质量指数的时间变化特征和AQI、首要污染物的空间分布规律,定量评价了AQI与其污染因子的相关性,结果表明:(1)时间变化上,长三角城市群空气质量季均变化规律为夏季最好,冬季最差;月均变化呈波浪形分布,在1月份的平均浓度皆为最高;周均变化为:在一周后半段达到一周最大值;(2)空间分布上,分季节看,AQI在春、秋、冬三季空间梯度变化显著,呈现北高、南低的分布格局。在首要污染物的分布上,以PM_(2.5)和O_3均分长三角地区;(3)PM_(2.5)含量空间分布与AQI有较高相似性,均处于北高南低的分布状态,臭氧分布呈现东高西低,即较发达的城市臭氧含量相对较高的空间分布格局。最后通过相关性计算,AQI与PM_(2.5)相关性显著,与O_3没有明显相关性,为长三角大气污染防治提供依据。     

长三角城市群臭氧浓度的时空分异及驱动因素

运用克里金插值、空间自相关分析、冷热点分析和地理探测等定量分析方法，对长三角城市群2015~2017年O3浓度的时空分异特征及驱动因素进行了探讨。结果表明：（1）2015~2017年长三角城市群O3浓度呈上升趋势，O3日最大8 h滑动平均值第90百分位数平均浓度由149 μg/m3上升到166 μg/m3，平均超标率由9.3%上升到12.1%，以O3为首要污染物的天数占超标总天数的比例由32.3%上升到46.4%。（2）受气温和降水量年际波动的影响，各年份O3月均浓度变化曲线形状不同。但O3超标都主要发生在4~9月，超标天数分别占2015、2016、2017年的88.3%、98.2%和97.0%。（3）由于安徽O3浓度快速上升，长三角城市群O3浓度空间分布格局由东高西低演变为北高南低，且同质化增强、异质性减弱。（4）随着O3浓度的上升，O3浓度热点区由环太湖地区向南京都市圈扩展，冷点区在安徽有明显收缩。（5）地理探测表明，长三角城市群O3浓度空间分异主要受经济规模、城市化和排放源等社会经济因素驱动，且均呈正向影响。自然因素中的降水量和风速呈负向影响，分别对O3有显著的清除和扩散作用。     

The use of ambient air quality modeling to estimate individual and population exposure for human health research: a case study of ozone in the Northern Georgia Region of the United States

Ambient monitors are commonly used to estimate exposure for epidemiological studies, and air quality modeling is infrequently applied. However air quality modeling systems have the potential to alleviate some, although not all, of the limitations of monitoring networks. To investigate this application, exposure estimates were generated for a case study high ozone episode in the Northern Georgia Region of the United States based on measurements and concentration estimates from an air quality modeling system. Hourly estimates for 2268 4-km by 4-km gridcells were generated in a domain that includes only eight ozone monitors. Individual and population-based ozone exposures were estimated using multiple approaches, including area-weighted average of modeled estimates, nearest monitor, and spatial interpolation by inverse distance weighting and kriging. Results based on concentration fields from the air quality modeling system revealed spatial heterogeneity that was obscured by approaches based on the monitoring network. With some techniques, such as spatial interpolation, monitoring data alone was insufficient to estimate exposure for certain areas, especially for rural populations. For locations far from ozone monitors, the estimates from the nearest monitor approach tended to overestimate exposure, compared to modeled estimates. Counties in which one or more monitors were present had statistically higher population density and modeled ozone estimates than did counties without monitors (p-value <0.05). This work demonstrates the use of air quality modeling to generate higher spatial and temporal resolution exposure estimates, and compares the advantages of this approach to traditional methods that use monitoring data alone. The air quality modeling method faces its own limitations, such as the need to thoroughly evaluate concentration estimates and the use of ambient levels rather than personal exposure.     

Comparison of temporal and Spatial Characteristics of Ozone Pollution at Ground Level in the Eastern China

Abstract

Monitoring data from ozone(O₃ automatic stations in three typical cities with different climatic areas in the southern and northern parts of eastern China are used to analyze temporal and spatial characteristics of ozone pollution at ground level. The results show that ozone pollution level has distinct regional differences and the concentration in the suburbs is higher than that in the urban areas. The seasonal variation of ozone concentration in different climatic areas is greatly affected by the variation of precipitation. Ozone concentration in Shenyang and Beijing, in the temperate zone, has one perennial peak concentration, occurring in early summer, May or June. Ozone concentration in Guangzhou, in sub-tropical zone, has two peak values year round. The highest values occur in October and the secondary high value in June. The ozone season in the south is longer than that in the north. The annual average daily peak value of ozone concentrations in different climates usually occur around 3 pm. The diurnal variation range of ozone concentration declines with the increase of latitude. Ozone concentration does not elevate with the increase of traffic flow. Ozone concentration in Guangzhou has a distinct reverse relation to CO and NO_x. This complicated non-linearity indicates that the equilibrium of ozone photochemical reaction has regional differences. Exceeding the rate of Beijing's 1h ozone concentration is higher than that of Guangzhou, whereas the average 8h ozone level is lower than that of Guangzhou, indicating that areas in low latitude are more easily affected by moderate ozone concentrations and longer exposure. Thus, China should work out standards for 8h ozone concentration.     

Volatile organic compounds concentrations in residential indoor and outdoor and its personal exposure in Korea

To date, personal volatile organic compounds (VOCs) exposure and residential indoor and outdoor VOCs levels have not been characterized in Korea. In this study, residential indoor and outdoor VOCs concentrations were measured and compared simultaneously with the personal exposure for each of 30 participants in a medium city, Asan, and in a metropolitan city, Seoul. Factors that influence personal VOCs exposures were assessed in relation to house characteristics and time activity information. All VOC concentrations were measured using passive samplers during a 24-h period and analyzed using GC-MS. Ten target VOCs were benzene, trichloroethylene, toluene, o-xylene, p-xylene, ethylbenzene, MIBK, n-octane, styrene, and 1,2-dichlorobenzene. Residential indoor and outdoor VOCs concentrations measured in Seoul were significantly higher than those in Asan. Indoor/outdoor (I/O) ratios for all target compounds ranged from 0.94 to 1.51 and I/O ratios of Asan were a little higher than those of Seoul. Results indicate that time activity information can be used to predict personal exposures, although such predictions will result in an over estimation compared to measured exposures. Factors which influence the indoor VOCs level and its personal exposure in relation to house characteristics included house age, indoor smoking, and house type.     

Comparison of temporal and Spatial Characteristics of Ozone Pollution at Ground Level in the Eastern China

Monitoring data from ozone（O3） automatic stations in three typical cities with different climatic areas in the southern and northern parts of eastern China are used to analyze temporal and spatial characteristics of ozone pollution at ground level. The results show that ozone pollution level has distinct regional differences and the concentration in the suburbs is higher than that in the urban areas. The seasonal variation of ozone concentration in different climatic areas is greatly affected by the variation of precipitation. Ozone concentration in Shenyang and Beijing , in the temperate zone, has one perennial peak concentration, occurring in early summer, May or June. Ozone concentration in Guangzhou, in sub-tropical zone, has two peak values year round. The highest values occur in October and the secondary high value in June. The ozone season in the south is longer than that in the north. The annual average daily peak value of ozone concentrations in different climates usually occur around 3 pm. The diurnal variation range of ozone concentration declines with the increase of latitude. Ozone concentration does not elevate with the increase of traffic flow. Ozone concentration in Guangzhou has a distinct reverse relation to CO and NOx. This complicated non-linearity indicates that the equilibrium of ozone photochemical reaction has regional differences. Exceeding the rate of Beijing＇s lh ozone concentration is higher than that of Guangzhou, whereas the average 8h ozone level is lower than that of Guangzhou, indicating that areas in low latitude are more easily affected by moderate ozone concentrations and longer exposure. Thus, China should work out standards for 8h ozone concentration.     

上海城区典型臭氧浓度偏低年的成因分析

利用2006~2010年上海徐家汇、崇明、宝山、金山和浦东5个监测站的臭氧资料,分析了上海地区不同功能区臭氧的浓度特征及年际变化特征。结果表明：2006年上海地区臭氧平均浓度是这5 a的最低值,以徐家汇和浦东两个站臭氧浓度年际差异最为明显。2006年各站春末和夏季的臭氧浓度明显低于其他年份,而秋冬季臭氧浓度却差别不大。以徐家汇地区为例的综合分析表明,天气状况、日照时数、温度和风速等气象要素不是造成2006年上海城区臭氧浓度偏低的原因,臭氧前体物（VOCs和NOx）才是造成这种现象的主要原因。2006年4~8月NOx和VOCs浓度明显偏低,典型臭氧日变化情况下2006年VOCs/NOx比值较小,平均值为1.22,比2007、2008年低了近65%,而O3的生产率也分别减少了65%和59%。OZIPR模式的结果也表明较低的VOCs浓度以及VOCs/NOx比值,是导致2006年上海城区臭氧浓度偏低的主要原因     

成都都市圈县域经济时空差异及空间结构演变

区域经济空间结构和区域经济差异历来是国内外学者关注的热点问题。在特定的时间背景下，区域经济差异在空间上就表现为该区域某一时段的经济空间结构，区域差距变化在空间上就表现为区域经济空间结构的演变趋势。运用变差系数和空间自相关模型，以县域为基本空间单元，以人均GDP为衡量指标，对成都都市圈县域经济发展差异和经济空间结构演变的时候特征进行了分析。变差系数分析表明，成都都市圈县域经济差异在研究时段内大致沿“倒U型”的变化轨迹，县域经济差异不断缩小。通过县域人均GDP的全域自相关分析发现，Moran’s 从1999年的070下降到2007年的066，说明从总体上，成都都市圈经济空间结构的集聚效应是减弱的。局部自相关分析将成都都市圈59个县分为4种县域类型（HH、HL、LL和LH），HH和LL型县域数量在研究时段内有所增加，HH县域绝大部分都集中分布在成都和德阳两市所辖的县域内，而LL型县域分布在距成都较远的区域，表明成都都市圈县域经济空间相关程度有所提高，形成了较为明显的发达地带和边缘贫困地带.     

Estimation of exposure to atmospheric pollutants during pregnancy integrating space–time activity and indoor air levels: Does it make a difference?

Studies of air pollution effects during pregnancy generally only consider exposure in the outdoor air at the home address. We aimed to compare exposure models differing in their ability to account for the spatial resolution of pollutants, space–time activity and indoor air pollution levels. We recruited 40 pregnant women in the Grenoble urban area, France, who carried a Global Positioning System (GPS) during up to 3 weeks; in a subgroup, indoor measurements of fine particles (PM_2.5) were conducted at home (n = 9) and personal exposure to nitrogen dioxide (NO₂) was assessed using passive air samplers (n = 10). Outdoor concentrations of NO₂, and PM_2.5 were estimated from a dispersion model with a fine spatial resolution. Women spent on average 16 h per day at home. Considering only outdoor levels, for estimates at the home address, the correlation between the estimate using the nearest background air monitoring station and the estimate from the dispersion model was high (r = 0.93) for PM_2.5 and moderate (r = 0.67) for NO₂. The model incorporating clean GPS data was less correlated with the estimate relying on raw GPS data (r = 0.77) than the model ignoring space–time activity (r = 0.93). PM_2.5 outdoor levels were not to moderately correlated with estimates from the model incorporating indoor measurements and space–time activity (r = − 0.10 to 0.47), while NO₂ personal levels were not correlated with outdoor levels (r = − 0.42 to 0.03). In this urban area, accounting for space–time activity little influenced exposure estimates; in a subgroup of subjects (n = 9), incorporating indoor pollution levels seemed to strongly modify them.     

Comparisons of elements and inorganic compounds inside and outside of residences

The results of more than 1 yr of air monitoring inside and outside of five homes in each of two communities are presented for SO₂, NO₂, mass respirable particles, SO₄, Al, Br, Cl, Mn, Na, and V. Outdoor measurements across the home site in each city are consistent with proximity to outdoor sources. Looking across indoor residential sites in each city, the home appears to alter outdoor concentrations in several ways. Indoor level of SO₂, SO₄, Mn, and V are lower than those measured outdoors. These constituents are thought generally to result from outdoor sources. The other constituents studied are at times found in excess within homes. In some cases the source or sources of excess concentration of a particular constituent could be identified; often, however, the source of excess indoor concentration could not be identified.     

基于DMSP/OLS数据的江苏省城镇人口空间分异研究

人口空间分异研究是区域协调发展的基础,便捷准确地获取城镇人口全局和局域的空间信息,对于合理制定区域人口、经济和社会发展政策具有重要意义。在DMSP/OLS(夜间灯光)数据和人口数据之间的定量关联基础上,模拟出格网尺度上江苏省2012年人口密度,采用人口集中指数、空间变差函数识别人口分布的空间格局并探讨区别于行政单元尺度的人口格局形成机理。区域层面,江苏省人口空间分异呈现苏北地区"低密度点状"分布,苏南、苏中为"高密度面状"分布并存格局。城镇层面,江苏省人口空间分布结构具有4种类型,H-H型地区人口各向差异性最强,网格单元内随机变异最小;H-L型人口各向差异性最小,网格单元内随机变异较大;L-L型人口轴向均质化特征明显,网格单元随机变异较小;L-H型空间各向差异性较小,网格单元的随机变异最大。结果表明,基于DMSP/OLS夜间灯光数据反演而得到的人口格网模型具有巨大潜力,结合变差函数进行拟合分析可定量地刻画城镇内部人口分布的空间异质性特征。     

环洞庭湖区地下水位空间分布特征研究

地下水位空间分布特征研究对合理开发并有效利用地下水资源具有重要意义。为准确分析环洞庭湖区地下水位空间分布特征,以分隔距离增量及其对应的允许变化范围、最大计算范围、变异函数模型结构为变量构建了118种组合方案,采用交叉验证法及其评价指标对不同方案的变异函数模型参数及交叉验证统计结果进行对比分析,在此基础上筛选出相对较优的变异函数模型用于研究环洞庭湖区地下水位空间分布特征。结果表明:(1)不同结构的变异函数模型参数及其评价指标结果存在较大的差异;相同结构的变异函数模型参数及其对应的评价指标随分隔距离增量和最大计算范围的变化也存在明显变化趋势,且部分评价指标变化趋势对模型合理性的影响效果相反。(2)经对比分析,环洞庭湖区地下水位的变异函数模型为球形模型,模型变程为978 km,块金值为9.86,偏基台值为45.36,块金系数为17.9%。研究区域内地下水位具有强烈的空间相关性,且结构性因素对空间变异且主导作用。(3)环洞庭湖区地下水位总体上呈层状分布,由外向内地下水位依次降低,地下水埋深依次减少,研究区域内地下水位与地势和河流水系结构关系密切。     

A model of ozone production in urban plumes

A model of rural smogs and urban plumes introduced into rural smog is developed. The single day variation of level of reactive species including ozone in rural smog in the eastern United States is simulated by mathematical modelling. Rural air masses are modelled as though they were outdoor smog chamber systems of low inital contaminant concentration to which small additional injections of contaminants, representing rural emissions, are made throughout the day. Rural smogs containing urban plumes are modelled as though they were outdoor inflatable smog chambers to which relatively large amounts of pollution material are added in the early minutes after sunrise and which are continuously diluted with material from chambers simulating rural smog. The urban plume model is specifically intended to simulate the photochemistry of parcels of air which sweep over relatively isolated cities in the eastern United States.The model runs suggest that the observed lack of urban plumes downwind of small cities is due to dilution. Additionally, the model suggests that the concentrations of both ozone and ozone precursors in rural smog have a significant effect on ozone production in urban plumes.     

Spirometric tests to assess the prevalence of childhood asthma at Portuguese rural areas: influence of exposure to high ozone levels

The study here reported aimed to: i) evaluate the prevalence of childhood asthma at a Portuguese rural area with high ozone concentrations through lung function tests, validating the previously estimated one assessed through questionnaires (similar to those of the ISAAC); ii) compare the achieved prevalence with the one reported at an unexposed area (with low ozone concentrations), aiming to evaluate the influence of exposure to high ozone levels; and iii) determine potential risk factors. Ninety-five of the original 478 children that completed the questionnaires, mentioned to have at least one of asthma symptoms (wheeze, dyspnea or cough) and were therefore evaluated by spirometry. FEV(1) was in average 89.7% for asthmatics and 102.8% for non-asthmatics. For the studied sample the risk was higher for girls with a tendency to be higher from 8 to 10 years old. Lifetime prevalence of childhood asthma at the exposed area was 9.2%. Children living at the exposed area had 3 times higher risk of having asthma than those living at the unexposed area. Considering that ozone concentrations were the main difference between both areas, it can be suggested that ozone pollution increased asthma prevalence. Nevertheless, it should be remarked that further studies should be done to confirm these results.     

Long period study of outdoor radon concentration in Milan and correlation between its temporal variations and dispersion properties of atmosphere

The results of a survey of outdoor radon concentrations in Milan are reported. Measurements were performed hourly over a continuous four year period from January 1997 to December 2000. Radon concentration was obtained by two means: both direct measurement of radon; and measurement of its decay products. The average daily pattern of radon concentration featured a minimum in the late afternoon and a maximum in the early hours of the morning. A seasonal pattern with higher concentrations in winter than in summer (from around 15 Bq m(-3) in winter to around 5 Bq m(-3) in summer) was also observed. Similar average annual values of around 10 Bq m(-3) were obtained. The annual effective outdoor radon dose was found to be 0.12 mSv. The variation from minimum in the afternoon to maximum the following morning was found to be a good indicator of the height of the nocturnal mixing layer. The variation between maximum and minimum levels on the same day is an index of the maximum height of the mixing layer. Furthermore, our long term measurements of radon have permitted us to examine the dispersion characteristics of the atmosphere over Milan, and to establish the frequency of conditions unfavourable to the dispersion of atmospheric pollutants.     

Surface ozone trends in Hong Kong in 1985-1995

Ozone trends in Hong Kong were assessed from the ozone data recorded at three urban stations and one station in the new development area. Three parameters were selected as the robust trend indicators in the study: monthly mean, monthly averaged daily 1-h maximum, and number of annual hours > 120 microg m(-3). As the ozone data displayed obvious seasonal variation, using deseasonalized monthly average parameters to estimate the ozone trends could smooth out the influence of seasonal fluctuations. The detection of an increase of more than 10% per year in ozone concentration at one station was particularly alarming. Effects of meteorological factors, control programmes of ozone precursors, and long-range transport on the ambient ozone level were examined in the study.     

江西省耕地土壤氮素空间变异特征及其影响因素

为定量探讨省域尺度下土壤氮素空间变异特征及其影响因素。以江西省2012年测土配方施肥项目采集的16 582个耕地表层(0~20 cm)土壤样点数据，运用普通克里格、单因素方差分析与回归分析方法，对土壤氮素空间变异特征及其影响因素进行分析。结果表明：（1）江西省土壤全氮(TN)含量在026~375 g/kg之间，平均值为158 g/kg，变异系数为3101%；碱解氮(AN)含量值域范围为1160~39970 mg/kg，平均值为16431 mg/kg，变异系数为3460%；二者均呈中等程度的变异性。（2）经半方差分析，TN与AN的变程分别为31489和3030 km，TN的空间自相关范围大而AN较小。（3）在空间分布上，高值区主要分布在新余市、抚州市与景德镇市。（4）回归分析与单因素方差分析结果表明，地形因子、耕地利用方式、成土母质、土壤类型和秸秆还田方式对土壤氮素空间变异影响极显著(P<001)。秸秆还田方式对土壤TN与AN空间变异的独立解释能力最高，分别为271%与42%，是影响江西土壤氮素空间变异的主要因素。     

Dynamics, deterministic nature and correlations of outdoor (222)Rn and (220)Rn progeny concentrations measured at Bacău, Romania

The long-term variation, nature and correlations of outdoor ²²²Rn and ²²⁰Rn progeny concentrations measured during the period 1994-2009 were investigated. The time series of data were obtained within the framework of the monitoring program performed by the Environmental Radioactivity Monitoring Station (ERMS) Bac?u, a component part of the National Environmental Radioactivity Survey Network (NERSN), coordinated by National Environmental Protection Agency (NEPA). The measuring method is based on the total beta measurements of atmospheric aerosol filters, using a low background total beta counter and (⁹⁰Sr/Y) reference standard. Analysis of the time series of progeny concentrations in the low atmosphere makes evident different patterns of variation of these concentrations: diurnal, seasonal and annual. A possible relationship of progeny concentration increase with global warming is emphasized. In order to find the dominant frequency of the physical processes determining progeny concentration variability the power spectrum has been used. The deterministic nature of the time series of concentrations has been studied making use of the autocorrelation function and stationarity of the original data and of their phase randomized time series. Also, the correlations with meteorological parameters have been investigated using Pearson’s correlation coefficient with corresponding level of significance.     

Modeling indoor air pollution of outdoor origin in homes of SAPALDIA subjects in Switzerland

Given the shrinking spatial contrasts in outdoor air pollution in Switzerland and the trends toward tightly insulated buildings, the Swiss Cohort Study on Air Pollution and Lung and Heart Diseases in Adults (SAPALDIA) needs to understand to what extent outdoor air pollution remains a determinant for residential indoor exposure. The objectives of this paper are to identify determining factors for indoor air pollution concentrations of particulate matter (PM), ultrafine particles in the size range from 15 to 300 nm, black smoke measured as light absorbance of PM (PM_absorbance) and nitrogen dioxide (NO₂) and to develop predictive indoor models for SAPALDIA. Multivariable regression models were developed based on indoor and outdoor measurements among homes of selected SAPALDIA participants in three urban (Basel, Geneva, Lugano) and one rural region (Wald ZH) in Switzerland, various home characteristics and reported indoor sources such as cooking. Outdoor levels of air pollutants were important predictors for indoor air pollutants, except for the coarse particle fraction. The fractions of outdoor concentrations infiltrating indoors were between 30% and 66%, the highest one was observed for PM_absorbance. A modifying effect of open windows was found for NO₂ and the ultrafine particle number concentration. Cooking was associated with increased particle and NO₂ levels. This study shows that outdoor air pollution remains an important determinant of residential indoor air pollution in Switzerland.     

Personal exposure monitoring to nitrogen dioxide

Measurement of personal exposure to nitrogen dioxide for short and long term was made with a sensitive NO₂ passive sampler by volunteer housewives and office workers in different seasons. These measurements were compared with the simultaneous measurement of outdoor and indoor concentration of the participants. A common result over all the measurements is the potential effect of using an unvented space heater to increase personal exposure. Mean personal exposure and indoor concentration are higher than outdoor levels elevated by the samples exposed to pollutant produced from the heater. Without an NO₂ source indoors, the mean outdoor concentrations are always highest among the data of measurement. A time-weighted indoor/outdoor activity model gives modestly improved estimates of personal exposure over those predicted from measured indoor concentrations alone.