Atmospheric concentrations and air-soil gas exchange of polycyclic aromatic hydrocarbons (PAHs) in remote, rural village and urban areas of Beijing-Tianjin region, North China

Forty passive air samplers were deployed to study the occurrence of gas and particulate phase PAHs in remote, rural village and urban areas of Beijing-Tianjin region, North China for four seasons (spring, summer, fall and winter) from 2007 to 2008. The influence of emissions on the spatial distribution pattern of air PAH concentrations was addressed. In addition, the air-soil gas exchange of PAHs was studied using fugacity calculations. The median gaseous and particulate phase PAH concentrations were 222 ng/m³ and 114 ng/m³, respectively, with a median total PAH concentration of 349 ng/m³. Higher PAH concentrations were measured in winter than in other seasons. Air PAH concentrations measured at the rural villages and urban sites in the northern mountain region were significantly lower than those measured at sites in the southern plain during all seasons. However, there was no significant difference in PAH concentrations between the rural villages and urban sites in the northern and southern areas. This urban-rural PAH distribution pattern was related to the location of PAH emission sources and the population distribution. The location of PAH emission sources explained 56%-77% of the spatial variation in ambient air PAH concentrations. The annual median air-soil gas exchange flux of PAHs was 42.2 ng/m²/day from soil to air. Among the 15 PAHs measured, acenaphthylene (ACY) and acenaphthene (ACE) contributed to more than half of the total exchange flux. Furthermore, the air-soil gas exchange fluxes of PAHs at the urban sites were higher than those at the remote and rural sites. In summer, more gaseous PAHs volatilized from soil to air because of higher temperatures and increased rainfall. However, in winter, more gaseous PAHs deposited from air to soil due to higher PAH emissions and lower temperatures. The soil TOC concentration had no significant influence on the air-soil gas exchange of PAHs.     

Use of alpha-, beta- and gamma-hexachlorocyclohexane in Europe, 1970-1996

Data on current and historical usage of alpha, beta, and gamma-hexachlorocyclohexane (HCH) in Europe are presented. The data were collected and estimated as a part of a project studying the regional cycling of persistent organic pollutants (POPs) in the Baltic environment (Popcycling-Baltic). Better data on sources, environmental discharges and atmospheric emissions of HCH and other POPs are needed to study, and hopefully reduce, the impact of these pollutants on the environment. Substantial uncertainties are assigned to the estimated data for individual countries and years, but it seems likely that the general trend of usage in Europe is captured. The quality of the estimates is thought to improve in general throughout the period, thus, reflecting the availability of reliable data. The results suggest that 382,000 t of technical HCH and 81,000 t of lindane were used in Europe from 1970 to 1996. This is equivalent to an estimated cumulative usage of 259,000 t alpha-HCH, 235,000 t gamma-HCH and 20,000 t beta-HCH. The usage of technical HCH was the major source of gamma-HCH until the late 1970s, and thereafter lindane became the dominating source of this isomer. The use of gamma-HCH in 1996 was estimated to still be nearly one-third of the European usage in 1970. The pattern of decreasing concentrations in biota follows the pattern of reductions in usage for the studied period within the Baltic area.     

Comparative PM10-PM2.5 source contribution study at rural, urban and industrial sites during PM episodes in Eastern Spain

In this study a set of 340 PM10 and PM2.5 samples collected throughout 16 months at rural, an urban kerbside and an industrial background site (affected by the emissions from the ceramic manufacture and other activities) were interpreted. On the regional scale, the main PM10 sources were mineral dust (mainly Al2O3, Fe, Ti, Sr, CaCO3, Mg, Mn and K), emissions derived from power generation (SO4=, V, Zn and Ni), vehicle exhausts (organic and elemental carbon, NO3- and trace elements) and marine aerosol (Na, Cl and Mg). The latter was not identified in PM2.5. At the industrial site, additional PM10 sources were identified (tile covering in the ceramic production, petrochemical emissions and bio-mass burning from a large orange tree cultivation area). The contribution of each PM source to PM10 and PM2.5 levels experiences significant variations depending on the type of PM episode (Local-urban mainly in autumn-winter, regional mainly in summer, African or Atlantic episode), which are discussed in this study. The results show that it would be very difficult to meet the EU limit values for PM10 established for 2010. The annual mean PM levels are 22.0 microg PM10/m3 at the rural and 49.5 microg PM10/m3 and 33.9 microg PM2.5/m3 at the urban site. The natural contribution in this region, estimated at 6 microg/m3 of natural mineral dust (resulting from the African events and natural resuspension) and 2 microg/m3 of marine aerosol, accounts for 40% of the 2010 EU annual limit value (20 microg PM10/m3). Mineral dust concentrations at the urban and industrial sites are higher than those at the rural site because of the urban road dust and the ceramic-production contributions, respectively. At the urban site, the vehicle exhaust contribution (17 microg/m3) alone is very close to the 2010 EU PM10 limit value. At the rural site, the African dust is the main contributor to PM10 levels during the highest daily mean PM10 events (100th-97th percentile range). At the urban site, the vehicle exhaust product is the main contributor to PM10 and PM2.5 levels during the highest daily mean PM events (100th-85th percentile range). Mineral dust concentrations during African dust events accounts for 20-30 microg/m3 in PM10 and 10-15 microg/m3 in PM2.5. During non-African dust events, mineral dust derived from anthropogenic activities (e.g. urban road dust) is also a significant contributor to PM10, but not to PM2.5.     

Motorcycle emissions and fuel consumption in urban and rural driving conditions

This work reports sampling of motorcycle on-road driving cycles in actual urban and rural environments and the development of representative driving cycles using the principle of least total variance in individual regions. Based on the representative driving cycles in individual regions, emission factors for carbon monoxide (CO), hydrocarbons (HC), nitrogen oxides (NO(x)=NO+NO(2)) and carbon dioxide (CO(2)), as well as fuel consumption, were determined using a chassis dynamometer. The measurement results show that the representative driving cycles are almost identical in the three largest cities in Taiwan, but they differ significantly from the rural driving cycle. Irrespective of driving conditions, emission factors differ insignificantly between the urban and rural regions at a 95% confidence level. However, the fuel consumption in urban centers is approximately 30% higher than in the rural regions, with driving conditions in the former usually poor compared to the latter. Two-stroke motorcycles generally have considerably higher HC emissions and quite lower NO(x) emissions than those of four-stroke motorcycles. Comparisons with other studies suggest that factors such as road characteristics, traffic volume, vehicle type, driving conditions and driver behavior may affect motorcycle emission levels in real traffic situations.     

Characterization of visibility and atmospheric aerosols in urban, suburban, and remote areas

Visibility data from over the past four decades accumulated from urban areas of central Taiwan indicated that air pollutants have significantly degraded visibility in recent years. Currently, the annual average visibility in urban areas of the same region is approximately 8-10 km, while the visibility in remote areas is approximately 25-30 km. To understand how aerosols affect the visibility in this region, here we selected three sites in central Taiwan to measure the soluble ionic and carbonaceous species of PM(2.5) and PM(2.5-10) during 1997-1998. A MOUDI cascade impactor was used to measure the size distributions of atmospheric sulfate, nitrate, and carbonaceous particles. The aerosol data were then analyzed together with meteorological and air quality data. Comparing the results obtained from urban, coastal suburban and remote sites revealed that sulfate, carbonaceous species and local wind speed significantly affected the visibility in the urban area. However, sulfate concentration and humidity influenced visibility in the coastal area of central Taiwan. The particulate concentration at the remote station was roughly one-fifth of that in the city. Regression analysis results indicated that humidity is a dominant factor affecting remote visibility.     

Back to Von Thunen: a Southern European perspective on mono-centric urban growth,economic structure and non-urban land decline*

This study assesses trends (1960–2010) in forest cover over a Mediterranean metropolitan region (Attica, Greece) with the aim to investigate the role of local contexts promoting changes in the use of land. Forest cover decreased in a spatially heterogeneous manner over the study period determining a land-use structure coherent with the Von Thunen mono-centric model. We used a multivariate exploratory analysis of 26 contextual variables to identify changes in the urban spatial structure at the local scale. The shift from a land-use structure based on urban–rural and cropland-forest polarizations in the early 1960s to a pattern based on the polarization in medium-density, mixed urban/agricultural areas and low-density, sparse forest land has been observed in the last 50 years. Urban expansion into rural land and the establishment of protected areas in economically marginal and remote districts has been identified as relevant drivers of landscape transformation in the area. Our study demonstrates that land-use changes driven by expansion of dispersed settlements may consolidate mono-centric urban structures. A concentric land-use distribution around the central city is compatible with urban sprawl and may be indirectly supported by ‘green belt’ regional planning and environmental policies protecting high-quality natural land.     

新形势下地方高校城乡规划专业特色办学路径探索——以安徽建筑大学为例

随着城镇化进程加快和城乡规划学科的发展,开办城乡规划专业的地方高校越来越多,办学竞争日趋激烈,如何寻求特色化发展已成为地方高校城乡规划专业发展的热点问题。文章分析了地方高校城乡规划专业办学面临的新形势,以安徽建筑大学为例,从特色凝练、课程优化、就业导向3个方面探讨新形势下地方高校城乡规划专业特色办学路径,以期实现发展创新力、提升竞争力及扩大影响力的目标。     

Organic chemicals in the air at Whitaker's Forest/Sierra Nevada Mountains, California.

Air samples from a rural forested site in the Sierra Nevada Mountains were analyzed for volatile organic compounds by a thermodesorption GC/MS technique. Approximately 120 compounds were characterized by their mass spectra, with identification achieved for about 70 of these substances. A high proportion of biogenically emitted substances was found and the concentration of anthropogenic chemicals was relatively low. Twenty-one terpenoid compounds (C10H16 and oxygenated derivatives) and p-cymene were identified, and a single sesquiterpene, tentatively identified as longifolene, was also found. Nopinone (bicyclo[3.1.1]-heptan-2-one, 6,6-dimethyl-) and alpha-pinene oxide (3-oxatricyclo-[4.1.1.02,4]-octane, 2,7,7-trimethyl), both possible pinene degradation products, were among the compounds detected, although it is possible that the observed levels of one or both of these included contributions from formation during the sampling. The strong influence of local vegetative emissions on the composition of the forest air was confirmed by quantitative analysis. Concentrations of single monoterpenes up to 6.8 micrograms m-3 were found, whereas toluene was in the range of 0.3 micrograms m-3. The results from the forest site are compared with urban air samples collected in Riverside, California.     

南京夏季城市局地气温时空变化特征

城市局地气候分区(Local Climate Zone,简写为LCZ)是一套用于城市气温研究的客观、标准、通用的局地热气候分类方法。基于LCZ方法对南京城市气温进行观测,分析了2016年夏季时段(7—9月)分布于南京城区至郊区的12个不同类型LCZ地块的气温时空变化特征,包括热岛日变化特征、平均热岛强度、日最高/最低温度差异、升温/冷却率差异。结果表明:各LCZ地块的热岛强度在日落后迅速增加,日落后3～5h达到最大值,然后逐渐减小,这一现象与各LCZ地块的升温/冷却率变化特征相对应;城市化强度越高的LCZ地块热岛强度越大;午间部分地块出现城市冷岛现象;水域区(LCZ G)在白天有一定的降温效果,夜间则会产生热岛效应;各LCZ地块的夜间平均热岛强度差异明显,日最低气温差异显著高于日最高气温差异。     

Characterization of large fleets of vehicle exhaust emissions in middle Taiwan by remote sensing

Measurement of fleet emissions by means of remote sensing was conducted in middle Taiwan and the distributions and governing factors were characterized and examined. Results show the type of sampling sites is a dominant factor for the emission levels, and driving speeds and accelerations of the vehicles. In this study, the mean CO, HC, and NO concentrations at the urban and rural sites are apparently higher. The quantitative relationship between the pollutant concentration and mean speed or acceleration was established. Analysis of effect of the vehicle model year on the average fleet emissions was also conducted. It indicates those relatively older vehicles are higher emitters and contribute significantly more to total fleet emissions. On the other hand, the variation trends with model year are independent of the site characteristics and the effect of vehicle age on CO, HC, and NO emission is similar.     

Spatial heterogeneity of personal exposure to airborne metals in French urban areas

The spatial distribution of urban population exposures to ambient air particles was investigated as part of the Genotox'ER study conducted in four metropolitan areas (Grenoble, Paris, Rouen and Strasbourg) in France. In each city, 60 to 90 non-smoking adult and children volunteers were selected. Subjects lived in three different urban sectors: one highly exposed to traffic emissions, one influenced by local industrial sources, and a background urban environment. The Harvard Chempass multi-pollutant personal sampler was used to sample PM10 and PM2.5 particles during 48 h during two different seasons ('hot' and 'cold'). The elemental composition of the filters was analysed by Particle-Induced X-ray Emission (PIXE). Sixteen elements were found to be over the method detection limits: Al, Si, P, S, Cl, K, Ca, Ti, V, Cr, Mn, Fe, Ni, Cu, Zn and Pb. The relative concentrations of elements of crustal origin (Si, Al, Ca) were higher in the coarse fraction of PM10 filters, while elements associated with combustion processes (traffic emissions or industrial combustion) presented higher relative concentrations in the PM2.5 fraction (S, Ni, V, Pb). Spatial heterogeneity of elemental exposures by urban sector is substantial for some metals of health concern, with 20% to 90% greater exposure values, on average, in the traffic proximity or industrial sectors, compared to the background sector, for Fe, Zn, Cu, V and Cr. This spatial heterogeneity should not be overlooked in epidemiological or risk assessment studies.     

Assessing regional intake fractions in North America

This paper develops the IMPACT North America model, a spatially resolved multimedia, multi-pathway, fate, exposure and effect model that includes indoor and urban compartments. IMPACT North America allows geographic differentiation of population exposure of toxic emissions for comparative risk assessment and life cycle impact assessment within U.S. and Canada. It looks at air, water, soil, sediment and vegetation media, and divides North America into several hundred zones. It is nested within a single world box to account for emissions leaving North America. It is a multi-scale model, covering three different spatial scales — indoor, urban and regional — in all zones in North America. Model results are evaluated against monitored emissions and concentrations of benzo(a)pyrene, 2,3,7,8-TCDD and mercury. Most of the chemical concentrations predicted by the model fall within two orders of magnitude of the monitored data. The model shows that urban intake fractions are one order of magnitude higher than rural intake fractions. The model application and importance is demonstrated by a case study on spatially-distributed emissions over the life cycle of diesel fuel. Depending on population densities and agricultural intensities, intake fractions can vary by eight orders of magnitudes, and even limited indoor emissions can lead to intakes comparable to those from outdoor emissions. To accurately assess these variations in intake fraction, we require the essential three original features described in the present paper: i) inclusion of the continental model within a world box for persistent pollutants, ii) addition of an urban box for short- and medium-lived substances (for grid size larger than 100 km), and iii) assess indoor emissions. This model can therefore be used to screen chemicals and assess regionalized intake fractions within North America for population-based human exposure assessment, life cycle impact assessment, and comparative risk assessment. The model can be downloaded at http://www.impactmodeling.org.     

Delhi

The Union Territory of Delhi consists of the twin cities of Delhi-New Delhi, a military station and large tracts of rural areas. The Territory is distributed among three local authorities: the Municipal Corporation of Delhi (MCD) consisting of both urban and rural areas; and two other urban local bodies, the New Delhi Municipal Committee (NDMC) and the Cantonment Board, Delhi. The areas and populations of these local authorities are shown in Table 1. Figure 1 shows the Delhi metropolitan area.     

Inferences over the sources and processes affecting polycyclic aromatic hydrocarbons in the atmosphere derived from measured data

Data concerning atmospheric lifetime and relative source contributions of polycyclic aromatic hydrocarbons (PAH) are fragmentary and contradictory. In this study, two datasets of measurements of atmospheric PAH (sum of particulate and gaseous phases), one from a national network, the other from a more local three-site study, were analysed and used to infer processes affecting PAH in the atmosphere, and their sources. PAH congener profiles measured at urban and rural locations were remarkably similar suggesting that atmospheric decay processes are relatively slow. This allows the use of such profiles to elucidate sources. A spatial analysis of two PAH datasets showed a clear influence of industry and road traffic upon local PAH concentrations. When Principal Component Analysis (PCA) was applied to UK national network data, it showed a clear influence of steel industry emissions and of home heating emissions from coal and oil in Northern Ireland. These sites also showed different winter/summer concentration ratios to the main group of sites. In the data from Birmingham (UK), PCA identified separate factors relating to gasoline and diesel vehicles, as well as the influence of wood combustion on “Bonfire night”, and a factor related to home heating emissions which shows up only in the cold season.     

Automobile gross emitter screening with remote sensing data using objective-oriented neural network

One of the costs of Taiwan's massive economic development has been severe air pollution problems in many parts of the island. Since vehicle emissions are the major source of air pollution in most of Taiwan's urban areas, Taiwan's government has implemented policies to rectify the degrading air quality, especially in areas with high population density. To reduce vehicle pollution emissions an on-road remote sensing and monitoring system is used to check the exhaust emissions from gasoline engine automobiles. By identifying individual vehicles with excessive emissions for follow-up inspection and testing, air quality in the urban environment is expected to improve greatly. Because remote sensing is capable of measuring a large number of moving vehicles in a short period, it has been considered as an assessment technique in place of the stationary emission-sampling techniques. However, inherent measurement uncertainty of remote sensing instrumentation, compounded by the indeterminacy of monitoring site selection, plus the vagaries of weather, causes large errors in pollution discrimination and limits the application of the remote sensing. Many governments are still waiting for a novel data analysis methodology to clamp down on heavily emitting vehicles by using remote sensing data. This paper proposes an artificial neural network (ANN), with vehicle attributes embedded, that can be trained by genetic algorithm (GA) based on different strategies to predict vehicle emission violation. Results show that the accuracy of predicting emission violation is as high as 92%. False determinations tend to occur for vehicles aged 7-13 years, peaking at 10 years of age.     

Assessment of pollution aerosols sources above the Straits of Dover using lead isotope geochemistry.

We assess the capability of lead isotopes to study the transport of pollution aerosols above the Straits of Dover by collecting atmospheric aerosols above the Eastern Channel and the Southern Bight of the North Sea. During the same period, we characterized the lead isotopic signature of the main industrial sources on the French coast near the Straits of Dover. Urban and automobile-derived aerosols were also collected. Due to the phasing out of lead in gasoline, the urban isotopic composition (206Pb/207Pb = 1.158 +/- 0.003) has become more radiogenic, although it is highly variable. On a regional scale, major industrial emissions have a well-defined isotopic composition (1.13 < 206Pb/207Pb < 1.22), more radiogenic than the petrol-lead signature (1.06 < 206Pb/207Pb < 1.12). These results together with those measured near the main coastal highway show that the automobile source has become a minor component of particulate lead in air. On a local scale, Dunkerque, the most urbanized and industrialized area along the Straits of Dover, may transiently control elevated lead concentrations. Except for the occurrence of local and regional range transport episodes, lead concentrations in the Straits of Dover can be related to remote or semi-remote pollution source emissions. Combining air mass retrospective trajectories and related lead abundances and isotopic compositions, it can be shown that lead aerosols originating from eastern Europe have an isotopic signature (1.145 < 206Pb/207Pb < 1.169) different from the isotopic composition of west-European lead aerosols (1.111 < 206Pb/207Pb < 1.142). The influence of remote North American sources is suggested, with caution, due to uncertainties in meteorological calculations.     

Evaluating the impacts of density on urban goods movement externalities

Research has established a potential to reduce vehicle miles traveled (VMT) by replacing passenger travel for shopping with delivery service, and a few studies have indicated CO2 emissions can also be reduced. However, that research has mostly focused on urban locations and has not addressed criteria pollutants. This study examines the impacts of replacing passenger travel for shopping with delivery service over a broader set of externalities (VMT, CO2, NOx, and PM10) in both urban and rural communities. Three different goods movement strategies are considered in three different municipalities in King County, Washington, which vary in size, density, and distance from the metropolitan core. The research finds that delivery services can reduce VMT over passenger vehicle travel for shopping, however, the potential to reduce CO2, NOx, and PM10 emissions varies by municipality. Significant trade-offs are observed between VMT and emissions – especially between VMT and criteria pollutants.     

Assessment of efficient sampling designs for urban stormwater monitoring

Monitoring programs for urban runoff have not been assessed for effectiveness or efficiency in estimating mass emissions. In order to determine appropriate designs for stormwater, total suspended solids (TSS) and flow information from the Santa Ana River was collected nearly every 15 min for every storm of the 1998 water year. All samples were used to calculate the "true load" and then three within-storm sampling designs (flow-interval, time-interval, and simple random) and five among-storm sampling designs (stratified by size, stratified by season, simple random, simple random of medium and large storms, and the first m storms of the season) were simulated. Using these designs, we evaluated three estimators for storm mass emissions (mean, volume-weighted, and ratio) and three estimators for annual mass emissions (median, ratio, and regular). Designs and estimators were evaluated with respect to accuracy and precision. The optimal strategy was used to determine the appropriate number of storms to sample annually based upon confidence interval width for estimates of annual mass emissions and concentration. The amount of detectable trend in mass emissions and concentration was determined for sample sizes 3 and 7. Single storms were most efficiently characterized (small bias and standard error) by taking 12 samples following a flow-interval schedule and using a volume-weighted estimator of mass emissions. The ratio estimator, when coupled with the simple random sample of medium and large storms within a season, most accurately estimated concentration and mass emissions; and had low bias over all of the designs. Sampling seven storms is the most efficient method for attaining small confidence interval width for annual concentration. Sampling three storms per year allows a 20% trend to be detected in mass emissions or concentration over five years. These results are decreased by 10% by sampling seven storms per year.     

The potential impacts of sprawl on farmland in Northeast China—Evaluating a new strategy for rural development

China's “building a new countryside” strategy for coordinating urban and rural development and gearing up national economic growth brings challenges to the country's farmland protection. The objective of this study is to evaluate potential impacts of implementing the strategy on farmland and to provide scientific guidelines and decision support for decision makers in northeast China. We analyzed three “building a new countryside” implementation scenarios (Historical Trend, Intensive Development, and Extensive Development) using the SLEUTH urban growth and land cover change model in combination with remote sensing and GIS analysis. The results indicated that farmland loss was inevitable, but revealed large differences in landscape patterns and the amount of farmland loss among the three BNC implementation scenarios. The Extensive Development scenario showed the largest increase in urban and rural residential land, the highest level of landscape fragmentation, and the largest loss of farmland. Farmland loss under the Intensive Development scenario is higher than that under the Historical Trend scenario; however, urban and rural sprawl and the fragmentation of landscape under the Intensive Development scenario were lower than those under the Historical Trend scenario. Consequently, the Intensive Development scenario was recommended for actual “building a new countryside” implementation in the study area. Potential rural sprawl under the Intensive Development scenario was also discussed, which provided useful information for guiding scientific-based decision support and policy making. While most studies of sprawl prediction involve urban centers only, our study presents a case of predicting urban and rural sprawl simultaneously.