The association between rural–urban migration flows and urban air quality in China

In light of the rapid urbanization of the world’s population over the past decades, there is a growing concern about the environmental impacts of urban population growth. Rural–urban migration is a particularly important component of the urbanization process in developing countries and is often considered to be detrimental to urban environmental conditions. However, few studies have explicitly examined the presumed negative impacts of in-migration on the natural environment of cities. The continuously increasing volume of rural–urban labor migration in China since the early 1980s has formed the largest population flow in world history. This study links the existing literature on population–environment and urbanization–environment interactions by empirically assessing the relationship between rural–urban migration and urban air conditions in China. A two-period (2004 and 2010) longitudinal dataset for the 113 key environmental protection cities of China was constructed based on multiple data sources. We applied the STIRPAT equation using conventional and spatial panel regression models to examine whether rural–urban migration flows were associated with air pollution in cities. Results show a strong negative association of in-migration with urban air quality even after controlling for the effects of other population, affluence, and technology factors. Findings from this research can contribute to a better understanding of the environmental consequences of rural–urban migration in China, with broader implications for sustainable development research and policies.     

Ozone concentration patterns observed during the 1976–1977 long-range transport study

The ozone distribution observed for April to September, 1976 and 1977, have been categorized and analyzed according to episodes. The major characteristics of the 40 ozone episodes are discussed. The major features are: (1) most episodes were associated with high pressure systems that enter the United States of America through Minnesota, (2) they normally have a duration which averages seven days for both years, (3) transported ozone from the midwest affected the northeastern United States and (4) the highest ozone concentrations were usually found in Connecticut. A particular episode, 9–19 May 1977, is examined in detail and shows the production of ozone in the midwestern United States under stagnant conditions and its eventual eastward transport. The first two days of the subsequent episode are shown to demonstrate the local accumulation of ozone in the northeast. The distribution of ozone throughout the entire eastern half of the country is also illustrated.     

Relationship between air pollution and daily mortality in a subtropical city: Taipei, Taiwan

Air pollution has been associated with daily mortality in numerous studies over the past decade. However most of these studies were conducted in the United States and Europe with relatively few done in Asia. In the current study, the association between ambient air pollution and daily mortality in Taipei, Taiwan's largest city which has a subtropical climate was undertaken, for the period 1994-1998 using a case-crossover analysis. This design is an alternative to Poisson time series regression for studying the short-term adverse health effects of air pollution. The air pollutants examined included particulate matter (PM(10)), sulfur dioxide (SO(2)), ozone (O(3)), nitrogen dioxide (NO(2)), and carbon monoxide (CO). The largest observed effect, which was without statistical significance, was seen for NO(2) and CO levels on deaths due to respiratory diseases (ORs=1.013 and 1.014, respectively). The well established link between air pollution levels and daily mortality may not be as strong in cities in subtropical areas, although other factors such as differences in pollutant mix or the underlying health of the population may explain the lack of a strong association in this study. Further studies of this type in cities with varying climates and cultures are needed.     

中美大气污染的空间交互影响--来自国家和城市层面PM2.5的经验证据

准确识别中美大气污染的空间交互影响可以为两国在大气污染治理领域开展双边合作提供科学依据。以PM 2.5浓度表征大气污染程度,采用收敛交叉映射(Convergent Cross Mapping,CCM)方法,在采集伯克利地球发布的小时数据的基础上通过算数平均得到2018年1月1日至2018年12月31日的PM 2.5浓度日均数据,从国家和城市两个层面识别了中美大气污染的空间交互影响。研究发现,中美两国的大气污染是空间交互影响的。其中,国家层面,在CCM因果检验基础上的广义同步检验表明,在1%显著性水平上,大气污染仅存在由美国指向中国的单向因果关系。城市层面,中美两国10个样本城市之间理论上共存在50个可能的因果关系(5×5×2)。研究发现,在1%显著性水平上,美国城市指向中国城市的因果关系有12个,而中国城市指向美国城市的因果关系仅有5个。在影响强度上,美国城市的大气污染对中国城市的影响强度高于中国城市的大气污染对美国城市的影响强度,如重庆的大气污染对华盛顿的影响强度为0.21,而华盛顿的大气污染对重庆的影响强度为0.35。面对大气污染的空间交互影响,中美两国可通过积极开展联合科研攻关,厘清大气污染的传输路径及其驱动因素,进行污染物的联合监测与数据管理;通过共享大气污染治理技术和建立大气污染防治基金等方式,加强在大气污染治理领域的合作。一旦中美两国成功建立起大气污染双边合作治理体系,依靠两国的国际地位和国际影响力,必将吸引越来越多的国家参与进来共同行动,大气污染全球治理体系的构建将非常值得期待。     

经济集聚对雾霾污染影响的空间计量研究——以长江三角洲地区为例

雾霾污染是困扰中国经济发展的重大民生与环境问题。基于改进产出密度模型，运用地统计和空间计量模型分析长三角城市2015~2017年雾霾污染空间格局和影响因素。研究发现：（1）雾霾污染存在季节性变化特征并且各城市雾霾污染状况逐渐好转。（2）雾霾污染具有显著的局域集聚特征和空间异质性，杭州、宁波和台州呈现低－低集聚特征，而滁州、扬州、镇江和泰州为高－高集聚型，污染区域集中于省界处，污染程度自西北向东南逐渐降低。雾霾污染存在显著的城际空间正相关和空间溢出效应，周边城市雾霾污染对本地区会产生负影响。（3）长三角城市人口集聚、研发投入、产业结构、工业烟粉尘排放及城市建设均对雾霾污染产生正向影响，对外开放、能源消耗以及降水等因素对雾霾污染产生负向影响；雾霾污染与经济增长之间不存在库兹涅茨曲线关系。经济集聚通过优化生产要素的空间分布与组合、共享治污基础设施等，形成雾霾污染抑制作用。     

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.     

农村人口转移趋势及空间指向研究

农村人口转移及城市集群发展加速城镇化进程,把握农村人口转移趋势,导引农村人口有序转移是推动新型城镇化建设的关键。长株潭城市群一体化发展具有典型性和代表性,基于此,本文选择湖南省和长株潭城市群作为研究对象,探讨农村人口转移趋势及其空间指向。本文选择人口发展方程和回归分析两种常见的人口总量预测方法测算湖南省2016—2030年人口总量,比较测算结果发现人口发展方程虽然在年增长率的预设上具有一定的主观性,但在长期人口预测中表现出更好的适用性。在城镇化率预测上,Logistic增长模型具有广泛的适用性。因此本文选择人口发展方程和Logistic增长模型,预测湖南省和长株潭城市群2016—2030年的人口总量和城镇化率,在此基础上计算出人口城乡分布的大致状况,进而估算农村人口转移趋势。预测结果显示2016—2030年间,湖南省和长株潭城市群分别有大约980万和567万农村人口向城市转移,长株潭城市群城镇化率和农村人口转移进程均领先于湖南省平均水平,尤其是城市群中心城市。据此,可得出结论:城镇化进程中的城市群发展在推动农村人口转移中的作用突显,农村人口转移空间指向城市群集聚,即城市群是引领城镇化进程的空间经济主体形态,是农村人口转移的"牵引力",是农村人口转移空间指向的"内聚力"。同时,农村人口加快向城市群聚集的趋势也呼吁城市治理理念和治理模式的创新,智慧城市或是这一变革的最优方案。     

Prediction of maximum daily ozone level using combined neural network and statistical characteristics

Analysis and forecasting of air quality parameters are important topics of atmospheric and environmental research today due to the health impact caused by air pollution. As one of major pollutants, ozone, especially ground level ozone, is responsible for various adverse effects on both human being and foliage. Therefore, prediction of ambient ozone levels in certain environment, especially the ground ozone level in densely urban areas, is of great importance to urban air quality and city image. To date, though several ozone prediction models have been established, there is still a need for more accurate models to develop effective warning strategies. The development of such models is difficult because the meteorological variables and the photochemical reactions involved in ozone formation are very complex. The present work aims to develop an improved neural network model, which combines the adaptive radial basis function (ARBF) network with statistical characteristics of ozone in selected specific areas, and is used to predict the daily maximum ozone concentration level. The improved method is trained and testified by hourly time series data collected at three air pollutant-monitoring stations in Hong Kong during 1999 and 2000. The simulation results demonstrate the effectiveness and the reliability of the proposed method.     

基于ESDA的城乡关联时空演变研究——以浙江省为例

以浙江省69个县域行政单元为研究对象,根据城乡关联内涵及特点,构建综合评价指标体系,运用主成分分析法和探索性空间数据分析方法,定量测度浙江省2001~2011年县域城乡关联性,并分析城乡关联时空演变特征及空间关联状态。研究表明：（1）各县域城乡关联综合得分均出现不同程度的增长,表明区域城乡经济社会统筹得到优化;（2）城乡关联空间存在差异,东部沿海平原县域城乡关联性普遍高于西部低山丘陵县域,地级市辖区城乡关联性明显高于各县(县级市);（3）城乡关联表现出较强的空间集聚特性,城乡关联较强的县域主要分布于长三角环杭州湾地区,城乡关联较弱的县域则集中分布于浙西南低山丘陵区域。在此基础上,提出经济水平发展、交通设施改善、要素联系强化、政策制度优化等4因素为浙江省城乡关联演变的主要动力机制     

Urban meteorological modelling for nuclear emergency preparedness

The main objectives of the current EU project “Integrated Systems for Forecasting Urban Meteorology, Air Pollution and Population Exposure” (FUMAPEX) are the improvement of meteorological forecasts for urban areas, the connection of numerical weather prediction (NWP) models to urban air pollution and population dose models, the building of improved urban air quality information and forecasting systems, and their application in cities in various European climates. In addition to the forecast of the worst air-pollution episodes in large cities, the potential use of improved weather forecasts for nuclear emergency management in urban areas, in case of hazardous releases from nuclear accidents or terror acts, is considered. Such use of NWP data is tested for the Copenhagen metropolitan area and the Øresund region.The Danish Meteorological Institute (DMI) is running an experimental version of the HIRLAM NWP model over Zealand including the Copenhagen metropolitan area with a horizontal resolution of 1.4 km, thus approaching the city-scale. This involves 1-km resolution physiographic data with implications for the urban surface parameters, e.g. surface fluxes, roughness length and albedo. For the city of Copenhagen, the enhanced high-resolution NWP forecasting will be provided to demonstrate the improved dispersion forecasting capabilities of the Danish nuclear emergency preparedness decision–support system, the Accident Reporting and Guidance Operational System (ARGOS), used by the Danish Emergency Management Agency (DEMA).Recently, ARGOS has been extended with a capability of real-time calculation of regional-scale atmospheric dispersion of radioactive material from accidental releases. This is effectuated through on-line interfacing with the Danish Emergency Response Model of the Atmosphere (DERMA), which is run at DMI. For local-scale modelling of atmospheric dispersion, ARGOS utilises the Local-Scale Model Chain (LSMC), which makes use of high-resolution DMI-HIRLAM NWP model data provided to DEMA by DMI four times a day under operational surveillance and covering Denmark and surroundings. The integration of DERMA in ARGOS is effectuated through automated on-line digital communication and exchange of data. The calculations are carried out in parallel for each NWP model to which DMI has access, thereby providing a mini-ensemble of dispersion forecasts for the emergency management.     

Multi-objective Programming and Social Welfare Analysis of Rural–urban Land Conversion Decision-making

Abstract

Rural–urban land conversion is an inevitable phenomenon in urbanization and industrialization. And the decision-making issue about this conversion is multi-objective because the social decision maker (the whole of central government and local authority) has to integrate the requirements of different interest groups (rural collective economic organizations, peasants, urban land users and the ones affected indirectly) and harmonize the sub-objects (economic, social and ecological outcomes) of this land allocation process. This paper established a multi-objective programming model for rural–urban land conversion decision-making and made some social welfare analysis correspondingly. Result shows that the general object of rural–urban land conversion decision-making is to reach the optimal level of social welfare in a certain state of resources allocation, while the preference of social decision makers and the value judgment of interest groups are two crucial factors which determine the realization of the rural–urban land conversion decision-making objects.     

江苏省城乡空间融合的形态演化研究

选取1980~2010年5期土地利用/覆被变化(LUCC)作为数据源,获取江苏省近30a的城乡建设用地变化数据,在空间分析和景观分析等方法支持下,分析城乡空间形态的演变特征,揭示城乡空间融合的过程和动力机制,并归纳不同类型的城乡空间融合模式。结果表明:(1)城镇空间扩展方面,数量变化呈先平缓后急剧增长特征,空间形态变化首先以外部扩展为主,然后进入斑块边缘间的填充扩展的循环过程,苏锡常地区城镇空间的扩展最为密集;(2)农村地域变化方面,总量呈小幅增长态势,江苏北部沿淮河地区农村建设用地分布较为密集,沿江地区逐渐形成农村建设用地的次级密集区;(3)城乡空间融合过程方面,城乡空间开始由离散扩展逐步向粘合扩展过渡,城乡连通程度逐步提高,苏南地区城乡粘合扩展最为明显;(4)城乡空间融合的动力机制和地域模式,社会经济发展水平的快速提高、乡镇企业的高速发展、交通基础设施的不断完善、开发区和新城区的快速建设是江苏城乡融合发展的主要驱动力。依据空间形态变化特征和主要动力因素,江苏省具有3种城乡空间融合发展类型:枢纽链接模式、集聚吞并模式、融合扩展模式。     

Photochemical dispersion modeling: Review of model concepts and applications studies

Over the last decade, the development and application of sophisticated atmospheric models that simulate the transport and dispersion of ozone and its precursors have advanced rapidly. Further advancements are most likely to be found in more complete temporal and spatial characterization of photochemical smog formation processes via measurement. This paper provides an overview of the development of atmospheric photochemical dispersion models, first discussing in general terms the various physical processes occurring in the atmosphere that govern the formation, transport, and ultimate fate of ozone. Procedures for representing these physical processes in mathematical terms are presented next. Nearly all of the photochemical models in use today are derived from the semiempirical atmospheric diffusion equation, though theoretical formulations vary depending on which of the various terms in the pollutant mass balance equation are deemed significant for the application at hand. Examples of recent applications of the range of available photochemical model are presented, together with estimates of the accuracy of each generic modeling concept. Several topics warranting future research are identified, including the need to incorporate explicitly more of the stochastic (or probabilistic) nature of the atmosphere into the form of current photochemical model predictions (i.e., estimates of the variance and higher order moments of the predicted concentration distribution).     

长江经济带新型城镇化协调性的空间差异与时空演化

从城乡、产城、区域和城镇化与资源环境协调发展4个方面建立指标体系,衡量长江经济带105个地级及以上市新型城镇化的协调性,并运用泰尔系数和探索性空间分析考察协调性的空间差异和时空演化,结果发现:长江经济带新型城镇化协调性存在明显的反地势分布和"城市圈俱乐部"特征;东、中、西部城镇化协调性差异随时间越来越明显,东部城市主要体现在非省会城市之间的差异,中部主要体现在省会城市与非省会城市的组间差异,西部主要体现在省会城市之间以及省会城市和非省会城市之间的组间差异;长江经济带新型城镇化协调性表现出正的全局空间自相关,协调性高的区域开始集聚在一起,这种趋势随时间不断增强并且空间溢出效应明显。     

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.     

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.     

Opportunities and challenges for development of urbanization in Western China

Urban and rural dual structure in Western China is obvious.The economic development of the central cities is relatively quick while that of the rural areas is lagging behind.The speeding up of urbanization contributes to the intensively uncoordinated development of urban and rural areas.Besides,the eco-fragile environment,shortage of available water resources,adverse geographic location,and relatively backward social economy restrict the development of urbanization in Western China.However,Western China also has the advantages of backwardness.This paper analyzes the present situation and development trend of urbanization in Western China.The results show that Western China has basically formed a development pattern with"industry promotes agriculture and urban leads to village".Therefore,combined with the present situation of Western China,this paper describes and analyzes the opportunities and challenges that may appear in the process of urbanization in Western China,puts forward the development pattern in which urban and rural areas can gain mutual support and co-development,and provides related recommendations.     

随机故障、蓄意攻击与城乡路网空间稳定性——以武汉城市圈为例

基于1995~2010武汉城市圈城乡路网空间数据,综合运用复杂网络理论、动力系统理论及现代控制理论等多学科的方法和理论,采取随机故障和蓄意侵略两种攻击策略及多种评价指标,通过建立动力学演化模型并进行模拟仿真,揭示武汉城市圈城乡道路网的空间稳定性：（1）因分布相对均匀,节点连接随机多样,在面临随机攻击时,武汉城市圈城乡路网体现出“类随机性”,抗攻击能力强;（2）高度节点、高介数节点失效时,引致的城乡路网效率和结构变化程度不一,高介数节点失效往往更容易导致路网破碎和效率降低（形成众多子图）;（3）桥梁和高速成为整个圈域城乡路网的关键边,不同桥梁或高速路段相对网络稳定性的重要程度不一样：圈域中心城区的大桥和二桥、南北向的京港澳、大广高速成为整个城乡路网的关键路径     

Use of kriging models to predict 12-hour mean ozone concentrations in Metropolitan Toronto-A pilot study

Ozone concentrations exhibit spatial variability within metropolitan areas, resulting in significantly different personal exposures among individuals. This paper uses the statistical technique, kriging, to explore the 12-h daytime (8am–8pm) ozone spatial variation and to predict mean outdoor ozone levels at home sites within the Toronto metropolitan area. Outdoor ozone measurements taken in the Toronto metropolitan area between June and August 1992 are used in kriging models to predict outdoor ozone concentrations. The performance of the model is evaluated by comparing actual home outdoor measurements with predicted values. Results indicate that kriging predictions are more accurate than using only the closest stationary ambient site measurements for determining home outdoor ozone concentrations within the metropolitan area. The average variogram obtained from pooling data throughout the entire sampling period shows a clear spatial trend in the outdoor ozone variation. Kriging predictions using the parameters from the average variogram perform as well as those using variograms from individual days. An approach for minimizing sample bias can be used to increase the accuracy of the predictions; cross-validation suggests that it is a reasonable procedure.     

基于力学平衡模型的乡村转型均衡发展判别方法研究

社会经济 生物自然 土地管理三维驱动因素通过“农村人口 耕地 农村居民点”3要素之间的相互联系与相互作用驱动着乡村转型发展。以该3要素为研究对象，提出基于力学平衡模型乡村转型发展偏离度的评价方法，并综合应用 2000 年和 2010 年两期 Landsat TM影像解译数据及2006~2020年规划修编数据，分析了江苏省乡村地区转型变化的特征规律。研究表明：江苏省各县（市区）乡村地区转型发展过程中，存在不同程度偏离发展情况；偏离度空间上呈现极角苏南<苏中<苏北，极径苏南>苏中>苏北的规律；农村居民点扩张成为乡村转型均衡发展的最重要阻碍因素，这根源于我国特殊的城乡“三元”结构社会体制，目前“生产空间较好的实现了转型，生活空间和身份空间依然滞留在乡村地区”，现阶段的乡村转型发展是一种不均衡的发展模式，必须实现向“以人为本”发展方式转变