Spatial-temporal characteristics of PM<Subscript>2.5</Subscript> in China: A city-level perspective analysis

Haze pollution has become a severe environmental problem in the daily life of the people in China. PM_2.5 makes a significant contribution to poor air quality. The spatio-temporal features of China’s PM_2.5 concentrations should be investigated. This paper, based on observed data from 945 newly located monitoring sites in 2014 and industrial working population data obtained from International Standard Industrial Classification (ISIC), reveals the spatio-temporal variations of PM_2.5 concentrations in China and the correlations among different industries. We tested the spatial autocorrelation of PM_2.5 concentrations in the cities of China with the spatial autocorrelation model. A correlation coefficient to examine the correlativity of PM_2.5 concentrations and 23 characteristic variables for 190 cities in China in 2014, from which the most important ones were chosen, and then a regression model was built to further reveal the social and economic factors affecting PM_2.5 concentrations. Results: (1) The Hu Huanyong Line and the Yangtze River were the E-W divide and S-N divide between high and low values of China. (2) The PM_2.5 concentrations shows great seasonal variation, which is high in autumn and winter but low in spring and summer. The monthly average shows a U-shaped pattern, and daily average presents a periodic and impulse-shaped change. (3) PM_2.5 concentrations had a distinct characteristic of spatial agglomeration. The North China Plain was the predominant region of agglomeration, and the southeastern coastal area had stable good air quality.     

过去2000年中国农耕区拓展与垦殖率变化基本特征

通过梳理和集成近年研究成果,综述了过去2000年中国主要农耕区拓展的阶段性及其间全国耕地面积和其中近千年垦殖率变化的主要特征。主要结论有：① 中国主要农耕区第一次大规模拓展出现在西汉,从黄河中下游拓至整个长江以北地区;第二次在唐宋时期,主要是长江以南农耕区域从平原低地拓垦至丘陵山地;第三次在清中叶以后,主要是对东北、西北和西南等边疆地区的拓垦和山地的深度开发。② 过去2000年中国耕地面积呈波动增加趋势,公元初突破5亿亩（1亩≈ 667 m²）,8世纪前期突破6亿亩,11世纪后半叶达近8亿亩,16世纪后期突破10亿亩,19世纪前期突破12亿亩,1953年逾16亿亩,1980年逾20亿亩。③ 中国耕地空间分布的主体格局至11世纪前后就已基本奠定。1080年前后,黄淮海、关中平原等的垦殖率达30%以上,长江三角洲、鄱阳湖平原、两湖平原和四川盆地等达30%左右。1850年前后,华北平原、汾渭盆地和陇东地区、四川盆地、两湖平原、鄱阳湖平原及长三角地区等的垦殖率均超过30%。2000年前后,东北平原、黄淮海地区、汾渭盆地和陇东地区、四川盆地、长江中下游平原等农业区中有2/3以上垦殖率超过50%,辽西丘陵、坝上高原、黄土高原及南方各省的丘陵山地也多达15%以上;西北绿洲农业带及青藏高原河谷农业带的局部地区也达50%以上。     

Spatio-temporal modeling of PM2.5 concentrations with missing data problem: a case study in Beijing,China

ABSTRACT

One of the major challenges in conducting epidemiological studies of air pollution and health is the difficulty of estimating the degree of exposure accurately. Fine particulate matter (PM_2.5) concentrations vary in space and time, which are difficult to estimate in rural, suburban and smaller urban areas due to the sparsity of the ground monitoring network. Satellite retrieved aerosol optical depth (AOD) has been increasingly used as a proxy of ground PM_2.5 observations, although it suffers from non-trivial missing data problems. To address these issues, we developed a multi-stage statistical model in which daily PM_2.5 concentrations can be obtained with complete spatial coverage. The model consists of three stages – an inverse probability weighting scheme to correct non-random missing patterns of AOD values, a spatio-temporal linear mixed effect model to account for the spatially and temporally varying PM_2.5-AOD relationships, and a gap-filling model based on the integrated nested Laplace approximation-stochastic partial differential equations (INLA-SPDE). Good model performance was achieved from out-of-sample validation as shown in R² of 0.93 and root mean square error of 9.64 μg/m³. The results indicated that the multi-stage PM_2.5 prediction model proposed in the present study yielded highly accurate predictions, while gaining computational efficiency from the INLA-SPDE.     

From highly polluted inland city of China to “Lanzhou Blue”: The air-pollution characteristics

Air quality was improved considerably and the so-called "Lanzhou Blue" appeared frequently in Lanzhou due to implementation of some strict emission-control measures in recent years. To better understand whether the concentration of each air pollutant had decreased significantly and then give some suggestions as to urban air-quality improvement in the near future, the variations of the Air Quality Index (AQI) and six criterion air pollutants (PM_2.5, PM₁₀, CO, SO₂, NO₂, and O₃) at five state-controlled monitoring sites of Lanzhou were studied from 2013 to 2016. The AQI, PM_2.5, PM₁₀, and SO₂ gradually decreased from 2013 to 2016, while CO and NO₂ concentrations had slightly increasing trends, especially in urban areas, due to the large number of motor vehicles, which had an annual growth rate of 30.87%. The variations of the air pollutants in the no-domestic-heating season were more significant than those in the domestic-heating season. The increase of ozone concentration for the domestic-heating season at a background station was the most significant among the five monitoring sites. The vehicle-exhaust and ozone pollution was increasingly severe with the rapid increase in the number of motor vehicles. The particulate-matter pollution became slight in the formerly highly polluted Lanzhou City. Some synergetic measures in urban and rural areas of Lanzhou should be taken by the local government in the near future to control fine particulate-matter (PM_2.5) and ozone pollution.     

气候变化背景下中国玉米生产潜力变化特征

玉米作为中国第一大粮食作物,探究其生产潜力在气候变化背景下的时空变化特征对中国有效应对气候变化具有重要意义。论文结合全球农业生态区模型、极点对称模态分解方法和集对分析方法,探讨了中国玉米生产潜力的周期性波动特征及长期变化趋势,进而分析了其空间格局演变过程。结果表明：1960—2010年间,中国玉米生产潜力呈增加趋势,由1960年代的9.10亿t增至2000年代的9.45亿t左右。在年际尺度上,中国玉米生产潜力主要以准3 a和准5 a的周期进行波动;在年代际尺度上,存在准10 a和准20 a的波动周期。其中,准3 a的周期波动是中国玉米生产潜力长时间变化的最主要特征,这主要是受年降水量变化的影响。从空间格局来看,中国玉米生长适宜区主要集中在加格达奇—锡林浩特—临河—西宁—天水—中甸沿线以东;1960—2000年间,玉米生产潜力界线在中国东北部和临河—西宁沿线发生了较为明显的移动。华北平原、辽河平原、四川盆地等地区的玉米单产潜力变化趋势具有较强的一致性,松嫩平原、三江平原、关中盆地、长江中下游平原等地区的玉米单产潜力变化过程与上述地区恰好相反。在这2类地区,玉米单产潜力的变化均较显著,但变化方向在年代际尺度上具有交替性。     

基于空间面板计量模型的雾霾对中国城市旅游流影响的空间效应

以中国342个市域单元为研究对象,借助双变量LISA模型、空间面板杜宾模型等方法,探究了1998-2016年雾霾与中国城市旅游流的空间关联特征,分析了雾霾对旅游流的影响及其空间溢出效应。结果表明,在中国雾霾PM_2.5与城市旅游流有东高西低的分布特点,在胡焕庸线两侧的空间分布呈现出与地形和城市发展等因素的空间耦合性;雾霾与城市旅游流（含国内和入境旅游流）均表现出显著的空间集聚和空间依赖特征,雾霾污染对旅游流产生明显的影响并形成相应的空间效应;雾霾对旅游流的抑制区域在不断扩大,H-L型城市数量的增加、L-H型集聚区的片状扩张和华北、华中地区的L-H型集聚的“空心化”现象均表明旅游流具有低雾霾指向性;雾霾污染与旅游流的倒“U”型曲线关系表明经典的EKC假说对中国城市旅游流同样适用,且雾霾污染的显著负向影响主要存在于入境旅游方面;雾霾和旅游流均具有明显的正向空间溢出效应,将雾霾治理同经济发展、对外联系、旅游开发、生态保护和交通建设等因素结合起来进行综合治理,才能为旅游发展创造美好的环境,实现国际、国内旅游健康、协调、可持续的高质量发展。     

An optimized spatial proximity model for fine particulate matter air pollution exposure assessment in areas of sparse monitoring

GIS-based proximity models are one of the key tools for the assessment of exposure to air pollution when the density of spatial monitoring stations is sparse. Central to exposure assessment that utilizes proximity models is the ‘exposure intensity–distance’ hypothesis. A major weakness in the application of this hypothesis is that it does not account for the Gaussian processes that are at the core of the physical mechanisms inherent in the dispersion of air pollutants.

Building upon the utility of spatial proximity models and the theoretical reliability of Gaussian dispersion processes of air pollutants, this study puts forward a novel Gaussian weighting function-aided proximity model (GWFPM). The study area and data set for this work consisted of transport-related emission sources of PM_2.5 in the Houston-Baytown-Sugar Land metropolitan area. Performance of the GWFPM was validated by comparing on-site observed PM_2.5 concentrations with results from classical ordinary kriging (OK) interpolation and a robust emission-weighted proximity model (EWPM). Results show that the fitting R² between possible exposure intensity calculated by GWFPM and observed PM_2.5 concentrations was 0.67. A variety of statistical evidence (i.e., bias, root mean square error [RMSE], mean absolute error [MAE], and correlation coefficient) confirmed that GWFPM outperformed OK and EWPM in estimating annual PM_2.5 concentrations for all monitoring sites. These results indicate that a GWFPM utilizing the physical dispersing mechanisms integrated may more effectively characterize annual-scale exposure than traditional models. Using GWFPM, receptors’ exposure to air pollution can be assessed with sufficient accuracy, even in those areas with a low density of monitoring sites. These results may be of use to public health and planning officials in a more accurate assessment of the annual exposure risk to a population, especially in areas where monitoring sites are sparse.     

基于社会脆弱性的中国高温灾害人群健康风险评价

本研究通过综合考虑高温胁迫、社会脆弱性和人口暴露,提出基于社会脆弱性的高温灾害风险评价框架,结合气象数据、遥感数据、社会经济数据构建多元数据融合的评价指标体系,开展全国分县高温灾害风险评价。研究结果表明,高温灾害脆弱性热点区域主要集中在中国新疆西部、豫西皖北交界处、四川盆地、洞庭湖流域、广西境内珠江流域;而华中地区湖北江汉平原和湖南洞庭湖流域、西南地区四川省和重庆市交界处的四川盆地、华东地区江浙沪一带、华南珠江流域,则是中国突出的高温灾害风险热点区。高温灾害脆弱性热点区和高温灾害风险热点区的分布出现比较明显的差异,高温灾害脆弱性热点区主要分布于高温胁迫较高或社会经济较差的不发达地区,区域人群由于经济上的适应能力较差而受到高温威胁的概率较大;而高温灾害风险则强调灾害一旦发生时的可能损失,其热点区域主要分布于人口聚集、经济较为发达的大城市区域。就主导因子分区来说,高温胁迫主导区域主要为平原、盆地以及大江大河流域,社会脆弱性主导区域主要位于经济欠发达地区以及脆弱性人群聚集区;人口暴露主导区域则主要集中在人口密集的中心城市和沿海地区。     

Impacts of particulate matter on Gulf of Mexico tropical cyclones

This research analyzes the relationship between tropical cyclones and fine particulate matter (PM_2.5) for landfalling Atlantic tropical cyclones from 2000 to 2015. Daily mean PM₂.₅ concentrations were collected from the United States Environmental Protection Agency. Tropical cyclone data were acquired from Tropical Prediction Center Best Track Reanalysis in Unisys weather. GRIdded Binary (GRIB formatted) data were downloaded from the Data Support Section of the Computational and Information Systems Laboratory at the National Center for Atmospheric Research (NCAR). Tracks of tropical cyclones were overlaid with the interpolated daily mean PM₂.₅ concentration value. Results suggest that, in general, tracks are distant from areas with the largest PM₂.₅ concentrations. To examine the cause-effect nature of this relationship, simulation using the Weather Research and Forecasting (WRF) model suggests that the intensity of Hurricane Lili was weakened only after passing the most PM₂.₅-polluted area in Louisiana. This result suggests that aerosol loading may weaken the intensity of tropical cyclones, at least in some cases.     

Measurement of PM2.5 emission potential from soil using the UC Davis resuspension test chamber

Human health effects have been linked to airborne concentrations of fine particulate matter. One source of fine particulate matter in the atmosphere is resuspended soil dust from a variety of activities, including agricultural operations. We have established a method to measure the potential of soil to emit fugitive dust in the PM₁₀ or PM_2.5 size range. The method is repeatable, and provides an index of PM₁₀ or PM_2.5 dust that is highly correlated to the soil texture. The ratio of the PM_2.5 Index to the PM₁₀ Index produced by this method is similar to field observations of ambient PM_2.5 and PM₁₀ concentrations downwind of agricultural operations in the San Joaquin Valley of California. The PM_2.5 or PM₁₀ Index will be a more useful parameter to estimate the potential of a soil to emit fugitive dust than the currently used dry silt content of soil. Research is currently underway to relate the PM₁₀ and PM_2.5 Index to measured emission factors, accounting for soil moisture and type of agricultural operation, so that a more reliable predictive equation can be developed for agricultural practices.     

Analysis on the temporal-spatial distribution character and effect factors of PM10 in the hinterland of Taklimakan Desert and surrounding area

In recent years, the physical and chemical properties of dust aerosols from the dust source area in northern China have attracted increased attention. In this paper, Thermo RP 1400a was used for online continuous observation and study of the hinterland of Taklimakan, Tazhong, and surrounding areas of Kumul and Hotan from 2004 to 2006. In combination with weather analysis during a sandstorm in the Tazhong area, basic characteristics and influencing factors of dust aerosol PM₁₀ have been summarized as below: (1) The occurrence days of floating dust and blowing dust appeared with an increasing trend in Kumul, Tazhong and Hotan, while the number of dust storm days did not significantly change. The frequency and intensity of dust weather were major factors affecting the concentration of dust aerosol PM₁₀ in the desert. (2) The mass concentration of PM₁₀ had significant regional distribution characteristics, and the mass concentration at the eastern edge of Taklimakan, Kumul, was the lowest; second was the southern edge of the desert, Hotan; and the highest was in the hinterland of the desert, Tazhong. (3) High values of PM₁₀ mass concentration in Kumul was from March to September each year; high values of PM₁₀ mass concentration in Tazhong and Hotan were distributed from March to August and the average concentration changed from 500 to 1,000 g/m³, respectively. (4) The average seasonal concentration changes of PM₁₀ in Kumul, Tazhong and Hotan were: spring > summer > autumn > winter; the highest average concentration of PM₁₀ in Tazhong, was about 1,000 g/m³ in spring and between 400 and 900 g/m³ in summer, and the average concentration was lower in autumn and winter, basically between 200 and 400 g/m³. (5) PM₁₀ concentration during the sandstorm season was just over two times the concentration of the non-sandstorm season in Kumul, Tazhong and Hotan. The average concentrations of sandstorm season in Tazhong were 6.2 and 3.6 times the average concentrations of non-sandstorm season in 2004 and 2008, respectively. (6) The mass concentration of PM₁₀ had the following sequence during the dust weather: clear day < floating dust < floating and blowing dust < sandstorm. The wind speed directly affects the concentration of PM₁₀ in the atmosphere, the higher the wind speed, the higher the mass concentration. Temperature, relative humidity and barometric pressure are important factors affecting the strength of storms, which could also indirectly affect the concentration change of PM₁₀ in the atmosphere.     

中国专业村镇空间格局及其影响因素

探索专业村镇的地域分异格局特征及其影响因素,对实施农业转型升级与乡村振兴战略具有重要参考价值。本文基于农业农村部“一村一品”示范村镇资料揭示了中国专业村镇的空间格局,运用地理探测器模型从全国和农业区尺度分析了地形特征、资源禀赋和区位条件等村域环境因素,以及市场需求和经济基础等区域环境因素对专业村镇分布的影响。研究发现:① 中国专业村镇主要分布在胡焕庸线东南半壁,占83.64%,呈现中心集聚和由华北平原—长江下游平原向南、再向西北梯度递减特征;② 主导产业细分门类以水果、蔬菜为主,占59.45%,主要分布在黄淮海平原、关中平原、长江中下游平原、四川盆地等,且多以省会城市为中心,呈圈带状分布;③ 专业村镇空间分布受区域环境因素的影响强于村域环境因素,市场需求和经济基础因素的解释力值分别为0.30和0.19,村域环境因素中地形特征因素影响相对较大,其解释力值为0.15;④ 影响因素存在明显的区域差异,北方平原—丘陵区主要受到市场需求因素影响,农牧交错—高原区主要受到地形特征和资源禀赋因素的影响,西北—青藏高原区主要受市场需求、经济基础和区位条件的影响,而南方丘陵—高原区解释力较弱。研究可为提高农业生产专业化水平、识别和培育专业村镇和乡村振兴极、推进乡村振兴战略实施提供科学参考。     

基于情景的1951-2011年中国极端降水风险评估

随着全球气候变暖,极端降水的风险评估研究成为学界和各国政府广泛关注的热点问题,开展中国极端降水的风险评估研究可以为中国防灾减灾提供参考依据。本文从灾害风险评估视角,依据国际减灾战略（ISDR）的灾害风险评估模型,开展了中国极端降水的风险评估研究。首先,利用1951-2011年全国各站点逐日降水数据,采用Pearson-III方法,模拟不同重现期情景下极端降水量和频次分布,评估中国不同重现期下的极端降水危险性及空间分布;其次,基于人口和GDP指标,分析极端降水脆弱性及空间分布特征;在此基础上,评估了5年、10年、50年、100年一遇情景下中国极端降水风险及其空间分布特征。结果表明：① 中国极端降水危险性等级从东南沿海向西北内陆递减,5年一遇情景下,极端降水高危险区和低危险区的分界线大致与400 mm等降水线相同。② 中国极端降水脆弱性高的地区主要分布在人口稠密且经济发达的东部沿海大城市地区,特别是经济发达的长三角、珠三角和京津冀等城市群地区,以及中部地区的一些大城市。③ 不同情景下,中国极端降水风险等级均呈现由东南向西北方向降低。风险等级高和较高的地区主要位于黑河—腾冲线以东,中和低风险区位于该线以西,这与中国人口密度分布的胡焕庸线大体一致。     

Impact of cultivated land fragmentation on spatial heterogeneity of agricultural agglomeration in China

Systematically revealing the impact of cultivated land fragmentation(CLF) on the geographical agglomeration pattern of agricultural specialization(AS) has positive significance for national agricultural production management. Based on the data of the second national land survey and agricultural production, this study has explored the impact of CLF on spatial heterogeneity of agricultural agglomeration in China by comprehensively using the Theil index, ordinary least square model and geographically weighted regression. Results showed that:(1) the regional differentiation of the CLF in China is obvious, and the cultivated land fragmentation index is generally characterized by increasing pattern from northwest to southeast.(2) Spatially, the development level of AS in China has formed three high-value clusters in the Northeast China Plain, the Qinghai-Tibet Plateau, and the middle of the Middle-lower Yangtze Plain; and the low-value contiguous areas centered on the Yunnan-Guizhou Plateau and the Sichuan Basin and surrounding regions, with significant spatial differences. The contribution of grain crops, economic crops, and vegetables and melon to the level of AS was 74.63%, 9.09%, and 16.28%, respectively, and the pattern of agricultural geographical aggregation dominated by grain crops has primarily taken in shape.(3) CLF is significantly negatively correlated with AS, and every 1% increase in the degree of CLF will result in a decrease of about 0.2% in AS. However, the impact of CLF on the geographic agglomeration of different crop categories or groups varies significantly. Among them, CLF has a prominent impact on the specialization level of grain crops and vegetables and melon. Each 1% increase in the CLF will reduce the specialization level of grain crops by 0.38%, and increase the level of vegetables and melon by about 0.22%.(4) According to the landscape characteristics of cultivated land, the degree of spatial division and agglomeration of cultivated land patches have a significant impact on the formation of geographical agglomerationpattern of AS, and the intensity and direction of influence show significant regional differentiation, while the patch size has no significant impact.     

中国城市群PM2.5空间分布规律（英文）

Haze pollution has become a severe environmental problem in the daily life of the people in China. PM_(2.5) makes a significant contribution to poor air quality. The spatio-temporal features of China's PM_(2.5) concentrations should be investigated. This paper, based on observed data from 945 newly located monitoring sites in 2014 and industrial working population data obtained from International Standard Industrial Classification(ISIC), reveals the spatio-temporal variations of PM_(2.5) concentrations in China and the correlations among different industries. We tested the spatial autocorrelation of PM_(2.5) concentrations in the cities of China with the spatial autocorrelation model. A correlation coefficient to examine the correlativity of PM_(2.5) concentrations and 23 characteristic variables for 190 cities in China in 2014, from which the most important ones were chosen, and then a regression model was built to further reveal the social and economic factors affecting PM_(2.5) concentrations. Results:(1) The Hu Huanyong Line and the Yangtze River were the E-W divide and S-N divide between high and low values of China.(2) The PM_(2.5) concentrations shows great seasonal variation, which is high in autumn and winter but low in spring and summer. The monthly average shows a U-shaped pattern, and daily average presents a periodic and impulse-shaped change.(3) PM_(2.5) concentrations had a distinct characteristic of spatial agglomeration. The North China Plain was the predominant region of agglomeration, and the southeastern coastal area had stable good air quality.     

The evaluation of PM10, PM2.5, and PM1 concentrations during the Middle Eastern Dust (MED) events in Ahvaz,Iran, from april through september 2010

In this study, PM₁₀, PM_2.5, and PM₁ concentrations were measured from April through September 2010. These measurements were made every six days and on days with dust events using a Grimm Model 1.177 aerosol spectrometer. Meteorological data were also collected. Overall mean values of 319.6 ± 407.07, 69.5 ± 83.2, and 37.02 ± 34.9 μg/m³ were obtained for PM₁₀, PM_2.5, and PM₁, respectively, with corresponding maximum values of 5337.6, 910.9, and 495 μg/m³. The presence of the westerly prevailing wind implied that Iraq is the major source of dust events in this area. A total of 72 dust days and 711 dust hours occurred in the study area. The dust events occurred primarily during July. The longest dust event during the study period occurred in July, lasted five days, and had a peak concentration of 2028 μg/m³. These high concentrations produced AQI values of up to 500. A total estimated mortality and morbidity of 1131 and 8157 cases, respectively, can be attributed to these concentrations. The results of this study indicated the importance of dust events in Ahvaz and their possible health impacts. The study also demonstrated the need to design and implement intergovernmental management schemes to effectively mitigate such events.     

基于GIS的中国人居环境指数模型的建立与应用

以1km×1km 栅格为基本单元, 选取地形、气候、水文、植被等自然因子, 构建了基 于人居环境指数的中国人居环境自然适宜性评价模型, 运用GIS 技术, 定量评价了中国不同 地区的人居环境自然适宜性, 揭示了中国人居环境的自然格局与地域特征。研究表明： 中国 人居环境指数整体呈现由东南沿海向西北内陆递减的趋势; 人居环境指数与人口密度显著相 关, 二者的对数曲线拟合度R² 值高达0.87, 人居环境指数可以综合反映区域人居环境的自然 适宜程度。中国人居环境自然适宜性评价结果显示, 中国人居环境适宜地区430.47×10⁴ km² , 接近国土面积的45%, 相应人口占全国的96.56%, 其中3/4 以上的人口集聚在约占1/4 人居 环境高度适宜和比较适宜地区; 中国人居环境临界适宜地区225.11×10⁴ km² , 占国土面积的 23.45%, 相应人口4112 万, 占全国的3.24%, 人口密度每平方公里18 人, 是中国人居环境 适宜与否的过渡地区; 中国人居环境不适宜地区304.42×10⁴ km², 人口249 万, 不到全国的 0.2%, 人口密度每平方公里不足1 人, 大片地区沦为“无人区”。     

The cumulative characteristics of PAEs in PM2.5 in Changji,Northwest China

ABSTRACT

This paper discusses characteristics of the seasonal variation in phthalate acid esters (PAEs) in the PM_2.5 in the city of Changji, which is located an arid area of Xinjiang Province, northwest China. Samples were collected using a Laoying 2030 median discharge intelligent total suspended particulate (TSP) sampler and analyzed by a Shimadzu GC-2010 gas chromatograph. The results showed that PAEs in PM_2.5 were mainly composed of phthalic acid dibutyl phthalate (DBP) and phthalic acid (2-)ethyl hexyl ester (DEHP). DBP and DEHP are the most commonly used plasticizers, accounting for the majority of plasticizers used, and have large environmental emissions. Compared with the proportions of TSPs, proportions of DBP and DEHP in the PM_2.5 were lower, while the proportions of DMP and DEP were higher. A correlation exists between the distribution of PAEs and the particle size and concentration of atmospheric particulates. Seasonal variations in DBP and DEHP were the same, with lowest concentrations in the summer. Although seasonal variation in DMP was not the same as those of DBP and DEHP, the general trend was similar. Seasonal variation in DEP was different from those of other PAEs. This pattern is related to PAE characteristics and seasonal variations in their sources.     

21世纪初中国土地利用变化的空间格局与驱动力

Land use and land cover change as the core of coupled human-environment systems has become a potential field of land change science (LCS) in the study of global environmental change. Based on remotely sensed data of land use change with a spatial resolution of 1 km × 1 km on national scale among every 5 years, this paper designed a new dynamic regionalization according to the comprehensive characteristics of land use change including regional differentiation, physical, economic, and macro-policy factors as well. Spatial pattern of land use change and its driving forces were investigated in China in the early 21st century. To sum up, land use change pattern of this period was characterized by rapid changes in the whole country. Over the agricultural zones, e.g., Huang-Huai-Hai Plain, the southeast coastal areas and Sichuan Basin, a great proportion of fine arable land were engrossed owing to considerable expansion of the built-up and residential areas, resulting in decrease of paddy land area in southern China. The development of oasis agriculture in Northwest China and the reclamation in Northeast China led to a slight increase in arable land area in northern China. Due to the "Grain for Green" policy, forest area was significantly increased in the middle and western developing regions, where the vegetation coverage was substantially enlarged, likewise. This paper argued the main driving forces as the implementation of the strategy on land use and regional development, such as policies of "Western Development", "Revitalization of Northeast", coupled with rapidly economic development during this period.     

未来10年我国不同生态区居民点建设占用耕地预测

通过以生态区为单位分析 ,预测 2 0 0 0～ 2 0 10年 10年间人口增长和居民点建设用地需求及其占用耕地面积。研究表明 :全国未来 10年人口净增加 12 6 96万 ,因人口增长造成的居民点建设用地需求 12 6 6 571hm2 ,其中占用耕地达 6 4 5545hm2 。耕地减少最多的是淮北平原、华北平原、长江下游平原、四川盆地丘陵、长江中游平原、闽粤丘陵平原、汾渭谷地等平原区。