长江三角洲城市群空气质量时空分布特征

doi:10.11870/cjlyzyyhj201705005

摘要/Abstract

摘要： 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O₃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O₃没有明显相关性，为长三角大气污染防治提供依据。

关键词: 长三角城市群, 时空分布, AQI, GIS, 相关性

Abstract: The spatial-temporal distribution characteristics of the concentrations of air pollution factor and AQI of urban agglomeration in Yangtze River Delta (YRD) were studied using spatial interpolation technique, correlation analysis and GIS. By extracting the spatial distribution data of urban agglomeration in the YRD according to the State Council's latest plan, the current study area were divided into ‘a core area and five metropolitan areas’. We analyzed temporal variation characteristics of AQI, spatial distribution of AQI and primary pollutants, and quantitatively evaluated the relationships between AQI and their influencing factors. The results showed that seasonal variation of air quality in the urban agglomeration in YRD was the best in summer and the worst in winter; the mean concentration of each month was the highest in January; AQI reached the maximum value in the second half of the week from the weeks mean change. The spatial gradient of AQI significantly changed in the spring, autumn and winter, showing a distribution pattern in which AQI was high in the north area and low in the south, while the AQI in summer had little change in the spatial gradient, and the spatial variation was not obvious. The primary pollutants in the Yangtze River Delta were PM_2.5 and O₃. The main pollutant in Shanghai and Ningbo metropolitan area was O₃. The main pollutant in Su-Xi-Chang area and Hefei metropolitan area was PM_2.5. The spatial distribution of PM_2.5 in the 26 cities of the Yangtze River Delta city group was similar to that of AQI and the distribution of O₃ was high in the east and low in the west in the YRD. From O₃ spatial distribution, we can see that the relatively high level of ozone in the city is relatively high. Finally, by correlation calculation, significant correlation was found between AQI and PM_2.5 and no significant correlation was found between O₃ and AQI. These studies provided the basis for the prevention and control of atmospheric pollution in the YRD.

Key words: urban agglomeration in the Yangtze River Delta, spatial-temporal distribution, AQI, GIS, correlation

中图分类号:

X511

陈优良, 陶天慧, 丁鹏. 长江三角洲城市群空气质量时空分布特征[J]. 长江流域资源与环境, 2017, 26(05): 687-697.

CHEN You-liang, TAO Tian-hui, DING Peng. SPATIAL-TEMPORAL DISTRIBUTION CHARACTERISTICS OF AIR QUALITY IN THE URBAN AGGLOMERATION OF THE YANGTZE RIVER DELTA[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2017, 26(05): 687-697.

参考文献

[1] 邓霞君,蔡振群,项晓美,等.浙江省空气质量及主要气象因子的影响分析[J].环境科学与技术,2014,37(S2):372-377,395.[DENG X X,CAI Z Q,XIANG X M,et al.Air quality in Zhejiang Province and the impact of main meteorological elements[J].Environmental Science&Technology,2014,37(S2):372-377,395.]
[2] 石元春.中国雾霾的产生机理及应对策略研究[J].陕西电力,2013,41(4):1-4.[SHI Y C.Frog haze production mechanism&treatment strategy in China[J].Shaanxi Electric Power,2013,41(4):1-4.]
[3] 白爱民.AQI vs API——新老空气质量标准之对比[J].环境科学导刊,2013,32(6):95-97.[BAI A M.AQI vs API:a comparison of new and old air quality standards[J].Environmental Science Survey,2013,32(6):95-97.]
[4] 范庆亚,陈功勋.上海市空气污染指数API的时空分布特征[J].四川环境,2013,32(4):52-57.[FAN Q Y,CHEN G X.Research on the temporal and spatial distribution characteristics of API in Shanghai[J].Sichuan Environment,2013,32(4):52-57.]
[5] 詹长根,吴艺,韦淑贞,等.基于GIS的武汉市AQI时空分布规律研究[J].地理空间信息,2014,12(5):62-64.[ZHAN C G,WU Y,WEI S Z,et al.Spatio-temporal distribution of AQI in Wuhan based on GIS[J].Geospatial Information,2014,12(5):62-64.]
[6] 施益强,王坚,张枝萍.厦门市空气污染的空间分布及其与影响因素空间相关性分析[J].环境工程学报,2014,8(12):5406-5412.[SHI Y Q,WANG J,ZHANG Z P.Analysis on spatial distribution of air pollution and its spatial correlation with influencing factors in Xiamen City[J].Chinese Journal of Environmental Engineering,2014,8(12):5406-5412.]
[7] 王占山,李云婷,陈添,等.2013年北京市PM_2.5的时空分布[J].地理学报,2015,70(1):110-120.[WANG Z S,LI Y T,CHEN T,et al.Spatial-temporal characteristics of PM_2.5 in Beijing in 2013[J].Acta Geographica Sinica,2015,70(1):110-120.]
[8] 云慧,何凌燕,黄晓锋,等.深圳市PM_2.5化学组成与时空分布特征[J].环境科学,2013,34(4):1245-1251.[YUN H,HE L Y,HUANG X F,et al.Characterising seasonal variation and spatial distribution of PM_2.5 species in Shenzhen[J].Environmental Science,2013,34(4):1245-1251.]
[9] 王昂扬,潘岳,童岩冰.长三角主要城市空气污染时空分布特征研究[J].环境保护科学,2015,41(5):131-136.[WANG A Y,PAN Y,TONG Y B.Research of temporal and spatial distribution of air pollution in the major cities of the Yangtze River Delta[J].Environmental Protection Science,2015,41(5):131-136.]
[10] 吴蒙,彭慧萍,范绍佳,等.珠江三角洲区域空气质量的时空变化特征[J].环境科学与技术,2015,38(2):77-82.[WU M,PENG H P,FAN S J,et al.Distribution characteristics of regional air quality in the pearl river delta[J].Environmental Science&Technology,2015,38(2):77-82.]
[11] 刘永伟,闫庆武,黄杰,等.基于GIS的中国API指数时空分布规律研究[J].生态环境学报,2013,22(8):1386-1394.[LIU Y W,YAN Q W,HUANG J,et al.Spatio-temporal distribution of API based on GIS in China[J].Ecology and Environmental Sciences,2013,22(8):1386-1394.]
[12] 朴锦泉,马民涛,刘张强.长三角地区三大城市空气质量对比分析[J].中国人口·资源与环境,2015,25(S2):329-332.[PIAO J Q,MA M T,LIU Z Q.A comparative study of air quality in three cities of Yangtze River Delta[J].China Population,Resources and Environment,2015,25(S2):329-332.]
[13] 姚利,刘进,潘月鹏,等.北京大气颗粒物和重金属铅干沉降通量及季节变化[J].环境科学,2017,38(2):423-428.[YAO L,LIU J,PAN Y P,et al.Atmospheric dry deposition fluxes and seasonal variations of particulate matter and lead in urban Beijing[J].Environmental Science,2017,38(2):423-428.]
[14] 高庆先,刘俊蓉,李文涛,等.中美空气质量指数(AQI)对比研究及启示[J].环境科学,2015,36(4):1141-1147.[GAO Q X,LIU J R,LI W T,et al.Comparative analysis and inspiration of air quality index between China and America[J].Environmental Science,2015,36(4):1141-1147.]
[15] 潘耀忠,龚道溢,邓磊,等.基于DEM的中国陆地多年平均温度插值方法[J].地理学报,2004,59(3):366-374.[PAN Y Z,GONG D Y,DENG L,et al.Smart distance searching-based and DEM-informed interpolation of surface air temperature in China[J].Acta Geographica Sinica,2004,59(3):366-374.]
[16] 赵阳,邵敏,王琛,等.被动采样监测珠江三角洲NO_x、SO₂和O₃的空间分布特征[J].环境科学,2011,32(2):324-329.[ZHAO Y,SHAO M,WANG C,et al.Characterizing spatial patterns of NO_x,SO₂ and O₃ in Pearl River Delta by passive sampling[J].Environmental Science,2011,32(2):324-329.]
[17] 易睿,王亚林,张殷俊,等.长江三角洲地区城市臭氧污染特征与影响因素分析[J].环境科学学报,2015,35(8):2370-2377.[YI R,WANG Y L,ZHANG Y J,et al.Pollution characteristics and influence factors of ozone in Yangtze River Delta[J].Acta Scientiae Circumstantiae,2015,35(8):2370-2377.]
[18] 刘芷君,谢小训,谢旻,等.长江三角洲地区臭氧污染时空分布特征[J].生态与农村环境学报,2016,32(3):445-450.[LIU Z J,XIE X X,XIE M,et al.Spatio-temporal distribution of ozone pollution over Yangtze River Delta Region[J].Journal of Ecology and Rural Environment,2016,32(3):445-450.]
[19] 晏星,马小龙,赵文慧.基于不同插值方法的PM1污染物浓度研究[J].测绘,2010,33(4):172-175.[YAN X,MA X L,ZHAO W H.Research on the PM1 pollutant concentration based on different interpolation method[J].Surveying and Mapping,2010,33(4):172-175.]
[20] 戴昭鑫,张云芝,胡云锋,等.基于地面监测数据的2013~2015年长三角地区PM_2.5时空特征[J].长江流域资源与环境,2016,25(5):813-821.[DAI Z X,ZHANG Y Z,HU Y F,et al.Spatial-temporal characteristics of PM_2.5 in Yangtze River Delta (YRD) region based on the ground monitoring data from 2013-2015[J].Resources and Environment in the Yangtze Basin,2016,25(5):813-821.]
[21] 张静,吕军,项瑛,等.江苏省四季变化的分析[J].气象科学,2008,28(5):568-572.[ZHANG J,LV J,XIANG Y,et al.The analysis of Jiangsu Province's four seasons[J].Scientia Meteorologica Sinica,,2008,28(5):568-572.]
[22] 周美春.长三角与珠三角城市环境空气质量变化对比分析[J].环境研究与监测,2010,23(2):33-36.
[23] 李荔,刘倩,李冰,等.南京青奥会期间管控措施空气质量改善效果评估[J].环境科学研究,2016,29(2):175-182.[LI L,LIU Q,LI B,et al.Assessment of air quality benefits from control measures during Nanjing Youth Olympic Games[J].Research of Environmental Sciences,2016,29(2):175-182.]
[24] 赵晨曦,王云琦,王玉杰,等.北京地区冬春PM_(2.5)和PM₍₁₀₎污染水平时空分布及其与气象条件的关系[J].环境科学,2014,35(2):418-427.[ZHAO C X,WANG Y Q,WANG Y J,et al.Temporal and spatial distribution of PM_2.5 and PM₁₀ pollution status and the correlation of particulate matters and meteorological factors during winter and spring in Beijing[J].Environmental Science,2014,35(2):418-427.]
[25] LI L,QIAN J,OU C Q,et al.Spatial and temporal analysis of air pollution index and its timescale-dependent relationship with meteorological factors in Guangzhou,China,2001-2011[J].Environmental Pollution,2014,190:75-81.
[26] 宋宇,唐孝炎,方晨,等.北京市大气细粒子的来源分析[J].环境科学,2002,23(6):11-16.[SONG Y,TANG X Y,FANG C,et al.Source apportionment on fine particles in Beijing[J].Environmental Science,2002,23(6):11-16.]
[27] ZHANG R J,XU Y F,HAN Z W.Inorganic chemical composition and source signature of PM_2.5 in Beijing during ACE-Asia period[J].Chinese Science Bulletin,2003,48(10):1002-1005.
[28] 刘淼,顾吉林,刘丽娟,等.基于AQI数据的大连夏季空气质量分析[J].大气与环境光学学报,2016,11(2):111-117.[LIU M,GU J L,LIU L J,,et al.Air quality analysis of Dalian in summer based on AQI data[J].Journal of Atmospheric and Environmental Optics,2016,11(2):111-117.]
[29] 贾梦唯,赵天良,张祥志,等.南京主要大气污染物季节变化及相关气象分析[J].中国环境科学,2016,36(9):2567-2577.[JIA M W,ZHAO T L,ZHANG X Z,et al.Seasonal variations in major air pollutants in Nanjing and their meteorological correlation analyses[J].China Environmental Science,2016,36(9):2567-2577.]

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