Adv Search
Volume 27 Issue 5
. 
Turn off MathJax
Article Contents
Article Navigation >  Chinese Geographical Science  > 2017  >  27(5): 836-846

CHEN Tan, DENG Shulin, GAO Yu, QU Lean, LI Manchun, CHEN Dong. Characterization of Air Pollution in Urban Areas of Yangtze River Delta, China[J]. Chinese Geographical Science, 2017, 27(5): 836-846. doi: 10.1007/s11769-017-0900-z
Citation: CHEN Tan, DENG Shulin, GAO Yu, QU Lean, LI Manchun, CHEN Dong. Characterization of Air Pollution in Urban Areas of Yangtze River Delta, China[J]. Chinese Geographical Science, 2017, 27(5): 836-846. doi: 10.1007/s11769-017-0900-z
shu

Characterization of Air Pollution in Urban Areas of Yangtze River Delta, China

doi: 10.1007/s11769-017-0900-z
  • 1.

    Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing 210023, China;

  • 2.

    Department of Geographic Information Science, Nanjing University, Nanjing 210093, China;

  • 3.

    Collaborative Innovation Center of South China Sea Studies, Nanjing University, Nanjing 210093, China;

  • 4.

    College of Territorial Resources and Tourism, Anhui Normal University, Wuhu 241000, China

Funds:  Under the auspices of Special Research Fund of the Ministry of Land and Resources for the Non-Profit Sector (No.201411014-03),National Key Technology Research and Development Program of China (No.2012BAH28B04)
More Information
  • Corresponding author: LI Manchun,E-mail:limanchun@nju.edu.cn
  • Received Date: 2016-12-05
  • Rev Recd Date: 2017-02-20
  • Publish Date: 2017-10-27
  • The hallmark of development in the Yangtze River Delta (YRD) of East China has been sprawling urbanization. However, air pollution is a significant problem in these urban areas. In this paper, we investigated and analyzed the air pollution index (API) in four cities (Shanghai, Nanjing, Hangzhou and Ningbo) in the YRD from 2001 to 2012. We attempted to empirically examine the relationship between meteorological factors and air quality in the urban areas of the YRD. According to the monitoring data, the API in Shanghai, Nanjing, Hangzhou slightly declined and that in Ningbo increased over the study period. We analyzed the inter-annual, seasonal, and monthly variations of API, from which we found that the air quality had different temporal changes in the four cities. It was indicated that air quality was poor in winter and spring and best in summer. Furthermore, different weather conditions affected air quality level. The wind direction was considered as an important and influential factor to air pollution, which has an impact on the accumulating or cleaning processes of pollutants. The air quality was influenced by the different wind directions that varied with seasons and cities.
  • [1] Akyüz M, Çabuk H, 2009. Meteorological variations of PM2.5/PM10 concentrations and particle-associated polycyclic aromatic hydrocarbons in the atmospheric environment of Zonguldak, Turkey. Journal of Hazardous Materials, 170(1):13-21. doi: 10.1016/j.jhazmat.2009.05.029
    [2] Chan C K, Yao X H, 2008. Air pollution in mega cities in China. Atmospheric Environment, 42(1):1-42. doi: 10.1016/j.atmosenv.2007.09.003
    [3] Che H, Zhang X., Li Y et al., 2009. Haze trends over the capital cities of 31 provinces in China, 1981-2005. Theoretical and Applied Climatology, 97(3):235-242. doi: 10.1007/s00704-008-0059-8
    [4] Clark L P, Millet D B, Marshall J D, 2011. Air quality and urban form in U.S. urban areas:evidence from regulatory monitors. Environmental Science & Technology, 45(45):7028-7035. doi: 10.1021/es2006786
    [5] Cleveland R B, Cleveland W S, 1990. STL:a seasonal-trend decomposition procedure based on Loess. Journal of Official Statistics, 6(1):3-33.
    [6] Daubechies I, 1990. The wavelet transform, time-frequency localization and signal analysis. IEEE Transactions on Information Theory, 36(5):961-1005. doi: 0018-9448/90/0900-0961
    [7] Deng J J, Wang T J, Jiang Z Q et al., 2011. Characterization of visibility and its affecting factors over Nanjing, China. Atmospheric Research, 101(3):681-691. doi:10.1016/j. atmosres.2011.04.016
    [8] Dominick D, Juahir H, Latif M T et al., 2012. Spatial assessment of air quality patterns in Malaysia using multivariate analysis. Atmospheric Environment, 60(11):172-181. doi: 10.1016/j.atmosenv.2012.06.021
    [9] Fu X, Wang S, Zhao B et al., 2013. Emission inventory of primary pollutants and chemical speciation in 2010 for the Yangtze River Delta region, China. Atmospheric Environment, 70(70):39-50. doi: 10.1016/j.atmosenv.2012.12.034
    [10] García-Mozo H, Yaezel L, Oteros J et al., 2014. Statistical approach to the analysis of olive long-term pollen season trends in southern Spain. Science of the Total Environment, s473-474(3):103-109. doi: 10.1016/j.scitotenv.2013.11.142
    [11] Gong J, Hu Y, Liu M et al., 2015. Characterization of atmospheric pollution index and its affecting factors in industrial urban areas in Northeast China. Polish Journal of Environmental Studies, 24(4):1579-1592. doi: 10.15244/pjoes/37757
    [12] Gurjar B R, Butler T M, Lawrence M G et al., 2008. Evaluation of emissions and air quality in megacities. Atmospheric Environment, 42(7):1593-1606. doi:10.1016/j.atmosenv.2007. 10.048
    [13] Harlan S L, Ruddell D M, 2011. Climate change and health in cities:Impacts of heat and air pollution and potential co-benefits from mitigation and adaptation. Current Opinion in Environmental Sustainability, 3(3):126-134. doi: 10.1016/j.cosust.2011.01.001
    [14] Huang K, Zhuang G, Lin Y et al., 2011. Typical types and formation mechanisms of haze in an Eastern Asia megacity, Shanghai. Atmospheric Chemistry & Physics Discussions, 12(1):105-124. doi: 10.5194/acp-12-105-2012
    [15] Ji D, Pan Y, Wang Y, 2012. Analysis of the heavy pollution episodes in selected cities of northern China. Atmospheric Environment, 50(3):338-348. doi: 10.1016/j.atmosenv.2011.11.053
    [16] Gao L, Jia G, Zhang R et al., 2011. Visual range trends in the Yangtze River Delta region of China, 1981-2005. Journal of the Air & Waste Management Association, 61(8):843-849.doi: 10.3155/1047-3289.61.8.843
    [17] Jiang J, Zhang J, Zhang Y et al., 2016. Estimating nitrogen oxides emissions at city scale in China with a nightlight remote sensing model. Science of the Total Environment, 544:1119-1127.doi: 10.1016/j.scitotenv.2015.11.113
    [18] López R E, Thomas V, Wang Y, 2008. The quality of growth:Fiscal policies for better results. IEG World Bank Working Paper2008-6. Washington D.C.:The World Bank Press, 34-38.
    [19] Li J, Lu K, Wei L et al., 2014. Fast increasing of surface ozone concentrations in Pearl River Delta characterized by a regional air quality monitoring network during 2006-2011. Journal of Environmental Sciences-China, 26(1):23-36. doi:10.1016/S 1001-0 742(13)60377-0
    [20] Li L, Qian J, Ou C Q et al., 2014. Spatial and temporal analysis of Air Pollution Index and its timescale-dependent relationship with meteorological factors in Guangzhou, China, 2001-2011. Environmental Pollution, 190(7):75-81. doi:10.1016/j.envpol. 2014. 03.020
    [21] Liao J, Wang T, Wang X et al., 2014. Impacts of different urban canopy schemes in WRF/Chem on regional climate and air quality in Yangtze River Delta, China. Atmospheric Research, s145-146:226-243. doi: 10.1016/j.atmosres.2014.04.005
    [22] Masiol M, Agostinelli C, Formenton G et al., 2014. Thirteen years of air pollution hourly monitoring in a large city:potential sources, trends, cycles and effects of car-free days. Science of the Total Environment, s494-495:84-96. doi:10.1016/j.scitotenv.2014.0 6.122
    [23] Mishra S R, Pradhan R P, Prusty B A et al., 2016. Meteorology drives ambient air quality in a valley:A case of Sukinda chromite mine, one among the ten most polluted areas in the world. Environmental Monitoring & Assessment, 188(7):1-17. doi:10.1007/s10661-0 16-5393-1
    [24] Nalley D, Adamowski J, Khalil B et al., 2013. Trend detection in surface air temperature in Ontario and Quebec, Canada during 1967-2006 using the discrete wavelet transform. Atmospheric Research, 132:375-398. doi:10.1016/j.atmosres.2013. 06.011
    [25] Özden Ö, Dö?ero?lu T, Kara S, 2008. Assessment of ambient air quality in Eski?ehir, Turkey. Environment International, 34(5):678-687. doi: 10.1016/j.envint.2007.12.016
    [26] Song Y, Qin S, Qu J et al., 2015. The forecasting research of early warning systems for atmospheric pollutants:a case in Yangtze River Delta region. Atmospheric Environment, 118:58-69. doi: 10.1016/j.atmosenv.2015.06.032
    [27] Stein A F, Draxler R R, Rolph G D et al., 2016. NOAA's HYSPLIT atmospheric transport and dispersion modeling system. Bulletin of the American Meteorological Society, 96(12):2059-2078. doi: 10.1175/BAMS-D-14-00110.1
    [28] Tang Y, An J, Li Y et al., 2014. Uncertainty in the uptake coefficient for HONO formation on soot and its impacts on concentrations of major chemical components in the Beijing-TianjinHebei region. Atmospheric Environment, 84(1):163-171. doi:10.1016/j.at mosenv.2013.11.034
    [29] Theodosiou M, 2011. Forecasting monthly and quarterly time series using STL decomposition. International Journal of Forecasting, 27(4):1178-1195. doi:10.1016/j.ijforecast. 2010.11.002
    [30] Tian G, Zhi Q, Xu X, 2014. Characteristics of particulate matter(PM10) and its relationship withmeteorological factors during 2001-2012 in Beijing. Environmental Pollution, 192:266-274. doi: 10.1016/j.envpol.2014.04.036
    [31] Unal Y S, Toros H, Deniz A et al., 2011. Influence of meteorological factors and emission sources on spatial and temporal variations of PM10 concentrations in Istanbul metropolitan area. Atmospheric Environment, 45(31):5504-5513. doi:10. 1016/j.atmosen v.2011.06.039
    [32] Wang S, Nan J, Shi C et al., 2015. Atmospheric ammonia and its impacts on regional air quality over the megacity of Shanghai, China. Scientific Reports, 5:15842-15855. doi: 10.1038/srep15842
    [33] Wang T, Wong C H, Cheung T F et al., 2004. Relationships of trace gases and aerosols and the emission characteristics at Lin'an, a rural site in eastern China, during spring 2001. Journal of Geophysical Research Atmospheres, 109(D19S05):1-16. doi:10.1029/2 003JD004119
    [34] Wang T, Jiang F, Deng J et al., 2012. Urban air quality and regional haze weather forecast for Yangtze River Delta region. Atmospheric Environment, 58(15):70-83. doi: 10.1016/j.atmosenv.2012.01.014
    [35] Xiao Z M, Zhang Y F, Hong S M et al., 2011. Estimation of the main factors influencing haze, based on a long-term monitoring campaign in Hangzhou, China. Aerosol & Air Quality Research, 11(7):873-882. doi: 10.4209/aaqr.2011.04.0052
    [36] Yu B, Huang C, Liu Z et al., 2011. A chaotic analysis on air pollution index change over past 10 years in Lanzhou, Northwest China. Stochastic Environmental Research & Risk Assessment, 25(5):643-653. doi: 10.1007/s00477-011-0471-y
    [37] Zhang X Y, Wang J Z, Wang Y Q et al., 2015. Changes in chemical components of aerosol particles in different haze regions in China from 2006 to 2013 and contribution of meteorological factors. Atmospheric Chemistry & Physics, 15(2):12935-12952. doi: 10.5194/acp-15-12935-2015
    [38] Zhao P, Fan D, Yang Y et al., 2013. Characteristics of carbonaceous aerosol in the region of Beijing, Tianjin, and Hebei, China. Atmospheric Environment, 71(3):389-398. doi:10. 1016/j.atmosenv.2013.02.010
  • 加载中
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索
Get Citation
PDF
XML

Article Metrics

Article views(445) PDF downloads(636) Cited by()

Proportional views
Related

Characterization of Air Pollution in Urban Areas of Yangtze River Delta, China

doi: 10.1007/s11769-017-0900-z
  • 1. Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing 210023, China;
  • 2. Department of Geographic Information Science, Nanjing University, Nanjing 210093, China;
  • 3. Collaborative Innovation Center of South China Sea Studies, Nanjing University, Nanjing 210093, China;
  • 4. College of Territorial Resources and Tourism, Anhui Normal University, Wuhu 241000, China
Funds:  Under the auspices of Special Research Fund of the Ministry of Land and Resources for the Non-Profit Sector (No.201411014-03),National Key Technology Research and Development Program of China (No.2012BAH28B04)
    Corresponding author: LI Manchun,E-mail:limanchun@nju.edu.cn
  • Received Date: 2016-12-05
  • Rev Recd Date: 2017-02-20
  • Publish Date: 2017-10-27

Abstract: The hallmark of development in the Yangtze River Delta (YRD) of East China has been sprawling urbanization. However, air pollution is a significant problem in these urban areas. In this paper, we investigated and analyzed the air pollution index (API) in four cities (Shanghai, Nanjing, Hangzhou and Ningbo) in the YRD from 2001 to 2012. We attempted to empirically examine the relationship between meteorological factors and air quality in the urban areas of the YRD. According to the monitoring data, the API in Shanghai, Nanjing, Hangzhou slightly declined and that in Ningbo increased over the study period. We analyzed the inter-annual, seasonal, and monthly variations of API, from which we found that the air quality had different temporal changes in the four cities. It was indicated that air quality was poor in winter and spring and best in summer. Furthermore, different weather conditions affected air quality level. The wind direction was considered as an important and influential factor to air pollution, which has an impact on the accumulating or cleaning processes of pollutants. The air quality was influenced by the different wind directions that varied with seasons and cities.

CHEN Tan, DENG Shulin, GAO Yu, QU Lean, LI Manchun, CHEN Dong. Characterization of Air Pollution in Urban Areas of Yangtze River Delta, China[J]. Chinese Geographical Science, 2017, 27(5): 836-846. doi: 10.1007/s11769-017-0900-z
Citation: CHEN Tan, DENG Shulin, GAO Yu, QU Lean, LI Manchun, CHEN Dong. Characterization of Air Pollution in Urban Areas of Yangtze River Delta, China[J]. Chinese Geographical Science, 2017, 27(5): 836-846. doi: 10.1007/s11769-017-0900-z
shu

    HTML

Reference (38)

Catalog

    Copyright © Editorial office of Chinese Geographical Science

    Tel: +86-0431-85542219   Email: egeoscien@neigae.ac.cn  

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return