Temporal-spatial variations of concentrations of PM10 and PM2.5 in ambient air

• Autorzy: Jie L. , Kepeng H. , Xiaodong W. , Peng Y.
• Języki publikacji: EN

Abstrakty

EN

Since the space points’ average concentrations of PM obtained by air quality automatic monitoring sites were less representative of PM pollution levels in the Beijing area, it was necessary to improve the spatial resolution of PM concentrations on the basis of continuous time series. In order to solve the problem, we used one-hour average concentrations of PM from March 2013 to February 2014 obtained by monitoring sites. Firstly, concentration variations with time scale of PM2.5 and PM10 were researched to find out their correlations and pollution grades in continuous time series. Secondly, in order to realize the spatial distribution characteristics from points to surfaces, MATLAB spatial interpolation tools were used to predict the average concentrations of PM on any latitude-longitude grid in regional surface, then spatial interpolation on longitudes and latitudes, and the PM concentrations were researched by radial basis functions based on biharmonic green function. Finally, by constructing decision functions and sample sets, the interpolation results were tested by k-fold cross validation to analyze the error distribution between monitoring values and fitted values, and then they were compared with Kriging interpolation results realized by DACE tool in MATLAB. The results showed there were periodical variations and significant correlations on the average concentrations of PM from March 2013 to February 2014 in Beijing. The PM pollutions also had obvious regional characteristics. Interpolation results of radial basis function interpolation on PM concentrations could represent their spatial distribution in Beijing, since the method had a certain precision to improve utilization of spatial information. Moreover, the analysis showed that the main factors of PM pollution were dust storms and strong winds in spring and autumn, rainfall and the warm wet climate in summer, and cold fronts and snowfall in winter. Pollution characteristics in the Beijing area were higher in the south and lower in the north, and the pollution sources might be regional transport as well as local anthropogenic sources. The conjoint analysis on time series and spatial interpolation of concentrations had significance for further research of time-space relationship of PM, and it also provided a method for understanding regional pollution characteristics.

• Wydawca: -
• Czasopismo: Polish Journal of Environmental Studies
• Rocznik: 2016
• Tom: 25
• Numer: 6
• Opis fizyczny: P.2435-2444,fig.,ref.

Twórcy

autor

Jie L.

• Faculty of Land and Resources Engineering, Kunming University of Science and Technology, Kunming, China
• Postdoctorate Station of Mining Industry Engineering, Kunming University of Science and Technology, Kunming, China

autor

Kepeng H.

• Faculty of Land and Resources Engineering, Kunming University of Science and Technology, Kunming, China
• Postdoctorate Station of Mining Industry Engineering, Kunming University of Science and Technology, Kunming, China

autor

Xiaodong W.

• Faculty of Land and Resources Engineering, Kunming University of Science and Technology, Kunming, China
• Postdoctorate Station of Mining Industry Engineering, Kunming University of Science and Technology, Kunming, China

autor

Peng Y.

• Beijing Key Laboratory of Information Service Engineering, Beijing Union University, Beijing, China

Bibliografia

• 1. Cetin M. A Change in the Amount of CO2 at the Center of the Examination Halls: Case Study of Turkey. Ethno Med. 10 (2), 146, 2016.
• 2. Cetin M., Sevik H. Measuring the Impact of Selected Plants on Indoor CO2 Concentrations. Polish Journal of Environmental Studies. 14 (6), 781, 2005.
• 3. Sevik H., Cetin M., Belkayali N. Effects of Forestson Amounts of CO2: Case Study of Kastamonu and Ilgaz Mountain National Parks. 24 (1), 253, 2015.
• 4. Yang L.X., Zhou X.H. Wang Z., Zhou Y., Cheng S., Xu P.J., Gao X.M., Nie X.F., Wang X.F., Wang W. X. Airborne fine particulate pollution in Jinan, China: Concentrations, chemical compositions and influence on visibility impairment. Atmospheric Environment. 55, 506, 2012.
• 5. Qiu H., Yu I.T., Tian L.W., Wang X.R., Tse L.A., Tam W., Wong T.W. Effects of coarse particulate matter on emergency hospital admissions for respiratory diseases: a time-series analysis in Hong Kong. Environmental Health Perspectives. 120 (4), 572, 2012.
• 6. Lepeule J., Laden F., Dockery D., Schwartz J. Chronic Exposure to Fine Particles and Mortality: An Extended Follow-up of the Harvard Six Cities Study from 1974 to 2009. Environmental Health Perspectives. 120 (7), 965, 2012.
• 7. Kazil J., Stier P., Zhang K., Quaas J., O’Donnell D., Rast S., Esch M., Ferrachat S., Lonhmann J., Feichter J. Aerosol nucleation and its role for clouds and Earth›s radiative forcing in the aerosol-climate model ECHAM5-HAM. Atmospheric Chemistry and Physics. 10 (22), 10733, 2010.
• 8. Zhang K., Donnell D.O., Kazil J., Stier P. The global aerosol-climate model ECHAM-HAM, version 2: sensitivity to improvements in process representations. Atmospheric Chemistry and Physics. 12 (3), 8911, 2012.
• 9. Aaron V.D., Randall V.M., Michael B.,Ralph K., Robet L., Carolyn V., Paul J.V. Global estimates of ambient fine particulate matter concentrations from environ satellite-based aerosol optical depth: development and application. Environment Health Perspectives. 118 (6), 847, 2010.
• 10. Zhao Q., He K.B., Ma Y.L., Jia Y.T., Chen Y., Liu H., Wang S.W. Regional PM pollution in Beijing and surrounding area during summertime. Environmental Sciences. 30 (7), 1873, 2009.
• 11. Montero J.M., Chasco C. Building an environmental quality index for a big city: a spatial interpolation approach combined with a distance indicator. Journal of Geographical Systems. 12 (4), 435, 2010.
• 12. Li J., Heap A.D. A review of comparative studies of spatial interpolation methods in environmental sciences: performance and impact factors. Ecological Informatics. 6 (3-4), 228, 2011.
• 13. Xie Y., Chen T., Lei M., Yang J., Guo Q.J., Song B., Zhou X.Y. Spatial distribution of soil heavy metal pollution estimated by different interpolation methods: Accuracy and uncertainty analysis. Chemosphere. 82 (3), 468, 2011.
• 14. Davis T.H., Aelion M., McDermott S., Lawson A.B. Identifying natural and anthropogenic sources of metals in urban and rural soils using GIS-based data, PCA, and spatial interpolation. Environmental Pollution. 157 (8-9), 2378, 2009.
• 15. Hofstra N., New M., Mcsweeney C. The influence of interpolation and station network density on the distributions and trends of climate variables in gridded daily data. Climate Dynamics. 35 (5), 841, 2009.
• 16. Aalto J., Pirinen P., Heikkinen J.,Venalainen A. Spatial interpolation of monthly climate data for Finland: comparing the performance of kriging and generalized additive models. Theoretical and Applied Climatology. 112 (1), 99, 2013.
• 17. He K.B., Jia Y.T., Ma Y.L., Lei Y., Zhao Q., Tanaka S., Okuda T. Regionality of episodic aerosol pollution in Beijing. Acta Scientiae Circumstantiae, 29 (3), 482, 2009.
• 18. Tai A. P.K., Mickley L.J., Jacob D.J. Correlations between fine particulate matter (PM2.5) and meteorological variables in the United States: Implications for the sensitivity of PM2.5 to climate change. Atmospheric Environment. 44 (32), 3976, 2010.
• 19. Pan B.F., Zhao Y.L., Li J.J., Wang R.B. Analysis of the scavenging efficiency on PM2.5 concentration of some kinds of meteorological factors. Environmental Science and Technology. 25 (6), 41, 2012.
• 20. Wang Y., Liu Y.P., Li J., B., Liu L.T. The effect of PM2.5/PM10 Variation based on Precipitable Water Vapor Wind Speed [J]. Journal of Catastrophology. 30 (1), 5, 2015.
• 21. Ministry of Environmental Protection of China. The 12th five-year environmental monitoring work manual. China Environmental Science Press. 292, China, 2012.
• 22. Deng X., Tang Z. Moving Surface Spline Interpolation Based on Green’s Function. Mathematical Geosciences. 43 (6), 663, 2011.
• 23. Wang T., Nie W., Gao J., Xue L.K., Gao X.M., Wang X.F., Qiu J., Poon C.N., Meinardi S., Blake D., Wang S.L., Ding A.J., Chai F.H., Zhang Q.Z., Wang W.X. Air quality during the 2008 Beijing Olympics: secondary pollutants and regional impact. Atmospheric Chemistry and Physics. 10 (16), 7603, 2010

Identyfikatory

DOI

10.15244/pjoes/63661