Open Access
Issue
E3S Web Conf.
Volume 136, 2019
2019 International Conference on Building Energy Conservation, Thermal Safety and Environmental Pollution Control (ICBTE 2019)
Article Number 05001
Number of page(s) 5
Section Monitoring and Control of Air Pollution
DOI https://doi.org/10.1051/e3sconf/201913605001
Published online 10 December 2019
  1. Brunekreef, B. (2007) Health effects of air pollution observed in cohort studies in Europe. Journal of Exposure Science & Environmental Epidemiology, 17: S61–S65. [CrossRef] [PubMed] [Google Scholar]
  2. Cao, J., Yang, C. X., Li, J. X., Chen, R. J., Chen, B. H., Gu, D. F., et al. (2011) Association between long-term exposure to outdoor air pollution and mortality in China: A cohort study. Journal of Hazardous Materials, 186(2-3): 1594–1600. [CrossRef] [PubMed] [Google Scholar]
  3. Mirabelli, M. C., Boehmer, T. K., Damon, S. A., Sircar, K. D., Wall, H. K., & Yip, F. Y., et al. (2018) Air quality awareness among u.s. adults with respiratory and heart disease. American Journal of Preventive Medicine, S0749379718300692. [Google Scholar]
  4. Di, Q., Wang, Y., Zanobetti, A., Wang, Y., Koutrakis, P., & Choirat, C., et al. (2017) Air pollution and mortality in the medicare population. New England Journal of Medicine, 376(26),2513-2522. [CrossRef] [Google Scholar]
  5. Alvis-Zakzuk, Nelson J. & Jiménez, Diana & Hilarión-Gaitán, L. & Valencia, S. & Gutierrez-Clavijo, J. & Castañeda-Orjuela, Carlos. (2019). PMU35 ECONOMIC BURDEN OF AIR POLLUTION IN COLOMBIA. Value in Health. 22: S255. [CrossRef] [Google Scholar]
  6. Ni, X. Y., Huang, H., & Du, W. P. (2017) Relevance analysis and short-term prediction of PM2.5 concentrations in Beijing based on multi-source data. Atmospheric Environment, 150: 146–161. [Google Scholar]
  7. Liu J, Yuan L, Liu Y, et al. (2009) Analysis on Spatial-temporal Characteristics of Air Pollution during a Regional Haze Episode over Pearl River Delta [J]. Journal of environmental science, 28(4):78-82. [Google Scholar]
  8. Zhao, Y., & Hasan, Y. A. (2013) Comparison of three classification algorithms for predicting pm2.5 in Hong Kong rural area. Asian Journal of Scientific Research, 3(7):715-728. [Google Scholar]
  9. WANG Xiaohan, ZHANG Yanping, ZHAO Shu, et al. (2013) Air quality forecasting based on dynamic granular wavelet neural network. Computer Engineering and Applications, 49(6):221-224. [Google Scholar]
  10. Kumar, A., & Goyal, P. (2011) Forecasting of daily air quality index in delhi. Science of the Total Environment, 409(24): 5517-5523. [CrossRef] [Google Scholar]
  11. K. Bashir Shaban, A. Kadri and E. Rezk. (2016) Urban Air Pollution Monitoring System with Forecasting Models, IEEE Sensors Journal, vol. 16, no. 8, pp. 2598-2606. [Google Scholar]
  12. Contreras-Ochando, L., & Ferri, C. (2016) airVLC: An Application for Visualizing Wind-Sensitive Interpolation of Urban Air Pollution Forecasts. 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW). IEEE. [Google Scholar]
  13. Zhao, C., & Song, G. (2017) Application of data mining to the analysis of meteorological data for air quality prediction: A case study in Shenyang. Iop Conference Series: Earth & Environmental Science. IOP Conference Series: Earth and Environmental Science. [Google Scholar]
  14. Fan, J., Li, Q., Hou, J., Feng, X., Karimian, H. & Lin, S. (2017) A Spatiotemporal Prediction Framework for Air Pollution Based on Deep RNN. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 4:15. [CrossRef] [Google Scholar]
  15. Guo, H. (2019). Research and implementation on air quality prediction method deep learning based [D]. Beijing University of Posts and Telecommunications. [Google Scholar]
  16. Bartholomew, D., Box, G. E. P., & Jenkins, G. M. (1971) Time series analysis: forecasting and control. Journal of the Operational Research Society, 22(2),199-201. [CrossRef] [Google Scholar]
  17. Taylor SJ, Letham B. (2017) Forecasting at scale. https://doi.org/10.7287/peerj.preprints.3190v2 [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.