Skip to main content

A Study of the Correlation Between Livestock Data Analysis and the Concentration of PM2.5 - Using the Cloud Computing Platform

  • Conference paper
  • First Online:
Quality, Reliability, Security and Robustness in Heterogeneous Networks (QShine 2016)

Abstract

The subject of air pollution is paid increasing attention to in recent years. NH3 has significant effect on PM2.5, especially due to animal excrements and chemical fertilizer. Some PM2.5 monitoring data in Taiwan show that the concentration in south central Taiwan is apparently on the high side, and south central Taiwan has dense livestock and poultry. Therefore, this paper combines the livestock and poultry data opened by Taiwan Council of Agriculture (COA) with the PM2.5 data obtained by air monitoring stations opened by Taiwan Environmental Protection Administration (EPA), and uses SpatialHadoop to build a Cloud platform to analyze the correlation between Taiwan’s livestock data and the concentration of PM2.5. The analysis results show that the annual mean concentration of PM2.5 of the air monitoring station in the livestock and poultry dense region is higher than that in other regions by 33%.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. http://agrstat.coa.gov.tw/sdweb/public/book/Book.aspx

  2. https://en.wikipedia.org/wiki/Spherical_law_of_cosines

  3. http://hk.on.cc/cn/bkn/cnt/news/20140529/bkncn-20140529051643333-0529_05011_001_cn.html

  4. http://news.qq.com/a/20150301/022140.htm

  5. http://taqm.epa.gov.tw/taqm/en/YearlyDataDownload.aspx

  6. http://tgos.nat.gov.tw/tgos/web/tgos_home.aspx

  7. http://scitech.people.com.cn/BIG5/n1/2016/0222/c1007-28138290.html

  8. http://spatialhadoop.cs.umn.edu

  9. Aji, A., Wang, F., Vo, H., Lee, R., Liu, Q., Zhang, X., Saltz, J.: Hadoop GIS: a high performance spatial data warehousing system over MapReduce. Proc. VLDB Endow. 6(11), 1009–1020 (2013)

    Article  Google Scholar 

  10. Eldawy, A., Mokbel, M.F.: A demonstration of SpatialHadoop: an efficient MapReduce framework for spatial data. Proc. VLDB Endow. 6(12), 1230–1233 (2013)

    Article  Google Scholar 

  11. Eldawy, A., Alharthi, S., Alzaidy, A., Daghistani, A., Ghani, S., Basalamah, S., Mokbel, M.F.: A demonstration of SHAHED: a MapReduce-based system for querying and visualizing satellite data. In: Proceedings of the IEEE International Conference on Data Engineering, ICDE 2015, Seoul, South Korea, April 2015

    Google Scholar 

  12. Guttman, A.: R-trees: a dynamic index structure for spatial searching. SIGMOD Rec. 14(2), 47–57 (1984)

    Article  Google Scholar 

  13. Heald, C.L., Collett Jr., J.L., Lee, T., Benedict, K.B., Schwandner, F.M., Li, Y., Clarisse, L., Hurtmans, D.R., Van Damme, M., Clerbaux, C., Coheur, P.-F., Philip, S., Martin, R.V., Pye, H.O.T.: Atmospheric ammonia and particulate inorganic nitrogen over the United States. Atmos. Chem. Phys. 12, 10295–10312 (2012)

    Article  Google Scholar 

  14. Nievergelt, J., Hinterberger, H., Sevcik, K.C.: The grid file: an adaptable, symmetric multikey file structure. ACM Trans. Database Syst. 9(1), 38–71 (1984)

    Article  Google Scholar 

  15. Li, L., Kumar, M., Zhu, C., Zhong, J., Francisco, J.S., Zeng, X.C.: Near-barrierless ammonium bisulfate formation via a loop- structure promoted proton-transfer mechanism on the surface of water. J. Am. Chem. Soc. 138, 1816–1819 (2016)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jui-Hung Chang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

About this paper

Cite this paper

Tseng, CY., Chang, JH. (2017). A Study of the Correlation Between Livestock Data Analysis and the Concentration of PM2.5 - Using the Cloud Computing Platform. In: Lee, JH., Pack, S. (eds) Quality, Reliability, Security and Robustness in Heterogeneous Networks. QShine 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 199. Springer, Cham. https://doi.org/10.1007/978-3-319-60717-7_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-60717-7_8

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60716-0

  • Online ISBN: 978-3-319-60717-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics