Skip to main content

Collection and Processing of Data to Optimize the Monitoring of Atmospheric Air Pollution

  • Conference paper
  • First Online:

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 998))

Abstract

The system of environmental monitoring in Almaty is a collection of data without analysis and processing, without identifying sources of pollution. An urgent solution to this problem is to expand the system of environmental monitoring of the city, since the foothill zone of Almaty is characterized by extremely weak resources for self-cleaning the atmosphere. When developing an information system to optimize the monitoring of atmospheric air pollution by heavy metals, the key stage is the collection, processing and structuring of data [1, 2]. The object of research is the air of the surface layer of Almaty, selected at the monitoring posts for the pollution of the air monitoring network. In the course of the research, a selection of sites for air sampling and determination of heavy metals in the samples was carried out. The received data were structured and prepared for inclusion in the created database and further complex mathematical calculations. Technical requirements and limitations to the information system are given.

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

Buying options

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

Learn about institutional subscriptions

References

  1. Zhumagulov, B.T., Temirbekov, N.M., Turganbaev, E.M., Denisova, N.F., Bitimbayev, I.T.: MInformation system of ecological monitoring and application of variational algorithms. Bull. Nat. Eng. Acad. Repub. Kaz. 1, 10–18 (2013)

    Google Scholar 

  2. Rakhmutellina, S.Zh.: The forecasting subsystem of the air pollution monitoring information system. Search 2, 243–250 (2010)

    Google Scholar 

  3. Wang, Y.: Using propensity score to adjust for unmeasured confounders in small area studies of environmental exposures and health. Imperial College. London Department of Epidemiology and Biostatistics (2017)

    Google Scholar 

  4. Quality of living city ranking [Electronic resource]. https://mobilityexchange.mercer.com/Insights/quality-of-living-rankings. Accessed 10 Apr 2018

  5. Ainsworth, D., Butcher, S., Sternberg, M., Knottenbelt, W.: Computational approaches for metagenomic analysis of high-throughput sequencing data. Ph.D. Degree of Imperial College London and the Diploma of Imperial College Imperial College London, Department of Life Sciences (2014)

    Google Scholar 

  6. Plusquina, M., Guid, F., Polidorod, S., Vermeulen, R., Raaschou-Nielsenf, O., Campanella, G.: DNA methylation and exposure to ambient air pollution in two prospective cohorts. Environ. Int. 108, 127–136 (2017)

    Article  Google Scholar 

  7. Bind, M.A., et al.: Beyond the mean: quantile regression to explore the association of air pollution with gene-specific methylation in the normative aging study. Environ. Health Perspect. 123(8), 759–765 (2015)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Z. T. Khassenova .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Oralbekova, Z.O., Khassenova, Z.T., Zhartybayeva, M.G. (2019). Collection and Processing of Data to Optimize the Monitoring of Atmospheric Air Pollution. In: Shokin, Y., Shaimardanov, Z. (eds) Computational and Information Technologies in Science, Engineering and Education. CITech 2018. Communications in Computer and Information Science, vol 998. Springer, Cham. https://doi.org/10.1007/978-3-030-12203-4_16

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-12203-4_16

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-12202-7

  • Online ISBN: 978-3-030-12203-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics