Skip to main content
Log in

Optimization of ambient air quality monitoring networks

(Part I)

  • Published:
Environmental Monitoring and Assessment Aims and scope Submit manuscript

Abstract

A method has been developed to obtain a joint solution to the problem of optimum number and configuration of ambient air quality monitors, on the principles of spatial correlation analysis and the minimum spanning tree. The interest in this case is to represent the patterns of regional air quality, at a minimum of an overlap of information. This methodology is extended to account for the uncertainties in air quality simulations and also to incorporate the probabilities of occurrence. As an illustration to these methodologies, an example of Taipei City, Taiwan has been considered.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Bach, W. D. and Vukovich, F. M.: 1981, ‘Optimum Meteorological and Air Pollution Sampling Network Selection in the Cities: Vol. III Objective Variational Analysis Model’, EPA-600/S4-81-012.

  • Buell, R. J.: 1975, ‘Objective Procedures for Optimum Allocation of Air Pollution Observation Stations’, Research Traingle Park, North Carolina, US EPA-650/4-75-005.

  • Chuang, C. Y.: 1977, ‘The characteristics of Air Pollution in Taiwan Area, Republic of China’, Proceedings of the Fourth International Clean Air Congress at Tokyo, IV-20, pp. 539–545.

  • Barby, W. P., Ossenbruggen, P. J., and Gregory, C. J.: 1974, ‘Optimization of Urban Air Monitoring Networks’, Journal of Environmental Engineering Division, A.S.C.E., 100, 577–591.

    Google Scholar 

  • David, F. N.: 1980, ‘Tables for the Ordinates and the Probability Integral of the Distribution of the Correlation Coefficient in Small Smaples’, The Biometrika Office, Cambridge University Press, Cambridge, England, Vol. 14, No. 6, pp. 681–693.

    Google Scholar 

  • Elsom, D. M.: 1977, ‘Spatial Correlation Analysis of Air Pollution Data in Urban Area’, Atmospheric Environment 12, 1103–1107.

    Google Scholar 

  • Godfrey, S. M., Novak, J. H., and Turner, D. B.: 1975, ‘A Modelling Study to Examine Detection of Violations of Air Quality Standards Using Various Sampling Station Networks in the Vicinity of a Single Plant’, Report 76-23.3, Pittusburgh; Air Pollution Control Association, U.S.A.

    Google Scholar 

  • Goldstein, I. F.: 1976, ‘Use of Aerometric Network Data to Monitor Accute Health Effects’, Presented at the 69th Annual Meeting of the Air Pollution Control Association, Portland, Oregon, U.S.A.

  • Handscombe, C. M. and Elsom, D. M.: 1982, ‘Rationalization of the National Survey of Air Pollution Monitoring Networks Using Spatial Correlation Analysis — A Case Study of the Greater London Area’, Atmospheric Environment 16, 1061–1070.

    Google Scholar 

  • Hendrick, R. L. and Comer, G. H.: 1970, ‘Space Variations of Precipitation and Implications for Raingauge Network Design’, Journal of Hydrology 10, 151–163.

    Google Scholar 

  • Hougland, A. and Stephens, R.: 1976, ‘Siting of Air Pollution Monitoring Stations by Analytical Techniques’ Journal of Air Pollution Control Association 26, 51–53.

    Google Scholar 

  • Huff, F. A. and Shipp, W. L.: 1969, ‘Spatial Correlations of Storm, Monthly and Seasonal Precipitation’, Journal of Applied Meteorology 8, 542–550.

    Google Scholar 

  • Keagy, M., Stalker, W. W., Zimmer, C. E., and Dickerson, R. C.: 1961, ‘Sampling Station and Time Requirements for Urban Air Pollution Surveys, Part I: Lead Peroxide Candles and Dust Fall Collectors’, Journal of Air Pollution Control Association 11, 270–280.

    Google Scholar 

  • Liu, M. K. and Arvin, J.: 1981, ‘Methodology for the Design of an Optimum Air Quality Monitoring Network’, Environmental Monitoring Systems Laboratory, Las Vegas, US EPA-600/54 81-002.

    Google Scholar 

  • Modak, P. M.: 1984, ‘Optimum Siting of Ambient Air Monitors’, A dissertation submitted as a partial fulfillment for a degree of Doctor of Engineering, Asian Institute of Technology, Bangkok, Thailand.

    Google Scholar 

  • Modak, P. M. and Lohani, B. N.: 1983, ‘Vector Mapping of Ambient Air Quality’, submitted to Journal of Air Pollution Control Association. U.S.A..

    Google Scholar 

  • Modak, P. M. and Lohani, B. N.: 1984c, ‘Optimization of Ambient Air Quality Monitoring Networks-Part II’, Environmental Monitoring and Assessment 5, 21–38.

    Google Scholar 

  • Modak, P. M. and Lohani, B. N.: 1984c, ‘Optimization of Ambient Air Quality Monitoring Networks-Part III’, Environmental Monitoring and Assessment 5, 39–53.

    Google Scholar 

  • Munn, R. E.: 1981, Design of Air Quality Monitoring Networks, Macmillan Press Ltd, Basingstoke, Hampshire, U.K.

    Google Scholar 

  • Nakamori, Y., Ikeda, S., and Sawaragi, Y.: 1979, ‘Design of Air Pollutant Monitoring System by Spatial Sample Stratification’, Atmospheric Environment 13, 97–103.

    Google Scholar 

  • Noll, K. E. and Miller, T. M.: 1977, Air Monitoring Network Design, Ann Arbour Science.

  • Perkins, N. M.: 1973, ‘Do Air Monitoring Station Data Represent the Surrounding Community Exposure?’ International Journal of Biometeorology 17, 23–28.

    Google Scholar 

  • Richit, P., Webb, V., Schonbrod, R., and Behar, J.: 1982, ‘Evaluation of a Multimedia Monitoring System, in Southeast Ohio’, Environmental Monitoring and Assessment 2, 171–196.

    Google Scholar 

  • Seinfeld, J. H.: 1972, ‘Optimum Location of Pollutant Monitoring Stations in an Airshed’, Atmospheric Environment 5, 847–858.

    Google Scholar 

  • Shannon, J. D., Wesley, M. L., and Brady, P. J.: 1978, ‘Objective Sensor Placement for Sampling Regional Turbidity’, Atmospheric Environment 12, 937–943.

    Google Scholar 

  • Silverman, F., Pengelly, L. D., Mintz, S., Kerigan, A. T., Hosein, H. R., Corey, P., and Goldsmith, C. H.: 1982, ‘Exposure Estimates in Assessing Health Effects of Air Pollution’, Environmental Monitoring and Assessment 2, 233–245.

    Google Scholar 

  • Steinitz, G., Huss, A., Manes, A., Sinai, R., and Alpherson, Z.: 1971, ‘Optimum Network Density in the Tropics’, Journal of Applied Meteorology 10, 364–369.

    Google Scholar 

  • US Environmental Protection Agency: 1971, ‘Guidelines: Air Quality Surveillence Networks’, AP-98.

  • Vukovich, F. M.: 1977, ‘Sampling Network Selection in Urban Areas’, in Strauss, W. (ed.), Air Pollution Control, Part III, John Wiley and Sons, New York.

    Google Scholar 

  • World Health Organization (WHO): 1977, ‘Air Monitoring Programme Design for Urban and Industrial Areas’, Global Environmental Monitoring System, WHO Offset Publication No. 38.

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Modak, P.M., Lohani, B.N. Optimization of ambient air quality monitoring networks. Environ Monit Assess 5, 1–19 (1985). https://doi.org/10.1007/BF00396391

Download citation

  • Received:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF00396391

Keywords

Navigation