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A decision support system for air quality network design

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Abstract

In the last few years, due to the implementation of European and Italian laws, public agencies are in urgent need of objective criteria and methodologies for the correct location of air quality monitoring networks. This paper describes MoNet, a decision support system oriented to network designers, to help them in the choice of the number and the location of instruments in an assigned area. The package includes a model base consisting of a set of pollution diffusion simulation models and two optimization algorithms for network location and allows the user to integrate his or her own subjective knowledge of the problem with the results of the simulations performed by means of objective techniques. The package has been applied to revise the air quality network located in an industrial and urban area of Northern Italy. The results of the simulations performed by using different diffusion models, location algorithms and problem constraints are shown and discussed in the concluding section.

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References

  • Calori G., Colombo F., and Finzi G.: 1993, ‘FRAME: A Knowledge-Based Tool to Support the Choice of the Right Air Pollution Model’, Working Conference on Computer Support for Environmental Impact Assessment, Como, Italy.

  • Cirillo, M.C. and Cagnetti, P.: 1982, DIMULA (Modello di DIffusione MULtisorgente Atmosferica): un codice multisorgente per il calcolo della concentrazione in aria, a livello del suolo, degli inquinanti atmosferici, ENEA/RTI/STUDI-VALSAMB(82)8.

  • Cirillo, M.C., Clerici, G. and Manzi, D.: 1988, ‘Atmospheric Transport of Sulphur Dioxide on a Local Scale: A Case Study’, in: S.E. Jorgensen (ed.), Modelling in Ecotoxicology, Elsevier, Amsterdam.

    Google Scholar 

  • EPA: 1986, Industrial Source Complex (ISC) Dispersion Model User's Guide 1 and 2, U.S. Environmental Protection Agency, EPA-450/4-86-005a and 005b.

  • Guariso, G. and Werthner, H.: 1989, Environmental Decision Support Systems, Ellis-Horwood, Chichester, U.K.

    Google Scholar 

  • Langstaff, J., Seigneur, C., Liu, M.K., Behar, J. and McElroy, J.L.: 1987: ‘Design of an Optimum Air Monitoring Network for Exposure Assessment’, Atmospheric Environment 21, 1393–1410.

    Google Scholar 

  • Munn, R.E.: 1981, The Design of Air Quality Monitoring Networks, Macmillan, London.

    Google Scholar 

  • Nakamori, Y. and Sawaragi, Y.: 1984, ‘Interactive Design of Urban Level Air Quality Monitoring Network’, Atmospheric Environment 18, 793–799.

    Google Scholar 

  • Noll, K.E. and Mitsutomi, S.: 1983, ‘Design Methodology for Optimum Dosage Air Monitoring Site Selection’, Atmospheric Environment 17, 2583–2590.

    Google Scholar 

  • Tirabassi, T., Tagliazucca, M. and Zannetti, P.: 1986, ‘KAPPA-G, a Non Gaussian Plume Dispersion Model: Description and Evaluation against Tracer Measurements’, JAPCA, 36, 592–596.

    Google Scholar 

  • Trinity Consultants Inc.: 1990, Complex-I User's Manual.

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Calori, G., Finzi, G. & Tonezzer, C. A decision support system for air quality network design. Environ Monit Assess 33, 101–114 (1994). https://doi.org/10.1007/BF00548592

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  • DOI: https://doi.org/10.1007/BF00548592

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