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Real-time Breath Analysis by Using Secondary Nanoelectrospray Ionization Coupled to High Resolution Mass Spectrometry

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A decision support system for air quality network design.

G Calori¹, G Finzi, C Tonezzer

¹Dipartimento di Elettronica e Informazione, Politecnico di Milano, Italy.

Environmental Monitoring and Assessment

|November 9, 2013

Summary

This summary is machine-generated.

Public agencies need objective methods to locate air quality monitoring networks. MoNet, a decision support system, aids designers in optimizing instrument placement using simulation models and optimization algorithms.

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Area of Science:

Environmental Science
Environmental Engineering
Computational Science

Background:

European and Italian laws necessitate objective criteria for air quality monitoring network placement.
Public agencies face challenges in determining optimal locations and numbers of monitoring instruments.

Purpose of the Study:

To introduce MoNet, a decision support system for designing air quality monitoring networks.
To assist network designers in selecting the optimal number and location of monitoring instruments.

Main Methods:

MoNet integrates a model base with pollution diffusion simulation models.
It employs two optimization algorithms for network location.
The system allows user integration of subjective knowledge with objective simulation results.

Main Results:

The MoNet system was applied to revise an existing air quality network in an industrial and urban area of Northern Italy.
Simulations explored various diffusion models, location algorithms, and problem constraints.

Conclusions:

The study demonstrates the utility of MoNet in optimizing air quality monitoring network design.
The findings provide insights into effective strategies for network revision based on simulation and optimization.