Related Experiment Video
Updated: Jul 15, 2026

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
Published on: December 9, 2012
Multi-objective optimization of air quality monitoring
Dimosthenis A Sarigiannis1, Michaela Saisana
1Joint Research Centre, European Commission, via Enrico Fermi 1, 21020 Ispra, VA, Italy. Dimosthenis.Sarigiannis@ec.europa.eu
Abstract:
A new method for multi-objective optimization of air quality monitoring systems based on satellite remote sensing of the troposphere is described in this work. The technique uses atmospheric turbidity as surrogate for air pollution loading. Through inverse chemical modeling and ancillary information the respective patterns of primary gaseous and particle pollutants are inferred. The optimization algorithm uses the resulting maps of ambient air pollution as input. It focuses on the gain of information with regard to human exposure to high pollution, potential impact on cultural heritage, compliance to ambient air quality standards, monitoring key point and area source emissions, as well as on the associated cost. Application of the method in Brescia, Italy showed its significant potential for improving the cost-effectiveness of air quality monitoring networks at the urban and regional scales.
Related Concept Videos
Methods of Medium Optimization
Lagrange Multipliers: Two Constraints
Determination of Multiple Dosing Parameters: Steady-State, Minimum and Maximum Concentrations
Optimization Problems
Measurement of Air Content in Concrete
The pressure method,...
Linear Approximations
