Rights accessRestricted access - publisher's policy
Air pollution caused by small particles is a major public health problem in many cities of the world. One of the most contaminated cities is Mexico City. The fact that it is located in a volcanic crater surrounded by mountains helps thermal inversion and imply a huge pollution problem by trapping a thick
layer of smog that float over the city. Modeling air pollution is a political and
administrative important issue due to the fact that the prediction of critical events should guide decision making. The need for countermeasures against such episodes requires predicting with accuracy and in advance relevant indicators of air pollution, such are particles smaller than 2.5 microns (PM 2.5). In this work two different fuzzy approaches for modeling PM
2.5 concentrations in Mexico City metropolitan area are compared with respect the simple persistence method.
CitationNebot, M.; Múgica, F. Small-particle pollution modeling using fuzzy approaches. A: "Simulation and modeling methodologies, technologies and applications: international conference, SIMULTECH 2012: Rome, Italy, July 28-31, 2012: revised selected papers". 2014, p. 239-252.
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder. If you wish to make any use of the work not provided for in the law, please contact: email@example.com