Developing a Hierarchical Model for the Spatial Analysis of PM10 Pollution Extremes in the Mexico City Metropolitan Area

Developing a Hierarchical Model for the Spatial Analysis of PM10 Pollution Extremes in the Mexico City Metropolitan Area

We implemented a spatial model for analysing PM 10 maxima across the Mexico City metropolitan area during the period 1995–2016. We assumed that these maxima follow a non-identical generalized extreme value (GEV) distribution and modeled the trend by introducing multivariate smoothing spline...

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Bibliographic Details
Main Authors: Alejandro Ivan Aguirre-Salado, Humberto Vaquera-Huerta, Carlos Arturo Aguirre-Salado, Silvia Reyes-Mora, Ana Delia Olvera-Cervantes, Guillermo Arturo Lancho-Romero, Carlos Soubervielle-Montalvo
Format: Article
Language:English
Published: MDPI AG 2017-07-01
Series:International Journal of Environmental Research and Public Health
Subjects:
air pollution
particulate matter
extreme value theory
Markov Chain Monte Carlo (MCMC)
nonstationary
Online Access:https://www.mdpi.com/1660-4601/14/7/734

Internet

https://www.mdpi.com/1660-4601/14/7/734

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