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Journal ArticleDOI

Quantifying the influence of local meteorology on air quality using generalized additive models

TLDR
In this article, the authors present the estimated response of daily air pollutant concentrations in Melbourne, Australia to local-scale meteorology using generalized additive models (GAMs) and find that the aggregate impact of meteorological variables in the models explained 26.3% of the variance in O3, 21.1% in PM10, and 26.7% in NO2.
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This article is published in Atmospheric Environment.The article was published on 2011-02-01. It has received 234 citations till now. The article focuses on the topics: Air quality index & Air pollutant concentrations.

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Citations
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Journal ArticleDOI

Influence of meteorological conditions on PM2.5 concentrations across China: A review of methodology and mechanism.

TL;DR: Suggestions on future research and major meteorological approaches for mitigating PM2.5 pollution are made and causality analysis methods are found more suitable for extracting the influence of individual meteorological factors whilst statistical models are good at quantifying the overall effect of multiple meteorological Factors on PM 2.5.
Journal ArticleDOI

Environmental effects of ozone depletion and its interactions with climate change: progress report, 2011

TL;DR: The parties to the Montreal Protocol are informed by three panels of experts, one of which is the Environmental Effects Assessment Panel (EEAP), which deals with two focal issues, the effects of increased UV radiation on human health, animals, plants, biogeochemistry, air quality, and materials and interactions between UV radiation and global climate change.
Journal ArticleDOI

Health impacts and economic losses assessment of the 2013 severe haze event in Beijing area

TL;DR: Results of the economic losses assessments suggest that the haze in January 2013 might lead to 253.8 million US$ losses, accounting for 0.08% (95% CI: (0.05%, 0.1%) of the total 2013 annual gross domestic product (GDP) of Beijing.
Journal ArticleDOI

Spatial and temporal analysis of Air Pollution Index and its timescale-dependent relationship with meteorological factors in Guangzhou, China, 2001-2011.

TL;DR: The spatial and temporal variation of Air Pollution Index (API) and the associations between API and meteorological factors during 2001-2011 in Guangzhou, China are presented and found to be highly correlated among five monitoring stations.
Journal ArticleDOI

Air pollution and urban structure linkages: Evidence from European cities

TL;DR: In this paper, the authors investigated the relationship between local air pollution and urban structure with an emphasis on urban fragmentation using a unique dataset of 249 large urban zones (LUZ) across Europe, a Bayesian Model Averaging model selection method was employed to identify the determinants of within-LUZ concentration of three air pollutants: NO2, PM10 and SO2.
References
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Journal ArticleDOI

Generalized Additive Models.

Book

Generalized Additive Models: An Introduction with R, Second Edition

Simon N Wood
TL;DR: In this article, a simple linear model is proposed to describe the geometry of linear models, and a general linear model specification in R is presented. But the theory of linear model theory is not discussed.
BookDOI

Regression modeling strategies : with applications to linear models, logistic regression, and survival analysis

TL;DR: In this article, the authors present a case study in least squares fitting and interpretation of a linear model, where they use nonparametric transformations of X and Y to fit a linear regression model.
OtherDOI

Generalized Additive Models

TL;DR: The generalized additive model (GA) as discussed by the authors is a generalization of the generalized linear model, which replaces the linear model with a sum of smooth functions in an iterative procedure called local scoring algorithm.
Journal ArticleDOI

Regression Modeling Strategies: With Applications to Linear Models, Logistic Regression, and Survival Analysis

TL;DR: The basic Bayesian framework must be constrained, use of the step function in computing the probability that a team would rank best or worst in a league, and implementation of a Dirichlet process prior are presented.
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How can Convergent Cross Mapping be used to detect causality and quantify the influence between ozone and meteorological parameters?

The paper does not mention the use of Convergent Cross Mapping to detect causality and quantify the influence between ozone and meteorological parameters.