Modeling tropospheric ozone and particulate matter in Tunis, Tunisia using generalized additive model

Modeling tropospheric ozone and particulate matter in Tunis, Tunisia using generalized additive model

The main purpose of this paper is to analyze the sensitivity of tropospheric ozone and particulate matter concentrations to changes in local scale meteorology with the aid of meteorological variables (wind speed, wind direction, relative humidity, solar radiation and temperature) and intensity of tr...

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Bibliographic Details
Published in:Clean air journal Vol. 31; no. 2; pp. 1 - 16
Main Authors: Hammouda, Zouhour, Hedhili Zaier, Leila, Blond, Nadege
Format: Journal Article
Language:English
Published: National Association for Clean Air 13-10-2021
Subjects:
Air pollution, Particulate Matter, Tropospheric Ozone, GAM, meteorology, traffic
Environmental Sciences
Tropospheric Ozone
Air pollution
Particulate Matter
GAM
meteorology
traffic
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Summary:The main purpose of this paper is to analyze the sensitivity of tropospheric ozone and particulate matter concentrations to changes in local scale meteorology with the aid of meteorological variables (wind speed, wind direction, relative humidity, solar radiation and temperature) and intensity of traffic using hourly concentration of NOX, which are measured in three different locations in Tunis, (i.e. Gazela, Mannouba and Bab Aliwa). In order to quantify the impact of meteorological conditions and precursor concentrations on air pollution, a general model was developed where the logarithm of the hourly concentrations of O3 and PM10 were modeled as a sum of non-linear functions using the framework of Generalized Additive Models (GAMs). Partial effects of each predictor are presented. We obtain a good fit with R² = 85% for the response variable O3 at Bab Aliwa station. Results show the aggregate impact of meteorological variables in the models explained 29% of the variance in PM10 and 41% in O3. This indicates that local meteorological condition is an active driver of air quality in Tunis. The time variables (hour of the day, day of the week and month) also have an effect. This is especially true for the time variable “month” that contributes significantly to the description of the study area.
ISSN:2410-972X
2410-972X
DOI:10.17159/caj/2021/31/2.8880