Impacts of subway development on air pollution and vegetation in Tabriz and Shiraz, Iran

Rad, Abdullah Kaviani; Naghipour, Armin

doi:10.18502/japh.v7i2.9596

Cited by 2 publications

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“…Iran is increasingly facing numerous environmental challenges 26 including severe air pollution 27 . In Iran, there was a positive correlation between the amount of PM and the number of people diagnosed with COVID-19 28 .…”

Section: Introductionmentioning

confidence: 99%

The Relationships between Air Pollution, Warming, and Health in Tehran Metropolis, Iran, during 2015–2019

Daneshipour,

Naghipour,

Rad

2023

JEHSD

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Introduction: Since global warming and air pollution was caused by human activities have increased dramatically in recent decades, studies have been conducted to determine how environmental parameters and air pollutants interact and, subsequently, how these pollutants affect ecosystems and human health. Accordingly, this study aimed to investigate the relationship between temperature and air pollutants in Tehran, Iran, in order to determine whether warming is associated with an increase in air pollutants. Materials and Methods: During 2015-2019, Iran Air Quality Monitoring Station (AQMS) and the Landsat 8 satellite were employed to retrieve data on pollutants such as PM, CO, O3, NO2, SO2, and air quality index (AQI), as well as climate-related metrics including ambient temperature and land surface temperature (LST). Pearson correlation coefficient and linear regression model were used to analyze the data. Results: A positive correlation was found between temperature variables and PM10 (ρ = 0.29, p = 0.001) and O3 (ρ= 0.55, p = 0.001) pollutants. PM10 and O3 levels were evaluated by 0.46 (95% Confidence Interval (CI) = (0.25, 0.67), p = 0.001) and 1.13 (95% CI = 0.89, 1.37), p = 0.001) units for each one-unit rise in temperature. Conclusion: Given the fact that temperature predominantly evidenced a significant synergistic association with PM10 and O3, it was determined that there was no substantial positive association between all pollutants and warming.

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Section: Introductionmentioning

confidence: 99%

The Relationships between Air Pollution, Warming, and Health in Tehran Metropolis, Iran, during 2015–2019

Daneshipour,

Naghipour,

Rad

2023

JEHSD

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Machine Learning for Determining Interactions between Air Pollutants and Environmental Parameters in Three Cities of Iran

et al. 2022

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Air pollution, as one of the most significant environmental challenges, has adversely affected the global economy, human health, and ecosystems. Consequently, comprehensive research is being conducted to provide solutions to air quality management. Recently, it has been demonstrated that environmental parameters, including temperature, relative humidity, wind speed, air pressure, and vegetation, interact with air pollutants, such as particulate matter (PM), NO2, SO2, O3, and CO, contributing to frameworks for forecasting air quality. The objective of the present study is to explore these interactions in three Iranian metropolises of Tehran, Tabriz, and Shiraz from 2015 to 2019 and develop a machine learning-based model to predict daily air pollution. Three distinct assessment criteria were used to assess the proposed XGBoost model, including R squared (R2), Root Mean Squared Error (RMSE), and Mean Absolute Error (MAE). Preliminary results showed that although air pollutants were significantly associated with meteorological factors and vegetation, the formulated model had low accuracy in predicting (R2PM2.5 = 0.36, R2PM10 = 0.27, R2NO2 = 0.46, R2SO2 = 0.41, R2O3 = 0.52, and R2CO = 0.38). Accordingly, future studies should consider more variables, including emission data from manufactories and traffic, as well as sunlight and wind direction. It is also suggested that strategies be applied to minimize the lack of observational data by considering second-and third-order interactions between parameters, increasing the number of simultaneous air pollution and meteorological monitoring stations, as well as hybrid machine learning models based on proximal and satellite data.

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Impacts of subway development on air pollution and vegetation in Tabriz and Shiraz, Iran

Cited by 2 publications

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The Relationships between Air Pollution, Warming, and Health in Tehran Metropolis, Iran, during 2015–2019

The Relationships between Air Pollution, Warming, and Health in Tehran Metropolis, Iran, during 2015–2019

Machine Learning for Determining Interactions between Air Pollutants and Environmental Parameters in Three Cities of Iran

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