Examining the joint effect of air pollution and green spaces on stress levels in South Korea: using machine learning techniques DOI Creative Commons
Khadija Ashraf, Yoo Min Park, Matthew H.E.M. Browning

и другие.

International Journal of Digital Earth, Год журнала: 2024, Номер 17(1)

Опубликована: Июль 4, 2024

This study investigates the joint effect of air pollution and different types green spaces (e.g. mixed forests) on stress levels in South Korea. Two periods were examined: before COVID-19 pandemic (2017–2019) during (2020–2022). We used 16 total parameters for our Random Forest model. Stress was dependent variable, 15 other variables independent parameters. Our focused PM10 (forest types). findings show that forests reduce stress, particularly when are low. In addition, is associated with increased levels, this relationship became stronger COVID-19. These indicate protecting improving quality may improve people's mental health. provides insights into how cities can be made healthier happier places to live, challenging such as a pandemic.

Язык: Английский

Green space coverage versus air pollution: a cloud-based remote sensing data analysis in Sichuan, Western China DOI Creative Commons
Amin Naboureh, Ainong Li, Jinhu Bian

и другие.

International Journal of Digital Earth, Год журнала: 2024, Номер 17(1)

Опубликована: Авг. 4, 2024

Air pollution is the greatest health risk to human health, as acknowledged in several Sustainable Development Goals (SDG), such SDG-1, SDG-3, SDG-7, and SDG-11. Despite global comprehension of positive effect Green Space Coverage (GSC) on mitigating air pollution, investigating impact different GSC types has received little attention. Here, we utilized multiple data a cloud-computing platform examine role NO2 PM2.5 pollutants across 2019 2022 Sichuan Province, China. We classified areas into tall short classes, taking account recognized importance vegetation height prior studies. Our analysis revealed that GSCs exhibit lower pollutant levels all studied, indicating potential correlation between mitigation efficacy. Furthermore, high activity areas, while emerged effective sinks for PM 2.5 compared (25% 20% average annual 2022, respectively), their performance reducing was relatively limited (9% 4% respectively). These findings can contribute urban planning environmental management.

Язык: Английский

Процитировано

4
Examining the joint effect of air pollution and green spaces on stress levels in South Korea: using machine learning techniques DOI Creative Commons
Khadija Ashraf, Yoo Min Park, Matthew H.E.M. Browning

и другие.

International Journal of Digital Earth, Год журнала: 2024, Номер 17(1)

Опубликована: Июль 4, 2024

This study investigates the joint effect of air pollution and different types green spaces (e.g. mixed forests) on stress levels in South Korea. Two periods were examined: before COVID-19 pandemic (2017–2019) during (2020–2022). We used 16 total parameters for our Random Forest model. Stress was dependent variable, 15 other variables independent parameters. Our focused PM10 (forest types). findings show that forests reduce stress, particularly when are low. In addition, is associated with increased levels, this relationship became stronger COVID-19. These indicate protecting improving quality may improve people's mental health. provides insights into how cities can be made healthier happier places to live, challenging such as a pandemic.

Язык: Английский

Процитировано

1