Prediction of PM2.5 in an Urban Area of Northern Thailand Using Multivariate Linear Regression Model
As a result of considerable changes in rural areas in Northern Thailand, the frequency and intensity of haze outbreaks from particulate pollution, particularly fine particulate matter (PM2.5), has increased in this region. To supplement ground-based monitoring where PM2.5 observation is limited, thi...
Saved in:
| Main Author: | Teerachai Amnuaylojaroen |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
|
| Series: | Advances in Meteorology |
| Online Access: | http://dx.doi.org/10.1155/2022/3190484 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Strategy Design of PM2.5 Controlling for Northern Thailand
by: Karuna Jainontee, et al.
Published: (2023-03-01) -
The Future Extreme Temperature under RCP8.5 Reduces the Yields of Major Crops in Northern Peninsular of Southeast Asia
by: Teerachai Amnuaylojaroen, et al.
Published: (2022-01-01) -
Advancements and challenges of artificial intelligence in climate modeling for sustainable urban planning
by: Teerachai Amnuaylojaroen
Published: (2025-05-01) -
Correlational Associations Between Ambient and Household Particulate Matter Exposure and Body Mass Index Across Childhood and Adolescence in Thailand
by: Nichapa Parasin, et al.
Published: (2025-02-01) -
Investigating factors influencing PM2.5 threshold exceedance in Nigeria using multivariate logistic regression analysis
by: Tertsea Igbawua, et al.
Published: (2024-09-01)