An exploration of meteorological effects on PM 2.5 air quality in several provinces and cities in Vietnam

• Published in: Journal of environmental sciences (China) Vol. 145; p. 139
• Main Authors: Nguyen, Giang Tran Huong, La, Luan Thien, Hoang-Cong, Huy, Le, Anh Hoang
• Format: Journal Article
• Language: English
• Published: Netherlands 01.11.2024
• Subjects: Air Pollutants - analysis; Air Pollution - statistics & numerical data; Cities; Environmental Monitoring; Meteorological Concepts; Particulate Matter - analysis; Seasons; Vietnam; Wind; Vietnam; Convergent cross mapping; Vietnam; Fine particulate matter; Air pollution; Causality analysis; Meteorological effect
• ISSN: 1001-0742

Linking meteorology and air pollutants is a key challenge. The study investigated meteorological effects on PM concentration using the advanced convergent cross mapping method, utilizing hourly PM concentration and six meteorological factors across eight provinces and cities in Vietnam. Results demonstrated that temperature (ρ = 0.30) and radiation (ρ = 0.30) produced the highest effects, followed by humidity (ρ = 0.28) and wind speed (ρ = 0.24), while pressure (ρ = 0.22) and wind direction (ρ = 0.17) produced the weakest effects on PM concentration. Comparing the ρ values showed that temperature, wind speed, and wind direction had greater impacts on PM concentration during the dry season whereas radiation had a more influence during the wet season; Southern stations experienced larger meteorological effects. Temperature, humidity, pressure, and wind direction had both positive and negative influences on PM concentration, while radiation and wind speed mostly had negative influences. During PM pollution episodes, there was more contribution of meteorological effects on PM concentration indicated by ρ values. At contaminated levels, humidity (ρ = 0.45) was the most dominant factor affecting PM concentration, followed by temperature (ρ = 0.41) and radiation (ρ = 0.40). Pollution episodes were pointed out to be more prevalent under higher humidity, higher pressure, lower temperature, lower radiation, and lower wind speed. The ρ calculation also revealed that lower temperature, lower radiation, and higher humidity greatly accelerated each other under pollution episodes, further enhancing PM concentration. The findings contributed to the literature on meteorology and air pollution interaction.