Faculty of Chemistry and Environment, Dalat University, Lam Dong Province, Vietnam.
Environmental Protection Agency, Lam Dong Province Department of Natural Resources and Environment, Lam Dong Province, Vietnam.
J Environ Sci (China). 2024 Nov;145:139-151. doi: 10.1016/j.jes.2023.07.020. Epub 2023 Jul 21.
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.
将气象学与空气污染物联系起来是一个关键挑战。本研究使用先进的会聚交叉映射方法,利用越南 8 个省市每小时的 PM 浓度和 6 个气象因素,调查了气象因素对 PM 浓度的影响。结果表明,温度(ρ=0.30)和辐射(ρ=0.30)的影响最大,其次是湿度(ρ=0.28)和风速(ρ=0.24),而气压(ρ=0.22)和风向(ρ=0.17)对 PM 浓度的影响最小。比较 ρ 值表明,在旱季,温度、风速和风向对 PM 浓度的影响较大,而在雨季,辐射的影响较大;南部站点的气象影响较大。温度、湿度、气压和风向对 PM 浓度既有正影响也有负影响,而辐射和风速主要有负影响。在 PM 污染事件期间,ρ 值表明气象因素对 PM 浓度的影响更大。在污染水平下,湿度(ρ=0.45)是影响 PM 浓度的最主要因素,其次是温度(ρ=0.41)和辐射(ρ=0.40)。指出在较高湿度、较高气压、较低温度、较低辐射和较低风速下,污染事件更为普遍。ρ 值的计算还表明,在污染事件下,较低的温度、较低的辐射和较高的湿度会相互促进,进一步加剧 PM 浓度的增加。这些发现为气象与空气污染相互作用的文献做出了贡献。