目標：本研究探討嘉南地區大氣中細懸浮微粒(fine particulate matters, PM2.5)濃度與氣象因 子相關性分析。方法：研究蒐集並分析2006-2014年行政院環保署空氣品質監測站PM2.5與氣象 資料(溫度、相對濕度、降雨量及風速)。研究區域為嘉南地區共計四縣市，分別為嘉義縣市(共 3個測站：新港、朴子與嘉義)，台南縣市(共4個測站：新營、善化、安南與台南)。以四分位數 (25%、50%及75%)、平均值、最小值及最大值進行PM2.5及氣象資料描述性資料分析。進一步 以皮爾森積差相關(Pearson product correlation)，探討PM2.5濃度與氣象因子之相關性。結果：嘉南 地區PM2.5日平均38 μg/m3，溫度日平均24℃，相對濕度日平均75%，累積降雨量日平均12.1 mm， 風速日平均2.3 m/sec。嘉南地區PM2.5濃度與溫度(r = -0.446)、相對濕度(r = -0.327)、累積降雨 量(r = -0.279)與風速(r = -0.173)呈現統計上顯著負相關。此外，東北季風期間，風速與PM2.5濃 度之相關係數絕對值最大(r = -0.371)。非東北季風期間，溫度與PM2.5濃度之相關係數絕對值 最大(r = -0.525)。結論：嘉南地區PM2.5濃度與氣象因子之風速與溫度相關性較高。(台灣衛誌 2016；35(6)：575-586)

Objectives: This article explors corrections between the fine particulate matter (PM2.5) level and meteorological variables in the Chia-Nan area of Taiwan. Methods: Data regarding PM2.5 and meteorological variables (i.e., temperature, relative humidity, rainfall, and wind speed) between 2006 and 2014 were obtained from Environmental Protection Administration monitoring stations. The region studied is located in 4 southwestern districts (Chiayi City, Chiayi County, Tainan City, and Tainan County) and includes 3 ambient air quality-monitoring stations in Chiayi (Chiayi, Xingan, and Puzi stations) and 4 stations in Tainan (Xinying, Shanhua, Annan, and Tainan stations). Quartiles (25%, 50%, and 75%) and mean, minimum, and maximum levels were used to describe the characteristics of PM2.5 and meteorological variables, respectively. The relationship between PM2.5 and meteorological variables was estimated using the Pearson product correlation. Results: During the study period, the overall mean daily average level of PM2.5, temperature, relative humidity, cumulative level of rainfall, and wind speed were 38 μg/m3, 24°C, 75%, 12.1 mm, and 2.3 m/s, respectively. In the Chia-Nan area of Taiwan, PM2.5 was negatively correlated with temperature (r = –0.446), relative humidity (r = –0.327), cumulative rainfall (r = –0.279), and wind speed (r = –0.173). During the Northeast Monsoon period, the absolute value of the correlation between wind speed and PM2.5 level was the largest (r = –0.371). However, during the Non–Northeast Monsoon period, the absolute value of the correlation between temperature and PM2.5 concentrations was the largest (r = –0.525). Conclusions: Wind speed and temperature have higher correlations with PM2.5 levels than do relative humidity and cumulative rainfall in the Chia- Nan area of Taiwan. (Taiwan J Public Health. 2016;35(6):575-586)