台州市城市绿地PM2.5差异及影响因素分析  

Study on Difference Comparison and Influencing Factors of Urban Green Space PM 2.5 in Taizhou,China

作　　者：解韩玮 张琴[1] 王江[2] 陈旭[1] 

机构地区：[1]西南林业大学计算机与信息学院,云南昆明650224 [2]台州学院生命科学学院,浙江台州318000

出　　处：《福建林业科技》2016年第2期141-146,165,共7页Journal of Fujian Forestry Science and Technology

基　　金：浙江省自然科学基金项目(LY13C030003);云南省应用基础研究面上基金资助项目(NO.2011FZ140);云南省教育厅科学研究基金研究生项目(2014J098)

摘　　要：以台州市为研究对象,通过对城区内天气等因素与不同绿地类型区域内PM 2.5浓度进行单因素方差、双变量相关及冗余等分析,研究主要绿地类型(草地、树林、混合绿地和裸地)的PM 2.5浓度特征。结果显示,树林和混合绿地的PM 2.5浓度显著低于草地和裸地;天气和功能区对PM 2.5浓度存在显著影响,且与绿地类型间存在显著的交互作用;各观测点PM 2.5浓度与绿地类型内部空气湿度、地面湿度、归一化植被指数(NDVI)、归一化水体指数(NDWI)和归一化建筑指数(NDBI)都有一定相关性。该研究对综合因素影响条件下,准确分析绿地类型对PM 2.5浓度的影响具有一定的指导作用。Taizhou city was selected as the studied area. ANOVA, Bivariate correlation and Redundancy analysis was selected as research methods. The PM 2. 5 concentrations of different green space types （ lawn, wood, mixed green space and bare land） and the covariate effects of weather, characteristics of land use, microclimate and different functional areas of city on the PM 2. 5 concentrations of different green space types were studied. The results showed that different types of green space, different concentrations of PM 2. 5 and PM 2. 5 concentrations of wood and mixed green space were significantly lower than that of lawn and bare land ; the weather and function area had significant effects on the concentration of PM 2. 5. Moreover, they had significant interaction with green space types;PM 2. 5 concentrations of all observation points were correlated with air humidity, ground humidity,NDVl（ Normalized Difference Vegetation Index）,NDWI（ Normalized Difference Water Index）and NDBI（ Normalized Difference Build-up Index）. The study should have important theoretical guiding significance for accurate analyzing the effects of green space types on PM 2. 5 concentrations under the influence of comprehensive covariate factors.

关 键 词：PM 2.5 城市绿地 天气 土地利用 

分 类 号：S731.2[农业科学—林学]