摘要
PM2.5导致的大气污染已经成为中国经济快速发展地区共同面临的问题。城市绿地对削减大气PM2.5具有一定的作用。本研究基于NDVI数据模拟北京城市绿地叶面积指数,再利用干沉降模型模拟区域绿地PM2.5削减量,最后根据大气PM2.5存量计算了绿地对大气PM2.5的去除效果。研究结果显示,2000年、2005年和2010年北京城市绿地PM2.5削减总量分别为1 861t、2 987t和3 852t,单位面积削减量分别为22.71kg/hm2、24.64kg/hm2和33.36kg/hm2,可分别将研究区内PM2.5削减0.07%、0.12%和0.19%。苗圃与果园、社区林和路旁林的PM2.5削减总量较高,而针阔混交林、灌木林和针叶林的单位面积削减量较高。五环以外绿地的PM2.5削减总量、单位面积削减量和大气PM2.5去除率都高于五环以内绿地。本研究可以为北京城市规划中更好发挥绿地缓解大气PM2.5作用提供决策依据。
PM2.5air pollution has become an environmental problem in rapidly developing regions of China. City green spaces can reduce PM2.5air pollution. In this study,we simulated the Leaf Area Index(LAI)of green spaces in Beijing based on NDVI data,modeled the PM2.5removal by green spaces using a dry deposition model,and calculated the ratio of the PM2.5removal to atmospheric PM2.5load. The results indicated that PM2.5removal by green spaces in Beijing in2000,2005 and 2010 was 1861 t,2 987 t and 3 852 t,respectively. PM2.5removal per hectare of green space was 22.71 kg,24.64 kg and 33.36 kg,respectively. The ratio of PM2.5removal to atmospheric PM2.5load was 0.07%,0.12% and 0.19%,respectively. PM2.5removals by nurseries and orchard forests,community forest and the roadside forest were much higher than for other green areas. PM2.5removal per hectare of coniferous and broad-leaf mixed forest,shrubs and coniferous forest were much higher than for other green areas. Total PM2.5removal,the PM2.5removal per hectare and the ratios of the PM2.5removal to the atmospheric PM2.5load by green spaces located outside the Fifth Ring Road were much higher than for green spaces within the Fifth Ring Road. This study will help decision making and green planning to improve PM2.5mitigation by green spaces.
出处
《资源科学》
CSSCI
CSCD
北大核心
2015年第6期1149-1155,共7页
Resources Science
基金
国家科技支撑计划课题(2013BAC03B05)
国家自然科学基金项目(31400411)
北京市环境保护监测中心北京市生态环境变化以及对大气、水环境影响的调查与评估项目(OTTC-G12022328)
