摘要
文章利用大数据分析方法,对城市绿化和空气质量之间的关系展开分析。研究收集城市内不同绿化区域的绿地覆盖率,同时测定了空气负离子浓度和空气清洁度指数。统计不同绿化区域内这些指标的变化。结合其他绿化指标,利用大数据分析方法,分析了城市绿化对空气质量之间的相关性,研究城市绿化对空气质量的影响,发现:城市绿化对空气质量具有显著的积极影响,绿化面积与空气质量正相关;不同植物种类改善空气质量的效果各异。通过优化城市绿化和植物选择可以有效改善空气质量。
This article uses big data analysis methods to analyze the relationship between urban greening and air quality.The green coverage rate of different green areas in the city was studied and collected,and the concentration of air negative ions and air cleanliness index were measured to calculate the changes in these indicators within different green areas.By combining other greening indicators and using big data analysis methods,the correlation between urban greening and air quality was analyzed.The impact of urban greening on air quality was studied.It was found that urban greening has a significant positive impact on air quality,and the green area is positively correlated with air quality.The effectiveness of different plant species in improving air quality varies.Optimizing urban greening and plant selection can effectively improve air quality.
作者
刘增彩
Liu Zengcai(Guizhou Ecological Environment Monitoring Center,Xingyi 562400,China)
出处
《环境科学与管理》
2025年第8期162-166,共5页
Environmental Science and Management
关键词
大数据分析
城市绿化
空气质量
影响因子
环境治理
big data analysis
urban greening
air quality
influence factor
environmental governance
