冬季居住区不同功能绿地PM_(2.5)浓度变化及其与气象因子的关系
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  • 英文篇名:Winter PM_(2.5) Concentration Changes of Different Functional Green Spaces in the Residential Area and Their Correlations with Meteorological Factors
  • 作者:王誉洁 ; 黄天丽 ; 孙丰宾 ; 何欢 ; 齐锋 ; 晏海 ; 邵锋
  • 英文作者:WANG Yu-jie;HUANG Tian-li;SUN Feng-bin;HE Huan;QI Feng;YAN Hai;SHAO Feng;School of Landscape Architecture,Zhejiang Agriculture and Forestry University;School of Agriculture,Heilongjiang Bayi Agricultural University;Hangzhou Lin'an District Environmental Monitoring Station;School of Landscape Architecture,Beijing Forestry University;
  • 关键词:居住区绿地 ; PM_(2.5) ; 植物群落 ; 气象因子 ; 相关性分析 ; Boltzmann曲线模型
  • 英文关键词:residential area green space;;PM_(2.5);;plant community;;meteorological factor;;correlation analysis;;Boltzmann curve model
  • 中文刊名:XBLX
  • 英文刊名:Journal of Northwest Forestry University
  • 机构:浙江农林大学风景园林与建筑学院;黑龙江八一农垦大学农学院;杭州市临安区环境监测站;北京林业大学园林学院;
  • 出版日期:2019-07-12 09:54
  • 出版单位:西北林学院学报
  • 年:2019
  • 期:v.34;No.158
  • 基金:国家自然科学基金项目(51508515);; 浙江省大学生科技创新活动计划(2018R412044)
  • 语种:中文;
  • 页:XBLX201904037
  • 页数:7
  • CN:04
  • ISSN:61-1202/S
  • 分类号:245-251
摘要
以杭州市临安区林水山居为研究对象,在2017年冬季采用实地测量法对居住区内3个不同功能绿地和对照点的PM_(2.5)浓度、气象因子(温度、相对湿度、风速和光照强度)进行监测,评价绿地对居住区环境降低大气PM_(2.5)浓度的作用,同时探讨环境因素对PM_(2.5)浓度的影响。结果表明,居住区3个不同功能绿地和对照点的PM_(2.5)浓度日变化趋势基本一致,呈"单峰单谷"型;PM_(2.5)浓度均值从大到小依次是道路绿地>宅旁绿地>中心绿地>对照点。居住区的PM_(2.5)浓度与温度呈负相关关系(R~2=0.794 6);与相对湿度呈正相关(R~2=0.642 5);与风速呈负相关;与光照强度呈负相关,可拟合为线性方程y=95.3-4.7x,(0.05        Taking the Linshuishanju Residential Area in Lin?an District,Hangzhou as the research object,in the winter of 2017,the field measurement method was used to monitor the PM_(2.5) concentration and meteorological factors(temperature,relative humidity,wind speed and light intensity) in three different functional green spaces and the control point.The effect of green space on reducing atmospheric PM_(2.5) concentration in residential area was evaluated and the influence of environmental factors on PM_(2.5) concentration was explored.The results showed that the daily variation trends of PM_(2.5) concentration in three different functional green spaces and the control point were basically the same,showing "single peak and single valley" pattern; the order of PM_(2.5) concentration from large to small was road green space>house green space>central green space>the control point.There was a negative correlation between PM_(2.5) concentration and temperature(R~2=0.794 6),a positive correlation between PM_(2.5) concentration and relative humidity(R~2=0.642 5),a negative correlation between that and wind speed,and a negative correlation between that and light intensity,which could be fitted to a linear equation y=95.3-4.7x,(0.05
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