[1]王誉洁,黄天丽,孙丰宾,等. 冬季居住区不同功能绿地PM2.5浓度变化及其与气象因子的关系[J].西北林学院学报,2019,34(4):239-245.[doi:10.3969/j.issn.1001-7461.2019.04.37]
　WANG Yu-jie,HUANG Tian-li,SUN Feng-bin,et al. Winter PM2.5 Concentration Changes of Different Functional Green Spaces in the Residential Area and Their Correlations with Meteorological Factors[J].JOURNAL OF NORTHWEST FORESTRY UNIVERSITY,2019,34(4):239-245.[doi:10.3969/j.issn.1001-7461.2019.04.37]
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 冬季居住区不同功能绿地PM2.5浓度变化及其与气象因子的关系()
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《西北林学院学报》[ISSN:1001-7461/CN:61-1202/S]

卷:
第34卷
期数:
2019年第4期
页码:
239-245
栏目:
出版日期:
2019-07-31

文章信息/Info

Title:
 Winter PM2.5 Concentration Changes of Different Functional Green Spaces in the Residential Area and Their Correlations with Meteorological Factors
文章编号:
1001-7461(2019)04-0239-07
作者:
 王誉洁1; 黄天丽1; 孙丰宾2; 何欢3; 齐锋1; 晏海1; 邵锋1; 4*
 (1.浙江农林大学 风景园林与建筑学院，浙江 杭州 311300；2.黑龙江八一农垦大学 农学院，黑龙江 大庆 163319；3.杭州市临安区环境监测站，浙江 杭州 311300；4.北京林业大学 园林学院，北京 100083)
Author(s):
 WANG Yu-jie1; HUANG Tian-li1; SUN Feng-bin2; HE Huan3; QI Feng1; YAN Hai1; SHAO Feng1; 4*
 (1.School of Landscape Architecture,Zhejiang Agriculture and Forestry University,Hangzhou 311300,Zhejiang,China; 2.School of Agriculture,Heilongjiang Bayi Agricultural University,Daqing 163319,Heilongjiang,China; 3.Hangzhou Lin’an District Environmental Monitoring Station,Hangzhou 311300,Zhejiang,China)
关键词:
 ; 居住区绿地; PM2.5; 植物群落; 气象因子; 相关性分析; Boltzmann曲线模型
Keywords:
 ; residential area green space;  PM2.5;  plant community;  meteorological factor;  correlation analysis;  Boltzmann curve model
分类号:
S731.5
DOI:
10.3969/j.issn.1001-7461.2019.04.37
文献标志码:
A
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PM2.5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PM2.5浓度的作用，同时探讨环境因素对PM2.5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PM2.5浓度日变化趋势基本一致，呈“单峰单谷”型；PM2.5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PM2.5浓度与温度呈负相关关系(R2=0.794 6)；与相对湿度呈正相关(R2=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<P<0.1)。居住区内道路绿地应设计复层、郁闭度高的群落结构；宅旁绿地应以单一结构且郁闭度低的植物群落为主；在居住区边界设置复层植物群落结构的绿地，而内部宜采用通透、舒朗的群落结构。
Abstract:
 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 PM2.5 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 PM2.5 concentration in residential area was evaluated and the influence of environmental factors on PM2.5 concentration was explored.The results showed that the daily variation trends of PM2.5 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 PM2.5 concentration from large to small was road green space>house green space>central green space>the control point.There was a negative correlation between PM2.5 concentration and temperature (R2=0.794 6),a positive correlation between PM2.5 concentration and relative humidity (R2=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<P<0.1).The road green space in the residential area should be designed with a multi-layered plant community of high crown density; the green space next to the house should be dominated by a single structure of low crown density.A greenbelt with a multi-layered plant community should be planted at the boundary of the residential area,while a low-density community structure should be used internally.

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备注/Memo

备注/Memo:
 收稿日期：2018-09-15修回日期：2018-11-15
基金项目：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)。
作者简介：王誉洁，女，硕士在读，研究方向：园林植物应用与园林生态。E-mail:335194276@qq.com
*通信作者：邵锋，男，副教授，博士在读，研究方向：园林植物应用与园林生态。E-mail:shaofeng79@sina.com
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