[1]黄芳,章银柯,张天然,等.不同城建绿地内PM2.5 浓度季节变化及其与气象因子的关系[J].浙江林业科技,2021,41(01):16-23.[doi:10.3969/j.issn.1001-3776.2021.01.003]
 HUANG Fang,ZHANG Yin-ke,ZHANG Tian-ran,et al.Seasonal Variation of PM2.5 Concentration and Correlations with Meteorological Factors inDifferent Urban Green Spaces[J].Journal of Zhejiang Forestry Science and Technology,2021,41(01):16-23.[doi:10.3969/j.issn.1001-3776.2021.01.003]
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不同城建绿地内PM2.5 浓度季节变化及其与气象因子的关系()
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《浙江林业科技》[ISSN:1001-3776/CN:33-1112/S]

卷:
41
期数:
2021年01期
页码:
16-23
栏目:
出版日期:
2021-02-10

文章信息/Info

Title:
Seasonal Variation of PM2.5 Concentration and Correlations with Meteorological Factors inDifferent Urban Green Spaces
文章编号:
1001-3776(2021)01-0016-08
作者:
黄芳 1章银柯2张天然1李晓璐1于慧1袁楚阳1莫莉3邵锋1
(1. 浙江农林大学风景园林与建筑学院,浙江杭州 311300;2. 杭州植物园,浙江杭州 310012;3. 生态环境部土壤与农业农村生态环境监管技术中心,北京100012)
Author(s):
HUANG Fang1ZHANG Yin-ke2ZHANG Tian-ran1LI Xiao-lu1YU Hui1YUAN Chu-yang1MO Li3SHAO Feng1
(1. School of Landscape Architecture, Zhejiang A& F University, Hangzhou 311300, China; 2. Hangzhou Botanical Garden, Hangzhou 310012, China;3. Monitoring Centre for Soil, Agriculture and Rural Ecology and Environment, Ministry of Ecology and Environment, Beijing 100012, China)
关键词:
城建绿地PM2.5气象因子相关性分析临安
Keywords:
urban green space PM2.5 meteorological factor correlation analysis Lin’an
分类号:
X171
DOI:
10.3969/j.issn.1001-3776.2021.01.003
文献标志码:
A
摘要:
以杭州市临安区4 种不同类型的城建绿地(居住区绿地、商业绿地、公共服务设施绿地和广场绿地)为研究对象,在2017 年3 月-2018 年2 月,采用实地测量法对绿地内的PM2.5 浓度及气象因子(温度、相对湿度和风速)进行监测,研究城建绿地内PM2.5 浓度的时空变化规律及其与气象因子的关系。结果表明,不同绿地的PM2.5浓度季节变化均表现为冬季>秋季>春季>夏季;春、夏和冬3 个季节的PM2.5 浓度依次为商业绿地>居住区绿地>公共服务设施绿地>广场绿地,秋季为商业绿地>居住区绿地>广场绿地>公共服务设施绿地;绿地内PM2.5 浓度日变化受人为活动和交通排放影响较大,在下班高峰时段(17:00-20:00)表现尤为明显;气象因子对PM2.5 浓度变化有重要影响,绿地内的PM2.5 浓度与温度呈极显著负相关(P<0.01)、与相对湿度呈显著正相关(P<0.05)、与风速显著相关(P<0.05)。
Abstract:
Determinations were implemented on PM2.5 concentration and meteorological factors (temperature, relative humidity and wind speed) inthe four different urban green spaces in Lin’an district, Zhejiang province from March 2017 to February 2018. The results showed that the seasonalvariations of PM2.5 concentration in different green spaces were followed by winter > autumn > spring > summer. PM2.5 concentration in the spring,summer and winter was ordered by commercial area green space > residential district green space > public service facilities green space > squaregreen space, and in the autumn was by commercial area green space > residential district green space > square green space > public service facilitiesgreen space. The daily variation of PM2.5 concentration in above-mentioned green spaces was greatly affected by the flow of people and trafficemissions, which was particularly pronounced during the off-hours peak (17:00-20:00). There was a extremely significant negative correlation ofPM2.5 concentration in green spaces with temperature (P<0.01), but significant positive correlation with relative humidity (P<0.05), and correlationwith wind speed (P<0.05).

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备注/Memo

备注/Memo:
收稿日期:2020-06-15;修回日期:2020-11-20作者简介:黄芳,硕士生,从事园林植物应用与园林生态研究;E-mail: 1759846140@qq.com。通信作者:邵锋,副教授,博士,从事园林植物应用与园林生态研究;E-mail: shaofeng@zafu.edu.cn。
更新日期/Last Update: 2021-02-10