[1]冯万富,周继良,张建设,等. 信阳市不同生态功能区PM10和PM2.5污染特征[J].西北林学院学报,2018,33(2):269-275.[doi:10.3969/j.issn.1001-7461.2018.02.44]
 FENG Wan-fu,ZHOU Ji-liang,ZHANG Jian-she,et al. PM10 and PM2.5 Pollution Characteristics in Different Ecological Function Zones in Xinyang[J].JOURNAL OF NORTHWEST FORESTRY UNIVERSITY,2018,33(2):269-275.[doi:10.3969/j.issn.1001-7461.2018.02.44]
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 信阳市不同生态功能区PM10和PM2.5污染特征()
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《西北林学院学报》[ISSN:1001-7461/CN:61-1202/S]

卷:
第33卷
期数:
2018年第2期
页码:
269-275
栏目:
出版日期:
2018-03-31

文章信息/Info

Title:
 PM10 and PM2.5 Pollution Characteristics in Different Ecological Function Zones in Xinyang
文章编号:
1001-7461(2018)02-0269-07
作者:
 冯万富12周继良3张建设12单燕祥12李月凤12张玉虎12
 (1.河南省信阳市林业科学研究所,河南 信阳 464031;2.河南鸡公山森林生态系统国家定位观测研究站,河南 信阳 464031;3.信阳市环境监测站,河南 信阳 464000)
Author(s):
 FENG Wan-fu12ZHOU Ji-liang3ZHANG Jian-she12SHAN Yan-xiang12LI Yue-feng12ZHANG Yu-hu12
 (1.The Forest Science Research Institute of Xinyang,Xinyang,Henan 464031,China;2.Henan Jigongshan Forest Ecosystem Research Station,Xinyang,Henan 464031,China;3.The Environmental Monitoring Station of Xinyang,Xinyang,Henan 464000,China)
关键词:
 生态功能区森林植被气象因子PM10PM2.5信阳
Keywords:
 ecological function zone forest cover meteorological factor PM10 PM2.5 Xinyang
分类号:
S731.2
DOI:
10.3969/j.issn.1001-7461.2018.02.44
文献标志码:
A
摘要:
 目前大气颗粒物污染已成为严重的城市环境问题。利用2015年4个位于信阳市不同生态功能区的环境空气质量监测站数据,比较分析4个站点的PM10和PM2.5污染日变化、季节变化和年际变化特征及其影响因素。结果表明,1) 4个站点2015年PM10和PM2.5质量浓度平均值均表现为南湾水厂<平桥分局<审计局<酿酒公司。2)森林植被对大气颗粒物浓度有明显的削减功能。在不同季节和一天中的不同时段,森林植被盖度高的南湾水厂监测站PM10和PM2.5质量浓度平均值均明显低于其他3个站点。3)4个站点的颗粒物污染均表现为夏季最轻,秋季其次,冬季污染最严重。4)4个站点的PM10和PM2.5质量浓度日变化特征基本一致,日峰值和最低值出现的时间基本同步。夜间颗粒物污染比白天严重。5)2014-2016年,4个站点的PM10和PM2.5质量浓度均呈现逐年下降趋势。6)影响颗粒物污染的最主要气象因子是气温和气压。PM10和PM2.5浓度与日均气温、日均风速和日最大风速均呈极显著负相关 (P<0.01),与日均气压均呈极显著正相关(P<0.01);PM2.5日均浓度与日均相对湿度呈显著正相关(P<0.05)。这些结果显示了信阳市大气颗粒物污染特征,可为当地大气污染防治工作提供参考。
Abstract:
 Currently,atmospheric particulate pollution has become a serious urban environmental problem.Based on the Data collected from four air quality monitoring stations in different ecological function zones of Xinyang city in 2015,diurnal and seasonal changes,inter-annual change features and their influencing factors of PM10 and PM2.5 were analyzed.The results showed that 1) the average values of PM10 and PM2.5 mass concentration in four stations in 2015 were in the order of Nanwan Water Plant<Pingqiao Branch<Auditing Bureau<Brewing Company.2) Forest coverage had an evident reduction function on atmospheric particulates.In different seasons and different stages in one day,the average value of PM10 and PM2.5 mass concentration in Nanwan water plant,which had a high forest coverage,was evidently lower than those of other 3 stations.3) The atmospheric particulate pollution degree in summer in four stations was the lightest,followed by autumn,while the pollution degree in winter was the most serious.4) The diurnal changes of PM10 and PM2.5 mass concentration in four stations were basically consistent and the diurnal peak value and the minimum value were basically synchronous.The particulate pollution degree at night was more serious than that in the daytime.5) From 2014 to 2016,the concentration of PM10 and PM2.5 in four stations showed a decreasing trend year by year.6) The main meteorological factors that affected particulate pollution were temperature and atmospheric pressure.PM10 and PM2.5 concentrations were significantly and negatively related to daily mean temperature,daily mean wind speed and daily maximum wind speed (P<0.01),and they were significantly and positively related to daily mean atmospheric pressure (P<0.01); PM2.5 concentration was significantly and positively related to daily mean relative humidity (P<0.05).These results showed atmospheric particulate pollution feature in Xinyang City and could provide a reference for local atmospheric pollution prevention and control work.

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备注/Memo

备注/Memo:
 收稿日期:2017-05-02修回日期:2017-10-11
基金项目:国家林业公益性行业科研专项(20130430101);河南省科技攻关计划项目(172102310561);信阳市科技计划项目(150088)。
作者简介:冯万富,男,高级工程师,研究方向:森林生态系统关键过程观测与模拟以及城市森林净化环境空气功能。E-mail:lksfwf@163.com
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