[1]冯万富,申明海*,单燕祥,等. 河南鸡公山林区PM2.5污染与气象因子全年时尺度相关性分析[J].西北林学院学报,2022,37(3):37-44.[doi:10.3969/j.issn.1001-7461.2022.03.06]
　FENG Wan-fu,SHEN Ming-hai*,SHAN Yan-xiang,et al. Correlation Analysis Between PM2.5 Pollution and Meteorological Factors in Jigong Mountain Forest Area of Henan Province[J].JOURNAL OF NORTHWEST FORESTRY UNIVERSITY,2022,37(3):37-44.[doi:10.3969/j.issn.1001-7461.2022.03.06]
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 河南鸡公山林区PM2.5污染与气象因子全年时尺度相关性分析()
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《西北林学院学报》[ISSN:1001-7461/CN:61-1202/S]

卷:
第37卷
期数:
2022年第3期
页码:
37-44
栏目:
出版日期:
2022-05-31

文章信息/Info

Title:
 Correlation Analysis Between PM2.5 Pollution and Meteorological Factors in Jigong Mountain Forest Area of Henan Province
文章编号:
1001-7461(2022)03-0037-08
作者:
 冯万富1; 2; 申明海1; 2*; 单燕祥1; 2; 沈新志3; 张建设1; 2; 李月凤1; 2
 （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.河南省信阳生态环境监测中心，河南 信阳 464000）
Author(s):
 FENG Wan-fu1; 2; SHEN Ming-hai1; 2*; SHAN Yan-xiang1; 2; SHEN Xin-zhi3; ZHANG Jian-she1; 2; LI Yue-feng1; 2
 (1.The Forest Science Research Institute of Xinyang,Xinyang 464031,Henan,China; 2.Henan Jigongshan Forest Ecosystem Research Station,Xinyang 464031,Henan,China; 3.Xinyang Ecological Environment Monitoring Center of Henan Province,Xinyang 464000,Henan,China)
关键词:
 ; 林区; PM2.5; 气象因子; 时尺度; 鸡公山
Keywords:
 ; forest area;  PM2.5;  meteorological factor;  hour scale;  Jigong Mountain
分类号:
S718.55
DOI:
10.3969/j.issn.1001-7461.2022.03.06
文献标志码:
A
摘要:
 利用鸡公山林区环境空气质量监测站2019年监测数据，对PM2.5污染及与气象因子在全年时尺度上的变化和关系进行系统的研究分析。结果表明：1) 林区PM2.5年均质量浓度为34.48 μg·m-3。2)降水对PM2.5污染具有显著的去除作用。3)全年PM2.5时均质量浓度与对应的气温、气压、空气湿度和风速4个气象因子间存在极显著的多元线性回归关系，且单气象因子对PM2.5时均质量浓度值的影响均达到极显著水平(P＜0.01)。4) 在时尺度上，各单气象因子与PM2.5质量浓度间的回归模型精度较低。为此，采取各单气象因子的等值点、小梯度递增与对应的PM2.5质量浓度值域一并平均后再回归，显著提高了两者间的回归精度，更适于通过单气象因子估算PM2.5质量浓度。研究结果揭示了林区PM2.5污染特征，可为区域大气污染联防联治和景区森林旅游资源开发提供参考。
Abstract:
 At present,the problems of regional atmospheric environment characterized by PM2.5 pollutants are prominent in China.The changes and relations between PM2.5 pollution and meteorological factors in the Jigong Mountain forest area in the whole year of 2019 were systematically studied based on the data collected by Jigong Mountain Air Quality Monitoring Station.The results showed that 1) the average annual mass concentration of PM2.5 in Jigongshan forest area was 34.48 μg·m-3.2) Precipitation had significant removal effect on PM2.5 pollution.3) Significant multivariate linear regression relationships were found between the mean mass concentrations of PM2.5 and corresponding meteorological factors,including temperature,air pressure,air humidity and wind speed.The effect of single meteorological factor on the mean mass concentration of PM2.5 reached a very significant level (P<0.01).4) On the whole year time scale,the accuracy of the regression model between the single meteorological factor and the PM2.5 concentration was low.Therefore,by means of equal points,small gradient increment and corresponding PM2.5 concentration of each single meteorological factor,the regression accuracy was improved significantly,better for estimating PM2.5 concentrations through single meteorological factors.According to the research results,the characteristics of PM2.5 pollution in forest areas were revealed,which could provide a reference for regional air pollution prevention and control and forest tourism resources development.

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备注/Memo

备注/Memo:
 收稿日期：2021-04-22修回日期：2021-06-21
基金项目：国家林业和草原局林业科技创新平台运行补助项目（2019132082）；河南省科技攻关计划项目（172102310561）。
第一作者：冯万富，高级工程师。研究方向：森林生态系统关键过程长期观测与模拟以及城市森林净化环境空气功能。E-mail:lksfwf@163.com
*通信作者：申明海，高级工程师。研究方向：森林生态。E-mail:13939712717@126.com
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