清源山风景区大气颗粒物浓度变化特征分析

doi:10.13466/j.cnki.lyzygl.2017.06.023

林业资源管理 ›› 2017, Vol. 0 ›› Issue (6): 131-136.doi: 10.13466/j.cnki.lyzygl.2017.06.023

清源山风景区大气颗粒物浓度变化特征分析

王敏华¹^,², 傅伟聪¹^,², 黄淑萍¹^,², 朱志鹏¹^,², 陈梓茹¹^,², 董建文¹^,²()

1.福建农林大学艺术学院&园林学院,福州 350002
2.国家林业局森林公园工程技术研究中心,福州 350002

收稿日期:2017-11-29 修回日期:2017-12-07 出版日期:2017-12-28 发布日期:2020-09-28
通讯作者: 董建文
作者简介:王敏华(1977-),女,福建福州人,讲师,硕士,研究方向为为美丽城镇景观规划设计。
基金资助:
福建省林业科学研究项目“森林公园风景游憩林生态功能评价指标体系”(KLB17001A);国家林业公益性行业科研专项美丽城镇森林景观的构建技术研究与示范(201404301);国家林业公益性行业科研专项森林公园绿色名录与森林风景资源培育技术(201404315)

Variation and Characteristics of Atmospheric Particulates in Qingyuan Mountain Scenic Spots

WANG Minhua¹^,², FU Weicong¹^,², HUANG Shuping¹^,², ZHU Zhipeng¹^,², CHEN Ziru¹^,², DONG Jianwen¹^,²()

1. College of Landscape and Architecture,Fujian Agriculture and Forestry University Fuzhou,Fujian 350002,China
2. State Forestry Administration National Forest Park Engineering Research Center,Fuzhou,Fujian 350002,China

Received:2017-11-29 Revised:2017-12-07 Online:2017-12-28 Published:2020-09-28
Contact: DONG Jianwen

摘要/Abstract

摘要：

基于2015—2016年的监测数据,分析福建省泉州清源山大气颗粒物(PMs)浓度的变化规律,探究大气污染物(SO₂,NO₂,CO,O₃)及气象因子(风速、温度、相对湿度)对PMs的影响。结果表明:1)清源山空气质量处于较高水平;2)大气颗粒物浓度年变化规律呈春冬季高,夏秋低的变化特征;3)不同季节、不同月份、不同污染程度及不同天气条件下的日变化特征变现不同;4)气象因子、其它污染物浓度与大气颗粒物浓度具有很强的相关性。研究结果可作为景区引导旅客游览以及管理建设提供参考。

关键词: 低山丘陵区, 大气颗粒物, 大气污染物, 气象因子

Abstract:

This study analyzed the characteristics of atmospheric particulate matters (PMs) and their influencing factors (e.g. other pollutants: SO₂,NO₂,CO,O₃ and meteorological factors:wind speed,temperature,relative humidity) during 2015—2016 (2 years). The result showed that 1) The air quality of Qingyuan Mountain Scenic Area was at a high level;2) The annual variation of PMs concentration was showed temporal,high in spring and winter,low in summer and autumn;3) The daily variations showed different characteristics in different seasons,different months,and the days with different levels of pollution;4) Meteorological factors,other pollutant concentrations and PMs concentration have a strong correlation. The results can be used as a data base for managers to guide tourists and management.

Key words: hilly area, atmospheric particulate matter, air pollutant, meteorological factor, Quanzhou

中图分类号:

X513

王敏华, 傅伟聪, 黄淑萍, 朱志鹏, 陈梓茹, 董建文. 清源山风景区大气颗粒物浓度变化特征分析[J]. 林业资源管理, 2017, 0(6): 131-136.

WANG Minhua, FU Weicong, HUANG Shuping, ZHU Zhipeng, CHEN Ziru, DONG Jianwen. Variation and Characteristics of Atmospheric Particulates in Qingyuan Mountain Scenic Spots[J]. FOREST RESOURCES WANAGEMENT, 2017, 0(6): 131-136.

图/表 7

表1

图1

图2

图3

图4

图5

表2

参考文献 24

[1]	Du K, Mu C, Deng J, et al. Study on atmospheric visibility variations and the impacts of meteorological parameters using high temporal resolution data: an application of environmental internet of things in China[J]. International Journal of Sustainable Development and World Ecology, 2013,20(3):238-247.
[2]	Ying I T. Atmospheric visibility trends in an urban area in Taiwan 1961—2003[J]. Atmospheric Environment, 2005,39(30):5555-5567. doi: 10.1016/j.atmosenv.2005.06.012
[3]	Nishanth T, Praseed K M, Rathnakaran K, et al. Atmospheric pollution in a semi-urban,coastal region in India following festival seasons[J]. Atmospheric Environment, 2012,47(1):295-306. doi: 10.1016/j.atmosenv.2011.10.062
[4]	Malm W C, Sisler J F, Huffman D, et al. Spatial and seasonal trends in particle concentration and optical extinction in the United States[J]. Journal of Geophysical Research Atmospheres, 2007,112(D4):D14301. doi: 10.1029/2006JD008085
[5]	Xue D, Li C, Liu Q. Visibility characteristics and the impacts of air pollutants and meteorological conditions over Shanghai,China[J]. Environmental Monitoring and Assessment, 2015,187(6):363. doi: 10.1007/s10661-015-4581-8 pmid: 25980729
[6]	Chai F H, Gao J, Chen Z X, et al. Spatial and temporal variation of particulate matter and gaseous pollutants in 26 cities in China[J]. Journal of Environmental Sciences, 2014,26(1):75-82. doi: 10.1016/S1001-0742(13)60383-6
[7]	Liu XG, Li J, Qu Y, et al. Formation and evolution mechanism of regional haze: a case study in the megacity Beijing,China[J]. Atmospheric chemistry and physics, 2013,13(9):4501-4514. doi: 10.5194/acp-13-4501-2013
[8]	Song Y, Wan X M, Bai S X, et al. The Characteristics of Air Pollutants during Two Distinct Episodes of Fireworks Burning in a Valley City of North China[J]. PLoS One, 2017: 12(1):168-297.
[9]	Xu L L, Chen X Q, Chen J S, et al. Seasonal variations and chemical compositions of PM_2.5 aerosol in the urban area of Fuzhou,China[J]. Atmos.Res., 2012,104(1):264-272.
[10]	Molnar A, Meszaros E, Imre K, et al. Trends in visibility over Hungary between 1996and 2002[J]. Atmospheric Environment, 2008,42(11):2621-2629. doi: 10.1016/j.atmosenv.2007.05.012
[11]	兰思仁, 戴永务, 沈必胜. 中国森林公园和森林旅游的三十年[J]. 林业经济问题, 2014,34(2):97-106.
[12]	兰思仁. 国家森林公园理论与实践[M]. 北京: 中国林业出版社, 2004.
[13]	尹伟伦. 全球森林与环境关系研究进展[J]. 森林与环境学报, 2015,35(1):1-7.
[14]	崔红芬. 泉州清源山三世佛造像记考论[J]. 民族研究, 2011(3):63-68.
[15]	杨琳珩. 基于GIS的清源山景区旅游资源管理信息系统的设计与实现[D]. 泉州:华侨大学, 2011.
[16]	吴德龙. 清源山风景区避难场所研究[D]. 泉州:华侨大学, 2014.
[17]	Chang D, Song Y, Liu B. Visibility trends in six megacities in China 1973—2007[J]. Atmospheric Research, 2009,94(2):161-167. doi: 10.1016/j.atmosres.2009.05.006
[18]	GB3095-2012,环境空气质量标准[S].
[19]	傅伟聪, 董嘉莹, 王茜, 等. 福州市冬季若干典型游憩地大气颗粒物浓度日变化规律研究[J]. 热带作物学报, 2014,35(2):348-354.
[20]	黄鹂鸣, 王格慧, 王荟, 等. 南京市空气中颗粒物PM₁₀ PM_2.5污染水平[J]. 中国环境科学, 2002,22(4):334-337.
[21]	傅伟聪, 陈梓茹, 朱志鹏, 等. 福州城郊不同游憩空间大气颗粒物浓度的变化规律——以福建农林大学校园为例[J]. 福建农林大学学报:自然科学版, 2016,45(4):458-464.
[22]	傅伟聪, 齐津达, 朱志鹏, 等. 百里杜鹃森林公园杜鹃盛开期大气颗粒物浓度变化特征[J]. 西北林学院学报, 2016,31(2):288-294.
[23]	Wang Y G, Ying Q, Hu J L, et al. Spatial and temporal variations of six criteria air pollutants in 31 provincial capital cities in China during 2013—2014[J]. Environment International, 2014,73(12):413-422.
[24]	Ji D S, Wang Y S, Wang L L, et al. Analysis of heavy pollution episodes in selected cities of northern China[J]. Atmospheric Environment, 2012,50(4):338-348.

监测指标		计数	均值±标准差	最小值	中位数	最大值
大气污染物	空气质量指数AQI	15339	40.56±20.71	6.00	36.00	232.00
	PM₁₀/(μg/m³)	15332	40.14±32.14	0.00	34.00	342.00
	PM_2.5 /(μg/m³)	15147	21.66±12.04	1.00	18.00	182.00
	一氧化碳CO/(mg/m³)	15339	0.56±0.22	0.00	0.53	6.50
	二氧化硫SO₂/(μg/m³)	15339	8.84±9.7	0.00	7.00	389.00
	二氧化氮NO₂ /(μg/m³)	15339	12.86±8.55	0.00	11.00	65.00
	臭氧O₃ /(μg/m³)	15339	56.55±28.65	0.00	55.00	288.00
气象因子	温度/(°C)	15339	22.46±6.62	1.00	23.00	37.00
	相对湿度/%	15339	78±18.14	15.00	79.00	99.00
	风速/(m/s)	15339	3.38 ±1.99	0.00	3.00	22.00

PMs	相关性	风速WS	温度T	湿度RH	AQI	SO₂	NO₂	CO	O₃	PM_2.5	PM₁₀
PM_2.5	相关性	-0.096	-0.088	-0.078	0.846	0.248	0.389	0.318	0.333	—	0.703
PM_2.5	显著性	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	—	0.00
PM₁₀	相关性	-0.045	0.046	-0.145	0.921	0.396	0.471	0.210	0.321	0.703	—
PM₁₀	显著性	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	—

清源山风景区大气颗粒物浓度变化特征分析

Variation and Characteristics of Atmospheric Particulates in Qingyuan Mountain Scenic Spots

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

图/表 7

参考文献 24

相关文章 1

编辑推荐

Metrics

本文评价