桂林城区大气能见度与颗粒物浓度和气象因子关系研究

doi:10.3969/j.issn.1673-503X.2020.01.003

Abstract

Abstract:

The relationships between atmospheric visibility and particulate matter (PM) concentrations and meteorological parameters in the urban area of Guilin city were analyzed using the meteorological observation data (including visibility, wind speed, relative humanity, air temperature, air pressure, rainfall, etc) and particulate matter (PM₁₀, PM_2.5, and PM_1.0) mass concentrations observed at the Guilin National Basic Meteorological Station from January 2015 to June 2017.The results indicated that there is a logarithmic function relationship between atmospheric visibility and PM₁₀, PM_2.5, and PM_1.0, with the correlation coefficients of -0.341, -0.461 and -0.509, respectively.The effect of PM on visibility is most remarkable when relative humidity varied between 60% and 70%.Atmospheric visibility has the largest correlation with wind speed in a quadratic function relationship, followed by relative humidity in a power-law relationship.Visibility has a small correlation with air temperature, and a positive correlation with air pressure in autumn and winter, with a correlation coefficient of 0.301 in winter, but such correlation is poor in spring and summer.We establish eight non-linear statistical regression models to predict atmospheric visibility using different meteorological parameters and PM concentrations.The model shows the best performance to simulate the variation of visibility in different seasons when considering PM₁₀, wind speed, relative humidity, and air temperature.

Key words: Atmospheric visibility, Particulate matter concentration, Meteorological parameter, Non-linear correlation, Regression model

CLC Number:

P427.2

Feng-xiang LONG, Yu-lin ZHANG. Relationship between atmospheric visibility and particulate matter concentration and meteorological parameters in Guilin urban area[J]. Journal of Meteorology and Environment, 2020, 36(1): 21-27.

Figures/Tables 13

Fig.1

Table 1

Table 2

Table 3

Table 4

Fig.2

Table 5

Table 6

Table 7

Table 8

Fig.3

Fig.4

Fig.5

References 26

1	中国气象局. 地面气象观测规范[M]. 北京: 气象出版社, 2003: 21.
2	于凤莲, 刘东贤, 胡英. 有关气溶胶细粒子对城市能见度影响的研究[J]. 气象科技, 2002, 30 (6): 379- 383. doi: 10.3969/j.issn.1671-6345.2002.06.014
3	白志鹏, 董海燕, 蔡斌彬, 等. 灰霾与能见度研究进展[J]. 过程工程学报, 2006, 6 (S2): 36- 41.
4	吴彬贵, 解以扬, 吴丹朱, 等. 京津塘高速公路秋冬季低能见度及应对措施[J]. 自然灾害学报, 2009, 18 (4): 12- 17. doi: 10.3969/j.issn.1004-4574.2009.04.003
5	吴兑, 刘啟汉, 梁延刚, 等. 粤港细粒子(PM_2.5)污染导致能见度下降与灰霾天气形成的研究[J]. 环境科学学报, 2012, 32 (11): 2660- 2669.
6	Koschmieder H . Theorie der horizontalen Sichtweite[J]. Beiträge zur Physik der freien Atmosphäre, 1924, (12): 33- 53.
7	Craig C D , Faulkenberry G D . The application of ridit analysis to detect trends in visibility[J]. Atmospheric Environment, 1979, 13 (12): 1617- 1622. doi: 10.1016/0004-6981(79)90319-6
8	Kim Y J , Kim K W , Kim S D , et al. Fine particulate matter characteristics and its impact on visibility impairment at two urban sites in Korea:Seoul and Incheon[J]. Atmospheric Environment, 2006, 40 (S2): 593- 605.
9	吴兑, 邓雪娇, 毕雪岩, 等. 细粒子污染形成灰霾天气导致广州地区能见度下降[J]. 热带气象学报, 2007, 23 (1): 1- 6. doi: 10.3969/j.issn.1004-4965.2007.01.001
10	胡晓, 徐璐, 蒋飞燕, 等. 宁波地区不同季节不同强度霾天气变化特征[J]. 气象与环境学报, 2018, 34 (5): 31- 38. doi: 10.3969/j.issn.1673-503X.2018.05.005
11	宋宇, 唐孝炎, 方晨, 等. 北京市能见度下降与颗粒物污染的关系[J]. 环境科学学报, 2003, 23 (4): 468- 471.
12	白爱娟, 钟文婷, 华兰, 等. 成都市大气能见度变化特征及影响因子研究[J]. 中国环境监测, 2014, 30 (2): 21- 25. doi: 10.3969/j.issn.1002-6002.2014.02.004
13	杨洪斌, 邹旭东, 汪宏宇, 等. 大气环境中PM_2.5的研究进展与展望[J]. 气象与环境学报, 2012, 28 (3): 77- 82. doi: 10.3969/j.issn.1673-503X.2012.03.014
14	刘红年, 胡荣章, 张美根. 城市灰霾数值预报模式的建立与应用[J]. 环境科学研究, 2009, 22 (6): 631- 636.
15	朱焱, 杨金彪, 朱莲芳, 等. 苏州市能见度与影响因子关系研究[J]. 气象科学, 2011, 31 (5): 626- 631. doi: 10.3969/j.issn.1009-0827.2011.05.011
16	朱轶明, 张晋广, 袁健, 等. 盖州市大气能见度与气象条件相关分析[J]. 气象与环境学报, 2016, 32 (4): 55- 62. doi: 10.3969/j.issn.1673-503X.2016.04.007
17	姜江, 郭文利, 王春玲. 2007-2015年北京地区能见度时空变化特征[J]. 气象与环境学报, 2019, 35 (1): 45- 52. doi: 10.3969/j.issn.1673-503X.2019.01.006
18	陈义珍, 赵丹, 柴发合, 等. 广州市与北京市大气能见度与颗粒物质量浓度的关系[J]. 中国环境科学, 2010, 30 (7): 967- 971.
19	张剑, 刘红年, 唐丽娟, 等. 苏州城区能见度与颗粒物浓度和气象要素的相关分析[J]. 环境科学研究, 2011, 24 (9): 982- 987.
20	黄元龙, 杨新. 大气细颗粒物对大气能见度的影响[J]. 科学通报, 2013, 58 (13): 1165- 1170.
21	Liu X G , Cheng Y F , Zhang Y H , et al. Influences of relative humidity and particle chemical composition on aerosol scattering properties during the 2006 PRD campaign[J]. Atmospheric Environment, 2008, 42 (7): 1525- 1536. doi: 10.1016/j.atmosenv.2007.10.077
22	白永清, 祁海霞, 刘琳, 等. 武汉大气能见度与PM_2.5浓度及相对湿度关系的非线性分析及能见度预报[J]. 气象学报, 2016, 74 (2): 189- 199.
23	施悯悯, 张庆国, 张浩, 等. 合肥市大气能见度变化特征及其影响因素[J]. 应用生态学报, 2017, 28 (2): 485- 492.
24	Deng J J , Wang T J , Jiang Z Q , et al. Characterization of visibility and its affecting factors over Nanjing, China[J]. Atmospheric Research, 2011, 101 (3): 681- 691. doi: 10.1016/j.atmosres.2011.04.016
25	安林昌, 张恒德, 李凯飞. 降雨天气对大气污染物浓度的影响分析[J]. 气象与环境学报, 2018, 34 (3): 58- 70. doi: 10.3969/j.issn.1673-503X.2018.03.007
26	刘西川, 高太长, 刘磊, 等. 降水现象对大气消光系数和能见度的影响[J]. 应用气象学报, 2010, 21 (4): 433- 441. doi: 10.3969/j.issn.1001-7313.2010.04.006

参数	能见度与PM₁₀拟合方程参数值	能见度与PM_2.5拟合方程参数	能见度与PM_1.0拟合方程参数
α	22.437	26.021	26.694
β	-3.287	-4.725	-5.195

相对湿度/(%)	拟合方程	R
0—50	y=20.97e^-0.01x	0.64
50—60	y=22.79e^-0.02x	0.75
60—70	y=59.21x^-0.54	0.77
70—80	y=48.85x^-0.53	0.72
80—90	y=37.94x^-0.53	0.73
90—100	y=37.23x^-0.69	0.73

时间	气压	气温	相对湿度	风速	降水
春季	-0.040^*	0.186^**	-0.448^**	0.603^**	-0.132^**
夏季	-0.097^*	0.414^**	-0.629^**	0.560^**	-0.216^**
秋季	0.188^**	-0.175^**	-0.309^**	0.357^**	-0.147^**
冬季	0.301^**	-0.217^**	-0.327^**	0.472^**	-0.101^**
全年	-0.081^*	0.205^**	-0.350^**	0.448^**	-0.128^**

风速/(m·s^-1)	≤1	1—2	2—3	≥3
能见度/km	6.2	9.3	12.8	20.8

相对湿度/(%)	≤40	40—50	50—60	60—70	70—80	80—90	90—100
能见度/km	13.6	13.4	13.2	11.8	10.5	9.5	4.5

Relationship between atmospheric visibility and particulate matter concentration and meteorological parameters in Guilin urban area

RichHTML

PDF (PC)

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 13

References 26

Related Articles 13

Metrics

Comments

Recommended 10

时间段	PM_1.0	风速	相对湿度	气温	多要素线性拟合
降水	0.147^**	0.071^**	0.143^**	0.127^**	0.445^**
非降水	0.381^**	0.233^**	0.233^**	0.192^*	0.668^**
全部时段	0.313^**	0.242^**	0.226^**	0.159^**	0.614^**

模型	R	R²	因子
模型1	0.697	0.486	气压、相对湿度、风速、降水、PM_1.0
模型2	0.817	0.668	气压、相对湿度、风速、降水、PM₁₀、PM_1.0
模型3	0.806	0.650	气压、相对湿度、风速、PM_1.0、PM₁₀
模型4	0.802	0.643	气压、相对湿度、风速、降水、PM_1.0
模型5	0.655	0.429	风速、PM_1.0
模型6	0.734	0.538	相对湿度、PM_1.0
模型7	0.749	0.561	相对湿度、风速、PM_1.0
模型8	0.789	0.623	相对湿度、风速、气温、PM_1.0

时间	a0	a1	a2	a3	a4	a5	a6	a7	a8	R²	实测值与拟合值相关系数
春季	32.943	-5.202	-0.204	0.110	-0.072	0.045	-0.154	-0.036	0.001	0.754	0.867
夏季	48.360	-3.883	2.032	-0.083	47.173	-0.011	-6.498	0.268	-0.030	0.689	0.830
秋季	59.315	-8.552	-0.013	-0.011	-1.147	0.024	-0.593	-0.021	0.001	0.705	0.840
冬季	41.993	-7.200	-0.077	-0.092	-1.292	0.020	-0.366	0.032	-0.001	0.651	0.807
全年	24.037	-5.531	1.151	-0.062	-0.077	0.047	0.488	-0.065	0.002	0.623	0.789

[1]	ZHENG Qing-feng, SHI Jun, DONG Guang-tao, HUANG Wen-juan, XU Wei-zhong, WANG Quan-yuan. Characteristics of air quality index and its correlation with meteorological parameters in Shanghai [J]. Journal of Meteorology and Environment, 2019, 35(5): 53-62.
[2]	HU Cai-jiao, LI Jin-lun, WANG Zu-wu, CHENG Hai-rong, KE Hao-hao, WU Wan-ye. Characteristics of atmospheric PM₁₀ and PM_2.5 mass concentrations in Huangshi city [J]. Journal of Meteorology and Environment, 2019, 35(4): 40-46.
[3]	CAO Jing-fu, YANG Yan-juan, CHEN Yue-hao, WANG Min, HAO Li-sheng. Assessment on meteorological parameters designed for the Heating,Ventilation and Air Conditioning (HVAC) systems in super high-rise buildings in Tianjin [J]. Journal of Meteorology and Environment, 2019, 35(4): 133-138.
[4]	XIANG Cheng-cheng, CHAI Man. Characteristics of spatiotemporal variation clustering of PM_2.5 and its meteorological influence in cities of Liaoning province [J]. Journal of Meteorology and Environment, 2019, 35(1): 35-44.
[5]	TIAN Lei, PEI Lin, CHEN Yu-gang, XIA Jiang-jiang, WANG Xiang. Climatic data reconstruction of haze days and its temporal-spatial characteristics in Bengbu area from 1970 to 2015 [J]. Journal of Meteorology and Environment, 2018, 34(5): 39-46.
[6]	LIN Yi, LI Qian, ZHANG Kai, LI Lan, QI Xin, LIN Zhong-guan, LIN Song, ZHANG Yun-fu. Effects of meteorological conditions on highway traffic safety in Liaoning province [J]. Journal of Meteorology and Environment, 2018, 34(3): 106-111.
[7]	ZHANG Ying, JIA Xu-wei, YANG Xu, WANG Shi-gong, CHENG Yi-fan, YANG Liu, XIAO Dan-hua. Characteristics of air pollution and its relationship with meteorological parameters in typical representative cities of China [J]. Journal of Meteorology and Environment, 2017, 33(2): 70-79.
[8]	CHEN Xiang-xiang, HU Lei, PENG Wang-minzi, LIU Bo. Characteristics of meteorological parameters and main atmospheric pollutants of haze events in Nanchang from 1960 to 2014 [J]. Journal of Meteorology and Environment, 2016, 32(5): 114-121.
[9]	ZHU Yi-ming, ZHANG Jin-guang, YUAN Jian, ZHANG Xiu-yan, LI Yang, ZHANG Wei-quan, WAN Xu-jiang, LU Bing-hong. Correlation analysis of atmospheric visibility and meteorological parameters in Gaizhou of Liaoning province [J]. Journal of Meteorology and Environment, 2016, 32(4): 55-62.
[10]	NIU Jian-long, GE Guang-hua, WANG Jia-qiang, PENG Jie, WANG Yu-dong, HAO Lu. Pan evaporation characteristics and its influencing factor over Tarim irrigation area from 1961 to 2010 [J]. Journal of Meteorology and Environment, 2016, 32(3): 71-76.
[11]	LI Yu-hong, LI Ji,WANG Xiao-tao,LI Jing,HUANG Yan,ZHANG Xiao-yue, WANG Ying,LIU Jie. Data reconstruction of monthly soil relative humidity during spring sowing period in Liaoning province from 1981 to 2012 [J]. Journal of Meteorology and Environment, 2013, 29(5): 81-85.
[12]	SONG Ming,HAN Su-qin,ZHANG Min,YAO Qing,ZHU Bin. Relationship between visibility and relative humidity, PM₁₀, PM_2.5 in Tianjin [J]. Journal of Meteorology and Environment, 2013, 29(2): 34-41.
[13]	LIU Ai-xia,HAN Su-qin,YAO Qing,ZHANG Min,CAI Zi-ying. Characteristics of chemical composition of PM_2.5 and its effect on visibility in autumn and winter of 2011 in Tianjin [J]. Journal of Meteorology and Environment, 2013, 29(2): 42-47.