海南岛气溶胶时空变化及来源追溯

doi:10.12082/dqxxkx.2020.190360

Abstract

Abstract:

To serve as a basis for atmospheric environmental quality monitoring and pollution prevention & control in Hainan, which located in a specific geographical position with great strategic significance and national development potentiality, it is imperative to reveal the spatiotemporal dynamics patterns of aerosol over Hainan Island and clarify the sources of atmospheric pollutants. Hence, this study aims to investigate the spatiotemporal dynamics characteristics of the Aerosol Optical Depth (AOD) over Hainan Island by using the MODIS 3 km spatial resolution data (i.e., MOD04_3K product) from 2003 to 2017. Then, we calculated the 48-h backward trajectories at three above ground levels (10, 500, and 1000 m) of eight typical air pollution events in Haikou city, the capital and largest city of Hainan Province and the starting point to trace the sources of air pollutants in the region, by using the Hybrid Single Particle Lagrangian Integrated Trajectory(HYSPLIT) model. The results indicated that: (1) The average values of AODs during 2003-2017 over Hainan Island region exhibited a notable three-stage stepped-down spatial distribution from northwest to southeast, each of which displayed some distinctly spatial variations. (2) During the fifteen-year period, a slight increase tendency of the annual mean values of AODs was noted with their total mean value of 0.095 over Hainan Island, and the seasonal mean values of AODs were characterized with “spring > autumn > winter > summer”, the reasons for which could be derived from the common influences of regional weather systems and local winds, as well as the atmospheric pollutant emissions caused by tourism development. (3) In addition, during periods of typical atmospheric pollution events in Hainan Island (Haikou) from 2013 to 2017, the backward trajectories of air pollutants at three ground levels (10, 500, and 1000m) were primarily from the northeast direction of Hainan Island. Thus, the air pollutants originated from the mainland in the northeast direction such as the Pearl River Delta region were brought to Hainan Island along land tracks or coastal belts by the prevailing northeast winds; the plausible explanation of this could be that the atmospheric pollution events in Haikou occurred because of the joint effects of regional weather (e.g., continental cold high pressure) and local weather (e.g., sea-breeze convergence) systems. Perhaps, findings of this study could contribute to the understanding and assessing dynamic changes of the atmospheric environmental quality situation over decade in Hainan Island region and provide useful references for the establishment of joint prevention and control mechanism for air pollution.

Key words: Aerosol Optical Depth (AOD), PM_2.5, atmospheric environment, spatiotemporal dynamics, remote sensing, HYSPLIT model, Trace, Hainan Island

GAO Wangwang, FENG Jianzhong, BAI Linyan, YANG Jianhua, GUO Leifeng, LI Hualin, CUI Mengrui. Spatiotemporal Dynamics and Tracing of Aerosol over Hainan Island[J].Journal of Geo-information Science, 2020, 22(7): 1532-1543.DOI:10.12082/dqxxkx.2020.190360

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References 39

[1]	毛节泰, 张军华, 王美华. 中国大气气溶胶研究综述[J]. 气象学报, 2002,60(5):625-634. doi: 10.11676/qxxb2002.074
	[ Mao J T, Zhang J H, Wang M H. Summary comment research of atmospheric aerosol in China[J]. Acta Meteorologica Sinica, 2002,60(5):625-634. ]
[2]	符传博, 丹利, 唐家翔, 等. 近33年海南岛霾污染的气候特征及天气型分类[J]. 气候变化研究快报, 2018,7(5):371-380.
	[ Fu C B, Dan L, Tang J X, et al. Climatic characteristics and weather classification of haze days over Hainan Island in recent 33 years[J]. Climate Change Research Letters, 2018,7(5):371-380. ]
[3]	符传博, 唐家翔, 丹利, 等. 2013年冬季海口市一次气溶胶粒子污染事件特征及成因解析[J]. 环境科学学报, 2015,35(1):72-79.
	[ Fu C B, Tang J X, Dan L, et al. Characteristics of an aerosol particle pollution event and its possible reason in Haikou city in winter 2013[J]. Acta Scientiae Circumstantiae, 2015,35(1):72-79. ]
[4]	符传博, 唐家翔, 丹利, 等. 2014年海口市大气污染物演变特征及典型污染个例分析[J]. 环境科学学报, 2016,36(6):2160-2169.
	[ Fu C B, Tang J X, Dan L, et al. Evolution of ambient air quality and case study of an air pollution event in 2014 over Haikou, China[J]. Acta Scientiae Circumstantiae, 2016,36(6):2160-2169. ]
[5]	符传博, 陈有龙, 丹利, 等. 近10年海南岛大气NO₂的时空变化及污染物来源解析[J]. 环境科学, 2015,36(1):18-24.
	[ Fu C B, Cheng Y L, Dan L, et al. Temporal and spatial characteristics of atmospheric NO₂ over Hainan island and the pollutant sources[J]. Environmental Science, 2015,36(1):18-24. ]
[6]	符传博, 唐家翔, 丹利, 等. 基于卫星遥感的海南地区对流层NO₂长期变化及成因分析[J]. 环境科学学报, 2016,36(4):1402-1410.
	[ Fu C B, Tang J X, Dan L, et al. Satellite-based long term trends analysis in TroNO₂ over Hainan Island and its possible reason[J]. Acta Scientiae Circumstantiae, 2016,36(4):1402-1410. ]
[7]	唐晓兰, 程水源. 海南岛大气污染物扩散特征[J]. 环境工程, 2016,34(7):93-97.
	[ Tang X L, Cheng S Y. Diffusion characteristics of air pollutants in Hainan Island[J]. Environmental Engineering, 2016,34(7):93-97. ]
[8]	唐家翔, 符传博, 杨仁勇, 等. 海口市PM_2.5演变特征及其与气象因素的关系[J]. 环境污染与防治, 2018,40(4):445-449.
	[ Tang J X, Fu C B, Yang R Y, et al. Evolution of PM_2.5 in Haikou and its relationship with weather factors[J]. Environmental Pollution & Control, 2018,40(4):445-449. ]
[9]	曹军骥. PM2.5与环境[M]. 北京: 科学出版社, 2014.
	[ Cao J J, PM2.5 and the environment in China[M]. Beijing: Science press, 2014. ]
[10]	Donkelaar A V, Martin R V, Brauer M, et al. Global estimates of ambient fine particulate matter concentrations from satellite-based aerosol optical depth[J]. Environmental Health Perspectives, 2010,118(6):847-855. doi: 10.1289/ehp.0901623 pmid: 20519161
[11]	蒲强, 邹滨, 翟亮, 等. 集成多源遥感数据的PM_(2.5)浓度空间分布制图[J]. 地球信息科学学报, 2016,18(12):1717-1724. doi: 10.3724/SP.J.1047.2016.01717
	[ Pu Q, Zou B, Zhai L, et al. Mapping of PM_(2.5) fine particulates using multi-source remote sensing data[J]. Journal of Geo-Information Science, 2016,18(12):1717-1724. ]
[12]	李成才, 毛节泰, 刘启汉. 利用MODIS遥感大气气溶胶及气溶胶产品的应用[J]. 北京大学学报(自然科学版), 2003(S1):108-117.
	[ Li C C, Mao J T, Liu Q H. Remote sensing aerosol with MODIS and the application of MODIS aerosol products[J]. Acta Scicentiarum Naturalum Universitis Pekinesis, 2003(S1):108-117. ]
[13]	郑卓云, 陈良富, 郑君瑜, 等. 高分辨率气溶胶光学厚度在珠三角及香港地区区域颗粒物监测中的应用研究[J]. 环境科学学报, 2011,31(6):1154-1161.
	[ Zheng Z Y, Chen L F, Zheng J Y, et al. Application of retrieved high-resolution AOD in regional PM monitoring in the Pearl River Delta and Hong Kong region[J]. Acta Scientiae Circumstantiae, 2011,31(6):1154-1161. ]
[14]	罗宇翔, 陈娟, 郑小波. 近10年中国大陆MODIS遥感气溶胶光学厚度特征[J]. 生态环境学报, 2012,21(5):876-883.
	[ Luo Y J, Chen J, Zheng X B. Climatology of aerosol optical depth over China from recent 10 years of MODIS remote sensing data[J]. Ecology and Environmental Sciences, 2012,21(5):876-883. ]
[15]	海南省统计局. 2017年海南省国民经济和社会发展统计公报[EB/OL]. 2019-11-17. http://stats.hainan.gov.cn/tjj/tjgb/fzgb/n_991238/201801/t20180124_1628698.html/.
	[ Statistics Bureau of Hainan Province. 2017 statistical bulletin of national economic and social development of Hainan Province[EB/OL]. 2019-11-17. http://stats.hainan.gov.cn/tjj/tjgb/fzgb/n_991238/201801/t20180124_1628698.html/. ]
[16]	人民网. 海南省自然资源[EB/OL]. 2019-11-17. http://www.people.com.cn/GB/channel4/1001/20000626/118511.html/.
	[ People's daily. Hainan natural resources [EB/OL]. November 17, 2019. http://www.people.com.cn/GB/channel4/1001/20000626/118511.html/. ]
[17]	高素华. 海南岛气候[M]. 北京: 气象出版社, 1988.
	[ Gao S H. Climate of Hainan Island[M]. Beijing: China Meteorological Press, 1988. ]
[18]	张洪杰. 关于海南岛夏季风风向的研究[J]. 考试周刊, 2013,48:140-141.
	[ Zhang H J. A study on the wind direction of Hainan summer monsoon[J]. Examination Weekly, 2013,48:140-141. ]
[19]	MOD04_3K AOD Data[EB/OL]. 2019-11-17. https://ladsweb.modaps.eosdis.nasa.gov/.
[20]	Remer L A, Mattoo S, Levy R C, et al. MODIS 3km aerosol product: algorithm and global perspective[J]. Atmospheric Measurement Techniques, 2013,6(7):1829-1844. doi: 10.5194/amt-6-1829-2013
[21]	MCD12Q1 LUCC Data[EB/OL]. https://search.earthdata.nasa.gov/.
[22]	SRTM Data[EB/OL]. 2019-11-17. http://srtm.csi.cgiar.org/.
[23]	空气质量监测数据[EB/OL]. 2019-11-17. https://www.aqistudy.cn/.
	[ Air quality monitoring data [EB/OL]. November 17, 2019. https://www.aqistudy.cn/. ]
[24]	海南旅游过夜游客人次[EB/OL]. 2019-11-17. http://www.visithainan.gov.cn/lvyoutongji/.
	[ Number of overnight tourists in Hainan [EB/OL]. November 17, 2019. http://www.visithainan.gov.cn/lvyoutongji/. ]
[25]	张静怡, 卢晓宁, 洪佳, 等. 2000—2014年四川省气溶胶时空格局及其驱动因子定量研究[J]. 自然资源学报, 2016,31(9):1514-1525.
	[ Zhang J Y, Lu X N, Hong J, et al. Quantitative study on temporal and spatial patterns of aerosol optical depth and its driving forces in Sichuan province during 2000-2014[J]. Journal of Natural Resources, 2016,31(9):1514-1525. ]
[26]	Stein A F, Draxler R R, Rolph G D, et al. NOAA's HYSPLIT atmospheric transport and dispersion modeling system[J]. Bulletin of the American Meteorological Society, 2016,96(12):2059-2078. doi: 10.1175/BAMS-D-14-00110.1
[27]	葛跃, 王明新, 白雪, 等. 苏锡常地区PM_2.5污染特征及其潜在源区分析[J]. 环境科学学报, 2017,37(3):803-813.
	[ Ge Y, Wang M X, Bai X, et al. Pollution characteristics and potential sources of PM_2.5 in Su-Xi-Chang region[J]. Acta Scientiae Circumstantiae, 2017,37(3):803-813. ]
[28]	陈媛, 岑况, S.Norra, 等. 北京市区大气气溶胶PM_2.5污染特征及颗粒物溯源与追踪分析[J]. 现代地质, 2010,24(2):345-354.
	[ Chen Y, Cen K, S. Norra , et al. Study on pollution characteristics of PM_2.5 in the aerosol, tracing and tracking atmospheric particulates in Beijing city[J]. Geoscience, 2010,24(2):345-354. ]
[29]	HYSPLIT Model and GDAS Data[EB/OL].2019-11-17. Available online: https://ready.arl.noaa.gov/.
[30]	唐晓兰. 基于热带海岛污染气象特征的工业优化布局研究[D]. 北京:北京工业大学, 2016.
	[ Tang X L. Research about optimization of industrial layout based on pollution meteorology in tropical island[D]. Beijing: Beijing University of Technology, 2016. ]
[31]	海南省大气污染防治实施方案(2016-2018年)[EB/OL]. 2019-11-17. http://www.hainan.gov.cn/hainan/szfwj/201603/a100d2d053ed4e898fc3d600e8a46ef6.shtml/ (accessed on 9 December 2019.
	[ Implementation plan of air pollution control in Hainan Province (2016-2018) [EB/OL]. November 17, 2019. http://www.hainan.gov.cn/hainan/szfwj/201603/a100d2d053ed4e898fc3d600e8a46ef6.shtml/ (accessed on 9 December 2019. ]
[32]	周彬, 刘端阳, 魏建苏, 等. 降水对气溶胶颗粒物清除作用的初步分析[J]. 长江流域资源与环境, 2015,24(S1):160-170.
	[ Zhou B, Liu R Y, Wei J F, et al. A preliminary analysis on scavenging effect of precipitation on aerosol particles[J]. Resources and Environment in the Yangtze Basin, 2015,24(S1):160-170. ]
[33]	刘强, 毕华, 张洪溢. 海南发展旅游业对生态环境的影响及对策[J]. 海南师范学院学报(自然科学版), 2005(1):76-80.
	[ Liu Q, Bi H, Zhang H Y. Impacts of tourism development in Hainan on the ecological environment and some countermeasures[J]. Journal of Hainan Normal University (Natural Science), 2005(1):76-80. ]
[34]	曹威威, 孙才志. 能值生态足迹模型的改进——以海南为例[J]. 生态学报, 2019,39(1):216-227. doi: 10.5846/stxb201801100070
	[ Cao W W, Sun C Z. Improvement of the emergy ecological footprint model: A case study of Hainan Province[J]. Acta Ecologica Sinica, 2019,39(1):216-227. ]
[35]	环境空气质量指数(AQI)技术规定(试行)[J]. 中国环境管理干部学院学报, 2012,22(1):44.
	[ Environmental air quality index (AQI) technical provisions(for trial implementation)[J]. Journal of Environmental Management College of China, 2012,22(1):44. ]
[36]	沈劲, 钟流举, 叶斯琪, 等. 珠三角干湿季大气污染特性[J]. 中国科技论文, 2015,10(15):1748-1751.
	[ Shen J, Zhong L J, Ye S Q, et al. Air pollution characteristics in dry and wet seasons in the pearl river delta[J]. China Science paper, 2015,10(15):1748-1751. ]
[37]	Chan C K, Yao X. Air pollution in mega cities in China[J]. Atmospheric Environment, 2008,42(1):1-42. doi: 10.1016/j.atmosenv.2007.09.003
[38]	吴蒙, 吴兑, 范绍佳, 等. 珠江三角洲城市群大气污染与边界层特征研究进展[J]. 气象科技进展, 2014(1):24-30.
	[ Wu M, Wu D, Fan S J, et al. Research progress in the study of air pollution and atmospheric boundary layer over the pearl river delta city cluster[J]. Advances in Meteorological Science and Technology, 2014(1):24-30. ]
[39]	赵小锋, 刘嘉慧, 赵颜创, 等. 城市气溶胶光学厚度空间格局特征多指标综合分析[J]. 地球信息科学学报, 2018,20(3):360-367. doi: 10.12082/dqxxkx.2018.170588
	[ Zhao X F, Liu J H, Zhao Y C, et al. Multi-index analysis of spatial patterns of urban aerosol optical depth[J]. Journal of Geo-information Science, 2018,20(3):360-367. ]

	2013-12-10	2013-12-28	2014-01-01	2015-02-12	2016-02-08	2016-03-27	2017-04-29	2017-10-26
	冬季	冬季	冬季	冬季	冬季	春季	春季	秋季
持续天数	3	3	3	1	1	2	1	9
AQI	173	159	150	147	160	110	102	150
PM_2.5/(μg/m³)	131	121	115	113	122	38	25	61

城市	时间
城市	2013-12-07	2013-12-08	2013-12-09	2013-12-10	2013-12-11	2013-12-12	2013-12-13
广州	132^#	139^#	173^##	190^##	151^##	139^#	177^##
佛山	183^##	209^###	214^###	204^###	175^##	169^##	198^##
肇庆	149^#	150^#	196^##	213^###	211^###	153^##	182^##
深圳	128^#	117^#	126^#	173^##	147^#	143^#	165^##
东莞	153^##	161^##	153^##	180^##	157^##	157^##	185^##
惠州	124^#	127^#	128^#	153^##	143^#	145^#	162^##
珠海	137^#	130^#	132^#	186^##	175^##	145^#	168^##
中山	145^#	153^##	159^##	178^##	163^##	129^#	166^##
江门	170^##	185^##	183^##	204^###	170^##	151^##	170^##

Spatiotemporal Dynamics and Tracing of Aerosol over Hainan Island

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