四川盆地臭氧浓度空间分异及驱动因子研究

Abstract
Figure/Table
References (36)
Related Citation (15)

Download: PDF (1669 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract

In order to reveal the spatial distribution of ozone (O₃) and its driving factors in Sichuan Basin, the geostatistical methods such as spatial auto-correlation, spatial hot spot detection and geographic detector were used to analyze O₃ concentration data collected form 82 national control environmental monitoring sites in 18 cities. The results showed that there was an overall upward trend (from (79.95±18.82)μg/m³ in 2015 to (88.64±11.67)μg/m³ in 2017) of O₃ concentration in Sichuan Basin. The O₃ concentration reached highest in the midwest of the basin, including Chengdu, Ziyang, Yaan. And the heavy polluted area expanded as the years progressed.A significant annual clustering pattern (spatial positive auto-correlation, Moran's I was greater than 0) of the distribution of O₃ concentration was showed in Sichuan Basin, in which the H-H clustering areas in the Midwest and the L-L clustering areas in the Southeast of the basin. Besides, the variation of the annual clustering areas were nearly accordant with the variation of O₃ concentration, that is, where the O₃ concentration raised (decreased) were transformed into H-H (L-L) clustering areas. The driving force of 20 socio-economic and natural factors to the spatial variation of O₃ concentration was quantitatively analyzed by using geographic detector. It was found that the socio-economic factors provided a stronger drive force, especially the proportion of urban construction land (driving value, q=0.5734) and the population density (q=0.5479). In addition, the annual precipitation (q=0.4592) also had a significant effect on the distribution of O₃ concentration. The detection of interaction based on geographic detector showed that there was a significant interactions on the spatial variation of O₃ concentration, which made the q value of each factor increased by 1.5~2.1times on average. In addition, the average and maximum values of interactive q of each factor both increased year by year. Among the interaction factors that maximized the q value, the population density (7times) and the industrial dust emission (7times) were highest frequency.

Key words： ozone Sichuan Basin space auto-correlation spatial hot spot detection geographic detector

Received: 19 November 2019

PACS:

X511

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	WANG Ke-ke
	KANG Ping
	ZHOU Ming-wei
	ZHANG Xiao-ling
	CHEN Jun-hui
	XIANG Wei-guo

Cite this article:

WANG Ke-ke,KANG Ping,ZHOU Ming-wei等. Spatial differentiation and driving factors of ozone concentration in Sichuan Basin[J]. CHINA ENVIRONMENTAL SCIENCECE, 2020, 40(6): 2361-2370.

URL:

http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2020/V40/I6/2361

[1]	张小曳,孙俊英,王亚强,等.我国雾-霾成因及其治理的思考[J].科学通报, 2013,58(13):1178-1187. Zhang X Y, Sun J Y, Wang Y Q, et al.Factors contributing to haze and fog in China (in Chinese) [J].Chinese Sci.Bull., 2013,58(13):1178-1187.
[2]	李名升,任晓霞,于洋,等.中国大陆城市PM2.5污染时空分布规律[J].中国环境科学, 2016,36(3):641-650. Li M S, Ren X X, Yu Y, et al.Spatiotemporal pattern of ground-level fine particulate matter PM2.5 pollution in mainland China [J].China Environmental Science, 2016,36(3):641-650.
[3]	程麟钧,王帅,宫正宇,等.中国臭氧浓度的时空变化特征及分区[J].中国环境科学, 2017,37(11):4003-4012. Cheng L J, Wang S, Gong Z Y, et al.Spatial and seasonal variation and regionalization of ozone concentrations in China [J].China Environmental Science, 2017,37(11):4003-4012.
[4]	Li K, Jacob D J, Liao H, et al.Anthropogenic drivers of 2013~2017 trends in summer surface ozone in China.[J].Proceedings of the National Academy of Sciences of the United States of America, 2019,116(2):422-427.
[5]	Wang T, Xue L K, Brimblecombe P, et al.Ozone pollution in China: A review of concentrations, meteorological influences, chemical precursors, and effects [J].Science of the Total Environment, 2017, 575:1582-1596.
[6]	Jin, X M, Holloway, Tracey.Spatial and temporal variability of ozone sensitivity over China observed from the ozone monitoring instrument [J].Journal of Geophysical Research [J].Atmospheres, 2015,120(14): 7229-7246.
[7]	黄小刚,邵天杰,赵景波,等.长三角城市群臭氧浓度的时空分异及驱动因素[J].长江流域资源与环境, 2019,28(6):1434-1445. Huang X G, Cao J J, Zhao J B, et al.Spatiotemporal differentiation of ozone concentration and its driving factors in Yangtze River Delta urban agglomeration [J].Resources and Environment in the Yangtze Basin, 2019,28(6):1434-1445.
[8]	Fu Y, Liao H, Yang Y.Interannual and decadal changes in tropospheric ozone in China and the associated chemistry-climate interactions: A review [J].Advances in Atmospheric Sciences, 2019,36(9):975-993.
[9]	姜蕴聪,杨元建,王泓,等.2015~2018年中国代表性城市PM2.5浓度的城乡差异[J].中国环境科学, 2019,39(11):4552-4560. Jiang Y C, Yang Y J, Wang H, et al.Urban-rural differences in PM2.5 concentrations in the representative cities of China during 2015~2018[J].China Environmental Science, 2019,39(11):4552-4560.
[10]	李珊珊,程念亮,徐峻,等.2014年京津冀地区PM2.5浓度时空分布及来源模拟[J].中国环境科学, 2015,35(10):2908-2916. Li S S, Cheng N L, Xu J, et al.Spatial and temporal distrubions and source simulation of PM2.5 in Beijing-Tianjin-Hebei region in 2014.China Environment Science, 2017,30(5):678-687.
[11]	曹庭伟,吴锴,康平,等.成渝城市群臭氧污染特征及影响因素分析[J].环境科学学报, 2018,38(4):1275-1284. CaoT W, Wu K, Kang P, et al.Study on ozone pollution characteristics and meteorological cause of Chengdu Chongqing urban agglomeration [J].China Environmental Science, 2018,38(4):1275-1284.
[12]	GB 3095—2012环境空气质量标准[S]. GB 3095—2012 Environmental air quality standard [S].
[13]	HJ633—2012环境空气质量指数(AQI)技术规定[S]. HJ633—2012 Technical specification of ambient air quality assessment (Trial) [S].
[14]	国家统计局城市社会经济调查总队.中国城市统计年鉴[M].北京:中国统计出版社, 2015. National bureau of statistics urban socio-economic survey team.China City Statistical Yearbook [M].Beijing: China Statistics Press, 2015.
[15]	国家统计局城市社会经济调查总队.中国城市统计年鉴[M].北京:中国统计出版社, 2016. National bureau of statistics urban socio-economic survey team.China City Statistical Yearbook [M].Beijing: China Statistics Press, 2016.
[16]	国家统计局城市社会经济调查总队.中国城市统计年鉴[M].北京:中国统计出版社, 2017. National bureau of statistics urban socio-economic survey team.China City Statistical Yearbook [M].Beijing: China Statistics Press, 2017.
[17]	王华,郭阳洁,洪松,等.区域气溶胶光学厚度空间格局特征研究[J].武汉大学学报(信息科学版), 2013,38(7):869-874. Wang H, Guo Y J, Hong S, et al.Spatial pattern characteristics of aerosol optical depth in a region based on spatial autocorrelation [J].Geomatics and Information Science of Wuhan University, 2013,38(7): 869-874.
[18]	Anselin L.Local Indicators of Spatial Association—LISA [J].Geographical Analysis, 1995,27(2):93-115.
[19]	周磊,武建军,贾瑞静,等.京津冀PM2.5时空分布特征及其污染风险因素[J].环境科学研究, 2016,29(4):483-493. Zhou L, Wu J J, Jian R J, et al.Investigation of temporal-spatial characteristics and underlying risk of PM2.5 pollution in Bejing-Tianjin-Hebei Area [J].Research of Environmental Sciences, 2016, 29(4):483-493.
[20]	王劲峰,徐成东.地理探测器:原理与展望[J].地理学报, 2017, 72(1):116-134. Wang J F, Xu C D.Geodetector: Principle and prospective [J].Acta Geographica Sinica, 2017,72(1):116-134
[21]	顾莹.上海城市化对臭氧污染影响的数值模拟[D].上海:华东师范大学, 2010. Gu Y.Numerical Simulation of the Impact of Urbanization on Ozone in Shanghai [D].Shanghai: East China Normal University, 2010.
[22]	Hartman R, KwonO-S.Sustainable Growth and the Environment Kuznets Curve [J].Journal of Economic Dynamics and Control, 2005, 29(10):1701-1736
[23]	王杨君,李莉,冯加良,等.基于OSAT方法对上海2010年夏季臭氧源解析的数值模拟研究[J].环境科学学报, 2014,34(3):567-573. Wang Y J, Li L, Feng J L, et al.Source apportionment of ozone in the summer of 2010 in Shanghai using OSAT method [J].Acta Scientiae Circumstantiae, 2014,34(3):567-573.
[24]	陈天增,葛艳丽,刘永春,等.我国机动车排放VOCs及其大气环境影响[J].环境科学, 2018,39(2):478-492. Cheng T Z, Ge Y L, Liu Y C, et al.VOCs Emission from motor vehicles in China and its impact on the atmospheric environment [J].Environmental Science, 2018,39(2):478-492.
[25]	Zhang Y L, Yang W Q, Simpson I, et al.Decadal changes in emissions of volatile organic compounds (VOCs) from on-road vehicles with intensified automobile pollution control: Case study in a busy urban tunnel in south China [J].Environmental Pollution, 2018,233:806-819.
[26]	张可,汪东芳.经济集聚与环境污染的交互影响及空间溢出[J].中国工业经济, 2014,(6):70-82. Zhang K, Wang D F.The interaction and spatial spillover between agglomeration and pollution [J].China Industrial Economics, 2014, (6):70-82.
[27]	王敏,黄滢.中国的环境污染与经济增长[J].经济学季刊, 2015, 14(2):557-578. Wang M, Huang Y.China’s environmental pollution and economic grow [J].China Economic Quarterly, 2015,14(2):557-578.
[28]	黄桂平,曾吉明,王敏,等.工业在全省经济社会发展中的支撑带动作用分析[J].四川冶金, 2018,40(3):1-5+8. Huang G P, Zeng J M, Wang M, et al.Analysis on the supporting and driving role of industry in the province's economic and social development [J].Sichuan Metallugy, 2018,40(3):1-5+8.
[29]	商诗雨.四川省产业结构优化调整对策研究[J].中国集体经济, 2015,(12):29-30. Shang S Y.Study on the countermeasures of industrial structure optimization and adjustment in sichuan province [J].China Collective Economy China Collective Economy China Collective, 2015,(12):29-30.
[30]	杜勤博,吴晓燕,郑素帆,等.气象因素对汕头市大气O3污染的影响[J].气象与环境科学, 2019,42(4):83-89. Du Q B, Wu X Y, Zheng S F, et al.Effects of meteorological factors on atmospheric O3 pollution in Shantou [J].Meteorological and Environmental Sciences, 2019,42(4):83-89.
[31]	赵伟,高博,刘明,等.气象因素对香港地区臭氧污染的影响[J].环境科学, 2019,40(1):55-66. Zhao W, Gao B, Liu M, et al.Impact of meteorological factors on the ozone pollution in Hongkong [J].Environmental Science, 2019, 40(1):55-66.
[32]	梁碧玲,张丽,赖鑫,等.深圳市臭氧污染特征及其与气象条件的关系[J].气象与环境学报, 2017,33(1):66-71. Liang B L, Zhang L, Lai X, et al.Analysis of the characteristics of ozone pollution and its relationship with meteorological conditions in Shenzhen [J].Journal of Meteorology and Environment, 2017,33(1): 66-71.
[33]	蒋维楣,蔡晨霞,李昕.城市低层大气臭氧生成的模拟研究[J].气象科学, 2001,21(2):154-161. Jiang W M, Cai C X, Li X.Simulation of the forming if ozoneinthe low layer air of urban area [J].Scientia Meteorologica Sinca, 2001, 21(2):154-161.
[34]	王艺,朱彬,刘煜,等.中国地区近10年地表反照率变化趋势[J].气象科技, 2011,39(2):147-155. Wang Y, Zhu B, Liu Y, et al.Trend of surface Albedo changes in China in last decade [J].Meteorological Science and Technology, 2011,39(2):147-155.
[35]	吴兑.到达地面的紫外辐射强度预报[J].气象, 2000,26(12): 38-42. Wu D.Forecast of surface ultraviolet radiation [J].Meteorological Monthly, 2000,26(12):38-42.
[36]	唐孝炎,张远航,邵敏.大气环境化学(第二版) [M].北京:高等教育出版社, 2006. Tang X Y, Zhang Y H, Shao M.Atmosphere environmental chemistry (Second Edition) [M].Beijing: Higher Education Press, 2006.