“21世纪海上丝绸之路”沿线典型城市气溶胶光学厚度时空分布特征与成因

doi:10.13287/j.1001-9332.202107.017

应用生态学报 ›› 2021, Vol. 32 ›› Issue (7): 2565-2577.doi: 10.13287/j.1001-9332.202107.017

“21世纪海上丝绸之路”沿线典型城市气溶胶光学厚度时空分布特征与成因

李紫微^1,2, 白林燕², 冯建中^3*, 刘帅⁴, 段晨阳², 张宇杰²

¹西安科技大学测绘科学与技术学院, 西安 710054;
²中国科学院空天信息创新研究院数字地球重点实验室, 北京 100094;
³中国农业科学院农业信息研究所, 北京 100081;
⁴中国矿业大学(北京)地球科学与测绘工程学院, 北京 100083

收稿日期:2020-11-18 修回日期:2021-04-12 出版日期:2021-07-15 发布日期:2022-01-15
通讯作者: *fengjianzhong@caas.cn
作者简介:李紫微,女,1995年生,硕士研究生。主要从事大气气溶胶遥感研究。E-mail:liiiziwei@163.com
基金资助:
中国科学院战略性A类型先导专项(XDA19030302)、国家重点研发计划项目(2018YFC0213600)和新疆生产建设兵团重点领域科技攻关计划项目(2019AB036)

Characteristics of aerosol optical depth dynamics and their causes over typical cities along the 21st Century Maritime Silk Road

LI Zi-wei^1,2, BAI Lin-yan², FENG Jian-zhong^3*, LIU Shuai⁴, DUAN Chen-yang², ZHANG Yu-jie²

¹College of Geomatics, Xi'an University of Science and Technology, Xi'an 710054, China;
²Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China;
³Agricultural Information Institute, Chinese Academy of Agricultural Sciences, Beijing 100081, China;
⁴College of Geoscience and Surveying Engineering, China University of Mining & Technology (Beijing), Beijing 100083, China

Received:2020-11-18 Revised:2021-04-12 Online:2021-07-15 Published:2022-01-15
Contact: *fengjianzhong@caas.cn
Supported by:
Chinese Academy of Sciences Strategic Type A Pilot Project (XDA 19030302),theNational Key Research and Development Program of China (2018YFC0213600),and the China's Xinjiang Production and Construction Corps(XPCC) Key Science and Technology Project (2019AB036).

摘要/Abstract

摘要： 气溶胶作为悬浮分散在大气中的固态或液态微小颗粒物,对人体健康具有巨大影响,探索区域大气气溶胶变化特征和规律,对监测评估大气环境质量(尤其是人口聚集的城市地区)具有重要意义。本研究以东南亚、南亚和西亚“21世纪海上丝绸之路”沿线9个典型支点城市为例,基于MCD19A2 550 nm AOD产品,结合气象因素、土地利用数据和夜间灯光数据等,探讨亚洲发达城市区域带气溶胶的时空分布、变化特征、影响因素和成因驱动。结果表明: 2013—2018年间,9个城市气溶胶光学厚度(AOD)年平均值从高到低依次为卡拉奇、多哈、吉大港、曼谷、科伦坡、胡志明市、新加坡、瓜达尔和仰光。受区域气候系统和气溶胶类型的影响,各地区年、季和月AOD时序特征差异显著。大多数城市AOD高值区主要分布在城市中心区域或社会经济(如工农业)快速发展的地区。不同气象因素对各地区AOD的影响略有差异:降雨量、相对湿度和风速对东南亚4个城市(胡志明市、曼谷、新加坡和仰光)的影响较大,温度、相对湿度和风速与南亚4个城市(吉大港、科伦坡、卡拉奇和瓜达尔)和西亚多哈的AOD相关性较大。城市区域AOD受社会经济、城市化发展以及气象因素耦合协同作用的综合影响,其中,卡拉奇表现得最显著。

关键词: MODIS, 城市区域, 气溶胶光学厚度, 时空变化

Abstract: Atmospheric aerosols, i.e., suspension of liquid and/or solid particles in air, have serious impacts on human health. Exploring the variation and patterns of regional atmospheric aerosols is of great significance to monitor and evaluate atmosphere quality, especially in urban areas with large population. Here, with nine typical pivotal cities along the 21st Century Maritime Silk Road through Southeast Asia, South Asia to West Asia as case studies, based on MCD19A2 550 nm AOD products, combined meteorological factors, land use data, and nighttime light data, we analyzed the spatio-temporal distribution, variation features, influencing and/or driving factors of aerosols in developed urban areas over Asia. The results showed that the descending sequence of the annual aerosol optical depth (AOD) of the nine cities was Karachi, Doha, Chittagong, Bangkok, Colombo, Ho Chi Minh, Singapore, Gwadar, and Yangon during 2013-2018. Due to the influence of regional climate system and atmospheric aerosol types, the time series of annual, seasonal, and monthly AODs were significantly different. The high values of AODs in most cities were mainly located in the urban center or rapid socio-economic (e.g., industrial and agricultural) development regions. The effects of different meteorological factors on the AODs varied in different cities. The rainfall, relative humidity, and wind speed had great impacts on AODs in Ho Chi Minh, Bangkok, Singapore, and Yangon. Temperature, relative humidity, and wind speed had close correlations with AODs in Chittagong, Colombo, Karachi, and Gwadar of South Asia and Doha in West Asia. The urban area's AOD was influenced by the combined and synergistic effects of socio-economy, urbanization, and meteorological factors, with that in Karachi being the most significant.

Key words: MODIS, urban area, aerosol optical depth, spatio-temporal variation

李紫微, 白林燕, 冯建中, 刘帅, 段晨阳, 张宇杰. “21世纪海上丝绸之路”沿线典型城市气溶胶光学厚度时空分布特征与成因[J]. 应用生态学报, 2021, 32(7): 2565-2577.

LI Zi-wei, BAI Lin-yan, FENG Jian-zhong, LIU Shuai, DUAN Chen-yang, ZHANG Yu-jie. Characteristics of aerosol optical depth dynamics and their causes over typical cities along the 21st Century Maritime Silk Road[J]. Chinese Journal of Applied Ecology, 2021, 32(7): 2565-2577.

参考文献

[1] 李兴苏. 成渝城市群绿色发展满意度评价及实施路径研究. 博士论文. 重庆: 重庆大学, 2017 [Li X-S. Research on the Satisfaction Evaluation of Green Deve-lopment and the Implementation Path of Cheng Yu Agglomeration. PhD Thesis. Chongqing: Chongqing University, 2017]
[2] Suzuki H, Dastur A, Moffatt S, et al. Eco2 Cities: Ecological Cities as Economic Cities. Washington: The World Bank, 2010
[3] WHO. World Health Statistics 2018: Monitoring Health for the SDGs. Geneva: WHO, 2018
[4] Schwela D, Haq G, Huizenga C, et al. Urban Air Pollution in Asian Cities: Status, Challenges and Management. London: Routledge, 2006
[5] Lelieveld J, Evans JS, Fnais M, et al. The contribution of outdoor air pollution sources to premature mortality on a global scale. Nature, 2015, 525: 367-371
[6] 殷瑞瑞, 赵炳新, 于振磊. “21世纪海上丝绸之路”东亚国家间产业网络及其关联效应研究. 经济问题探索, 2016(6): 119-126 [Yin R-R, Zhao B-X, Yu Z-L. A study on the industrial network and its related effects among East Asian countries along the ‘21st Century Maritime Silk Road'. Inquiry Into Economic Issues, 2016(6): 119-126]
[7] 毛节泰, 张军华, 王美华. 中国大气气溶胶研究综述. 气象学报, 2002, 60(5): 625-634 [Mao J-T, Zhang J-H, Wang M-H. Summary comment on research of atmospheric aerosol in China. Acta Meteorologica Sinica, 2002, 60(5): 625-634]
[8] 高旺旺, 冯建中, 白林燕, 等. 海南岛气溶胶时空变化及来源追溯. 地球信息科学学报, 2020, 22(7): 1532-1543 [Gao W-W, Feng J-Z, Bai L-Y, et al. Spatiotemporal dynamics and tracing of aerosol over Hainan Island. Journal of Geo-Information Science, 2020, 22(7): 1532-1543]
[9] 田蓉, 马晓燕, 贾海灵. 中国东部和西部地区MODIS Level-3气溶胶光学厚度检验及其变化趋势. 中国科技论文, 2018, 13(15): 1690-1700 [Tian R, Ma X-Y, Jia H-L. Validation and trends of MODIS Level-3 aerosol optical depth over east and west China. China Sciencepaper, 2018, 13(15): 1690-1700]
[10] Holben BN, Nakajima T, Lavenu I, et al. AERONET-A federated instrument network and data archive for aerosol characterization. Remote Sensing of Environment, 1998, 66: 1-16
[11] 延昊, 矫梅燕, 毕宝贵, 等. 国内外气溶胶观测网络发展进展及相关科学计划. 气象科学, 2006, 26(1):110-117 [Yan H, Jiao M-Y, Bi B-G, et al. Advances in aerosol observation network and corresponding science plan. Scientia Meteorological Sinica, 2006, 26(1): 110-117]
[12] Donkelaar AV, Martin RV, Brauer M, et al. Global estimates of ambient fine particulate matter concentrations from satellite-based aerosol optical depth: Development and application. Environmental Health Perspectives, 2010, 118: 847-855
[13] Kang N, Kumar KR, Hu K, et al. Long-term (2002-2014) evolution and trend in Collection 5.1 Level-2 aerosol products derived from the MODIS and MISR sensors over the Chinese Yangtze River Delta. Atmospheric Research, 2016, 181: 29-43
[14] Chin M, Diehl T, Tan Q, et al. Multi-decadal aerosol variations from 1980 to 2009: A perspective from observations and a global model. Atmospheric Chemistry and Physics, 2014, 14: 3657-3690
[15] Feng N, Christopher SA. Satellite and surface-based remote sensing of Southeast Asian aerosols and their radiative effects. Atmospheric Research, 2013, 122: 544-554
[16] 雷茜. “一带一路”区域大气气溶胶时空动态特征及环境效应研究. 硕士论文. 重庆: 西南大学, 2019 [Lei Q. The Spatial and Temporal Characteristics of Atmospheric Aerosol and Its Environmental Effects over the Belt and Road. Master Thesis. Chongqing: Southwest University, 2019]
[17] 王勇辉. “21世纪海上丝绸之路”东南亚战略支点国家的构建. 世界经济与政治论坛, 2016(3): 62-73 [Wang Y-H. The construction of strategic fulcrum countries in Southeast Asian of the ‘21st Century Maritime Silk Road'. Forum of World Economy & Politics, 2016(3): 62-73]
[18] 朱源, 姜华, 李天威, 等. 实施“一带一路”战略要充分考量环境因素. 中国环境报, 2015-11-17 [Zhu Y, Jiang H, Li T-W, at el. Implementing the ‘The Belt and Road' strategy must take full consideration of environmental factors. China Environment News, 2015-11-17]
[19] Xia XA, Chen B, Wang PC. Validation of MODIS aerosol retrievals and evaluation of potential cloud contamination in East Asia. Journal of Environmental Sciences, 2004, 16: 832-837
[20] 千家乐, 刘朝顺. 胡焕庸线两侧气溶胶光学厚度时空分布特征及其与土地利用响应的研究. 环境科学学报, 2018, 38(2): 752-760 [Qian J-L, Liu C-S. Distributions and changes of aerosol optical depth on both sides of HU Huanyong Line and the response to land use and land cover. Acta Scientiae Circumstantiae, 2018, 38(2): 752-760]
[21] 孙海波. 气溶胶光学特性与后向散射消光对数比的相关性研究. 硕士论文. 南京: 南京信息工程大学, 2017 [Sun H-B. Research on the Correlation between Aerosol Optical Properties and Logarithmic Ratio of Aerosol Backscatter-to-Extinction. Master Thesis. Nanjing: Nanjing University of Information Technology, 2017]
[22] 魏继德. 空间插值方法的比较与优化. 硕士论文. 福州: 福州大学, 2010 [Wei J-D. The Comparison and Optimization of Spatial Interpolation Methods. Master Thesis. Fuzhou: Fuzhou University, 2010]
[23] 景悦, 孙艳玲, 付宏臣, 等. 2010—2016年京津冀AOD时空变化及其影响因子分析. 环境科学与技术, 2018, 41(8): 104-113 [Jing Y, Sun Y-L, Fu H-C, et al. Temporal and spatial variation of aerosol optical depth and analysis of influencing factors in Beijing-Tianjin-Hebei region from 2010 to 2016. Environmental Science & Technology, 2018, 41(8): 104-113]
[24] 张应华, 宋献方. 水文气象序列趋势分析与变异诊断的方法及其对比. 干旱区地理, 2015, 38(4): 652-665 [Zhang Y-H, Song X-F. Techniques of abrupt change detection and trends analysis in hydroclimatic time-series: Advances and evaluation. Arid Land Geo-graphy, 2015, 38(4): 652-665]
[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. 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. Journal of Natural Resources, 2016, 31(9): 1514-1525]
[26] Remer LA, Kaufman YJ, Tanré D, et al. The MODIS aerosol algorithm, products, and validation. Journal of the Atmospheric Sciences, 2005, 62: 947-973
[27] Klingmueller K, Pozzer A, Metzger S, et al. Aerosol optical depth trend over the Middle East. Atmospheric Chemistry and Physics, 2016, 16: 5063-5073
[28] 何帆, 朱鹤, 张骞. 21世纪海上丝绸之路建设: 现状、机遇、问题与应对. 国际经济评论, 2017(5): 116-133 [He F, Zhu H, Zhang Q. The 21st Century Maritime Silk Road: Current situation, opportunities, challenges and solutions. International Economic Review, 2017(5): 116-133]
[29] Che HZ, Gui K, Xia XG, et al. Large contribution of meteorological factors to inter-decadal changes in regio-nal aerosol optical depth. Atmospheric Chemistry and Physics, 2019, 19: 10497-10523
[30] Ying IT, Sopajaree K, Chotruksa A, et al. Source indicators of biomass burning associated with inorganic salts and carboxylates in dry season ambient aerosol in Chiang Mai Basin, Thailand. Atmospheric Environment, 2013, 78: 93-104
[31] Phairuang W, Hata M, Furuuchi M. Influence of agricultural activities, forest fires and agro-industries on air quality in Thailand. Journal of Environmental Sciences, 2017, 52: 85-97
[32] Sheldon TL, Sankaran C. The impact of indonesian forest fires on Singaporean pollution and health. The American Economic Review, 2017, 107: 526-529
[33] Othman J, Sahani M, Mahmud M, et al. Transboundary smoke haze pollution in Malaysia: Inpatient health impacts and economic valuation. Environmental Pollution, 2014, 189: 194-201
[34] Minguillon MC, Brines M, Perez N, et al. New particle formation at ground level and in the vertical column over the Barcelona area. Atmospheric Research, 2015, 164-165: 118-130
[35] Lasko K, Vadrevu K, Tran V, et al. Satellites may underestimate rice residue and associated burning emissions in Vietnam. Environmental Research Letters, 2017, 12: 085006
[36] Sricharoenvech P, Lai A, Oo TN, et al. Source apportionment of coarse particulate matter (PM₁₀) in Yangon, Myanmar. International Journal of Environmental Research and Public Health, 2020, 17: 4145
[37] Nguyen T, Pham HV, Lasko K, et al. Spatiotemporal analysis of ground and satellite-based aerosol for air quality assessment in the Southeast Asia region. Environmental Pollution, 2019, 255: 113106
[38] Crippa P, Castruccio S, Archer-nicholls S, et al. Population exposure to hazardous air quality due to the 2015 fires in Equatorial Asia. Scientific Reports, 2016, 6: 37074
[39] 黎鑫, 张韧, 卢扬, 等. “海上丝绸之路”自然环境风险分析. 海洋通报, 2016, 35(6): 609-616 [Li X, Zhang R, Lu Y, et al. Risk analysis for the natural environment of ‘Maritime Silk Road'. Marine Science Bulletin, 2016, 35(6): 609-616]
[40] Hamidi M, Kavianpour MR, Shao Y. Synoptic analysis of dust storms in the Middle East. Asia-pacific Journal of Atmospheric Sciences, 2013, 49: 279-286
[41] 韩道文, 刘文清, 张玉钧, 等. 温度和相对湿度对气溶胶质量浓度垂直分布的影响. 中国科学院研究生院学报, 2007, 24(5): 619-624 [Han D-W, Liu W-Q, Zhang Y-J, et al. Influence of temperature and relative humidity upon aerosol mass concentrations vertical distributions. Journal of the Graduate School of the Chinese Academy of Sciences, 2007, 24(5): 619-624]
[42] 孟清, 白红英, 赵婷, 等. 秦岭地区气溶胶光学厚度的时空演变特征及其影响因子. 生态环境学报, 2019, 28(8): 1596-1603 [Meng Q, Bai H-Y, Zhao T, et al. Evaluation of spatial-temporal characteristics and aerosol optical depth and influencing factors in Qinling Mountain region. Ecology and Environment Sciences, 2019, 28(8): 1596-1603]
[43] 林俊, 刘卫, 李燕, 等. 大气气溶胶粒径分布特征与气象条件的相关性分析. 气象与环境学报, 2009, 25(1): 1-5 [Lin J, Liu W, Li Y, et al. Relationship between meteorological conditions and particle size distribution of atmospheric aerosols. Journal of Meteorology and Environment, 2009, 25(1): 1-5]
[44] 刘大锰, 马永胜, 高少鹏, 等. 北京市区春季燃烧源大气颗粒物的污染水平和影响因素. 现代地质, 2005, 19(4): 627-633 [Liu D-M, Ma Y-S, Gao S-P, et al. The pollution level and affecting factors of atmospheric particulates from combustion during spring in Beijing City. Geoscience, 2005, 19(4): 627-633]
[45] 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. 长江流域资源与环境, 2015, 24(1): 160-170 [Zhou B, Liu D-Y, Wei J-S, et al. A preliminary analysis on scavenging effect of precipitation on aerosol particles. Resources and Environment in the Yangtze Basin, 2015, 24(1): 160-170]
[46] 郎凤玲, 闫伟奇, 张泉, 等. 北京大气颗粒物数浓度粒径分布特征及与气象条件的相关性. 中国环境科学, 2013, 33(7): 1153-1159 [Lang F-L, Yan W-Q, Zhang Q, et al. Size distribution of atmospheric particle number in Beijing and association with meteorological conditions. China Environmental Science, 2013, 33(7): 1153-1159]

“21世纪海上丝绸之路”沿线典型城市气溶胶光学厚度时空分布特征与成因

Characteristics of aerosol optical depth dynamics and their causes over typical cities along the 21st Century Maritime Silk Road

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	邱瑶, 罗涛, 王琼, 蒋思雨. 夏热冬暖地区绿量构成对城市热环境的影响——以福州居住区为例 [J]. 应用生态学报, 2023, 34(7): 1932-1940.
[2]	王世豪, 徐新良, 黄麟, 赵广. 1980s—2010s东北农田土壤养分时空变化特征 [J]. 应用生态学报, 2023, 34(4): 865-875.
[3]	于水, 张晓龙, 刘志娟, 王妍, 沈彦军. 1961—2020年松花江流域极端气候指数的时空变化特征 [J]. 应用生态学报, 2023, 34(4): 1091-1101.
[4]	赵家培, 郭恩亮, 王永芳, 康尧, 顾锡羚. 基于核温度植被干旱指数的内蒙古植被生长季生态干旱监测 [J]. 应用生态学报, 2023, 34(11): 2929-2937.
[5]	崔茜琳, 何云玲, 李宗善. 青藏高原植被水分利用效率时空变化及与气候因子的关系 [J]. 应用生态学报, 2022, 33(6): 1525-1532.
[6]	曹玉娟, 宋振华, 武志涛, 杜自强. 不同数据集的1982—2017年中国总初级生产力的时空动态 [J]. 应用生态学报, 2022, 33(10): 2644-2652.
[7]	叶璇, 康帅直, 赵永华, 韩磊, 项曦明, 李帆. 陕北黄土高原植被恢复与生态系统服务的时空关系 [J]. 应用生态学报, 2022, 33(10): 2760-2768.
[8]	朱光磊, 佟守正, 赵春子. 嫩江流域参考作物蒸散量时空变化及其气候归因 [J]. 应用生态学报, 2022, 33(1): 201-209.
[9]	康尧, 郭恩亮, 王永芳, 包玉龙, 包玉海, 那仁满都拉. 温度植被干旱指数在蒙古高原干旱监测中的应用 [J]. 应用生态学报, 2021, 32(7): 2534-2544.
[10]	李建豪, 陶建斌, 程波, 吴琪凡, 彭宏杰. 秦岭山区植被春季物候的海拔敏感性 [J]. 应用生态学报, 2021, 32(6): 2089-2097.
[11]	韩磊, 火红, 刘钊, 赵永华, 朱会利, 陈芮, 赵子林. 基于地形梯度的黄河流域中段植被覆盖时空分异特征——以延安市为例 [J]. 应用生态学报, 2021, 32(5): 1581-1592.
[12]	靳甜甜, 张云霞, 朱月华, 巩杰, 燕玲玲. 黄土高原林区生态系统服务价值与景观生态风险时空变化及其关联性——以子午岭区为例 [J]. 应用生态学报, 2021, 32(5): 1623-1632.
[13]	张世勍, 曹闪闪, 胡礼庭, 蔡超琳, 屠越, 刘敏. 亚洲季风区大气CH₄浓度时空变化特征与影响因素 [J]. 应用生态学报, 2021, 32(4): 1406-1416.
[14]	林少植, 葛全胜, 王焕炯. 欧洲典型树种展叶始期的时空变化及其对气候变化的响应 [J]. 应用生态学报, 2021, 32(3): 788-798.
[15]	安德帅, 徐丹丹, 濮毅涵, 王浩斌, 刘艳清, 朱建琴. 2000—2019年武夷山亚高山草甸对气候因子的响应及其时滞效应 [J]. 应用生态学报, 2021, 32(12): 4195-4202.