首页 | 本学科首页   官方微博 | 高级检索  
     检索      

乌鲁木齐市气溶胶光学厚度时空分布特征及潜在来源分析
引用本文:玛依拉·热西丁,丁建丽,张喆,张振华,陈香月,刘思怡.乌鲁木齐市气溶胶光学厚度时空分布特征及潜在来源分析[J].环境科学学报,2020,40(5):1611-1620.
作者姓名:玛依拉·热西丁  丁建丽  张喆  张振华  陈香月  刘思怡
作者单位:新疆大学资源与环境科学学院,智慧城市与环境建模自治区普通高校重点实验室,乌鲁木齐830046;新疆大学绿洲生态教育部重点实验室,乌鲁木齐830046,新疆大学资源与环境科学学院,智慧城市与环境建模自治区普通高校重点实验室,乌鲁木齐830046;新疆大学绿洲生态教育部重点实验室,乌鲁木齐830046,新疆大学资源与环境科学学院,智慧城市与环境建模自治区普通高校重点实验室,乌鲁木齐830046;新疆大学绿洲生态教育部重点实验室,乌鲁木齐830046,新疆大学资源与环境科学学院,智慧城市与环境建模自治区普通高校重点实验室,乌鲁木齐830046;新疆大学绿洲生态教育部重点实验室,乌鲁木齐830046,新疆大学资源与环境科学学院,智慧城市与环境建模自治区普通高校重点实验室,乌鲁木齐830046;新疆大学绿洲生态教育部重点实验室,乌鲁木齐830046,新疆大学资源与环境科学学院,智慧城市与环境建模自治区普通高校重点实验室,乌鲁木齐830046;新疆大学绿洲生态教育部重点实验室,乌鲁木齐830046
基金项目:国家自然科学基金项目(No.41771470,41961059)
摘    要:依据2009年1月—2019年7月MODIS/AQUA C6.1 MYD04_L2 气溶胶光学厚度(Aerosol Optical Depth, AOD)日数据,在宏观视角下对乌鲁木齐市AOD时空分布特征进行分析,利用后向轨迹模式(Hybrid Single Particle Lagrangian Integrated Trajectory,HYSPLIT)和潜在源贡献作用分析方法(Potential Source Contribution Function, PSCF)讨论气溶胶运输的季节性变化,并揭示研究不同季节对AOD影响较为明显的潜在源空间分布.结果表明:①乌鲁木齐市AOD呈显著的季节性差异,四季均值依次为:春季(0.328) > 夏季(0.310) > 秋季(0.273) > 冬季(0.137),AOD高值区主要集中在市区.②AOD年内呈双峰分布,峰值分别对应为4月(0.402)和8月(0.346);10 a间AOD呈弱下降趋势,其中2014年最高(0.316),2017年最低(0.235),AOD均值为0. 276.③春季和冬季乌鲁木齐市气团输送主要来自中亚地区,夏季和秋季则来自于天山周边地区;AOD主要潜在源区为乌鲁木齐市及其周边地区,对乌鲁木齐市空气质量具有显著影响.

关 键 词:气溶胶  MODIS_C6.1  时空分布  潜在源区  乌鲁木齐
收稿时间:2019/10/24 0:00:00
修稿时间:2019/12/5 0:00:00

Spatiotemporal distribution characteristics and potential sources of aerosol optical depth in Urumqi
Mayila Rexiding,DING Jianli,ZHANG Zhe,ZHANG Zhenhu,CHEN Xiangyue and LIU Siyi.Spatiotemporal distribution characteristics and potential sources of aerosol optical depth in Urumqi[J].Acta Scientiae Circumstantiae,2020,40(5):1611-1620.
Authors:Mayila Rexiding  DING Jianli  ZHANG Zhe  ZHANG Zhenhu  CHEN Xiangyue and LIU Siyi
Institution:1. Key Laboratory of Smart City and Environment Modelling of Higher Education Institute, College of Resources&Environmental Science, Xinjiang University, Urumqi 830046;2. Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830046,1. Key Laboratory of Smart City and Environment Modelling of Higher Education Institute, College of Resources&Environmental Science, Xinjiang University, Urumqi 830046;2. Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830046,1. Key Laboratory of Smart City and Environment Modelling of Higher Education Institute, College of Resources&Environmental Science, Xinjiang University, Urumqi 830046;2. Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830046,1. Key Laboratory of Smart City and Environment Modelling of Higher Education Institute, College of Resources&Environmental Science, Xinjiang University, Urumqi 830046;2. Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830046,1. Key Laboratory of Smart City and Environment Modelling of Higher Education Institute, College of Resources&Environmental Science, Xinjiang University, Urumqi 830046;2. Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830046 and 1. Key Laboratory of Smart City and Environment Modelling of Higher Education Institute, College of Resources&Environmental Science, Xinjiang University, Urumqi 830046;2. Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830046
Abstract:In this study, collection 6.1 MODIS/AQUA MYD04_L2 products of Urumqi from January 2009 to July 2019 were used to analyze the AOD spatiotemporal variation characteristics. HYSPLIT model and Potential Source Contribution Function (PSCF) was used to evaluate the transport pathways and identify the potential source-zones and its contribution to Urumqi AOD in different seasons during the study period. The results show that the mean AOD values of the four seasons were: spring (0.328) > summer (0.310) > autumn (0.273) > winter (0.137), AOD high value were mainly concentrated in the urban areas of Urumqi. The monthly mean AODs in Urumqi were bimodal distribution, with a peak value of 0.402 in April and 0.346 in August. The yearly mean AOD ranged from 0.235 to 0.316, and showed a weak downward trend, average value of AOD during the 10 years was 0.276. The airflows transported to Urumqi in spring and winter mainly come from Central Asia, while in summer and autumn the airflows come from the areas around Tianshan Mountains. Major potential sources of AOD in the study period were mainly centralized in local and surrounding regions, which has a significant impact on air quality in Urumqi.
Keywords:aerosol  MODIS_C6  1  spatial and temporal distribution  potential sources  Urumqi
本文献已被 万方数据 等数据库收录!
点击此处可从《环境科学学报》浏览原始摘要信息
点击此处可从《环境科学学报》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号