• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

[天山北坡城市群气溶胶光学特性的时空分布特征]

[Temporal and Spatial Distribution Characteristics of Aerosol Optical Properties in Urban Agglomerations on the North Slope of the Tianshan Mountains].

作者信息

Zhang Zhe, Ding Jian-Li, Wang Jin-Jie, Chen Xiang-Yue, Liu Xing-Tao, Atican Osman

机构信息

Geography Postdoctoral Research Station, Xinjiang University, Urumqi 830046, China.

Key Laboratory of Smart City and Environment Modelling of Higher Education Institute, College of Resources and Environment Science, Xinjiang University, Urumqi 830046, China.

出版信息

Huan Jing Ke Xue. 2021 May 8;42(5):2202-2212. doi: 10.13227/j.hjkx.202009083.

DOI:10.13227/j.hjkx.202009083
PMID:33884789
Abstract

In order to explore the temporal and spatial distribution characteristics of atmospheric aerosol optical depth (AOD) in the urban agglomeration on the northern slope of the Tianshan Mountains, the temporal and spatial distribution characteristics and trends of changes in the AOD in the study area from 2000 to 2019 were analyzed by MODIS aerosol products(MCD19-A2). For 2016-2019, when the AOD was relatively stable, the parameters such as the AOD and Ångström wavelength index () were analyzed using multi-band sun photometer ground-based remote sensing technology. The results showed that ① the spatial distribution of AOD in the study area was consistent with the topography, and high values were mainly distributed in the low altitude area. The spatial distribution of AOD in the four seasons showed a strong seasonal change from spring (0.15±0.03) > autumn (0.14±0.03) > summer (0.14±0.02). ② In terms of time, the annual average AOD value of the study area was 0.12 from 2000 to 2019 with an annual growth rate of 1.03%, thereby showing an overall increasing trend. The annual variation in the monthly mean value of AOD was bimodal; the first and second peaks were in May and November. The main reason for the increase in AOD was the release and transmission of dust from natural sources and heating. ③ Under the influence of dust weather, the AOD changed sharply in spring, and the size and change range of aerosol particles were larger than those in summer. The high value of AOD in the study area was mainly affected by coarse mode particles. The moisture absorption growth of fine mode particles caused a fluctuation in the AOD, but it was not the cause of the high value of AOD.

摘要

为探究天山北坡城市群大气气溶胶光学厚度(AOD)的时空分布特征,利用中分辨率成像光谱仪(MODIS)气溶胶产品(MCD19 - A2)分析了2000—2019年研究区域AOD的时空分布特征及变化趋势。对于2016—2019年AOD相对稳定期间,利用多波段太阳光度计地基遥感技术分析了AOD和Ångström波长指数( )等参数。结果表明:①研究区域AOD的空间分布与地形一致,高值主要分布在低海拔区域。四季AOD的空间分布呈现出较强的季节变化,春季(0.15±0.03)>秋季(0.14±0.03)>夏季(0.14±0.02)。②从时间上看,2000—2019年研究区域年平均AOD值为0.12,年增长率为1.03%,呈整体上升趋势。AOD月均值的年变化呈双峰型;第一和第二峰值分别出现在5月和11月。AOD增加的主要原因是自然源沙尘的释放与传输以及供暖。③在沙尘天气影响下,春季AOD变化剧烈,气溶胶颗粒的粒径和变化范围均大于夏季。研究区域AOD高值主要受粗模态颗粒影响。细模态颗粒的吸湿增长导致AOD出现波动,但并非AOD高值的成因。

相似文献

1
[Temporal and Spatial Distribution Characteristics of Aerosol Optical Properties in Urban Agglomerations on the North Slope of the Tianshan Mountains].[天山北坡城市群气溶胶光学特性的时空分布特征]
Huan Jing Ke Xue. 2021 May 8;42(5):2202-2212. doi: 10.13227/j.hjkx.202009083.
2
[Aerosol Optical Characteristics with Ground-based Measurements via Sun Photometer and Its Relationship with PM Particle Concentration in Chang'an].[基于太阳光度计的长安地区气溶胶光学特性地基测量及其与PM颗粒物浓度的关系]
Huan Jing Ke Xue. 2022 Jul 8;43(7):3494-3507. doi: 10.13227/j.hjkx.202109055.
3
[Aerosol Optical Properties over the Ebinur Region].[艾比湖地区的气溶胶光学特性]
Huan Jing Ke Xue. 2020 Aug 8;41(8):3484-3491. doi: 10.13227/j.hjkx.202002096.
4
[Spatiotemporal Distribution of Aerosol Optical Depth Based on Landsat Data in the Hinterland of the Guanzhong Basin and Its Relationship with Urbanization].基于Landsat数据的关中盆地腹地气溶胶光学厚度时空分布及其与城市化的关系
Huan Jing Ke Xue. 2021 Jun 8;42(6):2699-2712. doi: 10.13227/j.hjkx.202010018.
5
[Analysis of Spatio-temporal Distribution Characteristics and Influencing Factors of PM Concentration in Urban Agglomerations on the Northern Slope of Tianshan Mountains].天山北坡城市群PM浓度时空分布特征及影响因素分析
Huan Jing Ke Xue. 2024 Mar 8;45(3):1315-1327. doi: 10.13227/j.hjkx.202303017.
6
Inferring wavelength dependence of AOD and Ångström exponent over a sub-tropical station in South Africa using AERONET data: influence of meteorology, long-range transport and curvature effect.利用 AERONET 数据推断南非亚热带站点的 AOD 和 Ångström 指数波长依赖性:气象、长程传输和曲率效应的影响。
Sci Total Environ. 2013 Sep 1;461-462:397-408. doi: 10.1016/j.scitotenv.2013.04.095. Epub 2013 Jun 5.
7
Exploring the spatial-temporal characteristics of the aerosol optical depth (AOD) in Central Asia based on the moderate resolution imaging spectroradiometer (MODIS).基于中分辨率成像光谱仪(MODIS)探究中亚地区气溶胶光学深度(AOD)的时空特征。
Environ Monit Assess. 2020 May 20;192(6):383. doi: 10.1007/s10661-020-08299-x.
8
[Spatial and Temporal Characteristics of AOD and Angström Exponent in the Yangtze River Delta Based on MODIS_C061].基于MODIS_C061的长江三角洲地区气溶胶光学厚度及Ångström指数的时空特征
Huan Jing Ke Xue. 2020 Jun 8;41(6):2617-2624. doi: 10.13227/j.hjkx.201909273.
9
[Spatio-Temporal Distribution and Variation Characteristics of Aerosol Optical Properties in Henan Province].
Huan Jing Ke Xue. 2020 Feb 8;41(2):600-608. doi: 10.13227/j.hjkx.201908197.
10
Columnar and ground-level aerosol optical properties: sensitivity to the transboundary pollution, daily and weekly patterns, and relationships.柱状和气溶胶光学特性:对跨境污染、日变化和周变化规律以及相互关系的敏感性。
Environ Sci Pollut Res Int. 2015 Nov;22(21):16570-89. doi: 10.1007/s11356-015-4850-7. Epub 2015 Jun 17.

引用本文的文献

1
PM2.5 concentration assessment based on geographical and temporal weighted regression model and MCD19A2 from 2015 to 2020 in Xinjiang, China.基于地理和时空加权回归模型及 MCD19A2 的 2015-2020 年中国新疆 PM2.5 浓度评估
PLoS One. 2023 May 11;18(5):e0285610. doi: 10.1371/journal.pone.0285610. eCollection 2023.