干旱区生态环境知识资源中心(Arid): Retrieval of Fine-Resolution Aerosol Optical Depth (AOD) in Semiarid Urban Areas Using Landsat Data: A Case Study in Urumqi, NW China

Arid

DOI	10.3390/rs12030467
	Retrieval of Fine-Resolution Aerosol Optical Depth (AOD) in Semiarid Urban Areas Using Landsat Data: A Case Study in Urumqi, NW China
	Chen, Xiangyue 1,2,3; Ding, Jianli1,2,3 ; Wang, Jingzhe 4,5,6; Ge, Xiangyu 1,2,3; Raxidin, Mayira 1,2,3; Liang, Jing 7; Chen, Xiaoxiao 1,2,3; Zhang, Zipeng 1,2,3; Cao, Xiaoyi 1,2,3; Ding, Yue 3
通讯作者	Ding, Jianli
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2020
卷号	12 期号:3
英文摘要	The aerosol optical depth (AOD) represents the light attenuation by aerosols and is an important threat to urban air quality, production activities, human health, and sustainable urban development in arid and semiarid regions. To some extent, the AOD reflects the extent of regional air pollution and is often characterized by significant spatiotemporal dynamics. However, detailed local AOD information is ambiguous at best due to limited monitoring techniques. Currently, the availability of abundant satellite data and constantly updated AOD extraction algorithms offer unprecedented perspectives for high-resolution AOD extraction and long-time series analysis. This study, based on the long-term sequence MOD09A1 data from 2010 to 2018 and lookup table generation, uses the improved deep blue algorithm (DB) to conduct fine-resolution (500 m) AOD (at 550 nm wavelength) remote sensing (RS) estimation on Landsat TM/OLI data from the Urumqi region, analyzes the spatiotemporal AOD variation characteristics in Urumqi and combines gray relational analysis (GRA) and the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model to analyze AOD influence factors and simulate pollutant propagation trajectories in representative periods. The results demonstrate that the improved DB algorithm has a high inversion accuracy for continuous AOD inversion at a high spatial resolution in urban areas. The spatial AOD distribution in Urumqi declines from urban to suburban areas, and higher AODs are concentrated in cities and along roads. Among these areas, Xinshi District has the highest AOD, and Urumqi County has the lowest AOD. The seasonal AOD variation characteristics are distinct, and the AOD order is spring (0.411) > summer (0.285) > autumn (0.203), with the largest variation in spring. The average AOD in Urumqi is 0.187, and the interannual variation generally shows an upward trend. However, from 2010 to 2018, AOD first declined gradually and then declined significantly. Thereafter, AOD reached its lowest value in 2015 (0.076), followed by a significant AOD increase, reaching a peak in 2016 (0.354). This shows that coal to natural gas (NG) project implementation in Urumqi promoted the improvement of Urumqi's atmospheric environment. According to GRA, the temperature has the largest impact on the AOD in Urumqi (0.699). Combined with the HYSPLIT model, it was found that the aerosols observed over Urumqi were associated with long-range transport from Central Asia, and these aerosols can affect the entire northern part of China through long-distance transport.
英文关键词	AOD DB GRA HYSPLIT spatiotemporal variation Urumqi
类型	Article
语种	英语
国家	Peoples R China
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000515393800126
WOS关键词	GREY RELATIONAL ANALYSIS ; PARTICULATE POLLUTION ; EBINUR LAKE ; MODIS ; ALGORITHM ; XINJIANG ; AERONET ; SEASONS ; IMPACT ; PM2.5
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
来源机构	新疆大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/315417
作者单位	1.Xinjiang Univ, Key Lab Smart City & Environm Modelling Higher Ed, Urumqi 800046, Peoples R China; 2.Xinjiang Univ, Key Lab Oasis Ecol, Urumqi 830046, Peoples R China; 3.Xinjiang Univ, Coll Resources & Environm Sci, Urumqi 830046, Peoples R China; 4.Shenzhen Univ, Key Lab Geoenvironm Monitoring Coastal Zone, Minist Nat Resources, Shenzhen 518060, Peoples R China; 5.Shenzhen Univ, Guangdong Key Lab Urban Informat, Shenzhen 518060, Peoples R China; 6.Shenzhen Univ, Shenzhen Key Lab Spatial Smart Sensing & Serv, Shenzhen 518060, Peoples R China; 7.Urumqi Urban Inst Geotech Invest Surveying & Mapp, Urumqi 830000, Peoples R China
推荐引用方式 GB/T 7714	Chen, Xiangyue,Ding, Jianli,Wang, Jingzhe,et al. Retrieval of Fine-Resolution Aerosol Optical Depth (AOD) in Semiarid Urban Areas Using Landsat Data: A Case Study in Urumqi, NW China[J]. 新疆大学,2020,12(3).
APA	Chen, Xiangyue.,Ding, Jianli.,Wang, Jingzhe.,Ge, Xiangyu.,Raxidin, Mayira.,...&Ding, Yue.(2020).Retrieval of Fine-Resolution Aerosol Optical Depth (AOD) in Semiarid Urban Areas Using Landsat Data: A Case Study in Urumqi, NW China.REMOTE SENSING,12(3).
MLA	Chen, Xiangyue,et al."Retrieval of Fine-Resolution Aerosol Optical Depth (AOD) in Semiarid Urban Areas Using Landsat Data: A Case Study in Urumqi, NW China".REMOTE SENSING 12.3(2020).