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Urban dust in the Guanzhong Basin of China, part I: A regional distribution of dust sources retrieved using satellite data
Long, Xin1,2; Li, Nan1,3; Tie, Xuexi1,4; Cao, Junji1,5; Zhao, Shuyu1; Huang, Rujin1,6; Zhao, Mudan7; Li, Guohui1; Feng, Tian1
2016-01-15
Source PublicationSCIENCE OF THE TOTAL ENVIRONMENT
Volume541Issue:2016Pages:1603-1613
SubtypeArticle
AbstractUrban dust pollution has been becoming an outstanding environmental problem due to rapid urbanization in China. However, it is very difficult to construct an urban dust inventory, owing to its small horizontal scale and strong temporal/spatial variability. With the analysis of visual interpretation, maximum likelihood classification, extrapolation and spatial overlaying, we quantified dust source distributions of urban constructions, barrens and croplands in the Guanzhong Basin using various satellite data, including VHR (0.5 m), Lansat-8 OLI (30 m) and MCD12Q1 (500 m). The croplands were the dominant dust sources, accounting for 40% (17,913 km(2)) of the study area in summer and 36% (17,913 km(2)) in winter, followed by barrens, accounting for 5% in summer and 10% in winter. Moreover, the total constructions were 126 km(2), including 84% of active and 16% inactive. In addition, 59% of the constructions aggregated on the only megacity of the study area, Xi'an. With high accuracy exceeding 88%, the proposed satellite-data based method is feasible and valuable to quantify distributions of dust sources. This study provides a new perspective to evaluate regional urban dust, which is seldom quantified and reported. In a companied paper (Part-2 of the study), the detailed distribution of the urban dust sources is applied in a dynamical/aerosol model (WRF-Dust) to assess the effect of dust sources on aerosol pollution. (C) 2015 Elsevier B.V. All rights reserved.
KeywordRegional Construction Dust Wrf-dust Model Urban Dust Source Satellite Data
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
DOI10.1016/j.scitotenv.2015.10.063
WOS KeywordMAXIMUM-LIKELIHOOD CLASSIFICATION ; CONSTRUCTION ; POLLUTION ; XIAN
Indexed BySCI
Language英语
WOS Research AreaEnvironmental Sciences & Ecology
WOS SubjectEnvironmental Sciences
WOS IDWOS:000365289300159
Citation statistics
Cited Times:6[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ieecas.cn/handle/361006/5865
Collection粉尘与环境研究室
Affiliation1.Chinese Acad Sci, Inst Earth Environm, SKLLQG, Key Lab Aerosol Chem & Phys, Xian 710061, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Natl Taiwan Univ, Dept Atmospher Sci, Taipei 10617, Taiwan
4.Natl Ctr Atmospher Res, Boulder, CO 80303 USA
5.Xi An Jiao Tong Univ, Inst Global Environm Change, Xian 710049, Peoples R China
6.Paul Scherrer Inst, Lab Atmospher Chem, CH-5232 Villigen, Switzerland
7.NW Univ Xian, Coll Urban & Environm Sci, Xian 710127, Peoples R China
Recommended Citation
GB/T 7714
Long, Xin,Li, Nan,Tie, Xuexi,et al. Urban dust in the Guanzhong Basin of China, part I: A regional distribution of dust sources retrieved using satellite data[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2016,541(2016):1603-1613.
APA Long, Xin.,Li, Nan.,Tie, Xuexi.,Cao, Junji.,Zhao, Shuyu.,...&Feng, Tian.(2016).Urban dust in the Guanzhong Basin of China, part I: A regional distribution of dust sources retrieved using satellite data.SCIENCE OF THE TOTAL ENVIRONMENT,541(2016),1603-1613.
MLA Long, Xin,et al."Urban dust in the Guanzhong Basin of China, part I: A regional distribution of dust sources retrieved using satellite data".SCIENCE OF THE TOTAL ENVIRONMENT 541.2016(2016):1603-1613.
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