PMID- 31791768
OWN - NLM
STAT- PubMed-not-MEDLINE
DCOM- 20200102
LR  - 20200102
IS  - 1879-1026 (Electronic)
IS  - 0048-9697 (Linking)
VI  - 704
DP  - 2020 Feb 20
TI  - The impact of urban agglomeration on ozone precursor conditions: A systematic 
      investigation across global agglomerations utilizing multi-source geospatial 
      datasets.
PG  - 135458
LID - S0048-9697(19)35451-8 [pii]
LID - 10.1016/j.scitotenv.2019.135458 [doi]
AB  - Urbanization significantly influences ozone via two conditions of its formation: 
      1) precursor concentration; and 2) chemical regime. Recently, there has been 
      raised concern about the influence of urban agglomerations on these two 
      conditions. Although valuable efforts have been made, some contrary viewpoints 
      exist. Meanwhile, urban agglomerations in developed and developing regions are 
      experiencing different urbanization processes, so a systematic comparison between 
      these two regions is warranted. In this context, by leveraging multi-source 
      geospatial datasets, this paper systematically gauges the influence of urban 
      agglomerations on ozone precursor conditions and further investigates the 
      spatiotemporal variations. Based on the analysis of 71 global agglomerations 
      during 2005-2016, it is found that: 1) not all urban agglomerations have a 
      positive effect on ozone precursor conditions; 2) the negative effects of urban 
      agglomerations can be attributed to the low latitudes and the ecological areas 
      (p < 0.05); 3) the agglomeration influence intensifies with the increase of 
      built-up area, population, and latitude (p < 0.05); 4) the anthropogenic nitrogen 
      oxide (NO(x)) emission from all sectors can aggravate the magnitude of the urban 
      agglomeration influence (p < 0.05), while for volatile organic compounds 
      (VOC(s)), only the contribution of industrial emissions is significant 
      (p < 0.05); and 5) in view of the temporal dynamics, the influence of urban 
      agglomeration on ozone precursor condition is opposite in developed and 
      developing regions. This study will provide important insights for future urban 
      agglomeration studies and ozone pollution monitoring with geospatial datasets.
CI  - Copyright (c) 2019 Elsevier B.V. All rights reserved.
FAU - Li, Jiayi
AU  - Li J
AD  - School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 
      430079, China.
FAU - Gao, Yuan
AU  - Gao Y
AD  - School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 
      430079, China.
FAU - Huang, Xin
AU  - Huang X
AD  - School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 
      430079, China; State Key Laboratory of Information Engineering in Surveying, 
      Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China. Electronic 
      address: xhuang@whu.edu.cn.
LA  - eng
PT  - Journal Article
DEP - 20191121
PL  - Netherlands
TA  - Sci Total Environ
JT  - The Science of the total environment
JID - 0330500
SB  - IM
OTO - NOTNLM
OT  - Geospatial datasets
OT  - Global
OT  - Ozone precursor condition
OT  - Urban agglomeration
EDAT- 2019/12/04 06:00
MHDA- 2019/12/04 06:01
CRDT- 2019/12/04 06:00
PHST- 2019/06/04 00:00 [received]
PHST- 2019/11/01 00:00 [revised]
PHST- 2019/11/08 00:00 [accepted]
PHST- 2019/12/04 06:00 [pubmed]
PHST- 2019/12/04 06:01 [medline]
PHST- 2019/12/04 06:00 [entrez]
AID - S0048-9697(19)35451-8 [pii]
AID - 10.1016/j.scitotenv.2019.135458 [doi]
PST - ppublish
SO  - Sci Total Environ. 2020 Feb 20;704:135458. doi: 10.1016/j.scitotenv.2019.135458. 
      Epub 2019 Nov 21.