Home > Research > Publications & Outputs > Regionalization based on spatial and seasonal v...

Electronic data

  • 2017-1409-final11-10-17

    Rights statement: This is the author’s version of a work that was accepted for publication in Journal of Environmental Sciences. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Environmental Sciences, 67, 2018 DOI: 10.1016/j.jes.2017.08.011

    Accepted author manuscript, 1.34 MB, PDF document

    Available under license: CC BY-NC-ND: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License

Links

Text available via DOI:

View graph of relations

Regionalization based on spatial and seasonal variation in ground-level ozone concentrations across China

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published

Standard

Regionalization based on spatial and seasonal variation in ground-level ozone concentrations across China. / Cheng, Linjun; Wang, Shuai; Gon, Zhengyu et al.
In: Journal of Environmental Sciences, Vol. 67, 05.2018, p. 179-190.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Cheng, L, Wang, S, Gon, Z, Li, H, Yang, Q & Wang, Y 2018, 'Regionalization based on spatial and seasonal variation in ground-level ozone concentrations across China', Journal of Environmental Sciences, vol. 67, pp. 179-190. https://doi.org/10.1016/j.jes.2017.08.011

APA

Cheng, L., Wang, S., Gon, Z., Li, H., Yang, Q., & Wang, Y. (2018). Regionalization based on spatial and seasonal variation in ground-level ozone concentrations across China. Journal of Environmental Sciences, 67, 179-190. https://doi.org/10.1016/j.jes.2017.08.011

Vancouver

Cheng L, Wang S, Gon Z, Li H, Yang Q, Wang Y. Regionalization based on spatial and seasonal variation in ground-level ozone concentrations across China. Journal of Environmental Sciences. 2018 May;67:179-190. Epub 2017 Aug 30. doi: 10.1016/j.jes.2017.08.011

Author

Cheng, Linjun ; Wang, Shuai ; Gon, Zhengyu et al. / Regionalization based on spatial and seasonal variation in ground-level ozone concentrations across China. In: Journal of Environmental Sciences. 2018 ; Vol. 67. pp. 179-190.

Bibtex

@article{30275b4bc4c740ea87f8e24da671074b,
title = "Regionalization based on spatial and seasonal variation in ground-level ozone concentrations across China",
abstract = "Owing to the vast territory of China and strong regional characteristic of ozone pollution, it is desirable for policy makers to have a targeted and prioritized regulation and ozone pollution control strategy in China based on scientific evidences. It is important to assess its current pollution status as well as spatial and temporal variation patterns across China. Recent advances of national monitoring networks provide an opportunity to insight the actions of ozone pollution. Here, we present rotated empirical orthogonal function (REOF) analysis that was used on studying the spatiotemporal characteristics of daily ozone concentrations. Based on the results of REOF analysis in pollution seasons for 3 years' observations, twelve regions with clear patterns were identified in China. The patterns of temporal variation of ozone in each region were separated well and different from each other, reflecting local meteorological, photochemical or pollution features. A rising trend for annual averaged of Eight-hour Average Ozone Concentrations (O3-8 hr) from 2014 to 2016 was observed for all regions, except for the Tibetan Plateau. The mean values of annual and 90 percentile concentrations for all 338 cities were 82.6 ± 14.6 and 133.9 ± 25.8 μg/m3, respectively, in 2015. The regionalization results of ozone were found to be influenced greatly by terrain features, indicating significant terrain and landform effects on ozone spatial correlations. Among the 12 regions, North China Plain, Huanghuai Plain, Central Yangtze River Plain, Pearl River Delta and Sichuan Basin were realized as priority regions for mitigation strategies, due to their higher ozone concentrations and densely population.",
keywords = "Ozone, Spatiotemporal variability, REOF, Regionalization",
author = "Linjun Cheng and Shuai Wang and Zhengyu Gon and Hong Li and Qi Yang and Yeyao Wang",
note = "This is the author{\textquoteright}s version of a work that was accepted for publication in Journal of Environmental Sciences. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Environmental Sciences, 67, 2018 DOI: 10.1016/j.jes.2017.08.011",
year = "2018",
month = may,
doi = "10.1016/j.jes.2017.08.011",
language = "English",
volume = "67",
pages = "179--190",
journal = "Journal of Environmental Sciences",
issn = "1001-0742",
publisher = "Chinese Academy of Sciences",

}

RIS

TY - JOUR

T1 - Regionalization based on spatial and seasonal variation in ground-level ozone concentrations across China

AU - Cheng, Linjun

AU - Wang, Shuai

AU - Gon, Zhengyu

AU - Li, Hong

AU - Yang, Qi

AU - Wang, Yeyao

N1 - This is the author’s version of a work that was accepted for publication in Journal of Environmental Sciences. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Environmental Sciences, 67, 2018 DOI: 10.1016/j.jes.2017.08.011

PY - 2018/5

Y1 - 2018/5

N2 - Owing to the vast territory of China and strong regional characteristic of ozone pollution, it is desirable for policy makers to have a targeted and prioritized regulation and ozone pollution control strategy in China based on scientific evidences. It is important to assess its current pollution status as well as spatial and temporal variation patterns across China. Recent advances of national monitoring networks provide an opportunity to insight the actions of ozone pollution. Here, we present rotated empirical orthogonal function (REOF) analysis that was used on studying the spatiotemporal characteristics of daily ozone concentrations. Based on the results of REOF analysis in pollution seasons for 3 years' observations, twelve regions with clear patterns were identified in China. The patterns of temporal variation of ozone in each region were separated well and different from each other, reflecting local meteorological, photochemical or pollution features. A rising trend for annual averaged of Eight-hour Average Ozone Concentrations (O3-8 hr) from 2014 to 2016 was observed for all regions, except for the Tibetan Plateau. The mean values of annual and 90 percentile concentrations for all 338 cities were 82.6 ± 14.6 and 133.9 ± 25.8 μg/m3, respectively, in 2015. The regionalization results of ozone were found to be influenced greatly by terrain features, indicating significant terrain and landform effects on ozone spatial correlations. Among the 12 regions, North China Plain, Huanghuai Plain, Central Yangtze River Plain, Pearl River Delta and Sichuan Basin were realized as priority regions for mitigation strategies, due to their higher ozone concentrations and densely population.

AB - Owing to the vast territory of China and strong regional characteristic of ozone pollution, it is desirable for policy makers to have a targeted and prioritized regulation and ozone pollution control strategy in China based on scientific evidences. It is important to assess its current pollution status as well as spatial and temporal variation patterns across China. Recent advances of national monitoring networks provide an opportunity to insight the actions of ozone pollution. Here, we present rotated empirical orthogonal function (REOF) analysis that was used on studying the spatiotemporal characteristics of daily ozone concentrations. Based on the results of REOF analysis in pollution seasons for 3 years' observations, twelve regions with clear patterns were identified in China. The patterns of temporal variation of ozone in each region were separated well and different from each other, reflecting local meteorological, photochemical or pollution features. A rising trend for annual averaged of Eight-hour Average Ozone Concentrations (O3-8 hr) from 2014 to 2016 was observed for all regions, except for the Tibetan Plateau. The mean values of annual and 90 percentile concentrations for all 338 cities were 82.6 ± 14.6 and 133.9 ± 25.8 μg/m3, respectively, in 2015. The regionalization results of ozone were found to be influenced greatly by terrain features, indicating significant terrain and landform effects on ozone spatial correlations. Among the 12 regions, North China Plain, Huanghuai Plain, Central Yangtze River Plain, Pearl River Delta and Sichuan Basin were realized as priority regions for mitigation strategies, due to their higher ozone concentrations and densely population.

KW - Ozone

KW - Spatiotemporal variability

KW - REOF

KW - Regionalization

U2 - 10.1016/j.jes.2017.08.011

DO - 10.1016/j.jes.2017.08.011

M3 - Journal article

VL - 67

SP - 179

EP - 190

JO - Journal of Environmental Sciences

JF - Journal of Environmental Sciences

SN - 1001-0742

ER -