IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v10y2013i3p1048-1061d24247.html
   My bibliography  Save this article

Observational Studies and a Statistical Early Warning of Surface Ozone Pollution in Tangshan, the Largest Heavy Industry City of North China

Author

Listed:
  • Pei Li

    (College of Atmospheric Science, Lanzhou University, Lanzhou, Gansu 730000, China
    State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
    Unit 93534 of PLA, Beijing 101212, China)

  • Jinyuan Xin

    (State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China)

  • Xiaoping Bai

    (College of Atmospheric Science, Lanzhou University, Lanzhou, Gansu 730000, China)

  • Yuesi Wang

    (State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China)

  • Shigong Wang

    (College of Atmospheric Science, Lanzhou University, Lanzhou, Gansu 730000, China)

  • Shixi Liu

    (State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China)

  • Xiaoxin Feng

    (College of Material Science, Hebei United University, Tangshan, Hebei 063009, China)

Abstract

Continuous measurements of surface ozone (O 3 ) and nitrogen oxides (NO X ) at an urban site (39°37′N, 118°09′E) in Tangshan, the largest heavy industry city of North China during summertime from 2008 to 2011 are presented. The pollution of O 3 was serious in the city. The daily maximum 1 h means (O 3_1-hr max ) reached 157 ± 55, 161 ± 54, 120 ± 50, and 178 ± 75 μg/m 3 corresponding to an excess over the standard rates of 21%, 27%, 10%, and 40% in 2008–2011, respectively. The total oxidant level (O X = O 3 + NO 2 ) was high, with seasonal average concentrations up to 100 μg/m 3 in summer. The level of O X at a given location was made up of NO X -independent and NO X -dependent contributions. The independent part can be considered as a regional contribution and was about 100 μg/m 3 in Tangshan. Statistical early warning analysis revealed that the O 3 levels would exceed the standard rate by 50% on the day following a day when the daily average ozone concentration (O 3_mean ) exceeded 87 μg/m 3 and the daily maximum temperature (T _max ) exceeded 29 °C. The exceed-standard rate would reach 80% when O 3_mean and T _max exceeded 113 μg/m 3 and 31 °C. Similarly, the exceed-standard rate would reach 100% when O 3_mean and T _max exceeded 127 μg/m 3 and 33 °C, respectively.

Suggested Citation

  • Pei Li & Jinyuan Xin & Xiaoping Bai & Yuesi Wang & Shigong Wang & Shixi Liu & Xiaoxin Feng, 2013. "Observational Studies and a Statistical Early Warning of Surface Ozone Pollution in Tangshan, the Largest Heavy Industry City of North China," IJERPH, MDPI, vol. 10(3), pages 1-14, March.
    • Handle: RePEc:gam:jijerp:v:10:y:2013:i:3:p:1048-1061:d:24247
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/10/3/1048/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/10/3/1048/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bin Xu, 2022. "How to Efficiently Reduce the Carbon Intensity of the Heavy Industry in China? Using Quantile Regression Approach," IJERPH, MDPI, vol. 19(19), pages 1-24, October.
    2. Shintaro Shirato & Atsushi Iizuka & Atsushi Mizukoshi & Miyuki Noguchi & Akihiro Yamasaki & Yukio Yanagisawa, 2015. "Optimized Arrangement of Constant Ambient Air Monitoring Stations in the Kanto Region of Japan," IJERPH, MDPI, vol. 12(3), pages 1-17, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:10:y:2013:i:3:p:1048-1061:d:24247. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.