IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i16p5953-d399916.html
   My bibliography  Save this article

Bridge Carbon Emissions and Driving Factors Based on a Life-Cycle Assessment Case Study: Cable-Stayed Bridge over Hun He River in Liaoning, China

Author

Listed:
  • ZhiWu Zhou

    (Institute of Concrete Science and Technology (ICITECH), Universitat Politècnica de València, 46022 Valencia, Spain)

  • Julián Alcalá

    (Institute of Concrete Science and Technology (ICITECH), Universitat Politècnica de València, 46022 Valencia, Spain)

  • Víctor Yepes

    (Institute of Concrete Science and Technology (ICITECH), Universitat Politècnica de València, 46022 Valencia, Spain)

Abstract

Due to the rapid growth of the construction industry’s global environmental impact, especially the environmental impact contribution of bridge structures, it is necessary to study the detailed environmental impact of bridges at each stage of the full life cycle, which can provide optimal data support for sustainable development analysis. In this work, the environmental impact case of a three-tower cable-stayed bridge was analyzed through openLCA software, and more than 23,680 groups of data were analyzed using Markov chain and other research methods. It was concluded that the cable-stayed bridge contributed the most to the global warming potential value, which was mainly concentrated in the operation and maintenance phases. The conclusion shows that controlling the exhaust pollution of passing vehicles and improving the durability of building materials were the key to reducing carbon contribution and are also important directions for future research.

Suggested Citation

  • ZhiWu Zhou & Julián Alcalá & Víctor Yepes, 2020. "Bridge Carbon Emissions and Driving Factors Based on a Life-Cycle Assessment Case Study: Cable-Stayed Bridge over Hun He River in Liaoning, China," IJERPH, MDPI, vol. 17(16), pages 1-22, August.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:16:p:5953-:d:399916
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/16/5953/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/17/16/5953/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Li Li & Lijun Sun & Guobao Ning, 2014. "Deterioration Prediction of Urban Bridges on Network Level Using Markov-Chain Model," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-10, March.
    2. Junxiao Wei & Kuang Cen, 2019. "A preliminary calculation of cement carbon dioxide in China from 1949 to 2050," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 24(8), pages 1343-1362, December.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Chunhui Chen & Zesen Peng & JiaYu Gu & Yaxiong Peng & Xiaoyang Huang & Li Wu, 2020. "Exploring Environmentally Friendly Biopolymer Material Effect on Soil Tensile and Compressive Behavior," IJERPH, MDPI, vol. 17(23), pages 1-13, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sheng Zhou & Alun Gu & Qing Tong & Yuefeng Guo & Xinyang Wei, 2022. "Multi‐scenario simulation on reducing CO2 emissions from China's major manufacturing industries targeting 2060," Journal of Industrial Ecology, Yale University, vol. 26(3), pages 850-861, June.
    2. Guangyue Xu & Dong Xue & Hafizur Rehman, 2022. "Dynamic scenario analysis of CO2 emission in China’s cement industry by 2100 under the context of cutting overcapacity," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 27(8), pages 1-40, December.
    3. Ofosu-Adarkwa, Jeffrey & Xie, Naiming & Javed, Saad Ahmed, 2020. "Forecasting CO2 emissions of China's cement industry using a hybrid Verhulst-GM(1,N) model and emissions' technical conversion," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).

    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:17:y:2020:i:16:p:5953-:d:399916. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.