Your Location：
Home >
Browse articles >
Study on Carbon Emission of Oily Wastewater Treatment Mode in Railway Stations
Environmental Engineering | Updated：2024-09-20
Previous|Next

    • Study on Carbon Emission of Oily Wastewater Treatment Mode in Railway Stations

    • CHEN Zuoyun , CHAI Yuxi , YAO Hong
    • Railway Standard Design Vol. 68, Issue 9, Pages: 216-220(2024)

    • DOI： 10.13238/j.issn.1004-2954.202303070009     

      CLC：

    • Revised：2023-04-12 ，

    Scan QR Code

  •  
  •  

  • Full Text(HTML)

  • Figs( 3 ) Tabs( 3 )

  • References

  • Publication Info

  • Metrics

Sections
icon
The trial reading is over, you can activate your VIP account to continue reading.
Deactivate >
icon
The trial reading is over. You can log in to your account, go to the personal center, purchase VIP membership, and read the full text.
Already a VIP member?
Log in >

35

Views

28

Downloads

0

CSCD

Alert me when the article has been cited
Submit
Tools
  • BibTeXDownload
  • EndnoteDownload
  • RefMan Download
  • NoteExpressDownload
  • NoteFirstDownload

Related Articles

Carbon Emissions and Environmental Impacts in Construction of Different Types of Railway Bridges
Research on Carbon Emission Characteristics and Emission Reduction Potential of Railway Transport in Beijing-Tianjin-Hebei Region
Research on Carbon Emission Intensity and Reduction Potentials of Urban Rail Transit Life Cycle
Implementation Evaluation of Intercity and Urban（Suburban）Railway Planning in Yangtze River Delta Region
Study on Precision of Delivery Standards for Intelligent Review of Railway Station Yards

Related Author

LYU Xiangru
DING Guoyu
WANG Jin
HAN Jingrui
LI Yaqi
SHI Jianguo
QIANG Yan
ZHAO Yifan

Related Institution

School of Environment, Beijing Jiaotong University
Beijing Key Laboratory of Aqueous Typical Pollutants Control and Water Quality Safeguard, Beijing Jiaotong University
School of Environmental and Municipal Engineering, Xi'an University of Architecture and Technology
China Academy of Railway Sciences Co., Ltd.
Intelligent Environment Research Center, Beijing Jiaotong University