IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v10y2018i6p1935-d151577.html
   My bibliography  Save this article

A Method for Monitoring Iron and Steel Factory Economic Activity Based on Satellites

Author

Listed:
  • Yi Zhou

    (Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China)

  • Fei Zhao

    (Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Shixin Wang

    (Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China)

  • Wenliang Liu

    (Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China)

  • Litao Wang

    (Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China)

Abstract

The Chinese government has promulgated a de-capacity policy for economic growth and environmental sustainability, especially for the iron and steel industry. With these policies, this study aimed to monitor the economic activities and evaluate the production conditions of an iron and steel factory based on satellites via Landsat-8 Thermal Infrared Sensor (TIRS) data and high-resolution images from January 2013 to October 2017, and propel next economic adjustment and environmental protection. Our methods included the construction of a heat island intensity index for an iron and steel factory (ISHII), a heat island radio index for an iron and steel factory (ISHRI) and a dense classifying approach to monitor the spatiotemporal changes of the internal heat field of an iron and steel factory. Additionally, we used GF-2 and Google Earth images to identify the main production area, detect facility changes to a factory that alters its heat field and verify the accuracy of thermal analysis in a specific time span. Finally, these methods were used together to evaluate economic activity. Based on five iron and steel factories in the Beijing-Tianjin-Hebei region, when the ISHII curve is higher than the seasonal changes in a time series, production is normal; otherwise, there is a shut-down or cut-back. In the spatial pattern analyses, the ISHRI is large in normal production and decreases when cut-back or shut-down occurs. The density classifying images and high-resolution images give powerful evidence to the above-mentioned results. Finally, three types of economic activities of normal production, shut-down or cut-back were monitored for these samples. The study provides a new perspective and method for monitoring the economic activity of an iron and steel factory and provides supports for sustainable development in China.

Suggested Citation

  • Yi Zhou & Fei Zhao & Shixin Wang & Wenliang Liu & Litao Wang, 2018. "A Method for Monitoring Iron and Steel Factory Economic Activity Based on Satellites," Sustainability, MDPI, vol. 10(6), pages 1-21, June.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:6:p:1935-:d:151577
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/10/6/1935/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/10/6/1935/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Doll, Christopher N.H. & Muller, Jan-Peter & Morley, Jeremy G., 2006. "Mapping regional economic activity from night-time light satellite imagery," Ecological Economics, Elsevier, vol. 57(1), pages 75-92, April.
    2. Mert, Mehmet Selçuk & Dilmaç, Ömer Faruk & Özkan, Semra & Karaca, Fatma & Bolat, Esen, 2012. "Exergoeconomic analysis of a cogeneration plant in an iron and steel factory," Energy, Elsevier, vol. 46(1), pages 78-84.
    3. André Martinuzzi & Vincent Blok & Alexander Brem & Bernd Stahl & Norma Schönherr, 2018. "Responsible Research and Innovation in Industry—Challenges, Insights and Perspectives," Sustainability, MDPI, vol. 10(3), pages 1-9, March.
    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. Fang Han & Fei Zhao & Fuxing Li & Xiaoli Shi & Qiang Wei & Weimiao Li & Wei Wang, 2023. "Improvement of Monitoring Production Status of Iron and Steel Factories Based on Thermal Infrared Remote Sensing," Sustainability, MDPI, vol. 15(11), pages 1-17, May.
    2. Caihong Ma & Xin Sui & Yi Zeng & Jin Yang & Yanmei Xie & Tianzhu Li & Pengyu Zhang, 2022. "Classification of Industrial Heat Source Objects Based on Active Fire Point Density Segmentation and Spatial Topological Correlation Analysis in the Beijing–Tianjin–Hebei Region," Sustainability, MDPI, vol. 14(18), pages 1-19, September.
    3. Caihong Ma & Jin Yang & Fu Chen & Yan Ma & Jianbo Liu & Xinpeng Li & Jianbo Duan & Rui Guo, 2018. "Assessing Heavy Industrial Heat Source Distribution in China Using Real-Time VIIRS Active Fire/Hotspot Data," Sustainability, MDPI, vol. 10(12), pages 1-17, November.
    4. Zhang, Rui & Qie, Xiaotong & Hu, Yanyong & Chen, Xue, 2022. "Does de-capacity policy promote the efficient and green development of the coal industry? –Based on the evidence of China," Resources Policy, Elsevier, vol. 77(C).
    5. Wengang Zhang & Feng Xu & Xuefeng Wang, 2020. "How Green Transformational Leadership Affects Green Creativity: Creative Process Engagement as Intermediary Bond and Green Innovation Strategy as Boundary Spanner," Sustainability, MDPI, vol. 12(9), pages 1-17, May.

    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. Corral, Leonardo R. & Schling, Maja, 2017. "The impact of shoreline stabilization on economic growth in small island developing states," Journal of Environmental Economics and Management, Elsevier, vol. 86(C), pages 210-228.
    2. Boslett, Andrew & Hill, Elaine & Ma, Lala & Zhang, Lujia, 2021. "Rural light pollution from shale gas development and associated sleep and subjective well-being," Resource and Energy Economics, Elsevier, vol. 64(C).
    3. Lehoux, P. & Miller, F.A. & Williams-Jones, B., 2020. "Anticipatory governance and moral imagination: Methodological insights from a scenario-based public deliberation study," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    4. Natalya Rybnikova & Boris Portnov, 2015. "Using light-at-night (LAN) satellite data for identifying clusters of economic activities in Europe," Letters in Spatial and Resource Sciences, Springer, vol. 8(3), pages 307-334, November.
    5. Mohammed Iddrisu Kambala, 2023. "Colonial Origins of Comparative Development in Ghana," Journal of Development Studies, Taylor & Francis Journals, vol. 59(2), pages 188-208, February.
    6. Nicolene Hamman & Andrew Phiri, 2022. "Using Nighttime Luminosity as a Proxy for Economic Growth in Africa: Is It a Bright Idea?," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 20(2 (Summer), pages 139-165.
    7. Prakash, Nishith & Rockmore, Marc & Uppal, Yogesh, 2019. "Do criminally accused politicians affect economic outcomes? Evidence from India," Journal of Development Economics, Elsevier, vol. 141(C).
    8. Denis Cogneau & Yannick Dupraz, 2014. "Questionable Inference on the Power of Pre-Colonial Institutions in Africa," PSE Working Papers halshs-01018548, HAL.
    9. De Luca, Giacomo & Hodler, Roland & Raschky, Paul A. & Valsecchi, Michele, 2018. "Ethnic favoritism: An axiom of politics?," Journal of Development Economics, Elsevier, vol. 132(C), pages 115-129.
    10. Shaikh Shamim Hasan & Xiangzheng Deng & Zhihui Li & Dongdong Chen, 2017. "Projections of Future Land Use in Bangladesh under the Background of Baseline, Ecological Protection and Economic Development," Sustainability, MDPI, vol. 9(4), pages 1-21, March.
    11. Chen, Lingen & Yang, Bo & Feng, Huijun & Ge, Yanlin & Xia, Shaojun, 2020. "Performance optimization of an open simple-cycle gas turbine combined cooling, heating and power plant driven by basic oxygen furnace gas in China's steelmaking plants," Energy, Elsevier, vol. 203(C).
    12. Liu, Yan & Yang, Jian & Wang, Jin & Cheng, Zhi-long & Wang, Qiu-wang, 2014. "Energy and exergy analysis for waste heat cascade utilization in sinter cooling bed," Energy, Elsevier, vol. 67(C), pages 370-380.
    13. Felbermayr, Gabriel & Gröschl, Jasmin & Sanders, Mark & Schippers, Vincent & Steinwachs, Thomas, 2018. "Shedding Light on the Spatial Diffusion of Disasters," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181556, Verein für Socialpolitik / German Economic Association.
    14. Asta Valackienė & Rafał Nagaj, 2021. "Shared Taxonomy for the Implementation of Responsible Innovation Approach in Industrial Ecosystems," Sustainability, MDPI, vol. 13(17), pages 1-21, September.
    15. Oier Imaz & Andoni Eizagirre, 2020. "Responsible Innovation for Sustainable Development Goals in Business: An Agenda for Cooperative Firms," Sustainability, MDPI, vol. 12(17), pages 1-20, August.
    16. Yali Wang & Haidong Yang & Kangkang Xu, 2020. "Thermal Performance Combined with Cooling System Parameters Study for a Roller Kiln Based on Energy-Exergy Analysis," Energies, MDPI, vol. 13(15), pages 1-31, July.
    17. Shao, Shuai & Zhang, Xuebin & Yang, Lili, 2023. "Natural resource dependence and urban shrinkage: The role of human capital accumulation," Resources Policy, Elsevier, vol. 81(C).
    18. Leonardo Bonilla-Mejía & Iván Higuera-Mendieta, 2017. "Political Alignment in the Time of Weak Parties: Electoral Advantages and Subnational Transfers in Colombia," Documentos de Trabajo Sobre Economía Regional y Urbana 15746, Banco de la República, Economía Regional.
    19. Brock, Gregory, 2015. "The informal economy of Rostov Oblast on the eve of the Ukrainian refugee crisis," Journal of Policy Modeling, Elsevier, vol. 37(5), pages 789-803.
    20. Aghaei, Ali Tavakkol & Saray, Rahim Khoshbakhti, 2021. "Optimization of a combined cooling, heating, and power (CCHP) system with a gas turbine prime mover: A case study in the dairy industry," Energy, Elsevier, vol. 229(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:jsusta:v:10:y:2018:i:6:p:1935-:d:151577. 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.