IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i1p360-d305398.html
   My bibliography  Save this article

Dynamic Correlation Analysis Method of Air Pollutants in Spatio-Temporal Analysis

Author

Listed:
  • Yu-ting Bai

    (School of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, China
    Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology and Business University, Beijing 100048, China)

  • Xue-bo Jin

    (School of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, China
    Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology and Business University, Beijing 100048, China)

  • Xiao-yi Wang

    (School of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, China
    Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology and Business University, Beijing 100048, China)

  • Xiao-kai Wang

    (College of Physics and Electronic Engineering, Shanxi University, Taiyuan 030006, China)

  • Ji-ping Xu

    (School of Computer and Information Engineering, Beijing Technology and Business University, Beijing 100048, China
    Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology and Business University, Beijing 100048, China)

Abstract

Pollutant analysis and pollution source tracing are critical issues in air quality management, in which correlation analysis is important for pollutant relation modeling. A dynamic correlation analysis method was proposed to meet the real-time requirement in atmospheric management. Firstly, the spatio-temporal analysis framework was designed, in which the process of data monitoring, correlation calculation, and result presentation were defined. Secondly, the core correlation calculation method was improved with an adaptive data truncation and grey relational analysis. Thirdly, based on the general framework and correlation calculation, the whole algorithm was proposed for various analysis tasks in time and space, providing the data basis for ranking and decision on pollutant effects. Finally, experiments were conducted with the practical data monitored in an industrial park of Hebei Province, China. The different pollutants in multiple monitoring stations were analyzed crosswise. The dynamic features of the results were obtained to present the variational correlation degrees from the proposed and contrast methods. The results proved that the proposed dynamic correlation analysis could quickly acquire atmospheric pollution information. Moreover, it can help to deduce the influence relation of pollutants in multiple locations.

Suggested Citation

  • Yu-ting Bai & Xue-bo Jin & Xiao-yi Wang & Xiao-kai Wang & Ji-ping Xu, 2020. "Dynamic Correlation Analysis Method of Air Pollutants in Spatio-Temporal Analysis," IJERPH, MDPI, vol. 17(1), pages 1-19, January.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:1:p:360-:d:305398
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/1/360/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/1/360/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hanif Malekpoor & Konstantinos Chalvatzis & Nishikant Mishra & Mukesh Kumar Mehlawat & Dimitrios Zafirakis & Malin Song, 2018. "Integrated grey relational analysis and multi objective grey linear programming for sustainable electricity generation planning," Annals of Operations Research, Springer, vol. 269(1), pages 475-503, October.
    2. Danyang Guo & Jilai Yu & Mingfei Ban, 2018. "Security-Constrained Unit Commitment Considering Differentiated Regional Air Pollutant Intensity," Sustainability, MDPI, vol. 10(5), pages 1-27, May.
    3. Martha Bohorquez & Ramón Giraldo & Jorge Mateu, 2016. "Optimal sampling for spatial prediction of functional data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 25(1), pages 39-54, March.
    4. Juan Tang & Hong-lin Zhu & Zhi Liu & Fu Jia & Xiao-xue Zheng, 2019. "Urban Sustainability Evaluation under the Modified TOPSIS Based on Grey Relational Analysis," IJERPH, MDPI, vol. 16(2), pages 1-21, January.
    5. Yu-ting Bai & Xiao-yi Wang & Qian Sun & Xue-bo Jin & Xiao-kai Wang & Ting-li Su & Jian-lei Kong, 2019. "Spatio-Temporal Prediction for the Monitoring-Blind Area of Industrial Atmosphere Based on the Fusion Network," IJERPH, MDPI, vol. 16(20), pages 1-15, October.
    6. Hashemi, Seyed Hamid & Karimi, Amir & Tavana, Madjid, 2015. "An integrated green supplier selection approach with analytic network process and improved Grey relational analysis," International Journal of Production Economics, Elsevier, vol. 159(C), pages 178-191.
    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. Wongchai, Anupong & Jenjeti, Durga rao & Priyadarsini, A. Indira & Deb, Nabamita & Bhardwaj, Arpit & Tomar, Pradeep, 2022. "Farm monitoring and disease prediction by classification based on deep learning architectures in sustainable agriculture," Ecological Modelling, Elsevier, vol. 474(C).
    2. Emanoel L. R. Costa & Taiane Braga & Leonardo A. Dias & Édler L. de Albuquerque & Marcelo A. C. Fernandes, 2022. "Analysis of Atmospheric Pollutant Data Using Self-Organizing Maps," Sustainability, MDPI, vol. 14(16), pages 1-24, August.
    3. Tao Zhen & Lei Yan & Jian-lei Kong, 2020. "An Acceleration Based Fusion of Multiple Spatiotemporal Networks for Gait Phase Detection," IJERPH, MDPI, vol. 17(16), pages 1-17, August.
    4. Zifeng Liang, 2021. "Assessment of the Construction of a Climate Resilient City: An Empirical Study Based on the Difference in Differences Model," IJERPH, MDPI, vol. 18(4), pages 1-20, February.

    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. Davis-Sramek, Beth & Robinson, Jessica L. & Darby, Jessica L. & Thomas, Rodney W., 2020. "Exploring the differential roles of environmental and social sustainability in carrier selection decisions," International Journal of Production Economics, Elsevier, vol. 227(C).
    2. Surajit Bag & Shivam Gupta, 2017. "Antecedents of Sustainable Innovation in Supplier Networks: A South African Experience," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 18(3), pages 231-250, September.
    3. Eleonora Bottani & Piera Centobelli & Teresa Murino & Ehsan Shekarian, 2018. "A QFD-ANP Method for Supplier Selection with Benefits, Opportunities, Costs and Risks Considerations," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 17(03), pages 911-939, May.
    4. Dobos, Imre & Vörösmarty, Gyöngyi, 2019. "Inventory-related costs in green supplier selection problems with Data Envelopment Analysis (DEA)," International Journal of Production Economics, Elsevier, vol. 209(C), pages 374-380.
    5. Andreas Schiessl & Richard Müller & Rebekka Volk & Konrad Zimmer & Patrick Breun & Frank Schultmann, 2020. "Integrating site-specific environmental impact assessment in supplier selection: exemplary application to steel procurement," Journal of Business Economics, Springer, vol. 90(9), pages 1409-1457, November.
    6. S. Maryam Masoumi & Nima Kazemi & Salwa Hanim Abdul-Rashid, 2019. "Sustainable Supply Chain Management in the Automotive Industry: A Process-Oriented Review," Sustainability, MDPI, vol. 11(14), pages 1-30, July.
    7. Torky Althaqafi, 2023. "Environmental and Social Factors in Supplier Assessment: Fuzzy-Based Green Supplier Selection," Sustainability, MDPI, vol. 15(21), pages 1-17, November.
    8. Ioannidis, Alexis & Chalvatzis, Konstantinos J. & Li, Xin & Notton, Gilles & Stephanides, Phedeas, 2019. "The case for islands’ energy vulnerability: Electricity supply diversity in 44 global islands," Renewable Energy, Elsevier, vol. 143(C), pages 440-452.
    9. Morganti, Daniele & De Giovanni, Pietro, 2022. "Offshoring motivations driven by sustainability factors," Research in Transportation Economics, Elsevier, vol. 95(C).
    10. Xin Li & Konstantinos J. Chalvatzis & Phedeas Stephanides, 2018. "Innovative Energy Islands: Life-Cycle Cost-Benefit Analysis for Battery Energy Storage," Sustainability, MDPI, vol. 10(10), pages 1-19, September.
    11. Xiaowei Zeng & Xiaomei Yang & Shuai Zhong & Zhihua Wang & Yaxin Ding & Dan Meng & Ku Gao, 2023. "Comprehensive Evaluation of Resource and Environmental Carrying Capacity at a National Scale: A Case Study of Southeast Asia," Sustainability, MDPI, vol. 15(7), pages 1-32, March.
    12. Chandra Prakash Garg & Archana Sharma, 2020. "Sustainable outsourcing partner selection and evaluation using an integrated BWM–VIKOR framework," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(2), pages 1529-1557, February.
    13. Balezentis, Tomas & Streimikiene, Dalia & Mikalauskas, Ignas & Shen, Zhiyang, 2021. "Towards carbon free economy and electricity: The puzzle of energy costs, sustainability and security based on willingness to pay," Energy, Elsevier, vol. 214(C).
    14. Viola Tanto, 2016. "The International Company and Tax Avoidance," European Journal of Economics and Business Studies Articles, Revistia Research and Publishing, vol. 2, May - Aug.
    15. Muhammad Ishfaq Khan & Shahbaz Khalid & Umer Zaman & Ana Ercília José & Paulo Ferreira, 2021. "Green Paradox in Emerging Tourism Supply Chains: Achieving Green Consumption Behavior through Strategic Green Marketing Orientation, Brand Social Responsibility, and Green Image," IJERPH, MDPI, vol. 18(18), pages 1-24, September.
    16. Çağlar Karamaşa & Selçuk Korucuk & Mustafa Ergün, 2021. "Determining the Green Supplier Selection Criteria in Textile Enterprises and Selecting the Most Ideal Distribution Model: A Case Study of Giresun," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 9(2), pages 311-324, December.
    17. Koray Altintas & Ozalp Vayvay & Sinan Apak & Emine Cobanoglu, 2020. "An Extended GRA Method Integrated with Fuzzy AHP to Construct a Multidimensional Index for Ranking Overall Energy Sustainability Performances," Sustainability, MDPI, vol. 12(4), pages 1-21, February.
    18. Jia Guo & Shiyan Ma & Xiang Li, 2022. "Exploring the Differences of Sustainable Urban Development Levels from the Perspective of Multivariate Functional Data Analysis: A Case Study of 33 Cities in China," Sustainability, MDPI, vol. 14(19), pages 1-19, October.
    19. Lu Zhang & Shuang Zhao & Li Cui & Lin Wu, 2020. "Exploring Green Innovation Practices: Content Analysis of the Fortune Global 500 Companies," SAGE Open, , vol. 10(1), pages 21582440209, March.
    20. Mubarik, Muhammad Shujaat & Kazmi, Syed Hasnain Alam & Zaman, Syed Imran, 2021. "Application of gray DEMATEL-ANP in green-strategic sourcing," Technology in Society, Elsevier, vol. 64(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:1:p:360-:d:305398. 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.