IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/5372566.html
   My bibliography  Save this article

Urban Ecological Planning Model Based on Information Entropy and Meteorological Suitability Evaluation Algorithm

Author

Listed:
  • Qiushi Xu
  • Jian G. Zhou

Abstract

In order to improve the effect of regional urban ecological planning and ecological restoration, aiming at the problem of low accuracy of ecological planning and poor matching with the current situation, taking Yucheng County, Shangqiu City, Henan Province as an example, an urban ecological planning model based on information entropy and meteorological suitability evaluation algorithm is designed. The geographical environment of Yucheng County, Shangqiu City, Henan Province is analyzed. Based on the current situation of regional ecological environment, the meteorological suitability evaluation algorithm is introduced to establish the urban ecological planning model. Comprehensively considering land planning factors and meteorological factors, calculate the information entropy of each influencing factor, determine the weight, and optimize the ecological planning model. The experimental results show that this method has achieved good results in the accuracy of ecological planning and the matching degree of the current situation in the urban ecological planning of Yucheng County, Shangqiu City, Henan Province.

Suggested Citation

  • Qiushi Xu & Jian G. Zhou, 2023. "Urban Ecological Planning Model Based on Information Entropy and Meteorological Suitability Evaluation Algorithm," Mathematical Problems in Engineering, Hindawi, vol. 2023, pages 1-11, January.
    • Handle: RePEc:hin:jnlmpe:5372566
    DOI: 10.1155/2023/5372566
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/mpe/2023/5372566.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/mpe/2023/5372566.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2023/5372566?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

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


    Cited by:

    1. Riera, Rodrigo & Fath, Brian D. & Herrera, Ada M. & Rodríguez, Ricardo A., 2024. "A strategic roadmap for interdisciplinary modeling in ecology: The result of reading ‘Defining an ecological equation of state: Response to Riera et al. 2023′ (Newman et al., 2023)," Ecological Modelling, Elsevier, vol. 490(C).

    More about this item

    Statistics

    Access and download statistics

    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:hin:jnlmpe:5372566. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.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.