IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/4141085.html
   My bibliography  Save this article

Forecasting of Wastewater Discharge and the Energy Consumption in China Based on Grey Model

Author

Listed:
  • ZhenHua Li
  • ZhiHong Zou
  • Yang Yu

Abstract

Water pollution control is currently an important development strategy for China. Analysis and forecasting of wastewater discharge and the energy consumption are critical for this strategy. In this paper, we proposed the two time series models, namely, improved GM(0,n) model (IGM(0,n)) and optimized FGM(1,1) model (OFGM(1,1)). Two numerical experiments were used to test the validity of these models. It was indicated that the forecasting ability of two models had remarkably improved, compared to traditional FGM(1,1) and GM(0,n), respectively. We applied the two models to forecast wastewater discharge and energy consumption in China. The forecasting results have shown that the current growth rate in treated wastewater could meet the planning target of the 13th Five-Year Plan. The wastewater discharge and the energy consumption would reach 77.39 billion tons and 22.75 billion kWh, respectively, in 2020.

Suggested Citation

  • ZhenHua Li & ZhiHong Zou & Yang Yu, 2019. "Forecasting of Wastewater Discharge and the Energy Consumption in China Based on Grey Model," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-9, March.
    • Handle: RePEc:hin:jnlmpe:4141085
    DOI: 10.1155/2019/4141085
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2019/4141085.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/MPE/2019/4141085.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2019/4141085?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. Ruan, Fang-Li & Yan, Liang, 2022. "Interactions among electricity consumption, disposable income, wastewater discharge, and economic growth: Evidence from megacities in China from 1995 to 2018," Energy, Elsevier, vol. 260(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:4141085. 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.