Forthcoming and Online First Articles

International Journal of Environment and Pollution

International Journal of Environment and Pollution (IJEP)

Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

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International Journal of Environment and Pollution (2 papers in press)

Regular Issues

  • Comprehensive effectiveness evaluation of river chief system based on DEMATEL-CRITIC-TOPSIS model   Order a copy of this article
    by Lijia Huang, Deshan Tang 
    Abstract: This paper mainly studied the effectiveness of the River Chief System in Jiangsu Province. Based on the basic tasks of river and lake treatment and the mechanism of social public participation, a set of evaluation systems consisting of 7 criteria layers and 32 indicators were constructed. The DEMATEL-CRITIC-TOPSIS comprehensive evaluation model was adopted. This paper evaluated and analyzed the implementation effect of the River Chief System in Jiangsu Province from 2017 to 2022. The results show that: the DEMATEL-CRITIC-TOPSIS model can effectively assess the implementation effect of the River Chief System. The overall impact of the RCS in Jiangsu Province has reached a good level, and there is still a lot of room for progress. The analysis showed that the overall trend of changes in Jiangsu's river chief system work from 2017 to 2022 was an upward one, which was consistent with the actual situation and reflected the applicability of the model.
    Keywords: river chief system; evaluation system; DEMATEL-CRITIC-TOPSIS model.
    DOI: 10.1504/IJEP.2024.10067986
     
  • Application of U-Net Remote Sensing Data in Ecological Landscape Restoration Planning and Pollution Prevention   Order a copy of this article
    by Jiaxin Li, Bonhak Koo 
    Abstract: Traditional ecological landscape restoration planning and pollution prevention rely on limited field surveys and sample data, making it difficult to comprehensively obtain large-scale ecological landscape information, resulting in limited spatial resolution and accuracy of ecological landscape information The U-Net model was utilized to analyze remote sensing (RS) data, identify different types of ground object, and monitor pollution sources in the environment, in order to guide remediation plans and actively take pollution prevention measures A large amount of RS image data was obtained through Landsat satellite imagery, and the RS data was preprocessed to improve data quality The U-Net model was used to classify landscape ground objects; Autoencoder was used to detect abnormal regions in the classification results of ground objects; support vector machine was used to classify pollution sources.
    Keywords: Ecological Landscape; Restoration Planning; Pollution Prevention; Remote Sensing Data; U-Net Model; Abnormal Area Detection.

 

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