Analysis of domestic sewage pollution based on weighted grey relational degree and GM(1,1) model
- DOI
- 10.2991/978-94-6463-316-0_33How to use a DOI?
- Keywords
- Domestic sewage; weighted grey relational degree; GM(1,1) model
- Abstract
Domestic sewage has always been one of the main causes of river pollution. In this paper, a weighted grey correlation model is established to judge the influence of many factors, including domestic sewage, on river pollution. In the process of establishing the model, the AHP analytic hierarchy process is used to calculate the weight of each influencing factor, and the consistency test is used to judge the feasibility of the weight. This paper also establishes a prediction model of domestic sewage discharge based on GM(1,1) model, the average prediction error of this model is only 0.43%, which proves the superiority of the prediction model.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Lidong Liu AU - Yantao He AU - Rongfu Wang AU - Sijia Liu AU - Rong Zhang AU - Yongbin Luo AU - Gengshu Zhang AU - Ziyu Chen PY - 2023 DA - 2023/12/14 TI - Analysis of domestic sewage pollution based on weighted grey relational degree and GM(1,1) model BT - Proceedings of the 2023 5th International Conference on Civil Engineering, Environment Resources and Energy Materials (CCESEM 2023) PB - Atlantis Press SP - 315 EP - 322 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-316-0_33 DO - 10.2991/978-94-6463-316-0_33 ID - Liu2023 ER -