Proceedings of the 2024 10th International Conference on Architectural, Civil and Hydraulic Engineering (ICACHE 2024)

Analysis of County Industrial Water Demand Forecast Based on the GM(1,1) Model

Authors
Bingbing Zhou1, Qingjun Du2, *, Mingqi Sang2, Xinchao Qi2
1Agriculture and Rural Bureau of Qiantang District, Hangzhou, China
2Zhejiang Keteng Engineering Consulting Co., LTD., Hangzhou, China
*Corresponding author. Email: ugrr1u1@dingtalk.com
Corresponding Author
Qingjun Du
Available Online 3 March 2025.
DOI
10.2991/978-94-6463-658-1_49How to use a DOI?
Keywords
Water resources; Industry classification; Industrial water demand
Abstract

Water resources are a fundamental strategic resource and the basis for national economic and industrial development. This paper conducts a county-level industrial water demand forecast, (Using Qiantang District as a case study). Based on survey data, the industries within the county are categorized, and the industrial water demand is analyzed by sector and administrative region using the GM(1,1) model. This analysis provides a critical technical foundation for future water resource management and water efficiency improvements.

Copyright
© 2025 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.

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Volume Title
Proceedings of the 2024 10th International Conference on Architectural, Civil and Hydraulic Engineering (ICACHE 2024)
Series
Advances in Engineering Research
Publication Date
3 March 2025
ISBN
978-94-6463-658-1
ISSN
2352-5401
DOI
10.2991/978-94-6463-658-1_49How to use a DOI?
Copyright
© 2025 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  - Bingbing Zhou
AU  - Qingjun Du
AU  - Mingqi Sang
AU  - Xinchao Qi
PY  - 2025
DA  - 2025/03/03
TI  - Analysis of County Industrial Water Demand Forecast Based on the GM(1,1) Model
BT  - Proceedings of the 2024 10th International Conference on Architectural, Civil and Hydraulic Engineering (ICACHE 2024)
PB  - Atlantis Press
SP  - 485
EP  - 492
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-658-1_49
DO  - 10.2991/978-94-6463-658-1_49
ID  - Zhou2025
ER  -