Research on Correlation Between Industrial Water Consumption and Economic Benefit Based on Frequency Analysis and Principal Component Analysis
- DOI
- 10.2991/978-94-6463-658-1_48How to use a DOI?
- Keywords
- Water consumption; Industrial added value; Principal component analysis
- Abstract
Water is a basic natural and strategic economic resource, and is an important material basis for economic and social development. In this paper, the water consumption and industrial added value of key water industries within the county area (Qiantang District is selected as the research object) are investigated and counted. The frequency analysis method and principal component analysis method were used to analyze the industry benchmark value and influencing factors of water efficiency evaluation index (added value of unit water consumption), and put forward the countermeasures to improve industrial water efficiency. It will provide a theoretical basis and reference for the subsequent water resources management of key water use industries.
- 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 - Kanghui Xu AU - Dandong Cen AU - Wensheng Fu PY - 2025 DA - 2025/03/03 TI - Research on Correlation Between Industrial Water Consumption and Economic Benefit Based on Frequency Analysis and Principal Component Analysis BT - Proceedings of the 2024 10th International Conference on Architectural, Civil and Hydraulic Engineering (ICACHE 2024) PB - Atlantis Press SP - 476 EP - 484 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-658-1_48 DO - 10.2991/978-94-6463-658-1_48 ID - Zhou2025 ER -