Overview of Research Progress on Water Conservancy Big Data in China
- DOI
- 10.2991/978-94-6463-656-7_5How to use a DOI?
- Keywords
- Water Conservancy Big Data; Water Resource Management; Data Security; Technological Innovation Informatization
- Abstract
Water conservancy big data refers to a technical means in the water conservancy industry that collects, stores, processes, and analyses massive amounts of data to reveal the laws of water resource utilization, water conservancy engineering operation, water disaster prevention and control, and provide scientific basis for water conservancy management and decision-making. This article reviews the research progress of water conservancy big data in China, analyzes the current application status, challenges, and future development trends of big data technology in the field of water conservancy. By reviewing existing literature, this paper explores how big data technology can assist in water conservancy informatization and intelligent management, as well as the future development prospects in areas such as further intelligence and digitization of water conservancy, data privacy and security, technology integration and innovation, talent cultivation and cooperation mechanisms, and regulatory and policy support.
- 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 - Xi He AU - Mingchao Zhang PY - 2025 DA - 2025/02/28 TI - Overview of Research Progress on Water Conservancy Big Data in China BT - Proceedings of 2024 4th International Conference on Public Management and Big Data Analysis (PMBDA 2024) PB - Atlantis Press SP - 38 EP - 46 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-656-7_5 DO - 10.2991/978-94-6463-656-7_5 ID - He2025 ER -