The future of water science data:empowering national water security
Peng Jing
Abstract：Driven by big data and intelligent technologies,the paradigm of scientific research and the paths of technological development are rapidly evolving toward a data-driven approach.It is both necessary and urgent to promote the innovative development of water science data,accelerate the construction of a water science data system,and address challenges such as data integration and unification,quantity and quality,storage and management,analysis and application,policies and institutions,and interdisciplinary collaboration.The national water network,as a networked infrastructure and integrated carrier,ensures national water security.It is a complex giant system characterized by multiple attributes,multi-level structures,multi-dimensional carriers,diverse functions,and multi-level management.To meet the requirements of safe,green,intelligent,and integrated development,water science data and knowledge are indispensable.In the context of rapid advancements in next-generation information technologies,particularly artificial intelligence,and their deep integration with industry development,these elements will mutually enhance and reinforce each other.In practice,water science data has demonstrated a significant multiplier effect in the high-quality construction and development of the national water network and has accumulated rapidly and extensively.Accelerating the construction of a water science data system is an inevitable trend for harnessing and aggregating the new quality and productivity of data elements,empowering national water security,and driving new development momentum.It is also essential for high-level open cooperation,advancing the innovative development of internationally leading water science data,and actively participating in global water governance.This paper discusses the background in which water science data supports and empowers national water security,summarizes practical achievements in water allocation,disaster prevention,water engineering construction and operation,and ecological protection,and proposes the development positioning and technical pathways for constructing a water science data system.These include optimizing water resource allocation,flood control and disaster reduction in river basins,water engineering construction and safety operation,and water ecosystem protection and governance.
Keywords：water science datadigital intelligence technologynational water networkwater securitywater science data systemdata-driven
Publication Date：2024-12-12
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 1-6 )