数据密集范式与水文学的未来  

Hydrology future and data-intensive paradigm

作　　者：芮孝芳[1] RUI Xiaofang(College of Hydrology and Water Resources,Hohai University,Nanjing 210098,China)

机构地区：[1]河海大学水文水资源学院,江苏南京210098

出　　处：《水利水电科技进展》2018年第6期1-7,共7页Advances in Science and Technology of Water Resources

基　　金：国家重点研发计划(2016YFC0402706)

摘　　要：讨论了水文实验客观上的局限性及进一步发展的困难,论述了提升水文观测技术和方法的重要性及重点发展的若干方面。在分析科学研究数据密集范式产生背景及其强大生命力的基础上,指出水文学研究适合应用数据密集范式的理由,并提出了初步设想。呼吁水文学家应抓住机遇,在大力、深入发展水文遥感的同时,将发展数据水文学提上议事日程,摆到重要位置。展望未来,水文学将是在数据密集范式驱动下,物理水文学、随机水文学、仿真水文学和数据水文学相互补充、融合发展的水文学。The objective limitations and the difficulties of further development in hydrologic experiments are discussed.The importance of improving hydrologic survey techniques,methods and some key development aspects are also discussed.The reasons that the data-intensive paradigm is applicable to hydrology study are pointed out,and a tentative idea is suggested based on the analysis of the background of data-intensive paradigm in scientific research and its great vitality.Hydrologists are appealed to take the chance to put data hydrology on the agenda and in an important position,while at the same time,to develop hydrological remote sensing energetically and deeply.In the future,under the driving force of data-intensive paradigm,hydrology will be mutual complementation and integrative development with physical hydrology,random hydrology,simulation hydrology and data hydrology.

关 键 词：数据密集范式 物理水文学 随机水文学 仿真水文学 数据水文学 水文遥感 

分 类 号：TV147[水利工程—水力学及河流动力学]