水文学与“大数据”  

Hydrology and big data

作　　者：芮孝芳[1] 

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》2016年第3期1-4,共4页Advances in Science and Technology of Water Resources

基　　金：国家自然科学重点基金(41430855)

摘　　要：论述了"大数据"方法的特点和优势,即用密集的数据替代数学公式来精细地表达水文现象的时空变化或微分方程的解,讨论了水文学需要"大数据"方法的理由,以及获取水文大数据的技术支撑。认为"大数据"方法可能引发科学思维方法的创新,可能成为解决水文学一些困难问题的途径之一。The characteristics and advantages of the big data method are discussed in this paper. In the method, mathematical formulas are replaced by intensive data in order to precisely describe the temporal and spatial variation of hydrological phenomena or the solution of a differential equation. The reasons why hydrology needs big data and technical support for obtaining hydrological big data are also discussed. The big data method may inspire the innovation of scientific thinking and become a way of solving complex problems in hydrology.

关 键 词：大数据 水文学 还原论 空间分布 无人机遥感 

分 类 号：P333[天文地球—水文科学]