Author(s): Jian Xu; Hua Chen
Linked Author(s): Jian Xu, Hua CHEN
Keywords: Big-data; HBase; Hydrological Data Sharing
Abstract: In this paper, the methodology of hydrological big-data standardization is discussed upon analyzing on the characteristics of hydrological data. Three main standards of hydrological data in China are considered in the standardization, which are respectively"Structure and identifier for real-time hydrological information database", "standard for structure and identifier in fundamental hydrological database"and"Structure and identifier for water quality database". Solutions on data pre-processing, data indexing and highly efficient data reading and writing are also introduced. The mass storage capacity and high speed computing capability of Hadoop are utilized for designing and implementing hydrological big-data sharing platform. Then a prototype of the hydrological big-data sharing platform is introduced in this article. Accordingly, the platform can be the technical support for information sharing and space integration between water conservancy industries and other industries, as well as the interdisciplinary sustainable development.
Year: 2018