Research Article
SWAT Hydrological Model and Big Data Techniques
@INPROCEEDINGS{10.1007/978-3-319-72823-0_9, author={Xi Guo and Biao Wang and Wei Xiong and Shisheng Jin}, title={SWAT Hydrological Model and Big Data Techniques}, proceedings={5G for Future Wireless Networks. First International Conference, 5GWN 2017, Beijing, China, April 21-23, 2017, Proceedings}, proceedings_a={5GWN}, year={2018}, month={1}, keywords={Hydro-meteorological model Big data SWAT model Forecasting model}, doi={10.1007/978-3-319-72823-0_9} }- Xi Guo
Biao Wang
Wei Xiong
Shisheng Jin
Year: 2018
SWAT Hydrological Model and Big Data Techniques
5GWN
Springer
DOI: 10.1007/978-3-319-72823-0_9
Abstract
Meteorological and hydrological data includes a wide range of items with complex format and large scale. In the era of big data, it brings great opportunities and challenges to meteorology and hydrology services. Because isolated information resources and industry data barriers bring incomplete data parameters, which makes the hydrological model simulate inaccurately. This paper mainly discusses the application of big data technology in Hydro-Meteorological industry. Firstly, it introduces the background and principal of hydrological SWAT model. Secondly, this paper proceeds the SWAT simulation and estimates runoff prediction of WangMo river in GuiZhou province, and analyzes simulation results. Finally, it proposes a big data platform architecture design combines with SWAT hydrological model as future research direction. Big data platform will provide libraries of integrated model, method, component, knowledge database for Hydro-Meteorological resources management. It also offers decision-making for flood control, water shortage, water pollution incidents.
