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Key technologies of a distributed unstructured water resources big data system

Dunhui Xiao Orcid Logo, BaoQing Hu, ShiLun Zhang, JiaHai Liang, GuoCai Nong, ZhiXian Liu, RongYang Zhao, MeiXing Liu, ZhenHua Xu, Jin Tao, Kai Deng, Li Zhou, Xin Han

DESALINATION AND WATER TREATMENT, Volume: 122, Pages: 36 - 41

Swansea University Author: Dunhui Xiao Orcid Logo

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DOI (Published version): 10.5004/dwt.2018.22581

Abstract

In recent years, with the impact of climate change and human activities, the spatial and temporal distribution of water resources change significantly. Data storage, computing and analysis of water resources data have become increasingly difficult. The traditional data storage and management technol...

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Published in: DESALINATION AND WATER TREATMENT
Published: Desalination Publications 2018
Online Access: http://dx.doi.org/10.5004/dwt.2018.22581
URI: https://cronfa.swan.ac.uk/Record/cronfa47930
Abstract: In recent years, with the impact of climate change and human activities, the spatial and temporal distribution of water resources change significantly. Data storage, computing and analysis of water resources data have become increasingly difficult. The traditional data storage and management technology are very difficult to handle current water resources data. In this case, the big data technology is used to tackle this challenging water resources management issue in the social and economic development. This paper, for the first time, addresses three key issues of designing and implementing distributed water resources big data management system. The performance and advantages of water resources big data system are evident in terms of data access, computing and analysis speed.
College: Faculty of Science and Engineering
Start Page: 36
End Page: 41

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