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Journal article 867 views

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
first_indexed 2018-12-11T14:07:34Z
last_indexed 2024-11-14T11:56:20Z
id cronfa47930
recordtype SURis
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spelling 2023-06-02T15:13:48.8307083 v2 47930 2018-12-11 Key technologies of a distributed unstructured water resources big data system 62c69b98cbcdc9142622d4f398fdab97 0000-0003-2461-523X Dunhui Xiao Dunhui Xiao true false 2018-12-11 ACEM 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. Journal Article DESALINATION AND WATER TREATMENT 122 36 41 Desalination Publications 1 8 2018 2018-08-01 10.5004/dwt.2018.22581 http://dx.doi.org/10.5004/dwt.2018.22581 COLLEGE NANME Aerospace, Civil, Electrical, and Mechanical Engineering COLLEGE CODE ACEM Swansea University 2023-06-02T15:13:48.8307083 2018-12-11T10:33:17.5945575 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Aerospace Engineering Dunhui Xiao 0000-0003-2461-523X 1 BaoQing Hu 2 ShiLun Zhang 3 JiaHai Liang 4 GuoCai Nong 5 ZhiXian Liu 6 RongYang Zhao 7 MeiXing Liu 8 ZhenHua Xu 9 Jin Tao 10 Kai Deng 11 Li Zhou 12 Xin Han 13
title Key technologies of a distributed unstructured water resources big data system
spellingShingle Key technologies of a distributed unstructured water resources big data system
Dunhui Xiao
title_short Key technologies of a distributed unstructured water resources big data system
title_full Key technologies of a distributed unstructured water resources big data system
title_fullStr Key technologies of a distributed unstructured water resources big data system
title_full_unstemmed Key technologies of a distributed unstructured water resources big data system
title_sort Key technologies of a distributed unstructured water resources big data system
author_id_str_mv 62c69b98cbcdc9142622d4f398fdab97
author_id_fullname_str_mv 62c69b98cbcdc9142622d4f398fdab97_***_Dunhui Xiao
author Dunhui Xiao
author2 Dunhui Xiao
BaoQing Hu
ShiLun Zhang
JiaHai Liang
GuoCai Nong
ZhiXian Liu
RongYang Zhao
MeiXing Liu
ZhenHua Xu
Jin Tao
Kai Deng
Li Zhou
Xin Han
format Journal article
container_title DESALINATION AND WATER TREATMENT
container_volume 122
container_start_page 36
publishDate 2018
institution Swansea University
doi_str_mv 10.5004/dwt.2018.22581
publisher Desalination Publications
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Aerospace Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Aerospace Engineering
url http://dx.doi.org/10.5004/dwt.2018.22581
document_store_str 0
active_str 0
description 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.
published_date 2018-08-01T04:32:39Z
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score 11.096027

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