An integrated information system for snowmelt flood early-warning based on internet of things

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• 作者：Shifeng Fang (1)
  Lida Xu (2) (3)
  Yunqiang Zhu (1)
  Yongqiang Liu (4) (5)
  Zhihui Liu (4) (5)
  Huan Pei (6)
  Jianwu Yan (1)
  Huifang Zhang (1)
  
  1. State Key Laboratory of Resources and Environmental Information System ; Institute of Geographic Sciences and Natural Resources Research ; Chinese Academy of Sciences ; Beijing ; 100101 ; China
  2. Institute of Computing Technology ; Chinese Academy of Sciences ; Beijing ; 100080 ; China
  3. Department of Information Technology and Decision Sciences ; Old Dominion University ; Norfolk ; VA ; 23529 ; USA
  4. College of Resources and Environment Science ; Xinjiang University ; Urumqi ; 830046 ; China
  5. Oasis Ecology Key Laboratory of Ministry of Education and Xinjiang Uygur Autonomous Region ; Xinjiang University ; Urumqi ; 830046 ; China
  6. College of Information Science and Engineering ; Yanshan University ; Qinhuangdao ; 066004 ; China
  
• 关键词：Snowmelt flood early ; warning ; Integrated information system ; Internet of things ; Geoinformatics ; e ; Science ; Cloud services
• 刊名：Information Systems Frontiers
• 出版年：2015
• 出版时间：April 2015
• 年：2015
• 卷：17
• 期：2
• 页码：321-335
• 全文大小：2,764 KB
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• 刊物类别：Business and Economics
• 刊物主题：Economics
  Business Information Systems
  Management of Computing and Information Systems
  Systems Theory and Control
  Operation Research and Decision Theory
  
• 出版者：Springer Netherlands
• ISSN：1572-9419

文摘

Floods and water resource management are major challenges for human in present and the near future, and snowmelt floods which usually break out in arid or semi-arid regions often cause tremendous social and economic losses, and integrated information system (IIS) is valuable to scientific and public decision-making. This paper presents an integrated approach to snowmelt floods early-warning based on geoinformatics (i.e. remote sensing (RS), geographical information systems (GIS) and global positioning systems (GPS)), Internet of Things (IoT) and cloud services. It consists of main components such as infrastructure and devices in IoT, cloud information warehouse, management tools, applications and services, the results from a case study shows that the effectiveness of flood prediction and decision-making can be improved by using the IIS. The prototype system implemented in this paper is valuable to the acquisition, management and sharing of multi-source information in snowmelt flood early-warning even in other tasks of water resource management. The contribution of this work includes developing a prototype IIS for snowmelt flood early-warning in water resource management with the combination of IoT, Geoinformatics and Cloud Service, with the IIS, everyone could be a sensor of IoT and a contributor of the information warehouse, professional users and public are both servers and clients for information management and services. Furthermore, the IIS provides a preliminary framework of e-Science in resources management and environment science. This study highlights the crucial significance of a systematic approach toward IISs for effective resource and environment management.