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

Shifeng Fang (), Lida Xu (), Yunqiang Zhu (), Yongqiang Liu (), Zhihui Liu (), Huan Pei (), Jianwu Yan () and Huifang Zhang ()
Additional contact information
Shifeng Fang: Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
Lida Xu: Institute of Computing Technology, Chinese Academy of Sciences
Yunqiang Zhu: Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
Yongqiang Liu: Xinjiang University
Zhihui Liu: Xinjiang University
Huan Pei: Yanshan University
Jianwu Yan: Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
Huifang Zhang: Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences

Information Systems Frontiers, 2015, vol. 17, issue 2, No 6, 335 pages

Abstract: Abstract 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.

Keywords: Snowmelt flood early-warning; Integrated information system; Internet of things; Geoinformatics; e-Science; Cloud services (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (14)

Downloads: (external link)
http://link.springer.com/10.1007/s10796-013-9466-1 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:infosf:v:17:y:2015:i:2:d:10.1007_s10796-013-9466-1

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10796

DOI: 10.1007/s10796-013-9466-1

Access Statistics for this article

Information Systems Frontiers is currently edited by Ram Ramesh and Raghav Rao

More articles in Information Systems Frontiers from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().