caa a22 4500 606229426 CHVBK 20210128101209.0 cr unu---uuuuu 210128e20150401xx s 000 0 eng 10.1007/s10796-013-9466-1 doi (NATIONALLICENCE)springer-10.1007/s10796-013-9466-1 An integrated information system for snowmelt flood early-warning based on internet of things [Elektronische Daten] [Shifeng Fang, Lida Xu, Yunqiang Zhu, Yongqiang Liu, Zhihui Liu, Huan Pei, Jianwu Yan, Huifang Zhang] 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. Springer Science+Business Media New York, 2013 Snowmelt flood early-warning nationallicence Integrated information system nationallicence Internet of things nationallicence Geoinformatics nationallicence e-Science nationallicence Cloud services nationallicence Fang Shifeng State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 100101, Beijing, China aut Xu Lida Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 100080, China aut Zhu Yunqiang State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 100101, Beijing, China aut Liu Yongqiang College of Resources and Environment Science, Xinjiang University, 830046, Urumqi, China aut Liu Zhihui College of Resources and Environment Science, Xinjiang University, 830046, Urumqi, China aut Pei Huan College of Information Science and Engineering, Yanshan University, 066004, Qinhuangdao, China aut Yan Jianwu State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 100101, Beijing, China aut Zhang Huifang State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 100101, Beijing, China aut Information Systems Frontiers Springer US; http://www.springer-ny.com 17/2(2015-04-01), 321-335 1387-3326 17:2<321 2015 17 10796 https://doi.org/10.1007/s10796-013-9466-1 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10796-013-9466-1 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Fang Shifeng State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 100101, Beijing, China aut NATIONALLICENCE 700 1- Xu Lida Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 100080, China aut NATIONALLICENCE 700 1- Zhu Yunqiang State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 100101, Beijing, China aut NATIONALLICENCE 700 1- Liu Yongqiang College of Resources and Environment Science, Xinjiang University, 830046, Urumqi, China aut NATIONALLICENCE 700 1- Liu Zhihui College of Resources and Environment Science, Xinjiang University, 830046, Urumqi, China aut NATIONALLICENCE 700 1- Pei Huan College of Information Science and Engineering, Yanshan University, 066004, Qinhuangdao, China aut NATIONALLICENCE 700 1- Yan Jianwu State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 100101, Beijing, China aut NATIONALLICENCE 700 1- Zhang Huifang State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, 100101, Beijing, China aut NATIONALLICENCE 773 0- Information Systems Frontiers Springer US; http://www.springer-ny.com 17/2(2015-04-01), 321-335 1387-3326 17:2<321 2015 17 10796