A novel flood defense decision support system for smart urban management based on classification and regression tree Online publication date: Mon, 01-Oct-2018
by Guanlin Chen; Taimeng Yang; Rui Huang; Zhuoyue Zhu
International Journal of Security and Networks (IJSN), Vol. 13, No. 4, 2018
Abstract: With the development of the internet of things technology and awareness technology, all kinds of big data in the city have started to emerge. Under the background in internet plus era, using big data to effectively forecast urban flood disaster, formulating the flood control and disaster mitigation countermeasures in time, is an important subject of urban flood control and research. In this paper, a novel flood defense decision support system (NFDDSS) is proposed. Using historical hydrology data in Hangzhou, this paper proposed a comprehensive consideration of time correlation and spatial correlation of water level prediction model based on classification and regression tree. This model can predict the water level in one to six hours effectively. With this system, supervisors can get timely and effective guidance of flood control and disaster mitigation when the flood season comes.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Security and Networks (IJSN):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook