Shi, Y;
Taalab, K;
Cheng, T;
(2016)
Flood Prediction Using Support Vector Machines (SVM).
In:
Proceedings of the 24th GIS Research UK (GISRUK) Conference.
GIS Research UK (GISRUK): London, UK.
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Abstract
Flooding is a destructive phenomenon that can risk human life, damage homes and have huge economic impacts. To plan and implement effective mitigation strategies, it is necessary to predict when and where flooding will occur. Based on a combination of rain gauge and river discharge measurement taken from the River Don catchment, UK this study proposes a Support Vector Machine (SVM) based approach to predicting river. The purpose of this work is to show the potential of the SVM method for predicting future flood events.
| Type: | Proceedings paper |
|---|---|
| Title: | Flood Prediction Using Support Vector Machines (SVM) |
| Event: | The 24th GIS Research UK (GISRUK) Conference (GISRUK2016) |
| Location: | London, UK |
| Dates: | 30 March 2017 - 01 April 2017 |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | http://www.gre.ac.uk/ach/services/events/gisruk201... |
| Language: | English |
| Keywords: | Flooding, Support Vector Machines, River Flow, Rainfall |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1544034 |
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