TY  - GEN
KW  - Flooding
KW  -  Support Vector Machines
KW  -  River Flow
KW  -  Rainfall
T3  - GIS Research UK (GISRUK) Conference
A1  - Shi, Y
A1  - Taalab, K
A1  - Cheng, T
CY  - London, UK
PB  - GIS Research UK (GISRUK)
UR  - http://www.gre.ac.uk/ach/services/events/gisruk2016/home
ID  - discovery1544034
N2  - 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.
AV  - public
Y1  - 2016/04/01/
TI  - Flood Prediction Using Support Vector Machines (SVM)
ER  -