eprintid: 1544034
rev_number: 31
eprint_status: archive
userid: 608
dir: disk0/01/54/40/34
datestamp: 2017-03-07 12:11:57
lastmod: 2021-10-18 22:27:48
status_changed: 2017-03-07 12:12:36
type: proceedings_section
metadata_visibility: show
creators_name: Shi, Y
creators_name: Taalab, K
creators_name: Cheng, T
title: Flood Prediction Using Support Vector Machines (SVM)
ispublished: pub
divisions: UCL
divisions: B04
divisions: C05
divisions: F44
keywords: Flooding, Support Vector Machines, River Flow, Rainfall
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.
date: 2016-04-01
date_type: published
publisher: GIS Research UK (GISRUK)
official_url: http://www.gre.ac.uk/ach/services/events/gisruk2016/home
oa_status: green
full_text_type: other
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 1212458
lyricists_name: Cheng, Tao
lyricists_id: TCHEN23
actors_name: Ndieyira, Joseph
actors_name: Laslett, David
actors_id: JWNDI09
actors_id: DLASL34
actors_role: owner
actors_role: impersonator
full_text_status: public
series: GIS Research UK (GISRUK) Conference
volume: 24
place_of_pub: London, UK
event_title: The 24th GIS Research UK (GISRUK) Conference (GISRUK2016)
event_location: London, UK
event_dates: 30 March 2017 - 01 April 2017
institution: GISRUK2016
book_title: Proceedings of the 24th GIS Research UK (GISRUK) Conference
citation:        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.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/1544034/1/Cheng_GISRUK_2016_paper_18%20Yu%20Shi.pdf