How can big data be used to reduce uncertainty in stormwater modelling?
Chahinian, N. ; Piat Marchand, A.L. ; Teisseire, M. ; Boulogne, E. ; Deruelle, L. ; Derras, M. ; Delenne, C.
Type de document
Communication scientifique avec actes
Langue
Anglais
Affiliation de l'auteur
IRD HSM FRA ; UNIVERSITE DE MONTPELLIER II UMR 5506 LIRMM MONTPELLIER FRA ; IRSTEA MONTPELLIER UMR TETIS FRA ; UNIVERSITE MONTPELLIER HSM FRA ; BERGER LEVRAULT FRA ; BERGER LEVRAULT FRA ; UNIVERSITE MONTPELLIER HSM FRA
Année
2016
Résumé / Abstract
Buried utility networks are often not fully documented and inaccurate positioning of network elements may impact hydraulic modelling applications. This study aims to put forward a methodology to extract network characteristics from data that is posted on the web or is available through sector specific databases, using heterogeneous text scrapping methods.
Congrès
Accuracy 2016, 05/07/2016 - 08/07/2016, Montpellier, FRA
Editeur
International Spatial Accuracy Research Association (ISARA)
