A GIS-based Urban and Peri-urban Landscape Representation Toolbox for Hydrological Distributed Modeling - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Accéder directement au contenu
Article Dans Une Revue Environmental Modelling and Software Année : 2017

A GIS-based Urban and Peri-urban Landscape Representation Toolbox for Hydrological Distributed Modeling

Une boite à outils SIG pour la représentation des paysages périurbains pour les modèles hydrologiques distribués

Résumé

Flowpaths are significantly affected by land use change and engineered elements across urban catchments. Conventional GIS-based tools for extracting drainage networks were not developed for urban terrains. This work presents Geo-PUMMA, a GIS toolbox to generate vectorial meshes for terrain representation in distributed hydrological modeling, and to extract drainage patterns in urban and peri-urban catchments. Geo-PUMMA generates well-shaped Hydrological Response Units (HRUs) and Urban Hydrological Elements (UHEs). The toolbox was used in peri-urban catchments of Chile and France to generate three model meshes with different levels of treatment, and extract and compare their corresponding drainage networks. A recommended mesh is identified, which replicates the main morphological and hydrological features of the reference drainage network, and is able to preserve features at small to medium spatial scales (~ 80 - 150 m). Overall Geo-PUMMA can be used to represent the terrain in distributed hydrological modeling applied to urban and peri-urban scales.
Fichier principal
Vignette du fichier
ly2017-pub00055666.pdf (3.69 Mo) Télécharger le fichier
Origine : Accord explicite pour ce dépôt
Loading...

Dates et versions

hal-01826273 , version 1 (29-06-2018)

Identifiants

Citer

P. Sanzana, J. Gironas, Isabelle Braud, F. Branger, F. Rodriguez, et al.. A GIS-based Urban and Peri-urban Landscape Representation Toolbox for Hydrological Distributed Modeling. Environmental Modelling and Software, 2017, 91, pp.168-187. ⟨10.1016/j.envsoft.2017.01.022⟩. ⟨hal-01826273⟩

Collections

IRSTEA UNAM INRAE
72 Consultations
270 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More