Skip to Main content Skip to Navigation
Journal articles

Regional watershed characterization and classification with river network analyses

Abstract : In order to understand and manage a hydrological region, one usually needs to comprehensively characterize the watersheds (basins) and their river networks. This usually and primarily involves analysis of hydrological and geomorphological properties of the watershed derived from the Digital Terrain Model (DTM), but this approach neglects the information content of the associated river networks. In this study, we used a combination of traditional DTM and original river network-related indices to the watersheds of an understudied region, Haiti. We also used Monte Carlo simulations to estimate index confidence levels of these indices. Compared to commonly used indices, the network indices provided valuable information that could then be used in statistical analyses as a way to identify the dominant features of the country's watershed morphology. On this basis, we identified four watershed groups in Haiti: (i) high, elongated watersheds, (ii) lowlands, with sinuous networks and relatively slow runoff, (iii) high watersheds with dendritic networks, and (iv) lowlands with high downstream-upstream contrast in properties and rapid runoffs. We argue that river network features provide complementary information in terms of flow topology, highly relevant to characterize contrasting relief countries, such as Haiti. Hence, more exhaustive characterization of watersheds would predictably benefit from the approach outlined in this paper.
Document type :
Journal articles
Complete list of metadata
Contributor : Archive Ouverte Prodinra <>
Submitted on : Thursday, July 12, 2018 - 8:10:13 PM
Last modification on : Monday, July 5, 2021 - 10:10:06 AM



Cedric Gaucherel, Romain Frelat, Ludovic Salomon, Bastien Rouy, Neha Pandey, et al.. Regional watershed characterization and classification with river network analyses. Earth Surface Processes and Landforms, Wiley, 2017, 42 (13), pp.2068-2081. ⟨10.1002/esp.4172⟩. ⟨hal-01837384⟩



Record views