Näytä suppeat kuvailutiedot

Basin-wide hydromorphological analysis of ephemeral streams using machine learning algorithms‡

Benito Gerardo; Rabanaque Maria Pilar; Calle Mikel; Martínez-Fernández Vanesa

dc.contributor.authorBenito Gerardo
dc.contributor.authorRabanaque Maria Pilar
dc.contributor.authorCalle Mikel
dc.contributor.authorMartínez-Fernández Vanesa
dc.date.accessioned2022-10-28T13:12:35Z
dc.date.available2022-10-28T13:12:35Z
dc.identifier.urihttps://www.utupub.fi/handle/10024/163587
dc.description.abstract<p>Sustainable river management now encompasses a much wider concept that includes hydromorphological and fluvial habitat studies. In ephemeral streams, the geomorphological characterization of channels is complex due to episodic flows and riparian vegetation dynamics. Stream channel survey and classification at the watershed scale provide the basis for geomorphological conservation, process interpretation, assessing sensitivity to disturbance, and identifying reaches that supply and store sediment. Here, we present a stream classification based on a two-step approach: (1) automatic river segmentation based on spatial variability in channel/valley morphology from topographic measurements (LiDAR, light, detection and ranging), and (2) fluvial landform and vegetation density mapping derived from multispectral open-source satellite images (Sentinel-2) using support vector machine (SVM) and Random Forest (RF) algorithms. These analyses provide continuous, quantitative spatial values of geometric (channel/valley width, slope gradient, and route distance), landform (active channel and gravel bars with five densities of vegetation cover), and hydraulic (specific stream power) variables. Four stream types were identified in the Rambla de la Viuda catchment (~1500 km<sup>2</sup>), an ephemeral gravel-bed river in eastern Spain. The spatial distribution of channel types is explained by differences in geometry (active channel width, valley width, and slope gradient) and a hydraulic parameter (specific stream power). The landforms/vegetation patterns provided insight on causal relationships between erosion and deposition processes during high flow periods and the time since the most recent large disruptive flood event. Channel type distribution provided first-order predictions about the location of reaches that supply and store sediment and thus information on sediment continuity along the river. Dam effects on downstream reaches resulted in geomorphological disequilibrium, producing narrowing of the active channel, slope reduction, and a decrease of gravel bar areal extension. The proposed catchment scale analysis provides a comprehensive and replicable methodology for environmental planning in Mediterranean ephemeral streams to guide further hydromorphological surveys at the reach scale.<br></p>
dc.language.isoen
dc.publisherJohn Wiley and Sons Ltd
dc.titleBasin-wide hydromorphological analysis of ephemeral streams using machine learning algorithms‡
dc.identifier.urnURN:NBN:fi-fe2021102852820
dc.contributor.organizationfi=maantiede|en=Geography |
dc.contributor.organization-code2606901
dc.converis.publication-id67520805
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/67520805
dc.identifier.eissn1096-9837
dc.identifier.jour-issn0197-9337
dc.okm.affiliatedauthorCalle Navarro, Mikel
dc.okm.discipline1171 Geosciencesen_GB
dc.okm.discipline1171 Geotieteetfi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeJournal article
dc.publisher.countryUnited Kingdomen_GB
dc.publisher.countryBritanniafi_FI
dc.publisher.country-codeGB
dc.relation.doi10.1002/esp.5250
dc.relation.ispartofjournalEarth Surface Processes and Landforms
dc.year.issued2021


Aineistoon kuuluvat tiedostot

Thumbnail

Aineisto kuuluu seuraaviin kokoelmiin

Näytä suppeat kuvailutiedot