FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2057247382> ?p ?o ?g. }

• W2057247382 endingPage "232" @default.
• W2057247382 startingPage "213" @default.
• W2057247382 abstract "The Magdalena River, a major fluvial system draining most of the Colombian Andes, has the highest sediment yield of any mediumsized or large river in South America. We examined sediment yield and its response to control variables in the Magdalena drainage basin based on a multi-year dataset of sediment loads from 32 tributary catchments. Various morphometric, hydrologic, and climatic variables were estimated in order to understand and predict the variation in sediment yield. Sediment yield varies from 128 to 2200 t km K2 yr K1 for catchments ranging from 320 to 59,600 km 2 . The mean sediment yield for 32 sub-basins within the Magdalena basin is w690 t km K2 yr K1 . Mean annual runoff is the dominant control and explains 51% of the observed variance in sediment yield. A multiple regression model, including two control variables, runoff and maximum water discharge, explains 58% of the variance. This model is efficient (MEZ0.89) and is a valuable tool for predicting total sediment yield from tributary catchments in the Magdalena basin. Multiple correlations for those basins corresponding to the upper Magdalena, middle basin, Eastern Cordillera, and catchment areas greater than 2000 km 2 , explain 75, 77, 89, and 78% of the variance in sediment yield, respectively. Although more variance is explained when dataset are grouped into categories, the models are less efficient (ME!0.72). Within the spatially distributed models, six catchment variables predict sediment yield, including runoff, precipitation, precipitation peakedness, mean elevation, mean water discharge, and relief. These estimators are related to the relative importance of climate and weathering, hillslope erosion, and fluvial transport processes. Time series analysis indicates that significant increases in sediment load have occurred over 68% of the catchment area, while 31% have experienced a decreasing trend in sediment load and thus yield. Land use analysis and increasing sediment load trends indicate that erosion within the catchment has increased over the last 10–20 years. q 2005 Elsevier B.V. All rights reserved." @default.
• W2057247382 created "2016-06-24" @default.
• W2057247382 creator A5004529036 @default.
• W2057247382 creator A5011759022 @default.
• W2057247382 creator A5017525491 @default.
• W2057247382 creator A5070145893 @default.
• W2057247382 date "2006-01-01" @default.
• W2057247382 modified "2023-10-18" @default.
• W2057247382 title "Factors controlling sediment yield in a major South American drainage basin: the Magdalena River, Colombia" @default.
• W2057247382 cites W1526137637 @default.
• W2057247382 cites W1971143069 @default.
• W2057247382 cites W1977009201 @default.
• W2057247382 cites W1979820761 @default.
• W2057247382 cites W1980242966 @default.
• W2057247382 cites W1982493705 @default.
• W2057247382 cites W1993126571 @default.
• W2057247382 cites W1993265721 @default.
• W2057247382 cites W2001428992 @default.
• W2057247382 cites W2003285345 @default.
• W2057247382 cites W2013471792 @default.
• W2057247382 cites W2024667580 @default.
• W2057247382 cites W2026886308 @default.
• W2057247382 cites W2033449374 @default.
• W2057247382 cites W2041158780 @default.
• W2057247382 cites W2043495063 @default.
• W2057247382 cites W2048183431 @default.
• W2057247382 cites W2053797317 @default.
• W2057247382 cites W2054908959 @default.
• W2057247382 cites W2064972007 @default.
• W2057247382 cites W2066416007 @default.
• W2057247382 cites W2070602876 @default.
• W2057247382 cites W2072225859 @default.
• W2057247382 cites W2072712492 @default.
• W2057247382 cites W2074448134 @default.
• W2057247382 cites W2075861247 @default.
• W2057247382 cites W2077181803 @default.
• W2057247382 cites W2080157105 @default.
• W2057247382 cites W2083343669 @default.
• W2057247382 cites W2085870171 @default.
• W2057247382 cites W2088124537 @default.
• W2057247382 cites W2091836531 @default.
• W2057247382 cites W2094911104 @default.
• W2057247382 cites W2096717450 @default.
• W2057247382 cites W2132394621 @default.
• W2057247382 cites W2155700689 @default.
• W2057247382 cites W2173344480 @default.
• W2057247382 cites W2330438690 @default.
• W2057247382 cites W2888326487 @default.
• W2057247382 cites W2912767394 @default.
• W2057247382 doi "https://doi.org/10.1016/j.jhydrol.2005.05.002" @default.
• W2057247382 hasPublicationYear "2006" @default.
• W2057247382 type Work @default.
• W2057247382 sameAs 2057247382 @default.
• W2057247382 citedByCount "156" @default.
• W2057247382 countsByYear W20572473822012 @default.
• W2057247382 countsByYear W20572473822013 @default.
• W2057247382 countsByYear W20572473822014 @default.
• W2057247382 countsByYear W20572473822015 @default.
• W2057247382 countsByYear W20572473822016 @default.
• W2057247382 countsByYear W20572473822017 @default.
• W2057247382 countsByYear W20572473822018 @default.
• W2057247382 countsByYear W20572473822019 @default.
• W2057247382 countsByYear W20572473822020 @default.
• W2057247382 countsByYear W20572473822021 @default.
• W2057247382 countsByYear W20572473822022 @default.
• W2057247382 countsByYear W20572473822023 @default.
• W2057247382 crossrefType "journal-article" @default.
• W2057247382 hasAuthorship W2057247382A5004529036 @default.
• W2057247382 hasAuthorship W2057247382A5011759022 @default.
• W2057247382 hasAuthorship W2057247382A5017525491 @default.
• W2057247382 hasAuthorship W2057247382A5070145893 @default.
• W2057247382 hasConcept C109007969 @default.
• W2057247382 hasConcept C114793014 @default.
• W2057247382 hasConcept C126645576 @default.
• W2057247382 hasConcept C127313418 @default.
• W2057247382 hasConcept C134121241 @default.
• W2057247382 hasConcept C187320778 @default.
• W2057247382 hasConcept C18903297 @default.
• W2057247382 hasConcept C191897082 @default.
• W2057247382 hasConcept C192562407 @default.
• W2057247382 hasConcept C205649164 @default.
• W2057247382 hasConcept C2816523 @default.
• W2057247382 hasConcept C39432304 @default.
• W2057247382 hasConcept C58640448 @default.
• W2057247382 hasConcept C67592535 @default.
• W2057247382 hasConcept C76886044 @default.
• W2057247382 hasConcept C86803240 @default.
• W2057247382 hasConceptScore W2057247382C109007969 @default.
• W2057247382 hasConceptScore W2057247382C114793014 @default.
• W2057247382 hasConceptScore W2057247382C126645576 @default.
• W2057247382 hasConceptScore W2057247382C127313418 @default.
• W2057247382 hasConceptScore W2057247382C134121241 @default.
• W2057247382 hasConceptScore W2057247382C187320778 @default.
• W2057247382 hasConceptScore W2057247382C18903297 @default.
• W2057247382 hasConceptScore W2057247382C191897082 @default.
• W2057247382 hasConceptScore W2057247382C192562407 @default.
• W2057247382 hasConceptScore W2057247382C205649164 @default.
• W2057247382 hasConceptScore W2057247382C2816523 @default.

• next