Matches in SemOpenAlex for { <https://semopenalex.org/work/W3120214982> ?p ?o ?g. }
- W3120214982 endingPage "104961" @default.
- W3120214982 startingPage "104961" @default.
- W3120214982 abstract "Evaluating distributed soil erosion models is challenging because of the uncertainty in models and measurements of system responses. Here, we present an approach to evaluate soil erosion and sediment delivery models, which incorporates sediment source fingerprinting and sediment-rating curve uncertainty into model testing. We applied the Generalized Likelihood Uncertainty Estimation (GLUE) methodology to the Sediment Delivery Distributed model (SEDD) for a large catchment in Southeast Brazil. The model was not rejected, as 23.4% of model realizations were considered behavioral. Fingerprinting results and SEDD simulations showed a partial agreement regarding the identification of the main sediment sources in the catchment. However, grid-based estimates of soil erosion and sediment delivery rates were highly uncertain, which restricted the model's usefulness for quantifying sediment dynamics. Although our results are case-specific, similar levels of error might be expected in erosion models elsewhere. The representation of such errors should be standard practice." @default.
- W3120214982 created "2021-01-18" @default.
- W3120214982 creator A5004187000 @default.
- W3120214982 creator A5012568647 @default.
- W3120214982 creator A5019416586 @default.
- W3120214982 creator A5020897648 @default.
- W3120214982 creator A5030485117 @default.
- W3120214982 creator A5031401811 @default.
- W3120214982 creator A5075155078 @default.
- W3120214982 creator A5082398287 @default.
- W3120214982 date "2021-03-01" @default.
- W3120214982 modified "2023-10-13" @default.
- W3120214982 title "A framework for testing large-scale distributed soil erosion and sediment delivery models: Dealing with uncertainty in models and the observational data" @default.
- W3120214982 cites W1461441543 @default.
- W3120214982 cites W1771296280 @default.
- W3120214982 cites W1775310489 @default.
- W3120214982 cites W1786630126 @default.
- W3120214982 cites W1795220167 @default.
- W3120214982 cites W180836830 @default.
- W3120214982 cites W1968431885 @default.
- W3120214982 cites W1972241136 @default.
- W3120214982 cites W1978405154 @default.
- W3120214982 cites W1979228001 @default.
- W3120214982 cites W1983685992 @default.
- W3120214982 cites W1985423629 @default.
- W3120214982 cites W1991190000 @default.
- W3120214982 cites W1997043905 @default.
- W3120214982 cites W2009126530 @default.
- W3120214982 cites W2009457818 @default.
- W3120214982 cites W2012585556 @default.
- W3120214982 cites W2012913568 @default.
- W3120214982 cites W2013744256 @default.
- W3120214982 cites W2017196451 @default.
- W3120214982 cites W2022396921 @default.
- W3120214982 cites W2029834087 @default.
- W3120214982 cites W2036852613 @default.
- W3120214982 cites W2038188579 @default.
- W3120214982 cites W2049753871 @default.
- W3120214982 cites W2058949033 @default.
- W3120214982 cites W2059047404 @default.
- W3120214982 cites W2061502584 @default.
- W3120214982 cites W2064034650 @default.
- W3120214982 cites W2067810714 @default.
- W3120214982 cites W2070133126 @default.
- W3120214982 cites W2074536655 @default.
- W3120214982 cites W2075170979 @default.
- W3120214982 cites W2076765996 @default.
- W3120214982 cites W2078984875 @default.
- W3120214982 cites W2081346522 @default.
- W3120214982 cites W2088339540 @default.
- W3120214982 cites W2088453311 @default.
- W3120214982 cites W2095561056 @default.
- W3120214982 cites W2124738823 @default.
- W3120214982 cites W2138466064 @default.
- W3120214982 cites W2146364027 @default.
- W3120214982 cites W2160352226 @default.
- W3120214982 cites W2161569085 @default.
- W3120214982 cites W2301055622 @default.
- W3120214982 cites W2315038516 @default.
- W3120214982 cites W2589417682 @default.
- W3120214982 cites W2596584027 @default.
- W3120214982 cites W2606883145 @default.
- W3120214982 cites W2618569161 @default.
- W3120214982 cites W2740652231 @default.
- W3120214982 cites W2766320376 @default.
- W3120214982 cites W2784715506 @default.
- W3120214982 cites W2789535016 @default.
- W3120214982 cites W2791447812 @default.
- W3120214982 cites W2793888109 @default.
- W3120214982 cites W2795553420 @default.
- W3120214982 cites W2797358372 @default.
- W3120214982 cites W2884263020 @default.
- W3120214982 cites W2889528509 @default.
- W3120214982 cites W2901545304 @default.
- W3120214982 cites W2902648611 @default.
- W3120214982 cites W2912153991 @default.
- W3120214982 cites W2928307332 @default.
- W3120214982 cites W2942215896 @default.
- W3120214982 cites W2950851751 @default.
- W3120214982 cites W2957449316 @default.
- W3120214982 cites W2989010146 @default.
- W3120214982 cites W3039672204 @default.
- W3120214982 cites W654078096 @default.
- W3120214982 cites W836729814 @default.
- W3120214982 doi "https://doi.org/10.1016/j.envsoft.2021.104961" @default.
- W3120214982 hasPublicationYear "2021" @default.
- W3120214982 type Work @default.
- W3120214982 sameAs 3120214982 @default.
- W3120214982 citedByCount "16" @default.
- W3120214982 countsByYear W31202149822021 @default.
- W3120214982 countsByYear W31202149822022 @default.
- W3120214982 countsByYear W31202149822023 @default.
- W3120214982 crossrefType "journal-article" @default.
- W3120214982 hasAuthorship W3120214982A5004187000 @default.
- W3120214982 hasAuthorship W3120214982A5012568647 @default.
- W3120214982 hasAuthorship W3120214982A5019416586 @default.
- W3120214982 hasAuthorship W3120214982A5020897648 @default.
- W3120214982 hasAuthorship W3120214982A5030485117 @default.