Dynamic parameterization of soil surface characteristics for hydrological models in agricultural catchments

Grangeon, Thomas; Vandromme, Rosalie; Pak, Lai Ting; Martin, Philippe; Richet, Jean-Baptiste; Evrard, Olivier; Souchère, Véronique; Auzet, Anne-Véronique; Ludwig, Bruno; Ouvry, Jean-François

doi:10.1016/j.catena.2022.106257

Cited by 3 publications

(5 citation statements)

References 66 publications

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“…9). Multitemporal catchment observations show that winter soil crust development on bare soils is critical in producing highly elevated runoff coefficients (Grangeon et al, 2022). Similar observations regarding crust development were made in the Kinderveld catchment, in addition to the heterogeneous 'filtering' effect of high summer vegetation growth conditions, which increased winter suspended sediment concentrations respective to those in summer (Steegen et al, 2000).…”

Section: Seasonal Differences In Sediment Transport Efficiencysupporting

confidence: 57%

“…The 'Data type in EUSEDcollab' refers to the temporal structure of the time series data as it is made publicly available. 'Event -variable timestep' signifies event data with a variable timestep within each event Eventaggregated (Richet et al, 2020;Ouvry and et al, 2018;Grangeon et al, 2022;Pak and et al, 2018;Grangeon et al, 2020) In this study, we utilised four catchment datasets with measurements taken in ephemeral stream channels activated during rainfall-runoff events (Fig. 1 & 2).…”

Section: Catchment Data Subsamples From the Eusedcollab Databasementioning

confidence: 99%

“…All catchments come with the advantage of being well studied over their measurement periods (Table . 1), providing a large depth of contextual information on the land management and erosion processes. In the case of the BRVL and FDTL, underlying karstic rock formations also influence the infiltration dynamics of the catchments (Grangeon et al, 2022). Owing to loess-derived silt and loam soils, all catchments are susceptible infiltration-excess runoff and to winter soil surface crusting, particularly given the dominance of arable crop cultivations.…”

Section: Catchment Data Subsamples From the Eusedcollab Databasementioning

confidence: 99%

“…Owing to loess-derived silt and loam soils, all catchments are susceptible infiltration-excess runoff and to winter soil surface crusting, particularly given the dominance of arable crop cultivations. The influence of soil crusting has been evidenced to drastically impact the infiltration in all catchments, typically developing through the winter to result in high runoff propensity during late-winter rainfall events until new tillage operations break the crusting surfaces (Grangeon et al, 2022;Steegen et al, 2000;Le Bissonnais et al, 2005).…”

Section: Catchment Data Subsamples From the Eusedcollab Databasementioning

confidence: 99%

“…Winter runoff events dominate the runoff and SSL budget in the BRVL and FDTL catchments (Grangeon et al, 2022), representing cases in which the seasonal dynamics of predicted gross erosion and measured SSL were inverted. Contrastingly, in the Ganspoel catchment, the predicted dynamics of gross erosion explained a considerable amount of the variability in the sediment yield (R 2 = 0.41), therefore resulting in a relatively higher model performance (NSE = 0.28).…”

Section: Multi-temporal Model Calibrationmentioning

confidence: 99%

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On the potential of a low-complexity model to decompose the temporal dynamics of soil erosion and sediment delivery

Matthews,

Panagos,

Fendrich

et al. 2023

Preprint

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Abstract. Testing and improving the capacity of soil erosion and sediment delivery models to simulate the intra-annual dynamics climatic drivers and disturbances (e.g. vegetation clearcutting, tillage events, wildfires) is critical to understand the drivers of the system variability. In seasonally changing agricultural catchments, explicit temporal dynamics are typically neglected within many soil erosion modelling approaches, in favour of a focus on the long-term annual average as the predictive target. Here, we approach the trade-off between the need for model simplicity and temporally-dynamic predictions by testing the ability of a low-complexity, spatially distributed model (WaTEM/SEDEM), to decompose the 15-day dynamics of soil erosion and sediment yield. A standardised parameterisation and implementation routine was applied to four well-studied catchments in North-West Europe with open-access validation data. Through the testing of several alternative model spatial and connectivity structures, including the addition of an empirical runoff coefficient, we show that a temporally-static calibration of transport capacity cannot adequately replicate the relative seasonal decoupling of gross (on-site) soil erosion and sediment delivery. Instead, embedding seasonality into the calibration routine significantly improved the model performance, revealing a negative relationship between gross (pixel-scale soil displacement) and net erosion (stream channel sediment load) throughout the year. By incorporating temporal dynamics, the relative net effect is a reduction in the magnitudes of the spatially-distributed sediment fluxes at aggregated timescales, compared to a temporally-lumped approach. Published catchment observations infer that the efficacy of sediment delivery via overland flow is strongly reduced in the summer by abundant vegetative boundaries and increased in the winter via soil crusting and its promotion of runoff. Models operating at temporally-aggregated timescales should account for the possibility of decoupling in time and space between gross erosion and sediment delivery in arable catchment systems, related to alternations between transport- and detachment-limited sediment transport capacity states. Despite the complexities involved in the temporal downscaling of WaTEM/SEDEM, we show the utility of this approach to: 1) identify key missing information components requiring attention to reduce error in gross erosion predictions (e.g. more consideration of antecedent soil conditions), 2) form a basis for strategically adding physical process-representation, with a focus on maintaining low model complexity while improving predictive skill, and 3) better understand the spatial and temporal interdependencies within soil erosion models when undertaking upscaling exercises.

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Section: Seasonal Differences In Sediment Transport Efficiencysupporting

confidence: 57%

Section: Catchment Data Subsamples From the Eusedcollab Databasementioning

confidence: 99%

Section: Catchment Data Subsamples From the Eusedcollab Databasementioning

confidence: 99%

Section: Catchment Data Subsamples From the Eusedcollab Databasementioning

confidence: 99%

Section: Multi-temporal Model Calibrationmentioning

confidence: 99%

See 3 more Smart Citations

On the potential of a low-complexity model to decompose the temporal dynamics of soil erosion and sediment delivery

Matthews,

Panagos,

Fendrich

et al. 2023

Preprint

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show abstract

Saturation-excess overland flow in the European loess belt: An underestimated process?

Landemaine

Grangeon

Vandromme

et al. 2023

International Soil and Water Conservation Research

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EUSEDcollab: a network of data from European catchments to monitor net soil erosion by water

et al. 2023

Self Cite

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As a network of researchers we release an open-access database (EUSEDcollab) of water discharge and suspended sediment yield time series records collected in small to medium sized catchments in Europe. EUSEDcollab is compiled to overcome the scarcity of open-access data at relevant spatial scales for studies on runoff, soil loss by water erosion and sediment delivery. Multi-source measurement data from numerous researchers and institutions were harmonised into a common time series and metadata structure. Data reuse is facilitated through accompanying metadata descriptors providing background technical information for each monitoring station setup. Across ten European countries, EUSEDcollab covers over 1600 catchment years of data from 245 catchments at event (11 catchments), daily (22 catchments) and monthly (212 catchments) temporal resolution, and is unique in its focus on small to medium catchment drainage areas (median = 43 km2, min = 0.04 km2, max = 817 km2) with applicability for soil erosion research. We release this database with the aim of uniting people, knowledge and data through the European Union Soil Observatory (EUSO).

show abstract

Dynamic parameterization of soil surface characteristics for hydrological models in agricultural catchments

Cited by 3 publications

References 66 publications

On the potential of a low-complexity model to decompose the temporal dynamics of soil erosion and sediment delivery

On the potential of a low-complexity model to decompose the temporal dynamics of soil erosion and sediment delivery

Saturation-excess overland flow in the European loess belt: An underestimated process?

EUSEDcollab: a network of data from European catchments to monitor net soil erosion by water

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