Testing CASE: A new event-based Morgan-Morgan-Finney-type erosion model for different rainfall experimental scenarios

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F23%3A00372020" target="_blank" >RIV/68407700:21110/23:00372020 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1002/hyp.14966" target="_blank" >https://doi.org/10.1002/hyp.14966</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1002/hyp.14966" target="_blank" >10.1002/hyp.14966</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Testing CASE: A new event-based Morgan-Morgan-Finney-type erosion model for different rainfall experimental scenarios

Popis výsledku v původním jazyce

Every application of soil erosion models brings the need of proper parameterisation, that is, finding physically or conceptually plausible parameter values that allow a model to reproduce measured values. No universal approach for model parameterisation, calibration and validation exists, as it depends on the model, spatial and temporal resolution and the nature of the datasets used. We explored some existing options for parameterisation, calibration and validation for erosion modelling exemplary with a specific dataset and modelling approach. A new Morgan-Morgan-Finney (MMF)-type model was developed, representing a balanced position between physically-based and empirical modelling approaches. The resulting model termed 'calculator for soil erosion' (CASE), works in a spatially distributed way on the timescale of individual rainfall events. A dataset of 142 high-intensity rainfall experiments in Central Europe (AT, HU, IT, CZ), covering various slopes, soil types and experimental designs was used for calibration and validation with a modified Monte-Carlo approach. Subsequently, model parameter values were compared to parameter values obtained by alternative methods (measurements, pedotransfer functions, literature data). The model reproduced runoff and soil loss of the dataset in the validation setting with R2adj of 0.89 and 0.76, respectively. Satisfactory agreement for the water phase was found, with calibrated saturated hydraulic conductivity (ksat) values falling within the interquartile range of ksat predicted with 14 different pedotransfer functions, or being within one order of magnitude. The chosen approach also well reflected specific experimental setups contained in the dataset dealing with the effects of consecutive rainfall and different soil water conditions. For the sediment phase of the tested model agreement between calibrated cohesion, literature values and field measurements were only partially in line. The methods we explored may specifically be interesting for use with other MMF-type models, or with similar datasets. Event-based runoff and soil loss modelling was performed with data from high-intensity rainfall experiments and a new Morgan-Morgan-Finney-type model (CASE). Unknown input parameters for the water and sediment phases were estimated by different methods: (1) Monte-Carlo simulations, (2) measurements, (3) pedotransfer functions and (4) literature values. Parameter values for saturated hydraulic conductivity and soil cohesion obtained by these different methods were compared and investigated for their agreement and validity, as were the sensitivities of the input parameters.image

Název v anglickém jazyce

Testing CASE: A new event-based Morgan-Morgan-Finney-type erosion model for different rainfall experimental scenarios

Popis výsledku anglicky

Every application of soil erosion models brings the need of proper parameterisation, that is, finding physically or conceptually plausible parameter values that allow a model to reproduce measured values. No universal approach for model parameterisation, calibration and validation exists, as it depends on the model, spatial and temporal resolution and the nature of the datasets used. We explored some existing options for parameterisation, calibration and validation for erosion modelling exemplary with a specific dataset and modelling approach. A new Morgan-Morgan-Finney (MMF)-type model was developed, representing a balanced position between physically-based and empirical modelling approaches. The resulting model termed 'calculator for soil erosion' (CASE), works in a spatially distributed way on the timescale of individual rainfall events. A dataset of 142 high-intensity rainfall experiments in Central Europe (AT, HU, IT, CZ), covering various slopes, soil types and experimental designs was used for calibration and validation with a modified Monte-Carlo approach. Subsequently, model parameter values were compared to parameter values obtained by alternative methods (measurements, pedotransfer functions, literature data). The model reproduced runoff and soil loss of the dataset in the validation setting with R2adj of 0.89 and 0.76, respectively. Satisfactory agreement for the water phase was found, with calibrated saturated hydraulic conductivity (ksat) values falling within the interquartile range of ksat predicted with 14 different pedotransfer functions, or being within one order of magnitude. The chosen approach also well reflected specific experimental setups contained in the dataset dealing with the effects of consecutive rainfall and different soil water conditions. For the sediment phase of the tested model agreement between calibrated cohesion, literature values and field measurements were only partially in line. The methods we explored may specifically be interesting for use with other MMF-type models, or with similar datasets. Event-based runoff and soil loss modelling was performed with data from high-intensity rainfall experiments and a new Morgan-Morgan-Finney-type model (CASE). Unknown input parameters for the water and sediment phases were estimated by different methods: (1) Monte-Carlo simulations, (2) measurements, (3) pedotransfer functions and (4) literature values. Parameter values for saturated hydraulic conductivity and soil cohesion obtained by these different methods were compared and investigated for their agreement and validity, as were the sensitivities of the input parameters.image

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10501 - Hydrology

Projekt

—

Návaznosti

R - Projekt Ramcoveho programu EK

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Hydrological Processes

ISSN

0885-6087

e-ISSN

1099-1085

Svazek periodika

37

Číslo periodika v rámci svazku

9

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

20

Strana od-do

1-20

Kód UT WoS článku

001066674200001

EID výsledku v databázi Scopus

2-s2.0-85171370893