Consistent modelling of transport processes and travel times - coupling soil hydrologic processes with StorAge Selection functions DOI Open Access
Robin Schwemmle, Markus Weiler

Authorea (Authorea), Journal Year: 2023, Volume and Issue: unknown

Published: Feb. 27, 2023

Understanding the transport processes and travel times of pollutants in subsurface is crucial for an effective management drinking water resources. Transport soil hydrologic are inherently linked to each other. In order account this link, we couple process-based model RoGeR with StorAge Selection (SAS) functions. We assign hydrological process a specific SAS function (e.g. power law distribution function). To represent different mechanisms, combined set functions into four structures: complete-mixing, piston flow, advection-dispersion time-variant parameters. study, conduct modelling experiments at Rietholzbach lysimeter, Switzerland. All benchmarked HYDRUS-1D. compare our simulations measured variables (percolation evapotranspiration fluxes dynamics) stable isotope signal (18O) lysimeter seepage period ten years (1997-2007). An additional virtual bromide tracer experiment was used benchmark models. Additionally, carried out sensitivity analysis provide Sobol indices parameters Our results show that produces best results. And thus, advective-dispersive play dominant role lysimeter. approach provides capability test hypotheses mechanisms improve understanding predictions processes. Overall, allows very simulation flux various temporal spatial scales.

Language: Английский

Consistent Modeling of Transport Processes and Travel Times—Coupling Soil Hydrologic Processes With StorAge Selection Functions DOI Creative Commons
Robin Schwemmle, Markus Weiler

Water Resources Research, Journal Year: 2024, Volume and Issue: 60(1)

Published: Jan. 1, 2024

Abstract Understanding the transport processes and travel times of pollutants in subsurface is crucial for an effective management drinking water resources. Transport soil hydrologic are inherently linked to each other. In order account this link, we couple process‐based model RoGeR with StorAge Selection (SAS) functions. We assign hydrological process a specific SAS function (e.g., power law distribution function). To represent different mechanisms, combined set functions into four structures: complete‐mixing, piston flow, advection‐dispersion time‐variant parameters. study, conduct modeling experiments at Rietholzbach lysimeter, Switzerland. All benchmarked HYDRUS‐1D. compare our simulations measured variables (percolation evapotranspiration fluxes storage dynamics) stable isotope signal ( 18 O) lysimeter seepage period ten years (1997–2007). An additional virtual bromide tracer experiment was used benchmark models. Additionally, carried out sensitivity analysis provided Sobol indices parameters Our results indicate that produces best results. And thus, advective‐dispersive play dominant role lysimeter. approach provides capability test hypotheses mechanisms improve understanding predictions processes. Overall, allows very simulation flux various temporal spatial scales.

Language: Английский

Citations

5

Consistent modelling of transport processes and travel times - coupling soil hydrologic processes with StorAge Selection functions DOI Open Access
Robin Schwemmle, Markus Weiler

Authorea (Authorea), Journal Year: 2023, Volume and Issue: unknown

Published: Feb. 27, 2023

Understanding the transport processes and travel times of pollutants in subsurface is crucial for an effective management drinking water resources. Transport soil hydrologic are inherently linked to each other. In order account this link, we couple process-based model RoGeR with StorAge Selection (SAS) functions. We assign hydrological process a specific SAS function (e.g. power law distribution function). To represent different mechanisms, combined set functions into four structures: complete-mixing, piston flow, advection-dispersion time-variant parameters. study, conduct modelling experiments at Rietholzbach lysimeter, Switzerland. All benchmarked HYDRUS-1D. compare our simulations measured variables (percolation evapotranspiration fluxes dynamics) stable isotope signal (18O) lysimeter seepage period ten years (1997-2007). An additional virtual bromide tracer experiment was used benchmark models. Additionally, carried out sensitivity analysis provide Sobol indices parameters Our results show that produces best results. And thus, advective-dispersive play dominant role lysimeter. approach provides capability test hypotheses mechanisms improve understanding predictions processes. Overall, allows very simulation flux various temporal spatial scales.

Language: Английский

Citations

6