Application of the simulation models THESEUS and HYDRUS
Transcription
Application of the simulation models THESEUS and HYDRUS
Application of the simulation models THESEUS and HYDRUS-1D at different european forested test sites Martin Wegehenkel Institute of Landscape Systems Analysis ZALF Müncheberg Modelling-Workshop Freising 27th-29th April, 2010 • Outline: • Application of the models THESEUS (Wegehenkel, 2005) and HYDRUS-1D (Simunek et al., 2008) at 9 forested experimental test sites • Test and comparison of both models • Analysis of simulation precision and data quality • Presentation of some selected results: Celerina, Solling Spruce and Solling Beech Modelling-Workshop Freising 27th-29th April, 2010 Comparison of the actual model set up for Hydrus-1D and THESEUS Vegetation Hydrus-1D (Simunek et al. 2008) Minutes – Years 1 cm layer = 90-280 layers depending on soil profile depth Seconds - daily Time series of net precipitation, evaporation, transpiration calculated by THESEUS and LAI from the data providers - Evapotranspiration - Interception Ψ(θ) and K(Ψ) Soil water fluxes Van Genuchten (1980) Richards-Equation using numerical solution Inverse modelling Hydraulic parameters using time series of measured pressure heads, soil water contents and fluxes Yes Yes Yes Yes Time scale Profile discretization Time Step Met. Data Heat transport Dual porosity Solute transport Graphical uses interface THESEUS (Wegehenkel 2005) Days – Years 10 cm layer = 9 -20 layers depending on soil profile depth Minutes-daily Time series of precipitation, temperature, global radiation, air humidity and wind speed Semiempirical forest model using external time series of LAI and rooting depth as driver variables Penman-Monteith equation based on algorithms obtained from the model FOREST_BGC (Running et al. 1991) Single linear storage using LAI Van Genuchten (1980) Simple Richards equation using the model SAWAH (Ten Berge et al. 1998) No No No No No Modelling-Workshop Freising 27th-29th April, 2010 Transpirationmodel THESEUS Forest-Model 1. Calculation of potential transpiration Tpot in mm d-1 (RUNNING und COUGHLAN 1988, RUNNING und GOWER 1991) rad c c vpd r a p Tpot 1 r c r a Tsec LAI 1000 = slope of the function saturation vapour pressure versus air temperature (mbar K-1), radc = Net radiation (W m-2), cp = specific heat of air at constant pressure (J kg-1 K-1), = air density (kg m-3), vpd = vapour pressure deficit (mbar), ra = aerodynamic resistance (s m-1) = Psychrometerkonstante, rc = canopy resistance (s m-1), Tsec = day length (sec), = latent heat (J kg-1), LAI = Leaf area index (m2 m-2) 2. Interception using specific interception capacity of the forest stand IC (mm d-1): Int Min IC C ic LAI , IC radc Tsec CIC = specific interception coefficient (LAI-1 d-1). 3. Evaporation PE in mm d-1 PE radc Tsec Int Modelling-Workshop Freising 27th-29th April, 2010 Modelling procedures: • • • • • • • • • No correction of precipitation inputs The Van Genuchten parameters θs, θr, α and n were estimated by the program SHYPFIT (Durner 2005) using the provided soil water contents at pF4.2 (=WP), pF2.0 (=FC) and pF0.0 (=total porosity) θs, θr, α and n for organic layers obtained from literature Initial moisture conditions obtained from the corresponding data set Uncalibrated (= no parameter optimization) application of THESEUS at the test sites Celerina, Solling Beech and Solling Spruce Using LAI, rooting depth and phenogical data from the corresponding data sets THESEUS provides time series of net precipitation, evaporation, transpiration, LAI and rooting depth as input and upper boundary condition for the application of HYDRUS-1D Inverse modelling of hydraulic parameters with Hydrus-1D using time series of measured pressure heads at the Solling Spruce test site Using optimized hydraulic parameter set in the application of Hydrus-1D and THESEUS at the Solling spruce test site Modelling-Workshop Freising 27th-29th April, 2010 Comparison of simulated (by THESEUS) and measured daily throughfall, Solling Spruce Modelling-Workshop Freising 27th-29th April, 2010 Daily rates of precipitation (Prc in mm d-1), measured and simulated pressure heads in 10 cm, 20 cm, and 40 cm depth (Prh10-Prh40 in hPa), Solling Spruce Modelling-Workshop Freising 27th-29th April, 2010 Daily rates of precipitation (Prc in mm d-1), measured and simulated pressure heads in 100 and 180 cm depth (Prh100-Prh180 in hPa), Solling Spruce Modelling-Workshop Freising 27th-29th April, 2010 Daily rates of precipitation (Prc in mm d-1), measured and simulated soil water contents in 2 cm depth (Swc2 in Vol%), Solling Spruce Modelling-Workshop Freising 27th-29th April, 2010 Comparison of simulated and measured soil water contents, Solling Spruce, 2cm depth Hydrus-1D THESEUS Modelling-Workshop Freising 27th-29th April, 2010 Comparison of simulated (byTHESEUS) and measured daily throughfall, Celerina (left) and Solling beech (right) Modelling-Workshop Freising 27th-29th April, 2010 Daily rates of precipitation (Prc in mm d-1), measured and simulated pressure heads in 15 cm, 30 cm, 50 cm and 80 cm depth (Prh15-Prh80 in hPa), Celerina Modelling-Workshop Freising 27th-29th April, 2010 Daily rates of precipitation (Prc in mm d-1), measured and simulated pressure heads in 10 cm, 20 cm and 40 cm depth (Prh10-Prh40 in hPa), Solling Beech Modelling-Workshop Freising 27th-29th April, 2010 Daily rates of precipitation (Prc in mm d-1), measured and simulated pressure heads in 100 cm and 180 cm depth (Prh100-Prh180 in hPa), Solling Beech Modelling-Workshop Freising 27th-29th April, 2010 • Preliminary conclusions: • Van Genuchten Parameter estimation with only three points – uncertainty in hydraulic functions. • Van Genuchten Parameters for organic layers difficult to identify • THESEUS model had problems with stagnant water and saturated conditions at the lower soil profile boundary – due to the simple procedure to solve the RICHARD‘s equation (see results for Solling beech site). • Inverse modelling procedures depend on the quality of the data used for the objective function and reliable estimates of the range of the parameters. • In the actual state, overall simulation quality of both models using e.g. the comparison of simulated with measured soil water contents is bad (see 2cm depth at Solling Spruce site). • Check of model calculations and measured data. Modelling-Workshop Freising 27th-29th April, 2010 Thank you for your attention ! A special thank to the organizers of the workshop and the data providers as well ! Modelling-Workshop Freising 27th-29th April, 2010
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