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Title

[Dataset] Water Mixing Approach (WMA) for reactive transport modeling

AuthorsSoler Sagarra, Joaquim; Carrera, Jesús
KeywordsComputing numerical simulations
Issue Date2020
AbstractData obtained by computing numerical simulations. DSA results were performed in a linked code of TRACONF (Carrera et al. 1993) and CHEPROO (Bea et al. 2009). WMA results were performed by a self-made code based on TRACONF_CHEPROO original code.
DescriptionData obtained by computing numerical simulations. DSA results were performed in a linked code of TRACONF (Carrera et al. 1993) and CHEPROO (Bea et al. 2009). WMA results were performed by a self-made code based on TRACONF_CHEPROO original code. - Data in "FIG_4_half_domain_inj": SHEET 1 "u_data (fig 4b)": cross section of component at diferent node columns SHEET 2 "r_data (fig 4a)": cross section of reaction rates at diferent node columns - Data in "FIG_5a_CAL_equil_cpu": Comparison between CPU performance between DSA and WMA algorithms on CAL EQUILIBRIUM case A4: CPU computed from numerical simulations A15: Obtain the constants of each step calculation A23: CPU calculated analiticaly - Data in "FIG_5b_CAL_kin_cpu": Comparison between CPU performance between DSA and WMA algorithms on CAL KINETIC case Idem than previous - Data in "FIG_6a_CAL_equil_accur": Accuracy performance for WMA and DSA for CAL equilibrium case. Check the Numerical dispersion effect between models of just different time steps A3: Data case information A19: DSA data I19: WMA data - Data in "FIG_6b_CAL_kin_accur": Accuracy performance for WMA and DSA for CAL kinetic case. Check the Numerical dispersion effect between models of just different time steps Idem than previous
URIhttp://hdl.handle.net/10261/218840
DOIhttp://dx.doi.org/10.20350/digitalCSIC/12598
Appears in Collections:(IDAEA) Conjuntos de datos
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