DocumentCode :
3072985
Title :
Estimating Parameters of Van Genuchten Equation Based on Intelligent Algorithms and RETC Software
Author :
Yang, Xu ; You, Xueyi ; Ji, Min ; Pan, Liuming ; Wang, Xiuduo ; Zhao, Lejun
Author_Institution :
Sch. of Environ. Sci. & Eng., Tianjin Univ., Tianjin, China
fYear :
2011
fDate :
16-17 July 2011
Firstpage :
97
Lastpage :
99
Abstract :
In order to explore optimization effects of RETC software and intelligent algorithms, including genetic algorithm, simulated annealing algorithm and particle swarm optimization, on parameters of Van Genuchten (VG)Equation for the soil water characteristic curve of urban green space, the soil drying curve of green space was obtained by using the tensiometer method in this study, where RETC software, genetic algorithm, simulated annealing algorithm and particle swarm optimization we reconstructed to solve parameters of VG Equation. The results indicated that the parameter fitting results of VG Equation determined by RETC software and three intelligent algorithms were very close to experimental results with a very high simulation accuracy (R2 = 0.996) in given conditions, moreover, the fitting effect of intelligent algorithms was better than that of RECT software.
Keywords :
drying; genetic algorithms; parameter estimation; particle swarm optimisation; rain; simulated annealing; soil; RETC software; Van Genuchten equation; genetic algorithm; intelligent algorithms; parameter estimation; parameter fitting; particle swarm optimization; simulated annealing algorithm; soil drying curve; soil water characteristic curve; tensiometer method; urban green space; Equations; Fitting; Mathematical model; Software; Software algorithms; Soil; Water; RETC; Van Genuchten equation; genetic algorithm; particle swarm optimization; simulated annealing algorithm; soil water characteristic curve;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Society (ISCCS), 2011 International Symposium on
Conference_Location :
Kota Kinabalu
Print_ISBN :
978-1-4577-0644-8
Type :
conf
DOI :
10.1109/ISCCS.2011.34
Filename :
6004275
Link To Document :
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