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AN APPLICATION OF CHAOS GRAY-ENCODED GENETIC ALGORITHM FOR PHILIP INFILTRATION MODEL
Wang, Kai-Wen1; Yang, Xiao-Hua2; Li, Yu-Qi3; Liu, Chang-Ming1; Guo, Xing-Jian1
2018
Source PublicationTHERMAL SCIENCE
ISSN0354-9836
Volume22Issue:4Pages:1581-1588
Corresponding AuthorYang, Xiao-Hua(xiaohuayang@bnu.edu.cn)
AbstractTo improve the precision of parameters' estimation in Philip infiltration model, chaos gray-coded genetic algorithm was introduced. The optimization algorithm made it possible to change from the discrete form of time perturbation function to a more flexible continuous form. The software RETC and Hydrus-1D were applied to estimate the soil physical parameters and referenced cumulative infiltration for seven different soils in the USDA soil texture triangle. The comparisons among Philip infiltration model with different numerical calculation methods showed that using optimization technique can increase the Nash and Sutcliffe efficiency from 0.82 to 0.97, and decrease the percent bias from 14% to 2%. The results indicated that using the discrete relationship of time perturbation function in Philip infiltration model's numerical calculation underestimated model's parameters, but this problem can be corrected a lot by using optimization algorithm. We acknowledge that in this study the fitting of time perturbation function, Chebyshev polynomial with order 20, did not perform perfectly near saturated and residue water content. So exploring a more appropriate function for representing time perturbation function is valuable in the future.
KeywordPhilip infiltration model gray-encoded genetic algorithm USDA soil texture triangle Chebyshev polynomial
DOI10.2298/TSCI1804581W
WOS KeywordHYDRAULIC CONDUCTIVITY ; POROUS-MEDIA ; EQUATION ; WATER ; OPTIMIZATION ; SOILS
Indexed BySCI
Language英语
Funding ProjectNational Key Research and Development Program of China[2017YFC0506603] ; Key Program of National Natural Science Foundation of China[41530635] ; General Program of National Natural Science Foundation of China[51679007] ; General Program of National Natural Science Foundation of China[41330529]
Funding OrganizationNational Key Research and Development Program of China ; Key Program of National Natural Science Foundation of China ; General Program of National Natural Science Foundation of China
WOS Research AreaThermodynamics
WOS SubjectThermodynamics
WOS IDWOS:000441484800005
PublisherVINCA INST NUCLEAR SCI
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/54527
Collection中国科学院地理科学与资源研究所
Corresponding AuthorYang, Xiao-Hua
Affiliation1.Univ Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
2.Beijing Normal Univ, Sch Environm, State Key Lab Water Environm Simulat, Beijing, Peoples R China
3.Peking Univ, Coll Architecture & Landscape Architecture, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Wang, Kai-Wen,Yang, Xiao-Hua,Li, Yu-Qi,et al. AN APPLICATION OF CHAOS GRAY-ENCODED GENETIC ALGORITHM FOR PHILIP INFILTRATION MODEL[J]. THERMAL SCIENCE,2018,22(4):1581-1588.
APA Wang, Kai-Wen,Yang, Xiao-Hua,Li, Yu-Qi,Liu, Chang-Ming,&Guo, Xing-Jian.(2018).AN APPLICATION OF CHAOS GRAY-ENCODED GENETIC ALGORITHM FOR PHILIP INFILTRATION MODEL.THERMAL SCIENCE,22(4),1581-1588.
MLA Wang, Kai-Wen,et al."AN APPLICATION OF CHAOS GRAY-ENCODED GENETIC ALGORITHM FOR PHILIP INFILTRATION MODEL".THERMAL SCIENCE 22.4(2018):1581-1588.
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