AN APPLICATION OF CHAOS GRAY-ENCODED GENETIC ALGORITHM FOR PHILIP INFILTRATION MODEL
文献类型：期刊论文
| 作者 | Wang, Kai-Wen1; Yang, Xiao-Hua3; Li, Yu-Qi2; Liu, Chang-Ming1; Guo, Xing-Jian1 |
| 刊名 | THERMAL SCIENCE
 |
| 出版日期 | 2018 |
| 卷号 | 22期号:4页码:1581-1588 |
| 关键词 | Philip infiltration model gray-encoded genetic algorithm USDA soil texture triangle Chebyshev polynomial |
| ISSN号 | 0354-9836 |
| DOI | 10.2298/TSCI1804581W |
| 通讯作者 | Yang, Xiao-Hua(xiaohuayang@bnu.edu.cn) |
| 英文摘要 | To 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. |
| WOS关键词 | HYDRAULIC CONDUCTIVITY ; POROUS-MEDIA ; EQUATION ; WATER ; OPTIMIZATION ; SOILS |
| 资助项目 | National 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] |
| WOS研究方向 | Thermodynamics |
| 语种 | 英语 |
| WOS记录号 | WOS:000441484800005 |
| 出版者 | VINCA INST NUCLEAR SCI |
| 资助机构 | National 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 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/54526]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Yang, Xiao-Hua |
| 作者单位 | 1.Univ Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China 2.Peking Univ, Coll Architecture & Landscape Architecture, Beijing, Peoples R China 3.Beijing Normal Univ, Sch Environm, State Key Lab Water Environm Simulat, Beijing, Peoples R China |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：地理科学与资源研究所
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