Estimating Soil Hydraulic Parameters during Ponding Infiltration Using a Hybrid Algorithm
Accurate inversion of soil hydraulic parameters based on the van Genuchten–Mualem model has received much attention in soil science research. Herein, a hybrid algorithm method using particle swarm optimization and vector-evaluated genetic algorithm was used to invert the parameters <i>θ<sub...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-02-01
|
| Series: | Agronomy |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-4395/13/3/726 |
| _version_ | 1797613995170988032 |
|---|---|
| author | Yibo Li Ye Liu Xiaoyi Ma |
| author_facet | Yibo Li Ye Liu Xiaoyi Ma |
| author_sort | Yibo Li |
| collection | DOAJ |
| description | Accurate inversion of soil hydraulic parameters based on the van Genuchten–Mualem model has received much attention in soil science research. Herein, a hybrid algorithm method using particle swarm optimization and vector-evaluated genetic algorithm was used to invert the parameters <i>θ<sub>s</sub></i>, <i>α</i>, <i>n</i>, and <i>K<sub>s</sub></i>, with the objective functions of infiltration rate, cumulative infiltration, and soil water content. Then, numerical experiments were conducted on four typical soils at three initial water content levels (20, 40, and 60% effective saturation) to verify the accuracy of the inverse method. The results showed that the inversed soil water retention and conductivity curves were approximately the same as the real curves, with the root mean square errors of 0.00101–0.00192 cm<sup>3</sup>·cm<sup>−3</sup>, 0.00800–0.02519 cm<sup>3</sup>·cm<sup>−3</sup>, respectively, and both the Nash-Sutcliffe coefficients were approximately 1.0. Additionally, laboratory experiments were also performed to compare with the inversed parameters for verification, within small root mean squared errors and approximately 1.0 Nash–Sutcliffe coefficients. Furthermore, the method can also achieve acceptably accurate parameter inversion even with substantial measurement errors included in the cumulative infiltration, initial water content, and final water content. Thus, the method is effective and robust and found to be practical in field experiments. |
| first_indexed | 2024-03-11T07:03:23Z |
| format | Article |
| id | doaj.art-56902d9ec2914e47a7fe3aa2f003668c |
| institution | Directory Open Access Journal |
| issn | 2073-4395 |
| language | English |
| last_indexed | 2024-03-11T07:03:23Z |
| publishDate | 2023-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agronomy |
| spelling | doaj.art-56902d9ec2914e47a7fe3aa2f003668c2023-11-17T09:05:16ZengMDPI AGAgronomy2073-43952023-02-0113372610.3390/agronomy13030726Estimating Soil Hydraulic Parameters during Ponding Infiltration Using a Hybrid AlgorithmYibo Li0Ye Liu1Xiaoyi Ma2State Key Laboratory of Eco-Hydraulics in Northwest Arid Region, Xi’an University of Technology, Xi’an 710048, ChinaCollege of Water Resources and Architectural Engineering, Northwest A&F University, Xianyang 712100, ChinaCollege of Water Resources and Architectural Engineering, Northwest A&F University, Xianyang 712100, ChinaAccurate inversion of soil hydraulic parameters based on the van Genuchten–Mualem model has received much attention in soil science research. Herein, a hybrid algorithm method using particle swarm optimization and vector-evaluated genetic algorithm was used to invert the parameters <i>θ<sub>s</sub></i>, <i>α</i>, <i>n</i>, and <i>K<sub>s</sub></i>, with the objective functions of infiltration rate, cumulative infiltration, and soil water content. Then, numerical experiments were conducted on four typical soils at three initial water content levels (20, 40, and 60% effective saturation) to verify the accuracy of the inverse method. The results showed that the inversed soil water retention and conductivity curves were approximately the same as the real curves, with the root mean square errors of 0.00101–0.00192 cm<sup>3</sup>·cm<sup>−3</sup>, 0.00800–0.02519 cm<sup>3</sup>·cm<sup>−3</sup>, respectively, and both the Nash-Sutcliffe coefficients were approximately 1.0. Additionally, laboratory experiments were also performed to compare with the inversed parameters for verification, within small root mean squared errors and approximately 1.0 Nash–Sutcliffe coefficients. Furthermore, the method can also achieve acceptably accurate parameter inversion even with substantial measurement errors included in the cumulative infiltration, initial water content, and final water content. Thus, the method is effective and robust and found to be practical in field experiments.https://www.mdpi.com/2073-4395/13/3/726parameter estimationsoil hydraulic propertiesinverse modelingvector-evaluated genetic algorithmSWMS-2D |
| spellingShingle | Yibo Li Ye Liu Xiaoyi Ma Estimating Soil Hydraulic Parameters during Ponding Infiltration Using a Hybrid Algorithm Agronomy parameter estimation soil hydraulic properties inverse modeling vector-evaluated genetic algorithm SWMS-2D |
| title | Estimating Soil Hydraulic Parameters during Ponding Infiltration Using a Hybrid Algorithm |
| title_full | Estimating Soil Hydraulic Parameters during Ponding Infiltration Using a Hybrid Algorithm |
| title_fullStr | Estimating Soil Hydraulic Parameters during Ponding Infiltration Using a Hybrid Algorithm |
| title_full_unstemmed | Estimating Soil Hydraulic Parameters during Ponding Infiltration Using a Hybrid Algorithm |
| title_short | Estimating Soil Hydraulic Parameters during Ponding Infiltration Using a Hybrid Algorithm |
| title_sort | estimating soil hydraulic parameters during ponding infiltration using a hybrid algorithm |
| topic | parameter estimation soil hydraulic properties inverse modeling vector-evaluated genetic algorithm SWMS-2D |
| url | https://www.mdpi.com/2073-4395/13/3/726 |
| work_keys_str_mv | AT yiboli estimatingsoilhydraulicparametersduringpondinginfiltrationusingahybridalgorithm AT yeliu estimatingsoilhydraulicparametersduringpondinginfiltrationusingahybridalgorithm AT xiaoyima estimatingsoilhydraulicparametersduringpondinginfiltrationusingahybridalgorithm |