Physico-empirical methods for estimating soil water characteristic curve under different particle size
| Publication Date: |
2018-11-06
|
|---|---|
| Publisher: |
Institute of Physics (IOP)
|
| Print ISSN: |
1755-1307
|
| Electronic ISSN: |
1755-1315
|
| Topics: |
Geography
Geosciences
Physics
|
| Published by: |
| _version_ | 1836399079611957250 |
|---|---|
| autor | Y Q Zhao, W K Wang, Z F Wang and L Chen Li |
| beschreibung | Soil water characteristic curve (SWCC) is an important property of soil, but directly measuring methods are costly and time-consuming. Many attempts have been made to predict the water characteristic curve indirectly from soil particle size distribution (PSD) and basic physical properties. In this study, the Arya-Paris (A-P) model and Non-similar midia concept (NSMC) model were applied to predict the SWCC indirectly with six soil samples in arid regions. The objective of this study was to compare the two physico-empirical methods and assess the applicability of them under different particle size of soil. The results showed that the A-P model was superior to NSMC model on prediction precision, and more suited to predict silty sand and silt, those soils with medium texture. While using Arya-Paris method, the scaling parameter, α (parameter used to scale pore lengths based on spherical particles to natural soil pore lengths), was estimated by non-linear fitting, linear fitting and ... |
| citation_standardnr | 6352952 |
| datenlieferant | ipn_articles |
| feed_id | 108844 |
| feed_publisher | Institute of Physics (IOP) |
| feed_publisher_url | http://www.iop.org/ |
| insertion_date | 2018-11-06 |
| journaleissn | 1755-1315 |
| journalissn | 1755-1307 |
| publikationsjahr_anzeige | 2018 |
| publikationsjahr_facette | 2018 |
| publikationsjahr_intervall | 7984:2015-2019 |
| publikationsjahr_sort | 2018 |
| publisher | Institute of Physics (IOP) |
| quelle | IOP Conference Series: Earth and Environmental Science |
| relation | http://iopscience.iop.org/1755-1315/191/1/012018 |
| search_space | articles |
| shingle_author_1 | Y Q Zhao, W K Wang, Z F Wang and L Chen Li |
| shingle_author_2 | Y Q Zhao, W K Wang, Z F Wang and L Chen Li |
| shingle_author_3 | Y Q Zhao, W K Wang, Z F Wang and L Chen Li |
| shingle_author_4 | Y Q Zhao, W K Wang, Z F Wang and L Chen Li |
| shingle_catch_all_1 | Physico-empirical methods for estimating soil water characteristic curve under different particle size Soil water characteristic curve (SWCC) is an important property of soil, but directly measuring methods are costly and time-consuming. Many attempts have been made to predict the water characteristic curve indirectly from soil particle size distribution (PSD) and basic physical properties. In this study, the Arya-Paris (A-P) model and Non-similar midia concept (NSMC) model were applied to predict the SWCC indirectly with six soil samples in arid regions. The objective of this study was to compare the two physico-empirical methods and assess the applicability of them under different particle size of soil. The results showed that the A-P model was superior to NSMC model on prediction precision, and more suited to predict silty sand and silt, those soils with medium texture. While using Arya-Paris method, the scaling parameter, α (parameter used to scale pore lengths based on spherical particles to natural soil pore lengths), was estimated by non-linear fitting, linear fitting and ... Y Q Zhao, W K Wang, Z F Wang and L Chen Li Institute of Physics (IOP) 1755-1307 17551307 1755-1315 17551315 |
| shingle_catch_all_2 | Physico-empirical methods for estimating soil water characteristic curve under different particle size Soil water characteristic curve (SWCC) is an important property of soil, but directly measuring methods are costly and time-consuming. Many attempts have been made to predict the water characteristic curve indirectly from soil particle size distribution (PSD) and basic physical properties. In this study, the Arya-Paris (A-P) model and Non-similar midia concept (NSMC) model were applied to predict the SWCC indirectly with six soil samples in arid regions. The objective of this study was to compare the two physico-empirical methods and assess the applicability of them under different particle size of soil. The results showed that the A-P model was superior to NSMC model on prediction precision, and more suited to predict silty sand and silt, those soils with medium texture. While using Arya-Paris method, the scaling parameter, α (parameter used to scale pore lengths based on spherical particles to natural soil pore lengths), was estimated by non-linear fitting, linear fitting and ... Y Q Zhao, W K Wang, Z F Wang and L Chen Li Institute of Physics (IOP) 1755-1307 17551307 1755-1315 17551315 |
| shingle_catch_all_3 | Physico-empirical methods for estimating soil water characteristic curve under different particle size Soil water characteristic curve (SWCC) is an important property of soil, but directly measuring methods are costly and time-consuming. Many attempts have been made to predict the water characteristic curve indirectly from soil particle size distribution (PSD) and basic physical properties. In this study, the Arya-Paris (A-P) model and Non-similar midia concept (NSMC) model were applied to predict the SWCC indirectly with six soil samples in arid regions. The objective of this study was to compare the two physico-empirical methods and assess the applicability of them under different particle size of soil. The results showed that the A-P model was superior to NSMC model on prediction precision, and more suited to predict silty sand and silt, those soils with medium texture. While using Arya-Paris method, the scaling parameter, α (parameter used to scale pore lengths based on spherical particles to natural soil pore lengths), was estimated by non-linear fitting, linear fitting and ... Y Q Zhao, W K Wang, Z F Wang and L Chen Li Institute of Physics (IOP) 1755-1307 17551307 1755-1315 17551315 |
| shingle_catch_all_4 | Physico-empirical methods for estimating soil water characteristic curve under different particle size Soil water characteristic curve (SWCC) is an important property of soil, but directly measuring methods are costly and time-consuming. Many attempts have been made to predict the water characteristic curve indirectly from soil particle size distribution (PSD) and basic physical properties. In this study, the Arya-Paris (A-P) model and Non-similar midia concept (NSMC) model were applied to predict the SWCC indirectly with six soil samples in arid regions. The objective of this study was to compare the two physico-empirical methods and assess the applicability of them under different particle size of soil. The results showed that the A-P model was superior to NSMC model on prediction precision, and more suited to predict silty sand and silt, those soils with medium texture. While using Arya-Paris method, the scaling parameter, α (parameter used to scale pore lengths based on spherical particles to natural soil pore lengths), was estimated by non-linear fitting, linear fitting and ... Y Q Zhao, W K Wang, Z F Wang and L Chen Li Institute of Physics (IOP) 1755-1307 17551307 1755-1315 17551315 |
| shingle_title_1 | Physico-empirical methods for estimating soil water characteristic curve under different particle size |
| shingle_title_2 | Physico-empirical methods for estimating soil water characteristic curve under different particle size |
| shingle_title_3 | Physico-empirical methods for estimating soil water characteristic curve under different particle size |
| shingle_title_4 | Physico-empirical methods for estimating soil water characteristic curve under different particle size |
| timestamp | 2025-06-30T23:37:16.594Z |
| titel | Physico-empirical methods for estimating soil water characteristic curve under different particle size |
| titel_suche | Physico-empirical methods for estimating soil water characteristic curve under different particle size |
| topic | R TE-TZ U |
| uid | ipn_articles_6352952 |