Open Access
| Issue |
E3S Web Conf.
Volume 189, 2020
2020 International Conference on Agricultural Science and Technology and Food Engineering (ASTFE 2020)
|
|
|---|---|---|
| Article Number | 01011 | |
| Number of page(s) | 4 | |
| Section | Agricultural Resources and Agricultural Automation | |
| DOI | https://doi.org/10.1051/e3sconf/202018901011 | |
| Published online | 15 September 2020 | |
- Xinyang Zhou et al. Study on adaptability of four infiltration formulas to farmland fluvo-aquic soil [J]. Journal of Irrigation and Drainage, 2015, 34 (8):86-100. [Google Scholar]
- Wentao Fan et al. Characteristic analysis of interpolation parameters between Philip model and modified Green-Ampt model [J]. Journal of Irrigation and Drainage, 2012, 31 (2):73-77. [Google Scholar]
- Chen Zeng et al. Effect of initial water content on vertical line source infiltration characteristics of soil [J]. Journal of Agricultural Engineering, 2010, 26 (1): 24-30. [Google Scholar]
- Yanwei Fan et al. Improvement and verification of Green-Ampt infiltration model for sand layer soil [J]. Journal of Agricultural Engineering, 2015, 31 (5):93-99. [Google Scholar]
- Yousheng Xiong et al. Comparative analysis of water infiltration models of purple soil in the Three Gorges reservoir area [J]. Journal of Irrigation and Drainage, 2013, 32 (1): 43-46. [Google Scholar]
- Chuncheng Liu et al. Applicability of four infiltration models to infiltration law of waterrepellent soil [J]. Journal of Agricultural Engineering, 2011, 27 (5): 62-67. [Google Scholar]
- Shiliang Wu et al. Spatial variability of soil characteristics and calibration factors of Philip infiltration formula [J]. Journal of Drainage and Irrigation Machinery Engineering, 2014, 32 (8):730-736. [Google Scholar]
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