| Relationship between soil moisture in surface layer and in deeper depth in Yangling |
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| DOI：10.7606/j.issn.1000-7601.2010.03.10 |
| Key Words: winter wheat soil moisture estimation model water relation Yangling |
| Author Name | Affiliation | | YANG Jingjing | The Key Laboratory of Agricultural Soil and Water Engineering in Arid Area of Ministry of Education , Northwest A & F University, Yangling, Shaanxi 712100，China | | CAI Huanjie | The Key Laboratory of Agricultural Soil and Water Engineering in Arid Area of Ministry of Education , Northwest A & F University, Yangling, Shaanxi 712100，China | | WANG Songhe | The Key Laboratory of Agricultural Soil and Water Engineering in Arid Area of Ministry of Education , Northwest A & F University, Yangling, Shaanxi 712100，China | | XIE Hengxing | The Key Laboratory of Agricultural Soil and Water Engineering in Arid Area of Ministry of Education , Northwest A & F University, Yangling, Shaanxi 712100，China |
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| Abstract: |
| According to the measurement of soil moisture variation of winter wheat under different irrigation condi-tions in Yangling, the relations between soil moisture in surface layer and that in deeper depth is analyzed. The results indicate: with the soil layer deepening, the changing trend of soil moisture presents a high-low-high fluctuation. The variation degree of soil moisture, as the soil layer depth increasing, shows a tendency of violent-gentle-violent-gentle under natural precipitation or irrigation conditions. The soil moisture of various layers of 20 cm, 30 cm, 40 cm and 50 cm below the surface layer is well related with each layer of 20 ~ 50 cm, and the closer the two soil layers, the better relativ-
ity between them. It proves good results to estimate the soil moisture of deeper depth by suface layers. Based on Biswas soil water estimation model, to estimate soil moisture of 0 ~ 100 cm by the experimental data of 30~ 40 cm and to esti-mate that of 100 ~ 150 cm by the experimental data of 20 cm both have good relativity. The influence of total volume and times of irnigation directly affects the value and accuracy of model parameters. |
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