Welcome to Chinese Journal of Applied Ecology! Today is Share:

Chinese Journal of Applied Ecology ›› 2011, Vol. 22 ›› Issue (01): 21-28.

• Articles • Previous Articles     Next Articles

Simulation of soil water dynamics in triploid Populus tomentosa root zone under subsurface drip irrigation.

XI Ben-ye, JIA Li-ming, WANG Ye, LI Guang-de   

  1. Province Ministry Co-construct Key Laboratory of Silviculture and Conservation of Education Ministry, Beijing Forestry University, Beijing 100083, China
  • Online:2011-01-18 Published:2011-01-18

Abstract: Based on the observed data of triploid Populus tomentosa root distribution, a one-dimensional root water uptake model was proposed. Taking the root water uptake into account, the soil water dynamics in triploid P. tomentosa root zone under subsurface drip irrigation was simulated by using HYDRUS model, and the results were validated with field experiment. Besides, the HYDRUS model was used to study the effects of various irrigation technique parameters on soil wetting patterns. The RMAE for the simulated soil water content by the end of irrigation and approximately 24 h later was 7.8% and 6.0%, and the RMSE was 0.036 and 0.026 cm3·cm-3, respectively, illustrating that the HYDRUS model performed well in simulating the short-term soil water dynamics in triploid P. tomentosa root zone under drip irrigation, and the root water uptake model was reasonable. Comparing with 2 and 4 L·h-1 of drip discharge and continuous irrigation, both the 1 L·h-1 of drip discharge and the pulsed irrigation with water applied intermittently in 30 min periods could increase the volume of wetted soil and reduce deep percolation. It was concluded that the combination of 1 L·h-1 of drip discharge and pulsed irrigation should be the first choice when applying drip irrigation to triploid P. tomentosa root zone at the experiment site.

Key words: triploid Populus tomentosa , subsurface drip irrigation, soil water movement, HYDRUS, numerical simulation, Quercus aquifolioides, point pattern analysis, distribution pattern, spatial association.