Estimation of infiltration parameters and the irrigation coefficients with the surface irrigation advance distance

Zhou Beibei; Wang Quanjiu; Tan Shuai

doi:10.1371/journal.pone.0101274

Estimation of infiltration parameters and the irrigation coefficients with the surface irrigation advance distance

PLoS One. 2014 Jul 25;9(7):e101274. doi: 10.1371/journal.pone.0101274. eCollection 2014.

Authors

Zhou Beibei¹, Wang Quanjiu², Tan Shuai¹

Affiliations

¹ State Key Laboratory Base of Eco-Hydraulic Engineering, Institute of Water Resources and Hydro-electric Engineering, Xi'an University of Technology, Xi'an, Shaanxi, China.
² State Key Laboratory Base of Eco-Hydraulic Engineering, Institute of Water Resources and Hydro-electric Engineering, Xi'an University of Technology, Xi'an, Shaanxi, China; State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, Chinese Academy of Sciences & Ministry of Water Resources, Northwest A & F University, Yangling, Shaanxi, China.

Abstract

A theory based on Manning roughness equation, Philip equation and water balance equation was developed which only employed the advance distance in the calculation of the infiltration parameters and irrigation coefficients in both the border irrigation and the surge irrigation. The improved procedure was validated with both the border irrigation and surge irrigation experiments. The main results are shown as follows. Infiltration parameters of the Philip equation could be calculated accurately only using water advance distance in the irrigation process comparing to the experimental data. With the calculated parameters and the water balance equation, the irrigation coefficients were also estimated. The water advance velocity should be measured at about 0.5 m to 1.0 m far from the water advance in the experimental corn fields.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Agricultural Irrigation*
Humans
Models, Theoretical*
Soil
Water Movements
Water Resources*

Substances

Soil

Grants and funding

The National Natural Science Foundation of China (51239009; 41371239); Science and Technology Planning Project of Shaanxi Province(2013kjxx-38); Scientific Research Plan Projects of Shaanxi Education Department (12JK0482); Shaanxi Water Conservancy Project(2013slt-04); Doctoral fund of Xi'an University of Technology (106-211301) are gratefully acknowledged. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.