Improving SWAT auto-irrigation functions for simulating agricultural irrigation management using long-term lysimeter field data

Chen, Y; Marek, GW; Marek, TH; Brauer, DK; Srinivasan, R

HERO ID

10287171

Reference Type

Journal Article

Year

2018

Language

English

HERO ID 10287171
In Press No
Year 2018
Title Improving SWAT auto-irrigation functions for simulating agricultural irrigation management using long-term lysimeter field data
Authors Chen, Y; Marek, GW; Marek, TH; Brauer, DK; Srinivasan, R
Journal Environmental Modelling and Software
Volume 99
Page Numbers 25-38
Abstract Decreasing groundwater availability in the Texas High Plains has resulted in the widespread adoption of management allowed depletion (MAD) irrigation scheduling. Modeling of such practices and their effects on water balance components can be a cost-effective and time-saving alternative to field-based research. However, studies have identified deficiencies in the auto-irrigation algorithms in the Soil and Water Assessment Tool (SWAT) including the continuation of irrigation during the non-growing season and an inability to simulate growth stage-specific irrigation. Consequently, new and representative auto-irrigation algorithms were developed using 1) a uniform, single season MAD and 2) a growth stage-specific MAD with options for seasonal growth stage partitioning based on scheduled date and accumulated heat units. Comparisons with observed data from an irrigated lysimeter field showed improved model performance for simulations of irrigation amount and frequency and actual evapotranspiration. Minimal differences in leaf area index and yield were observed with the non-water stressed management.
Doi 10.1016/j.envsoft.2017.09.013
Wosid WOS:000416030000003
Is Certified Translation No
Dupe Override No
Is Public Yes
Language Text English
Keyword Actual evapotranspiration (ET); Crop leaf area index (LAI); Heat units; Auto-irrigation; Soil water deficit; Management allowed depletion (MAD)
Is Peer Review Yes