SWAT Literature Database for Peer-Reviewed Journal Articles

Title:Study on the optimization of dry land irrigation schedule in the downstream Songhua River Basin based on the SWAT Model 
Authors:Fu, Q., L. Yang, H. Li, T. Li, D. Liu, Y. Ji, M. Li and Y. Zhang 
Year:2019 
Journal:Water 
Volume (Issue):11(6) 
Pages: 
Article ID:1147 
DOI:10.3390/w11061147 
URL (non-DOI journals): 
Model:SWAT 
Broad Application Category:hydrologic only 
Primary Application Category:irrigation impacts or irrigation BMP scenarios 
Secondary Application Category:blue/green water or crop water productivity 
Watershed Description:13,365 km^2 portion of the Songhua River (located downstream of the City of Jiamusi), that is located in the Sanjiang Plain region in the northeast point of Heilongjiang Province in far northeast China. 
Calibration Summary: 
Validation Summary: 
General Comments: 
Abstract:The optimization of irrigation schedules is of great significance for saving water resources and ensuring food security. For the downstream of the Songhua River Basin, the key growth stages of crops were determined by the coupling degree between the effective precipitation and crop water requirement and the sensitivity indexes of the crop water production function. A Soil and Water Assessment Tool (SWAT) model was used to simulate 16 irrigation schedules in different scenarios. Taking four factors into consideration, Analytic Hierarchy Process (AHP)-Gray Interconnect Degree Analysis (GIDA) was used to establish the optimal irrigation schedule. The results showed that the key growth stages of corn and soybean were vegetative, reproductive and pod formation, seed enlargement. Deficit treatments were beneficial to improving crop yield and WUE. The optimal schedules were: the corn was irrigated with four times in key growth stages, and the irrigation quota was 21 mm; irrigation occurred six times in both normal and dry year, with quotas of 84 mm and 134 mm, respectively; the soybean was filled with six times in key growth stages, and the irrigation quotas were 10 mm, 28 mm and 89 mm in wet, normal and dry year, respectively. The evaluation method of irrigation schedule provided a theoretical basis for agricultural management and planting in the basin. 
Language:English 
Keywords:SWAT, key growth stages, Analytic Hierarchy Process (AHP)-Gray Interconnect Degree Analysis (GIDA), irrigation schedule optimization