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Open AccessArticle

Study on the Optimization of Dry Land Irrigation Schedule in the Downstream Songhua River Basin Based on the SWAT Model

by Qiang Fu 1,2,3, Liyan Yang 1, Heng Li 1,2,*, Tianxiao Li 1,2,3, Dong Liu 1,2, Yi Ji 1,2, Mo Li 1,2 and Yan Zhang 1,2,3
1
School of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin 150030, Heilongjiang, China
2
Key Laboratory of Effective Utilization of Agricultural Water Resources of Ministry of Agriculture, Northeast Agricultural University, Harbin 150030, Heilongjiang, China
3
Heilongjiang Provincial Key Laboratory of Water Resources and Water Conservancy Engineering in Cold Region, Northeast Agricultural University, Harbin 150030, Heilongjiang, China
*
Author to whom correspondence should be addressed.
Water 2019, 11(6), 1147; https://doi.org/10.3390/w11061147
Received: 10 May 2019 / Revised: 24 May 2019 / Accepted: 27 May 2019 / Published: 31 May 2019
(This article belongs to the Special Issue Agriculture Water Management and Water Saving Strategies)
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. View Full-Text
Keywords: SWAT; key growth stages; Analytic Hierarchy Process (AHP)-Gray Interconnect Degree Analysis (GIDA); irrigation schedule optimization SWAT; key growth stages; Analytic Hierarchy Process (AHP)-Gray Interconnect Degree Analysis (GIDA); irrigation schedule optimization
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MDPI and ACS Style

Fu, Q.; Yang, L.; Li, H.; Li, T.; Liu, D.; Ji, Y.; Li, M.; Zhang, Y. Study on the Optimization of Dry Land Irrigation Schedule in the Downstream Songhua River Basin Based on the SWAT Model. Water 2019, 11, 1147.

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