Acquisition method for contribution rate of driving factor of agricultural irrigation water demand in arid region

By using the improved SWAT model and LMDI factor decomposition method, the problems of low accuracy in irrigation water demand simulation and insufficient contribution rate of driving factors were solved, enabling accurate calculation of irrigation water demand and clear identification of influencing factors, thus promoting the scientific management of agricultural water use.

CN121435536APending Publication Date: 2026-01-30CHINA AGRI UNIV
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Patent Information

Application Number
CN202511645685.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-11-11
Publication Date
2026-01-30

AI Technical Summary

Technical Problem

Existing technologies have low accuracy in simulating irrigation water demand and insufficient calculation of the contribution rate of driving factors, resulting in an imbalance between agricultural water supply and demand, which affects food production security.

Method used

An improved SWAT model was constructed, and effective precipitation and crop evapotranspiration were calculated through elevation zone division and hydrological process optimization. The contribution rate of driving factors, including planting area, planting structure, climate change and water-saving factors, was quantitatively solved by combining the LMDI factor decomposition method.

Benefits of technology

It improved the accuracy of irrigation water demand simulation, clarified the contribution rate of influencing factors, and provided a scientific basis for regulation to alleviate the contradiction between agricultural water supply and demand.

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Abstract

The invention provides a method for obtaining the contribution rate of a driving factor of agricultural irrigation water demand in an arid region, and belongs to the field of agricultural water resource management, and the method comprises the steps: constructing a research region SWAT model database; utilizing an improved SWAT model to simulate hydrological cycle components to calculate effective precipitation and crop evapotranspiration; calculating a net irrigation water demand by using effective rainfall and crop evapotranspiration, and calculating a gross irrigation water demand by combining an irrigation water utilization coefficient; and quantitatively solving the driving contribution of each factor based on an LMDI factor decomposition method. Through integration of precipitation temperature correction, distributed hydrological process simulation and an LMDI factor decomposition method of an SWAT model sub-basin according to an elevation zone, high-precision estimation of regional irrigation water demand and quantitative characterization of a driving factor contribution rate are realized, and a scientific regulation and control basis is provided for agricultural water resource management in an arid region.
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