Method and device for determining irrigation water consumption in arid region

By weighted fusion and correction of various evapotranspiration and precipitation data in arid regions, combined with deep learning models and vegetation type correction, the problem of inaccurate irrigation water consumption detection in arid regions has been solved, and high-precision determination of irrigation water consumption has been achieved.

CN120875220AActive Publication Date: 2025-10-31AEROSPACE INFORMATION RES INST CAS
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Patent Information

Application Number
CN202510861060.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-06-25
Publication Date
2025-10-31
Estimated Expiration
2045-06-25

AI Technical Summary

Technical Problem

The current technology for detecting irrigation water consumption in arid areas is inaccurate, mainly due to the coarse resolution of soil moisture content products, the unstable performance of evapotranspiration products, and insufficient data due to variables that cannot be directly obtained, such as infiltration and groundwater recharge.

Method used

By acquiring various evapotranspiration data, ground and satellite observation precipitation data, and soil characteristic data, weighted fusion and pixel-by-pixel correction are performed. Non-evaporation loss is detected by combining a deep learning model and corrected according to vegetation type. Irrigation water consumption is determined using a water balance formula.

Benefits of technology

It enables accurate detection of irrigation water consumption in arid areas, improves data accuracy and reliability, breaks through the data acquisition limitations of traditional remote sensing observation, and provides decision support for large-scale agricultural water resource management.

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Abstract

The invention provides a method and device for determining the irrigation water consumption of an arid region, and relates to the technical field of agricultural irrigation, and the method comprises the steps: firstly obtaining various evapotranspiration data, ground observation rainfall data, satellite observation rainfall data and soil environment characteristic data of the arid region in an irrigation period; carrying out weighted fusion on the plurality of evapotranspiration data to obtain first data; correcting the satellite observation rainfall data pixel by pixel based on the ground observation data to obtain second data; inputting the soil environment characteristic data into a first deep learning model to obtain first non-evaporation loss data of the arid region in the irrigation period; then correcting the first non-evaporation loss data to obtain second non-evaporation loss data; and finally, based on the first data, the second data and the second non-evaporation loss data, determining the irrigation water consumption of the arid region in the irrigation period. According to the method for determining the irrigation water consumption of the arid region, accurate detection of the irrigation water consumption of the arid region is achieved.
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