Irrigation Water Use Monitoring via ET and Soil Water Correlation
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Solution Overview
Problem
Existing hydrological models for estimating irrigation water use (IWU) require large amounts of data and lack calibrated parameters, leading to inaccurate estimations, which hinder effective irrigation planning and groundwater sustainability in agricultural areas.
Innovation Solution
A monitoring method and device that determine a linear correlation between evapotranspiration (ET), soil water storage, and reference ET using data sets to accurately estimate IWU, utilizing remote sensing and model simulation technologies for high spatial resolution and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a hydrological model is used to estimate irrigation water use, then the estimation can be obtained, but huge amounts of data are required and the model parameters are not calibrated leading to inaccuracy
Solution Approach 1:
The patent extracts and utilizes remote sensing data (satellite imagery, aerial photography) to obtain evapotranspiration and soil moisture information directly from the target region, rather than relying on comprehensive hydrological model data requirements. This extraction of specific needed parameters from remote sensing sources reduces the overall data quantity burden while maintaining estimation accuracy.
Solution Approach 2:
The patent introduces remote sensing technology as an intermediary between the estimation goal and data sources. Remote sensing acts as a mediator that provides direct measurements of evapotranspiration and soil moisture without requiring the extensive input data and calibration processes of traditional hydrological models, thus resolving the contradiction between accuracy and data quantity.
2Productivity
If a hydrological model is used to estimate irrigation water use, then the estimation can be obtained, but the model configuration has unreasonableness and parameters are not calibrated
Solution Approach 1:
The patent extracts the essential estimation function from the complex hydrological model framework and implements it through a simplified approach using remote sensing data. By taking out the core need (IWU estimation) and fulfilling it through direct remote sensing measurements of evapotranspiration and soil moisture, the patent eliminates unnecessary model configuration complexity while maintaining productivity.
Solution Approach 2:
The patent uses remote sensing to create a simplified copy or representation of the hydrological processes that can be directly observed (evapotranspiration, soil moisture) without requiring the full complexity of the original hydrological model. This copying approach maintains the essential estimation capability while reducing configuration complexity.
3Area of stationary object
If remote sensing technology is used to obtain evapotranspiration and soil moisture data, then the spatial resolution is high, but data processing complexity increases
Solution Approach 1:
The patent segments the data processing into distinct modules: remote sensing data acquisition, evapotranspiration calculation, soil moisture retrieval, and irrigation water use estimation. By dividing the complex processing task into separate functional segments, each handling a specific aspect of the estimation, the patent manages spatial coverage effectively while controlling processing complexity through modularization.
Data Source
AI summary
Disclosed are a monitoring method and a monitoring device for irrigation water use (IWU), a computer device and a non-transitory computer readable medium. The method includes: determining a linear correlation between a first evapotranspiration (ET), a first soil water storage, and a monthly reference ET of a target region according to a first data set in response to a monitoring instruction from a user; determining multiple second soil water storages of the target region based on a second data set, and the linear correlation of the first ET, the first soil water storage, and the monthly reference ET of the target region; determining the IWU of the target region according to the first ET, the second ET, the first soil water storage, the second soil water storage of the target region, and the first preset correlation.