Irrigation district agricultural irrigation water demand decision-making method and system

A technology for water demand and agricultural irrigation, applied in data processing applications, instruments, forecasting, etc., can solve problems such as inability to allocate irrigation water, inability to carry out large-scale promotion and application, and conflicts between investment in moisture information collection systems and demand prediction accuracy, etc. Achieve the effects of improving water resource utilization efficiency, simplifying parameter types and calculation process, and improving irrigation efficiency

Pending Publication Date: 2020-01-14
YELLOW RIVER INST OF HYDRAULIC RES YELLOW RIVER CONSERVANCY COMMISSION
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  • Abstract
  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

However, limited by the simulation and prediction technology of irrigation water demand and soil moisture collection technology, the existing agricultural water irrigation control methods and precision irrigation systems in irrigation areas can only be carried out in typical areas with an area of ​​less than 300

Method used

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  • Irrigation district agricultural irrigation water demand decision-making method and system
  • Irrigation district agricultural irrigation water demand decision-making method and system
  • Irrigation district agricultural irrigation water demand decision-making method and system

Examples

Experimental program
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Effect test

Embodiment 1

[0062] Such as figure 1 As shown, a decision-making method for agricultural irrigation water demand in an irrigation area includes the following steps:

[0063] S1. Based on 3S technology, calculate the soil moisture content in the irrigation area, the regional crop planting structure, the daily water consumption of crops, etc., and generate a soil moisture prediction model based on the soil water balance;

[0064] S2. Acquiring the regional irrigation water demand forecasting model, the regional irrigation water demand forecasting model includes various crop sub-irrigation water demand forecasting modules, regional ten-day irrigation water demand forecasting module, unit gross irrigation water demand calculation module, and irrigation area irrigation water demand module and irrigation water use efficiency modules;

[0065] S3, establishing the actual irrigation area monitoring model based on the vertical drought index difference;

[0066] S4. Based on the soil moisture pred...

Embodiment 2

[0131] Such as figure 2 As shown, the present invention also provides a decision-making system for agricultural irrigation water demand in irrigation areas, including a system function module, a data input module, a GIS-based data management and editing module, an information release module and a system management module;

[0132] The system function module includes an irrigation area planting structure unit, a soil moisture unit, a soil moisture prediction unit, an actual irrigation area unit, an irrigation water use efficiency unit, an irrigation water demand prediction unit, and a water resource optimal configuration unit, which are used to realize the planting structure of the irrigation area. , Analysis and calculation of actual irrigation area and irrigation water use efficiency, as well as forecast analysis of soil moisture and irrigation water demand, and realize optimal allocation of water resources;

[0133] The data input module includes an image data unit, a stati...

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Abstract

The invention discloses an irrigation district agricultural irrigation water demand decision-making method and system. The decision-making method comprises the following steps that firstly, the soil moisture content, the regional crop planting structure, the crop daily water consumption and the like of an irrigation area are calculated based on the 3S technology, and a soil moisture content prediction model based on soil water balance is generated; then a large-scale regional irrigation water demand prediction model is obtained; an actual irrigation area monitoring model is established based on vertical drought index difference; an irrigation area water resource optimal configuration model is constructed according to the soil moisture content prediction model, the regional irrigation waterdemand prediction model and the actual irrigation approximate area monitoring model; and finally, a one-key irrigation water decision support system is developed for the irrigation district. According to the remote sensing data, weather conditions, soil types and the like of different regions, automatic interpretation of irrigation district planting structures, irrigation district drought information monitoring and early warning, actual irrigation district monitoring, irrigation water utilization efficiency, irrigation district agricultural water demand and the like can be realized.

Description

technical field [0001] The invention belongs to the technical field of decision-making methods for agricultural irrigation, and in particular relates to a method and system for decision-making of water demand for agricultural irrigation in irrigation areas. Background technique [0002] The Yellow River Basin is poor in water resources and is a resource-deficient area. The per capita water resources in the basin are about 473m 3 , only 23% of the national average. With its 2% of the country's water resources, the Yellow River undertakes the task of supplying water to 15% of the country's arable land and 12% of the population. The Yellow River Basin has become the region with the most scarce water resources, the most prominent contradiction between supply and demand, and the most fragile ecological environment in China. In the Yellow River Basin, the proportion of agricultural water use is large, the irrigation management method is extensive, the waste of agricultural water...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q50/02
CPCG06Q10/04G06Q10/06315G06Q10/067G06Q10/0639G06Q50/02
Inventor 王军涛梁冰洁张会敏傅建国程献国常布辉姚京威姜丙洲李强坤景明刘翠莉
Owner YELLOW RIVER INST OF HYDRAULIC RES YELLOW RIVER CONSERVANCY COMMISSION
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