Mountainous area agricultural bearing capacity scale conversion method

Abstract

The invention provides a mountainous area agricultural bearing capacity scale conversion method, and relates to the technical field of agricultural water resource management, and the method comprises the steps: obtaining the agricultural available water amount, the farmland comprehensive irrigation quota, geographic information data and agricultural production data, and calculating the agricultural available water amount and the farmland comprehensive irrigation quota; the macro-scale mountainous area agriculture bearable scale is obtained; calculating the geographic space data to obtain an effective precipitation amount; on the basis of the effective precipitation amount and the crop growth water demand, the rain-fed agriculture bearable scale is obtained; based on the effective precipitation, the agricultural production data and the rain-fed agricultural land parcel, obtaining an irrigation-type agricultural loadable scale, calculating the rain-fed agricultural loadable scale and the irrigation-type agricultural loadable scale to obtain a dynamic evaluation result of the spatial distribution of the mountainous area agricultural loadable scale, and completing the conversion of the mountainous area agricultural bearing capacity scale. According to the method, the problems that the agricultural bearing capacity in the mountainous area is difficult to dynamically and quantitatively evaluate and the macroscopic scale is converted into the microcosmic pattern spot scale are solved.

Description

Technical Field

[0001] This specification relates to the field of agricultural water resources management technology, and in particular to a method for converting the scale of agricultural carrying capacity in mountainous areas. Background Art

[0002] Existing SCS-CN models are based on flat or gently sloping terrain by default, failing to consider the impact of slope changes on runoff. Increased slope significantly alters infiltration rate and runoff rate, leading to inaccurate runoff estimates. While some studies have proposed slope correction formulas, most have not been integrated into the irrigation water demand assessment framework. Furthermore, in the Penman formula's reference evapotranspiration calculation, default parameters such as wind speed and radiation are affected by mountainous terrain and local microclimates. Directly using these default parameters will result in some bias, making it difficult to dynamically assess irrigation water demand in mountainous agricultural areas. Summary of the Invention

[0003] To address the aforementioned shortcomings in existing technologies, this invention provides a method for converting the scale of agricultural carrying capacity in mountainous areas, which solves the problems of dynamic quantitative assessment of agricultural carrying capacity in mountainous areas and conversion from macroscopic to microscopic patch scale.

[0004] To achieve the above-mentioned objectives, the technical solution adopted by this invention is: a method for converting the scale of agricultural carrying capacity in mountainous areas, comprising: S1: Obtain agricultural available water volume, farmland comprehensive irrigation quota, geographic information data, and agricultural production data; S2: By calculating the available agricultural water and the comprehensive irrigation quota for farmland, the carrying capacity of mountain agriculture at a macro scale is obtained; S3: The effective precipitation is obtained by calculating the geographic information data; S4: Based on the effective precipitation and crop growth water requirements, the distribution area of ​​rain-fed agricultural land in mountainous areas is delineated by calculation, and the carrying capacity of mountainous agriculture at the macro scale is divided to obtain rain-fed agricultural plots, which are used as the carrying capacity of rain-fed agriculture. S5: Based on the effective precipitation, the agricultural production data, and the rain-fed agricultural plots, the carrying capacity of mountain agriculture at the macro scale is divided by calculation to obtain the water requirements of irrigated agricultural plots and irrigated farmland; based on the available agricultural water and the water requirements of irrigated farmland, the carrying capacity of irrigated agriculture is determined. S6: Calculate the carrying capacity of rain-fed agriculture and the carrying capacity of irrigated agriculture to obtain the dynamic evaluation results of the spatial distribution area of ​​the carrying capacity of mountain agriculture, and complete the transformation of the carrying capacity of mountain agriculture from macro-scale area statistics to micro-scale spatial expression.

[0005] Furthermore, the expression for the carrying capacity of mountain agriculture at the macro scale is as follows: ; in, This indicates the carrying capacity of mountain agriculture on a macro scale. Indicates the amount of water available for agriculture. This indicates the comprehensive irrigation quota for farmland.

[0006] Furthermore, the expression for the crop's water requirement is as follows: ; ; in, Indicates the water requirement for crop growth. This represents the average temperature at a height of 2 meters. Represents the crop coefficient. represents crop evapotranspiration, This represents the slope of the saturated water vapor pressure curve. Indicates net radiation on crop surface. Indicates soil heat flux density. Represents the wet / dry constant. This indicates the wind speed at a height of 2 meters. Indicates saturated water vapor pressure. This indicates the actual water vapor pressure.

[0007] Further, S3 includes: Based on the geographic information data, the runoff coefficient of the target area is corrected using the slope factor to obtain the corrected runoff coefficient of the target area. By analyzing geographic information data and the corrected runoff coefficient of the target area, the runoff volume of the target area is obtained. The effective precipitation is obtained by calculating the difference between the rainfall and the runoff in the target area.

[0008] Furthermore, the expression for the corrected target area runoff coefficient is as follows: ; in, This represents the corrected runoff coefficient for the target area. Indicates the runoff coefficient of the target area. This represents the slope factor.

[0009] Furthermore, the expression for the carrying capacity of the rain-fed agriculture is as follows: ; ; in, This indicates the scale that rain-fed agriculture can support. This indicates the area of ​​suitable land for rain-fed agriculture. Indicates the area of ​​cultivated land. Indicates effective precipitation. This indicates the amount of water required for crop growth.

[0010] Furthermore, the carrying capacity of irrigated agriculture includes the water demand of irrigated agricultural land, and the expression for the water demand of irrigated agricultural land is as follows: ; in, This indicates the water requirement for irrigated agricultural land. Indicates rainfall amount, Indicates the initial loss coefficient. This represents the corrected runoff coefficient for the target area. Represents the crop coefficient. Represents crop evapotranspiration.

[0011] Furthermore, the expression for the carrying capacity of the irrigated aquaculture is as follows: ; ; ; in, This indicates the carrying capacity of irrigated agriculture. This indicates the area of ​​irrigated agricultural land. This indicates the area of ​​agricultural land that can be irrigated using available agricultural water. Indicates the amount of water available for agriculture. This indicates the irrigation water requirement for agricultural land. This represents the regional total water consumption control target. This indicates the proportion of water used in agriculture.

[0012] The beneficial effects of this invention are as follows: This invention provides a method for converting the scale of agricultural carrying capacity in mountainous areas. By dividing the macroscopic scale of agricultural carrying capacity in mountainous areas, it obtains the carrying capacity scales for rain-fed agriculture and irrigated agriculture, completing the spatial expression conversion of agricultural carrying capacity in mountainous areas from macroscopic area statistics to microscopic patch scale. This method improves the accuracy of irrigation water demand assessment in steep slope agricultural areas, achieves deep integration of topographic factors and hydrological-meteorological processes, and accurately calculates regional rainfall and agricultural water demand to the patch scale, realizing the conversion from macroscopic to patch scale. It overcomes the uncertainty caused by scale effects in traditional methods, accurately calculating regional precipitation and agricultural water demand to the patch scale. This provides a scientific tool for the sustainable use of arable land and precise water resource management in mountainous areas. Attached Figure Description

[0013] This specification will be further described by way of exemplary embodiments, which will be described in detail with reference to the accompanying drawings. These embodiments are not limiting; in these embodiments, the same reference numerals denote the same structures, wherein: Figure 1 This is an exemplary flowchart illustrating a method for converting the carrying capacity scale of agriculture in mountainous areas, according to some embodiments of this specification. Detailed Implementation

[0014] The specific embodiments of the present invention are described below to enable those skilled in the art to understand the present invention. However, it should be understood that the present invention is not limited to the scope of the specific embodiments. For those skilled in the art, various changes are obvious as long as they are within the spirit and scope of the present invention as defined and determined by the appended claims. All inventions utilizing the concept of the present invention are protected.

[0015] Example Figure 1 This is an exemplary flowchart illustrating a method for converting the scale of agricultural carrying capacity in mountainous areas, according to some embodiments of this specification. Figure 1 As shown, the process includes the following steps. In some embodiments, the process may be executed by a processor.

[0016] S1: Obtain agricultural water availability, farmland irrigation quotas, geographic information data, and agricultural production data.

[0017] Agricultural water availability refers to the total amount of water resources allocated to agricultural production within a target administrative region.

[0018] In some embodiments, the processor can calculate the amount of available water for agriculture based on the total regional water use control index and the proportion of agricultural water use.

[0019] The comprehensive irrigation quota for farmland is the area-weighted average of the irrigation quotas for various crops in a farmland irrigation area during the same period.

[0020] Geographic information data reflects information related to temperature and soil in a target area. For example, geographic information data can include vector boundary data, temperature and precipitation data, land use data, soil type data, and elevation data.

[0021] A database is used to store geographic information data, meteorological and hydrological data, and agricultural production data.

[0022] Crop water requirement is a measure of the total amount of water that crops need to consume during their growth process.

[0023] In some embodiments, the processor can import meteorological and hydrological data into MATLAB software to calculate crop transpiration water consumption, obtain the water requirements of representative crops during the growing season in the region, and obtain the water requirements for crop growth.

[0024] In some embodiments, the expression for crop water requirement can be: ; ; in, Indicates the water requirement for crop growth. This represents the average temperature at a height of 2 meters. Represents the crop coefficient. represents crop evapotranspiration, This represents the slope of the saturated water vapor pressure curve. Indicates net radiation on crop surface. Indicates soil heat flux density. Represents the wet / dry constant. This indicates the wind speed at a height of 2 meters. Indicates saturated water vapor pressure. This indicates the actual water vapor pressure.

[0025] Meteorological and hydrological data are data related to weather and rainfall. For example, meteorological and hydrological data can include precipitation, temperature, evaporation, wind speed, and radiation.

[0026] Agricultural production data refers to data that reflects information related to crop growth. For example, agricultural production data may include major crop types, growth cycles, and water requirements.

[0027] In some embodiments, the processor can obtain geographic information data, meteorological and hydrological data, and agricultural production data by analyzing and filtering database data.

[0028] S2: By calculating the available agricultural water and the comprehensive irrigation quota for farmland, the carrying capacity of mountain agriculture at a macro scale is obtained.

[0029] In some embodiments, the expression for the carrying capacity of mountain agriculture at a macro scale can be: ; in, This indicates the carrying capacity of mountain agriculture on a macro scale. Indicates the amount of water available for agriculture. This indicates the comprehensive irrigation quota for farmland.

[0030] S3: The effective precipitation is obtained by calculating the geographic information data.

[0031] Effective precipitation is the amount of precipitation that actually reaches the crop root system.

[0032] In some embodiments, the processor may implement S3 based on the following steps: according to the geographic information data, using the slope factor, correcting the runoff coefficient of the target area to obtain the corrected runoff coefficient of the target area; by analyzing the geographic information data and the corrected runoff coefficient of the target area, obtaining the runoff volume of the target area; and by calculating the difference between the rainfall and the runoff volume of the target area, obtaining the effective precipitation.

[0033] In some embodiments, the processor can use geographic information data to integrate soil type, previous soil moisture level (AMC) table, topographic parameters and land use patterns to look up the localized CN value table and hydrological soil type classification table in China to determine the runoff coefficient of the target area; wherein, the hydrological soil type classification table, the localized CN value table in China and the previous soil moisture level table are shown in Table 1, Table 2 and Table 3, respectively.

[0034] Table 1 Classification of Hydrological and Soil Types

[0035] Table 2. Chinese Localization CN Value Table

[0036] Table 3. Soil Moisture Level in the Early Stages

[0037] The runoff volume of the target area is data representing the actual amount of runoff in the target area.

[0038] In some embodiments, the processor can use the Runoff Curve Number Model (SCS-CN model) to analyze geographic information data of the target area to obtain the runoff volume of the target area.

[0039] The slope factor is a parameter used to correct for the influence of slope on the runoff coefficient of a target area. For example, the slope factor can be the average slope.

[0040] The corrected target area runoff coefficient is the runoff coefficient of the target area after adjusting for the slope effect.

[0041] In some embodiments, the expression for the modified target area runoff coefficient can be: ; in, This represents the corrected runoff coefficient for the target area. Indicates the runoff coefficient of the target area. This represents the slope factor.

[0042] In some embodiments, the processor can also use the runoff coefficient of the target area to obtain the drought and wet conditions of the target area: ; ; in, Indicates drought conditions. Indicates humid conditions.

[0043] S4: Based on the effective precipitation and crop water requirements, the distribution area of ​​rain-fed agricultural land in mountainous areas is delineated by calculation, and the carrying capacity of mountainous agriculture at the macro scale is divided to obtain rain-fed agricultural plots, which are used as the carrying capacity of rain-fed agriculture.

[0044] The scale that rain-fed agriculture can support represents the sum of the areas of land that can meet the water consumption of major crops by effective rainfall at the patch scale.

[0045] In some embodiments, the carrying capacity of rain-fed agriculture can be expressed as: ; ; in, This indicates the scale that rain-fed agriculture can support. This indicates the area of ​​suitable land for rain-fed agriculture. Indicates the area of ​​cultivated land. Indicates effective precipitation. This indicates the amount of water required for crop growth.

[0046] In some embodiments, the processor can calculate the water requirements of representative crops in a region, import meteorological and hydrological data from meteorological stations into MATLAB software, calculate crop transpiration water consumption according to the Penman formula, and obtain the water requirements of representative crops during the growing season in the region.

[0047] By coupling the slope-corrected CN value with the parameter-localized Penman formula, the accuracy of irrigation water demand assessment in steep slope agricultural areas was improved.

[0048] S5: Based on the effective precipitation, the agricultural production data, and the rain-fed agricultural plots, the carrying capacity of mountain agriculture at the macro scale is divided by calculation to obtain the water requirements of irrigated agricultural plots and irrigated farmland; based on the available agricultural water and the water requirements of irrigated farmland, the carrying capacity of irrigated agriculture is determined.

[0049] The carrying capacity of irrigated agriculture is the sum of the land areas where irrigated agriculture can meet the water consumption of major crops. For example, the carrying capacity of irrigated agriculture can include the water demand of irrigated agricultural land.

[0050] In some embodiments, the processor can calculate the carrying capacity of irrigated agriculture based on effective precipitation, agricultural production data, and the distribution of rainfed agriculture.

[0051] In some embodiments, the processor can use the water balance equation, namely the mountainous agricultural irrigation water demand mathematical model (MAIWR model), to obtain the water demand of irrigated agricultural land.

[0052] The carrying capacity of irrigated aquaculture is expressed as follows: ; ; ; in, This indicates the carrying capacity of irrigated agriculture. This indicates the area of ​​irrigated agricultural land. This indicates the area of ​​agricultural land that can be irrigated using available agricultural water. Indicates the amount of water available for agriculture. This indicates the irrigation water requirement for agricultural land. This represents the regional total water consumption control target. This indicates the proportion of water used in agriculture.

[0053] In some embodiments, the expression for the water requirement of irrigated agricultural land can be: ; in, This indicates the water requirement for irrigated agricultural land. Indicates rainfall amount, Indicates the initial loss coefficient. This represents the corrected runoff coefficient for the target area. Represents the crop coefficient. Represents crop evapotranspiration.

[0054] S6: Calculate the carrying capacity of rain-fed agriculture and the carrying capacity of irrigated agriculture to obtain the dynamic evaluation results of the spatial distribution area of ​​the carrying capacity of mountain agriculture, and complete the transformation of the carrying capacity of mountain agriculture from macro-scale area statistics to micro-scale spatial expression.

[0055] The dynamic assessment results of irrigation water demand in mountainous areas are data that reflect the carrying capacity of agricultural production in mountainous areas.

[0056] In some embodiments, the processor can assess the carrying capacity of mountain agriculture based on the carrying capacity of rain-fed agriculture and the carrying capacity of irrigated agriculture, according to the water surplus and deficit of regional irrigation water availability and irrigation water demand, and obtain the dynamic assessment results of irrigation water demand in mountain agriculture, thus completing the spatial expression transformation of mountain agriculture carrying capacity from macro-scale area statistics to micro-scale patch scale.

[0057] In some embodiments of this specification, a method for converting the scale of agricultural carrying capacity in mountainous areas is provided. This method divides the macroscopic carrying capacity of mountainous agriculture into rain-fed and irrigated agricultural carrying capacities, thus converting the agricultural carrying capacity from macroscopic area statistics to a spatial representation at the microscopic patch scale. This approach improves the accuracy of irrigation water demand assessment in steep slope agricultural areas, achieves deep integration of topographic factors and hydrological-meteorological processes, and precisely calculates regional rainfall and agricultural water demand at the patch scale. It overcomes the uncertainties caused by scale effects in traditional methods, providing a scientific tool for the sustainable use of arable land and precise water resource management in mountainous areas.

Claims

1. A method for converting the scale of agricultural carrying capacity in mountainous areas, characterized in that, include: S1: Obtain agricultural available water volume, farmland comprehensive irrigation quota, geographic information data, and agricultural production data; S2: By calculating the available agricultural water and the comprehensive irrigation quota for farmland, the carrying capacity of mountain agriculture at a macro scale is obtained; S3: The effective precipitation is obtained by calculating the geographic information data; S4: Based on the effective precipitation and crop growth water requirements, the distribution area of ​​rain-fed agricultural land in mountainous areas is delineated by calculation, and the carrying capacity of mountainous agriculture at the macro scale is divided to obtain rain-fed agricultural plots, which are used as the carrying capacity of rain-fed agriculture. S5: Based on the effective precipitation, the agricultural production data, and the rain-fed agricultural plots, the carrying capacity of mountain agriculture at the macro scale is divided by calculation to obtain the water requirements of irrigated agricultural plots and irrigated farmland; based on the available agricultural water and the water requirements of irrigated farmland, the carrying capacity of irrigated agriculture is determined. S6: Calculate the carrying capacity of rain-fed agriculture and the carrying capacity of irrigated agriculture to obtain the dynamic evaluation results of the spatial distribution area of ​​the carrying capacity of mountain agriculture, and complete the transformation of the carrying capacity of mountain agriculture from macro-scale area statistics to micro-scale spatial expression.

2. The method for converting the scale of agricultural carrying capacity in mountainous areas according to claim 1, characterized in that, The expression for the carrying capacity of mountain agriculture at the macro scale is: ； in, This indicates the carrying capacity of mountain agriculture on a macro scale. Indicates the amount of water available for agriculture. This indicates the comprehensive irrigation quota for farmland.

3. The method for converting the scale of agricultural carrying capacity in mountainous areas according to claim 1, characterized in that, The expression for the crop water requirement is: ； ； in, Indicates the water requirement for crop growth. This represents the average temperature at a height of 2 meters. Represents the crop coefficient. represents crop evapotranspiration, This represents the slope of the saturated water vapor pressure curve. Indicates net radiation on crop surface. Indicates soil heat flux density. Represents the wet / dry constant. This indicates the wind speed at a height of 2 meters. Indicates saturated water vapor pressure. This indicates the actual water vapor pressure.

4. The method for converting the scale of agricultural carrying capacity in mountainous areas according to claim 1, characterized in that, S3 includes: Based on the geographic information data, the runoff coefficient of the target area is corrected using the slope factor to obtain the corrected runoff coefficient of the target area. By analyzing geographic information data and the corrected runoff coefficient of the target area, the runoff volume of the target area is obtained. The effective precipitation is obtained by calculating the difference between the rainfall and the runoff in the target area.

5. The method for converting the scale of agricultural carrying capacity in mountainous areas according to claim 3, characterized in that, The expression for the corrected target area runoff coefficient is as follows: ； in, This represents the corrected runoff coefficient for the target area. Indicates the runoff coefficient of the target area. This represents the slope factor.

6. The method for converting the scale of agricultural carrying capacity in mountainous areas according to claim 1, characterized in that, The expression for the carrying capacity of rain-fed agriculture is: ； ； in, This indicates the scale that rain-fed agriculture can support. This indicates the area of ​​suitable land for rain-fed agriculture. Indicates the area of ​​cultivated land. Indicates effective precipitation. This indicates the amount of water required for crop growth.

7. The method for converting the scale of agricultural carrying capacity in mountainous areas according to claim 1, characterized in that, The expression for the water requirement of irrigated agricultural land is as follows: ； in, This indicates the water requirement for irrigated agricultural land. Indicates rainfall amount, Indicates the initial loss coefficient. This represents the corrected runoff coefficient for the target area. Represents the crop coefficient. Represents crop evapotranspiration.

8. The method for converting the scale of agricultural carrying capacity in mountainous areas according to claim 1, characterized in that, The expression for the carrying capacity of the irrigated aquaculture is: ； ； ； in, This indicates the carrying capacity of irrigated agriculture. This indicates the area of ​​irrigated agricultural land. This indicates the area of ​​agricultural land that can be irrigated using available agricultural water. Indicates the amount of water available for agriculture. This indicates the irrigation water requirement for agricultural land. This represents the regional total water consumption control target. This indicates the proportion of water used in agriculture.

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