CN114139996A - High-standard farmland construction evaluation method based on urban and rural global development - Google Patents
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Abstract
The invention provides a high-standard farmland construction evaluation method based on urban and rural global development, which comprises the following steps of obtaining ecological data, spatial form data, peripheral matching data and peripheral town development data of a farmland to be evaluated; judging whether the farmland to be evaluated is a high-standard farmland or not by adopting a multi-factor evaluation and correction factor combined mode according to ecological data, spatial form data, peripheral matching data and peripheral town development data of the farmland to be evaluated; the method makes the evaluation of the high-standard farmland which can be adapted to the region on the basis of the farmland data of the region where the farmland to be evaluated is located, introduces the development data of peripheral towns, increases the evaluation standard dimensionality of the high-standard farmland, and further enables the high-standard farmland evaluated through the method to have higher referential performance.
Description
Technical Field
The invention relates to the technical field of farmland construction, in particular to a high-standard farmland construction evaluation method based on urban and rural global development.
Background
The high-standard farmland is a high-standard basic farmland which is built in a centralized connection manner, matched with facilities, high and stable in yield, good in ecology, strong in disaster resistance and suitable for modern agricultural production and operation modes within a defined basic farmland protection area, can effectively enhance the grain safety guarantee capability when being built, and has important significance for agricultural modernization.
At present, the evaluation of whether the farmland is suitable for building high-standard farmlands is mature day by day to form a relatively perfect evaluation method, but no relatively perfect evaluation method or model exists for judging whether the farmland with improved building meets or accords with the standard of the high-standard farmlands.
Because of differences among regions, if the same evaluation model is used, deviation of evaluation results is caused, so that it is necessary to make a high-standard farmland evaluation model more suitable for the regions according to the differences among the regions, and meanwhile, the existing evaluation model mostly lacks factors considering urban and rural global development.
In view of the above problems, the present application is expected to provide a high-standard farmland evaluation method that can still reasonably adapt to a corresponding region under the condition of urban and rural global development.
Disclosure of Invention
The invention aims to provide a high-standard farmland construction evaluation method based on urban and rural global development, which can realize high-standard farmland evaluation suitable for each region under the condition of urban and rural global development.
The embodiment of the invention is realized by the following technical scheme:
in a first aspect, a high-standard farmland construction evaluation method based on urban and rural global development is provided, which comprises the following steps,
acquiring ecological data, spatial form data, peripheral matching data and peripheral town development data of a farmland to be evaluated;
judging whether the farmland to be evaluated is a high-standard farmland or not by adopting a multi-factor evaluation and correction factor combined mode according to ecological data, spatial form data, peripheral matching data and peripheral town development data of the farmland to be evaluated;
the ecological data comprise effective soil layer thickness data, surface soil texture data, soil organic matter content data and profile configuration data; the spatial form data comprises elevation data, gradient data, connecting degree data and plaque shape index data; the peripheral matching data comprises irrigation guarantee rate, drainage guarantee rate and field road access rate; the peripheral town development data comprise farmland distance data, township rate data and town development index data;
the method for judging whether the farmland to be evaluated is a high-standard farmland by combining the multi-factor evaluation with the correction factor specifically comprises the steps of taking the ecological data, the spatial form data and the peripheral supporting data as input data of the multi-factor evaluation to obtain a multi-factor evaluation result, and then taking the peripheral town development data as the input data to obtain the correction factor; finally, multiplying the multi-factor evaluation result by a correction factor to obtain a final evaluation score, and judging whether the farmland is a high-standard farmland according to the score condition;
the multi-factor evaluation result obtained by using the ecological data, the spatial form data and the peripheral matching data as input data of the multi-factor evaluation is specifically that effective soil layer thickness data, surface soil texture data, soil organic matter content data, profile configuration data, elevation data, gradient data, connecting piece degree data, patch shape index data, irrigation guarantee rate, drainage guarantee rate, quantitative scores of field road access rate and corresponding weight values are obtained according to a preset quantitative standard of a region where a farmland to be evaluated is located, quantitative scores of other farmlands in the region where the farmland to be evaluated is located are also required to be obtained, and scores of the data of the farmland to be evaluated are obtained according to the quantitative scores of the data of all the farmlands, as shown in the following formula (1),
the method comprises the following steps of obtaining relevant data, wherein S is the score of the relevant data, n is the total number of farmlands in the region where the farmlands to be evaluated are located, and r is the ranking condition of the relevant data of the farmlands to be evaluated in all the farmlands in the region where the relevant data are located; finally, products obtained by multiplying the scores S of various data of the farmland to be tested by corresponding weights are added to obtain the result of the multi-factor evaluation;
the correction factor obtained by using the peripheral town development data as input data is specifically that the score of the distance data from the farmland to the town, the town conversion rate data and the town development index data is obtained according to the preset quantization standard of the region where the farmland to be evaluated is located, the correction factor is obtained according to the following formula (2),
X＝0.5y1×0.2y2×0.3y3(2)
wherein X is a correction factor, y1Scoring distance data of farmland from town, y2Scoring the urbanization rate data, y3And scoring the town development index data.
Further, the multi-factor evaluation result is multiplied by a correction factor to obtain a final evaluation score, which is specifically shown in the following formula (3),
and Q is the final evaluation score, i represents the ith item in each item of the effective soil layer thickness data, the surface soil texture data, the soil organic matter content data, the section configuration data, the elevation data, the gradient data, the connecting degree data, the patch shape index data, the irrigation guarantee rate, the drainage guarantee rate and the field road access rate which are sequentially arranged, and Q is the weight corresponding to each item of the data.
Further, the quantitative score of the irrigation guarantee rate is obtained by scoring the distance between the irrigation canal and the farthest point from the irrigation canal in the farmland to be evaluated and scoring the gradient of the distance between the irrigation canal and the farthest point from the irrigation canal in the farmland to be evaluated, as shown in the following formula (4),
wherein D is the quantitative score of the irrigation guarantee rate, J is the distance score, and P is the slope score; the distance score is obtained specifically as follows, 1 minute is obtained when the distance is less than 10 meters, 0.8 minute is obtained when the distance is 10-30 meters, 0.5 minute is obtained when the distance is 30-50 meters, and 0.2 minute is obtained when the distance is more than 50 meters; the grade score is obtained specifically as follows, when the grade is 0-1 degree, the grade is 0.8 point, when the grade is 1-2 degrees, the grade is 1 point, when the grade is 2-3 degrees, the grade is 0.7 point, and when the grade is more than 3 degrees, the grade is 0.5 point.
In a second aspect, an electronic device is provided, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the method for evaluating high-standard farmland construction based on urban and rural global development is implemented.
In a third aspect, a storage medium is provided, on which a computer program is stored, and the computer program, when executed by a processor, implements the high-standard farmland construction evaluation method based on urban and rural global development as described above.
The technical scheme of the embodiment of the invention at least has the following advantages and beneficial effects:
this application makes the evaluation that can adapt to the high standard farmland in this area through using the farmland data in the area of waiting to evaluate the farmland as the basis, introduces peripheral town development data simultaneously, increases the evaluation standard dimension in high standard farmland, and then makes the high standard farmland that evaluates through this application more have the referential.
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Fig. 1 is a flow chart of the high-standard farmland construction evaluation method based on urban and rural global development of the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
The large-scale construction of high-standard drought and flood conservation farmlands is an important strategic measure in China at present, and has important significance for promoting the comprehensive management and protection of the quantity, quality and ecology of cultivated land, enhancing the national food safety guarantee capability and promoting the agricultural modernization and the construction of new rural areas; the evaluation standard and the method of the farmland can be called as a high-standard farmland, which has guiding significance for the construction of the high-standard farmland, but the evaluation of the high-standard farmland at the present stage rarely considers the development condition of towns, and the rapid development of the towns has great demand on land utilization, so that the high-quality construction of the farmland land utilization is easily influenced; secondly, the existing evaluation standard of the high-standard farmland does not consider the difference between regions, so that the farmland with different regional conditions uses the same evaluation system, and is very unfriendly to the regions with poor conditions.
Based on the above problems, the present application provides a high-standard farmland construction evaluation method based on urban and rural global development, as shown in fig. 1, comprising the following steps,
acquiring ecological data, spatial form data, peripheral matching data and peripheral town development data of a farmland to be evaluated; the ecological data comprise effective soil layer thickness data, surface soil texture data, soil organic matter content data and profile configuration data; the spatial form data comprises elevation data, gradient data, connecting degree data and plaque shape index data; the peripheral matching data comprises irrigation guarantee rate, drainage guarantee rate and field road access rate; the surrounding town development data comprise farmland distance data, township rate data and town development index data.
And judging whether the farmland to be evaluated is a high-standard farmland or not by adopting a multi-factor evaluation and correction factor combined mode according to the ecological data, the spatial form data, the peripheral matching data and the peripheral town development data of the farmland to be evaluated.
Judging whether the farmland to be evaluated is a high-standard farmland by combining multi-factor evaluation with a correction factor, namely, taking the ecological data, the spatial form data and the peripheral matching data as input data of the multi-factor evaluation to obtain a multi-factor evaluation result, and then taking the peripheral town development data as the input data to obtain the correction factor; and finally, multiplying the multi-factor evaluation result by the correction factor to obtain a final evaluation score, and judging whether the farmland is a high-standard farmland or not according to the score condition.
The ecological data, the spatial form data and the peripheral matching data are used as input data of multi-factor evaluation to obtain a multi-factor evaluation result, firstly effective soil layer thickness data, surface soil texture data, soil organic matter content data, profile configuration data, elevation data, gradient data, connecting degree data, patch shape index data, irrigation guarantee rate, drainage guarantee rate, quantitative scores of field road access rate and corresponding weight values are obtained according to a preset quantitative standard of a region where a farmland to be evaluated is located, meanwhile, quantitative scores of various data of other farmlands in the region where the farmland to be evaluated is located are also required to be obtained, and then scores of various data of the farmland to be evaluated are obtained according to the quantitative scores of various data of all farmlands, as shown in the following formula (1),
the method comprises the following steps of obtaining relevant data, wherein S is the score of the relevant data, n is the total number of farmlands in the region where the farmlands to be evaluated are located, and r is the ranking condition of the relevant data of the farmlands to be evaluated in all the farmlands in the region where the relevant data are located; and finally, adding products obtained by multiplying the scores S of the various data of the farmland to be tested by the corresponding weights to obtain the result of the multi-factor evaluation.
According to the method, not only the quality of the farmland itself needs to be considered, but also the situation of the locations and the development of the surrounding towns need to be comprehensively considered, and particularly, the situation of the farmland locations and the development of the surrounding towns are used as correction factors to further correct the multi-factor evaluation result.
Specifically, the correction factor obtained by using the peripheral town development data as the input data is obtained by obtaining the distance data from the farmland to the town, the township rate data and the score of the town development index data according to the preset quantization standard of the region where the farmland to be evaluated is located, obtaining the correction factor according to the following formula (2),
X＝0.5y1×0.2y2×0.3y3 (2)
wherein X is a correction factor, y1Scoring distance data of farmland from town, y2Scoring the urbanization rate data, y3And scoring the town development index data.
Finally, multiplying the multi-factor evaluation result by a correction factor to obtain a final evaluation score, which is specifically shown in the following formula (3),
wherein Q is a final evaluation score, i represents the ith item in each item of the effective soil layer thickness data, the surface soil texture data, the soil organic matter content data, the profile configuration data, the elevation data, the gradient data, the connecting degree data, the patch shape index data, the irrigation guarantee rate, the drainage guarantee rate and the field road access rate which are sequentially arranged, and Q is the weight corresponding to each item; in the formula (3), 11 is an 11-term index of the self-quality of the farm field, as described above.
The method is suitable for the areas with various conditions, and meanwhile, the method carries out multi-factor evaluation on the self quality of the farmland, combines zone bits and town development conditions as correction factors, corrects the multi-factor evaluation scores, further obtains a set of evaluation system with self-adaptive regional conditions, has numerous consideration factors, and can effectively evaluate the high-standard farmland of the areas.
In the application, as for the acquisition of the irrigation guarantee rate, the distance between the irrigation canal and the farthest point from the irrigation canal in the farmland to be evaluated and the slope comprehensive score between the irrigation canal and the farthest point from the irrigation canal in the farmland to be evaluated are mainly used for acquiring, so that the method has a better reference meaning, the quantitative score of the irrigation guarantee rate is obtained through the distance score between the irrigation canal and the farthest point from the irrigation canal in the farmland to be evaluated and the slope score between the irrigation canal and the farthest point from the irrigation canal in the farmland to be evaluated, as shown in the following formula (4),
wherein D is the quantitative score of the irrigation guarantee rate, J is the distance score, and P is the slope score; the distance score is obtained specifically as follows, 1 minute is obtained when the distance is less than 10 meters, 0.8 minute is obtained when the distance is 10-30 meters, 0.5 minute is obtained when the distance is 30-50 meters, and 0.2 minute is obtained when the distance is more than 50 meters; the grade score is obtained specifically as follows, when the grade is 0-1 degree, the grade is 0.8 point, when the grade is 1-2 degrees, the grade is 1 point, when the grade is 2-3 degrees, the grade is 0.7 point, and when the grade is more than 3 degrees, the grade is 0.5 point.
Meanwhile, the application also provides an electronic device which comprises a memory, a processor and a computer program which is stored on the memory and can be run on the processor, wherein when the processor executes the program, the high-standard farmland construction evaluation method based on urban and rural global development is realized.
Finally, the present application also provides a storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the method for evaluating high-standard farmland construction based on urban and rural global development as described above.
This application makes the evaluation that can adapt to the high standard farmland in this area through using the farmland data in the area of waiting to evaluate the farmland as the basis, introduces peripheral town development data simultaneously, increases the evaluation standard dimension in high standard farmland, and then makes the high standard farmland that evaluates through this application more have the referential.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes will occur to those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (5)
1. A high-standard farmland construction evaluation method based on urban and rural global development is characterized by comprising the following steps,
acquiring ecological data, spatial form data, peripheral matching data and peripheral town development data of a farmland to be evaluated;
judging whether the farmland to be evaluated is a high-standard farmland or not by adopting a multi-factor evaluation and correction factor combined mode according to ecological data, spatial form data, peripheral matching data and peripheral town development data of the farmland to be evaluated;
the ecological data comprise effective soil layer thickness data, surface soil texture data, soil organic matter content data and profile configuration data; the spatial form data comprises elevation data, gradient data, connecting degree data and plaque shape index data; the peripheral matching data comprises irrigation guarantee rate, drainage guarantee rate and field road access rate; the peripheral town development data comprise farmland distance data, township rate data and town development index data;
the method for judging whether the farmland to be evaluated is a high-standard farmland by combining the multi-factor evaluation with the correction factor specifically comprises the steps of taking the ecological data, the spatial form data and the peripheral supporting data as input data of the multi-factor evaluation to obtain a multi-factor evaluation result, and then taking the peripheral town development data as the input data to obtain the correction factor; finally, multiplying the multi-factor evaluation result by a correction factor to obtain a final evaluation score, and judging whether the farmland is a high-standard farmland according to the score condition;
the multi-factor evaluation result obtained by using the ecological data, the spatial form data and the peripheral matching data as input data of the multi-factor evaluation is specifically that effective soil layer thickness data, surface soil texture data, soil organic matter content data, profile configuration data, elevation data, gradient data, connecting piece degree data, patch shape index data, irrigation guarantee rate, drainage guarantee rate, quantitative scores of field road access rate and corresponding weight values are obtained according to a preset quantitative standard of a region where a farmland to be evaluated is located, quantitative scores of other farmlands in the region where the farmland to be evaluated is located are also required to be obtained, and scores of the data of the farmland to be evaluated are obtained according to the quantitative scores of the data of all the farmlands, as shown in the following formula (1),
the method comprises the following steps of obtaining relevant data, wherein S is the score of the relevant data, n is the total number of farmlands in the region where the farmlands to be evaluated are located, and r is the ranking condition of the relevant data of the farmlands to be evaluated in all the farmlands in the region where the relevant data are located; finally, products obtained by multiplying the scores S of various data of the farmland to be tested by corresponding weights are added to obtain the result of the multi-factor evaluation;
the correction factor obtained by using the peripheral town development data as input data is specifically that the score of the distance data from the farmland to the town, the town conversion rate data and the town development index data is obtained according to the preset quantization standard of the region where the farmland to be evaluated is located, the correction factor is obtained according to the following formula (2),
X＝0.5y1×O.2y2×0.3y3 (2)
wherein X is a correction factor, y1Scoring distance data of farmland from town, y2Scoring the urbanization rate data, y3And scoring the town development index data.
2. The method according to claim 1, wherein the multi-factor evaluation result is multiplied by a correction factor to obtain a final evaluation score, which is shown in the following formula (3),
and Q is the final evaluation score, i represents the ith item in each item of the effective soil layer thickness data, the surface soil texture data, the soil organic matter content data, the section configuration data, the elevation data, the gradient data, the connecting degree data, the patch shape index data, the irrigation guarantee rate, the drainage guarantee rate and the field road access rate which are sequentially arranged, and Q is the weight corresponding to each item of the data.
3. The method according to claim 1, wherein the quantitative score of the irrigation assurance rate is obtained from a distance score between the irrigation canal and a point of the farmland to be evaluated farthest from the irrigation canal and a gradient score between the irrigation canal and a point of the farmland to be evaluated farthest from the irrigation canal, as shown in the following formula (4),
wherein D is the quantitative score of the irrigation guarantee rate, J is the distance score, and P is the slope score; the distance score is obtained specifically as follows, 1 minute is obtained when the distance is less than 10 meters, 0.8 minute is obtained when the distance is 10-30 meters, 0.5 minute is obtained when the distance is 30-50 meters, and 0.2 minute is obtained when the distance is more than 50 meters; the grade score is obtained specifically as follows, when the grade is 0-1 degree, the grade is 0.8 point, when the grade is 1-2 degrees, the grade is 1 point, when the grade is 2-3 degrees, the grade is 0.7 point, and when the grade is more than 3 degrees, the grade is 0.5 point.
4. An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the method for evaluating high-standard farmland construction based on urban and rural global development according to any one of claims 1 to 3 when executing the program.
5. A storage medium on which a computer program is stored, wherein the computer program, when executed by a processor, implements the method for evaluating high-standard farmland construction based on urban and rural global development according to any one of claims 1 to 3.
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