CN111652521A - Assessment method for quality of farmland after renovation - Google Patents
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Abstract
The invention discloses a method for evaluating the quality of cultivated land after renovation, which relates to the field of cultivated land evaluation and comprises the following steps: 1) determining a standard farming system and an index area; 2) checking the crop production potential index; 3) and (5) surveying land input and output. The quality of the cultivated land after the renovation is scientifically and effectively evaluated, the double balance of cultivated land supplement, the occupied cultivated land quantity and the yield energy is realized, and the national food safety is ensured.
Description
Technical Field
The invention relates to a method for evaluating the quality of a cultivated land after renovation and the like, and mainly relates to the field of cultivated land evaluation.
Background
The cultivated land capacity after the renovation may have larger difference, the number of the cultivated land is reasonably planned according to the capacity of different cultivated lands, and the balance of the cultivated land number and the capacity is favorably realized. But how to carry out scientific evaluation on the recuperated farmland is a problem encountered at present.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a method for assessing the quality of the cultivated land after the renovation and the like, which is used for scientifically and effectively evaluating the quality of the renovated cultivated land, realizing the double balance of supplementary cultivated land, the occupied cultivated land quantity and the yield energy and ensuring the national food safety.
In order to achieve the purpose, the technical scheme of the invention is as follows: the method comprises the following steps: 1) determining a standard cultivation system and an index area; 2) checking the crop production potential index; 3) and (5) surveying land input and output.
Preferably, the step 1) specifically refers to an index system for evaluating influence factors of agricultural land grading.
Step 1), specifically, calculating the natural quality score of the supplementary cultivated land:
CLjthe natural quality score of the cultivated land of the j-th appointed crop of the newly-increased cultivated land; wkThe weight of the k-th ranking factor; f. ofjkAnd (5) taking the value of the index score of the kth equal evaluation factor of the j-th specific crop in the newly-increased farmland as (0-100).
Preferably, step 2) specifically determines a crop yield ratio coefficient, and calculates natural equivalence indexes and equivalence according to step 1) and step 2):
Rj＝∝tj×CLj×βj
R＝∑Rj
Rjnatural equal index of j designated crop for newly-increased farmland, R is natural equal index of newly-increased farmland αtjThe light-temperature (climate) production potential index of the j-th crop βjIs the yield ratio coefficient of the j-th crop.
Preferably, the index and the grade of the nature of the cultivated land are calculated according to the step 1) and the step 2).
Yj＝Rj×K1j
Y＝∑Yj
YjUtilization index of j designated crop for newly-increased farmland; y is an index such as utilization of newly-increased cultivated land; k'ljAnd specifying the land utilization coefficient of the j-th designated crop for the newly-increased farmland.
Preferably, a land use coefficient is calculated:
Kcjthe land economic coefficient of the j designated crop for the ith sampling point is calculated; a isijAssigning a crop "yield-cost" index for the ith unit, jth; a. thejMaximum value of "yield-cost" index for the j-th designated crop in the urban subarea.
Preferably, the arable land economy and the like index are calculated using the equal index, the economy and the like index and using other determinations:
Gj＝Yj×KCj
G＝∑Gj
Gjeconomic index of the agricultural land of the j-th designated crop in newly-increased farmland; kCjThe land economic coefficient of the j-th designated crop in the equal value area where the grading unit is located; g is the index of economy of newly-increased cultivated land.
The invention has the beneficial effects that: the quality of the cultivated land after the renovation is scientifically and effectively evaluated by the scheme, the double balance of supplementary cultivated land, the occupied cultivated land quantity and the yield is realized, and the national grain safety is ensured.
Detailed Description
The technical solutions of the present invention will be described clearly and completely below, and it should be understood that the described embodiments are only preferred embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Examples
The embodiment of the invention comprises the following steps: 1. determining a standard farming system and an index area; 2) checking the crop production potential index; 3) and (5) surveying land input and output.
The method specifically comprises the following steps:
1 basic data Collection
The assessment data of the quality of the cultivated land after the renovation and the like specifically comprise:
1.1 assessment results (database, table, report, etc.) of the quality of cultivated land in the area of project.
1.2 planning design drawing of land improvement project, implementation scheme, project completion drawing, 1:10000 change drawing of current land utilization situation, statistics of land utilization area, measurement and calculation report of newly-increased cultivated land and the like.
1.3 project area 1:10000 as-built change map of the current land use situation.
1.4 the soil, hydrology, climate, social and economic data of project area.
2 assessment Unit partitioning
The land arrangement project is based on 1:10000 land utilization status change diagrams after the land arrangement project is finished, and cultivated land pattern spots within the project red line range are selected as evaluation units; the land development project updates the unused land or other grassland pattern spot land types into cultivated land to be used as an evaluation unit; one patch (plot) of land reclamation project for land reclamation or rural construction land reclamation can be used as an evaluation unit. The evaluation unit does not in principle do the merging or splitting process. The evaluation unit determines that an attribute field is to be created (see table 1), and an evaluation workbook is created according to the drawing standard.
3 rating base map determination
The evaluation base map is an important basis for constructing a database and is also an important platform for carrying out connection with the annual updating work of farmland quality and the like.
For the quality-improved land improvement project, because the cultivated land pattern spots are reflected on the land utilization state diagram, the land utilization state diagram is taken as a working base diagram, and the evaluation of the project area cultivated land quality is completed by updating the evaluation factors of the base diagram.
For newly-increased cultivated land projects, land type change is carried out on the land utilization current map, and then the quality of the cultivated land map spots and the like are evaluated.
After the assessment results of the farmland quality and the like of the project area are determined, each farmland pattern spot on the current land utilization state diagram should store the information of the farmland quality and the like.
TABLE 1 XX project arable land quality grade evaluation attribute field structure table
4 determining basic parameters and evaluation factors
And sequentially determining parameters (published by a land related department) required for assessing the quality of the land reclamation farmland according to the assessment results of the quality of the farmland in the prefecture and county level administrative district where the land reclamation project is located. The method comprises the following specific steps:
a secondary index area: and directly adopting a secondary index area determined in the assessment of the cultivated land quality and the like of the district-county administrative district where the project is located.
And (3) standard cultivation system: directly adopting a standard farming system determined in the assessment of the quality and the like of the farmland in the district-county administrative district where the project is located.
Reference crop and designated crop: directly adopting the standard crops and the designated crops determined in the assessment of the quality and the like of the cultivated land of the district-county administrative district where the project is located.
Crop light and temperature (climate) production potential: the light-temperature production potential index is suitable for dry land which has the cultivated land type of paddy field and irrigation condition after renovation and can fully meet the growth requirement of crops. The crop light-temperature production potential value can be directly determined by the crop light-temperature production potential determined in the assessment of the quality of cultivated land in the county-level administrative district where the project is located and the like. The climate production potential index is suitable for dry land without irrigation conditions.
Yield ratio coefficient: directly adopting the yield ratio coefficient determined in the assessment of the quality and the like of the cultivated land in the county-level administrative district where the project is located.
Grading factors: directly adopting the factors determined by the assessment of the quality of the cultivated land in the county-level administrative district where the project is located and the like. The quality of the cultivated land in Chongqing city is evaluated by adopting 8 factors, namely the elevation, the gradient, the terraced land condition, the effective soil layer thickness, the soil organic matter content, the soil PH, the soil surface texture and the irrigation guarantee rate.
Scoring rules table: the scoring rule table of 'designated crop-grading factor-natural quality grading' for the quality grade assessment of cultivated land in the county-level administrative region where the project is located is directly adopted.
5 field supplementary survey
When project data are incomplete or the detail degree does not meet the evaluation requirement, field supplementary investigation needs to be carried out. And (4) carrying out key survey on the crop yield of the project area and checking the condition content of the project facility of the project area. The method specifically comprises factors (such as drainage conditions, terrain gradients, irrigation guarantee rate, effective soil thickness and the like) caused by changes of farmland basic conditions and soil fertility factor values (such as soil organic matters, pH values and the like) of newly-increased cultivated land. The object of the regulation evaluation is to meet the condition that newly-increased cultivated land can reach normal planting only through a fertilizing measure for cultivated land with relatively stable fertility and long-term cultivation, and the value of the soil fertility factor of the newly-increased cultivated land can directly refer to the value of the original land or the adjacent land. If the project has soil dressing engineering, the soil fertility factor value can adopt the value of soil from the soil dressing source. For the land improvement project, the evaluation factor value is changed and can be obtained from project planning and designing reports or field investigation. If the project is matched with a soil improvement project, a soil sample is collected, and the index value of the relevant factor is obtained through soil sample assay according to the technical specification of soil analysis and recorded on the record. For the land improvement project, the evaluation factor value is changed, and the evaluation factor value can be obtained and recorded from project planning and designing reports or field investigation.
6 data acquisition
And respectively acquiring the factor attributes of the project area evaluation units according to the field investigation result and the existing achievement data, converting the factor attribute attributes into evaluation factor scores through a farmland quality grading factor assigning standard table, and establishing an attribute database.
Soil organic matter content, soil pH, surface texture: according to the design of the soil dressing engineering or the soil improvement engineering, collecting a soil sample of an implementation area, and determining the organic matter content, the soil pH value and the surface layer texture of the soil of an evaluation unit through testing.
Elevation and gradient: the elevation and slope of the evaluation unit are obtained from the 1:0000DEM or project area 1:2000 topographical map.
Effective soil layer thickness: and acquiring the score of the evaluation unit in an auxiliary mode such as field investigation, reconnaissance and the like according to the topsoil stripping and the soil engineering.
The terraced condition: and acquiring the terraced land condition information in a field investigation mode according to the implementation condition of the slope changing terraced or field merging project.
Irrigation guarantee rate: and comprehensively measuring and calculating the irrigation guarantee rate of the project area according to the design standard of the farmland hydraulic engineering of the project area and by combining the reality of the project area.
7 equivalence calculation
7.1 calculating the natural quality of the cultivated land to obtain the quality evaluation factor value of each cultivated land and the like, and calculating the natural quality score which should be reached by the land reclamation cultivation land.
CLjThe natural quality score of the cultivated land of the j-th appointed crop of the newly-increased cultivated land; wkThe weight of the k-th ranking factor; f. ofjkAnd (5) taking the value of the index score of the kth equal evaluation factor of the j-th specific crop in the newly-increased farmland as (0-100).
7.2 determination of land utilization coefficient
Rj＝∝tj×CLj×βj(2)
R＝∑Rj(3)
RjNatural equal index of j designated crop for newly-increased farmland, R is natural equal index of newly-increased farmland αtjThe light-temperature (climate) production potential index of the j-th crop βjIs the yield ratio coefficient of the j-th crop.
7.3 determination of land utilization coefficient
And for newly-increased cultivated land which is not normally utilized and does not reach the normal yield level, directly adopting the land utilization coefficient of the area where the newly-increased cultivated land is located in the land improvement project.
For newly-increased cultivated land which is normally used and reaches a normal yield level, particularly a quality construction area, a land utilization coefficient is calculated primarily according to the yield of specified crops after remediation, the land utilization coefficient is compared with an equivalent area, if a difference exists, the land utilization coefficient can be compared with conditions of land flatness, irrigation and drainage facilities, field road conditions, soil layer thickness and the like of peripheral cultivated land, and the coefficient of an equivalent area of superior land utilization is determined as the land utilization coefficient after remediation by taking the equal-grade pre-evaluation value in a planning design scheme as reference. Project area coefficients cannot be calculated independently based on project area yield surveys alone.
7.4 calculating equal index of farmland utilization
The equal index of farmland utilization is calculated by the following formula:
YJ＝Rj×K′1j(4)
Y＝∑Yj(5)
Yjutilization index of j designated crop for newly-increased farmland; y is an index such as utilization of newly-increased cultivated land; k'ljAnd specifying the land utilization coefficient of the j-th designated crop for the newly-increased farmland.
7.5 determination of land economy coefficient
The land economy factor of the village in which the land improvement project is located is used in principle. If the input-output level of crops in the area of the project is greatly changed, a method for determining the land utilization coefficient can be adopted, and the soil economy coefficient can be calculated according to the formula (6).
The land economy coefficient of the designated crop is calculated by the formula (6):
Kcjthe land economic coefficient of the j designated crop for the ith sampling point is calculated; a isijAssigning a crop "yield-cost" index for the ith unit, jth; a. thejMaximum value of "yield-cost" index for the j-th designated crop in the urban subarea.
7.6 calculating economic equal index of farmland
The economic equal index formula of the newly-increased farmland is calculated as follows:
Gj＝Yj×KCj(7)
G＝∑Gj(8)
Gjeconomic index of the agricultural land of the j-th designated crop in newly-increased farmland; kCjThe land economic coefficient of the j-th designated crop in the equal value area where the grading unit is located; g is the index of economy of newly-increased cultivated land.
7.7 national level index conversion
And uniformly measuring and calculating the national grade index according to a conversion equation of the city grade index and the national grade index which are uniformly measured and calculated by the country. The calculation formula is as follows:
national grade natural grade equal index R × 1.2744-73.484
Equal index of country-level utilization (Y × 0.745+ 180.012)
Equal index of country grade utilization G × 0.7722+510.98
7.8 determining the classification of cultivated land
(1) Country, etc
The 'equidistant method' is adopted to divide the national level nature, the national level utilization and the national level economy. According to the principle of high index and low grade, the national natural grade index is more than or equal to 5600 and equal to 1, the national grade natural grade is determined according to the equal interval of 400 minutes, the national grade utilization index is equal to the economic grade index is more than or equal to 2800 and equal to 200 minutes, and the grade is determined. See table 3.
TABLE 3 corresponding relationship table of country rank and equal index
(2) Grade of city
The city level nature, the city level utilization and the city level economy also adopt an equal spacing method, according to the principle of high index low level, the city level nature, the city level utilization and the like are equal to or more than 2400 and equal to 1 and equal to 100, the city level utilization and the like are equal to or more than 1800 and equal to 1 and equal to 100 and equal to 1300 and equal to 1 and equal to 100.
TABLE 4 correspondence table between market grade and equal index
7.9 result verification
The evaluation unit and the like are different from the adjacent same-place unit in comparison by more than 2 or more than 6, and the result is verified. For example, measures such as drought changing, slope changing, foreign soil backfilling, flood drainage and the like can cause remarkable changes of the quality of cultivated land, and important inspection should be performed on the remarkable changes of the quality of cultivated land caused by the lack of measures. And checking whether the attribute value of the evaluation factor is correct, waiting for the index calculation process and whether the result is correct, and waiting for the result and the area statistics to be correct. The method is verified by an internal verification method, the total number of the spot check units is 5-10%, and the error rate is not more than 5%.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (7)
1. A method for evaluating the quality of cultivated land after renovation is characterized by comprising the following steps:
1) determining a standard farming system and an index area;
2) checking the crop production potential index;
3) and (5) surveying land input and output.
2. The method for assessing the quality of a cultivated land after renovation according to claim 1, wherein: specifically, the step 1) refers to an influence factor evaluation index system such as agricultural land.
3. The method for assessing the quality of cultivated land after renovation according to claim 2, wherein: step 1), specifically, calculating the natural quality score of the supplementary cultivated land:
CLjthe natural quality score of the cultivated land of the j-th appointed crop of the newly-increased cultivated land;
Wkthe weight of the k-th ranking factor;
fjkand (5) taking the value of the index score of the kth equal evaluation factor of the j-th specific crop in the newly-increased farmland as (0-100).
4. The method for assessing the quality of a cultivated land after renovation according to claim 1, wherein: step 2) specifically, determining a crop yield ratio coefficient, and calculating natural equivalence indexes and equivalence according to the step 1) and the step 2):
Rj＝∝tj×CLj×βj
R＝∑Rj
Rjnatural equal index of j appointed crop for newly-increased farmland;
r is the natural equal index of newly-increased cultivated land;
dtja light-temperature (climate) production potential index for a j-th crop;
βjis of the j th speciesYield ratio coefficient of crops.
5. The method for assessing the quality of a cultivated land after renovation according to claim 1, wherein:
and calculating indexes and classes of farmland nature according to the step 1) and the step 2).
YJ＝Rj×K1j
Y＝∑Yj
YjUtilization index of j designated crop for newly-increased farmland;
y is an index such as utilization of newly-increased cultivated land;
K’1jand specifying the land utilization coefficient of the j-th designated crop for the newly-increased farmland.
6. The method for assessing the quality of a cultivated land after renovation according to claim 1, wherein: calculating a land utilization coefficient:
Kcithe land economic coefficient of the j designated crop for the ith sampling point is calculated;
aijfor the ith unit, the yield-cost index of the jth designated crop;
Ajmaximum value of "yield-cost" index for the j-th designated crop in the urban subarea.
7. The method for assessing the quality of a cultivated land after renovation according to claim 1, wherein: calculating the index of farmland economy and the like by using the index of equal index, the index of economy and the like and other determinations:
Gj＝Yj×KCj
G＝∑Gj
Gjeconomic index of the agricultural land of the j-th designated crop in newly-increased farmland;
KCjassigning the j-th type of the equal-value area where the unit is positionedThe land economy factor of the crop;
g is the index of economy of newly-increased cultivated land.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112651566A (en) * | 2020-12-30 | 2021-04-13 | 湖南虹康规划勘测咨询有限公司 | Comprehensive improvement and evaluation analysis method, storage medium, terminal and system for global land |
| CN113063375A (en) * | 2021-03-16 | 2021-07-02 | 成都理工大学 | Unmanned aerial vehicle remote sensing extraction method for linear farming ridges |
| CN118014163A (en) * | 2024-04-08 | 2024-05-10 | 云南瀚哲科技有限公司 | Production obstacle farmland treatment optimization regulation and control method and system |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002140463A (en) * | 2000-08-24 | 2002-05-17 | Kurita Water Ind Ltd | Soil contaminated land evaluation method and depreciation assessment system and method by stigma |
| RU2322671C1 (en) * | 2006-07-11 | 2008-04-20 | Федеральное государственное образовательное учреждение высшего профессионального образования "Воронежский государственный аграрный университет имени К.Д. Глинки" (ФГОУ ВПО ВГАУ им. К.Д. Глинки) | Method for estimating condition of humus type soil |
| CN101546420A (en) * | 2009-04-01 | 2009-09-30 | 河北农业大学 | Evaluation method for realizing double balance of quantity and quality of intertillage land in cultivation land occupation supplement process |
| CN101546421A (en) * | 2009-04-01 | 2009-09-30 | 河北农业大学 | Provincial region comparable cultivated land quality evaluation method based on GIS |
| CN106980939A (en) * | 2017-03-31 | 2017-07-25 | 华中师范大学 | Farmland quality grade monitoring and evaluation quality detecting method |
-
2020
- 2020-06-08 CN CN202010514707.XA patent/CN111652521A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002140463A (en) * | 2000-08-24 | 2002-05-17 | Kurita Water Ind Ltd | Soil contaminated land evaluation method and depreciation assessment system and method by stigma |
| RU2322671C1 (en) * | 2006-07-11 | 2008-04-20 | Федеральное государственное образовательное учреждение высшего профессионального образования "Воронежский государственный аграрный университет имени К.Д. Глинки" (ФГОУ ВПО ВГАУ им. К.Д. Глинки) | Method for estimating condition of humus type soil |
| CN101546420A (en) * | 2009-04-01 | 2009-09-30 | 河北农业大学 | Evaluation method for realizing double balance of quantity and quality of intertillage land in cultivation land occupation supplement process |
| CN101546421A (en) * | 2009-04-01 | 2009-09-30 | 河北农业大学 | Provincial region comparable cultivated land quality evaluation method based on GIS |
| CN106980939A (en) * | 2017-03-31 | 2017-07-25 | 华中师范大学 | Farmland quality grade monitoring and evaluation quality detecting method |
Non-Patent Citations (3)
| Title |
|---|
| 刘智超等: "基于地学统计聚类分析理论的耕地质量评价研究——以江苏省赣榆县为例", 《辽宁农业科学》 * |
| 刘社堂: "风沙滩区土地开发新增耕地质量等别评定——以陕西定边县北畔村项目为例", 《西部资源》 * |
| 胡琴芬等: "土地开发整理项目新增耕地质量等别评定——以府谷县麻镇坪伦墩为例", 《农业开发与装备》 * |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112651566A (en) * | 2020-12-30 | 2021-04-13 | 湖南虹康规划勘测咨询有限公司 | Comprehensive improvement and evaluation analysis method, storage medium, terminal and system for global land |
| CN113063375A (en) * | 2021-03-16 | 2021-07-02 | 成都理工大学 | Unmanned aerial vehicle remote sensing extraction method for linear farming ridges |
| CN118014163A (en) * | 2024-04-08 | 2024-05-10 | 云南瀚哲科技有限公司 | Production obstacle farmland treatment optimization regulation and control method and system |
| CN118014163B (en) * | 2024-04-08 | 2024-06-11 | 云南瀚哲科技有限公司 | Production obstacle farmland treatment optimization regulation and control method and system |
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