Regional planning method suitable for shiny-leaved yellowhorn planting

Abstract

The invention discloses a regional planning method suitable for xanthoceras sorbifolia bunge planting, which comprises the steps of obtaining various influence factors of xanthoceras sorbifolia bunge planting, the various influence factors including climate, soil, terrain and land utilization types; determining zoning factors and zoning indexes of shiny-leaved yellowhorn planting based on the various influence factors; formulating a zoning factor grid point data set based on the zoning factors and the zoning indexes; based on the zoning factor grid point data set, obtaining refined climate zoning data of shiny-leaved yellowhorn through an agricultural climate zoning method; and processing the refined climate division data to obtain a refined shiny-leaved yellowhorn planting area planning map. According to the method, various factors influencing shiny-leaved yellowhorn planting and growth such as meteorological factors, terrain factors and land utilization type factors are comprehensively considered, and the precision of shiny-leaved yellowhorn planting area planning is improved.

Description

Technical Field

[0001] The invention belongs to the technical field of regional planning for Xanthoceras sorbifolia planting, and in particular relates to a regional planning method suitable for Xanthoceras sorbifolia planting. Background Art

[0002] As an advanced energy tree species, predecessors have conducted detailed research on Xanthoceras sorbifolia in many aspects, including its distribution and biological characteristics, reproduction and cultivation techniques, flower and fruit regulation techniques, chemical composition research and application value exploration. Relevant scholars have conducted research on its relationship with meteorological factors and climate change. Forest ecological zoning is the main basic work and important means to fully utilize and give play to climate, land resources and tree biological characteristics, and to improve the effects and benefits of afforestation and ecological construction, especially in areas with large areas and complex and changeable ecological conditions.

[0003] At present, many scholars in China have conducted research on agricultural climate resource zoning indicators, mainly through three ways to obtain agricultural climate zoning indicators. The first is to obtain agricultural zoning indicators through investigation, analysis and statistics. The second is to determine zoning indicators based on crop biological characteristics and dependence on meteorological conditions. The third is to use limiting factors or statistical methods to determine zoning indicators. This method is to determine zoning indicators based on crop growth, so as to produce zoning product maps and divide agricultural climate zones.

[0004] With the widespread use of computer and GIS technology, my country's refined agricultural climate zoning has developed rapidly in the past two decades. In terms of refined research on crop layout, various regions have successively carried out refined zoning work based on major crops and specialty crops. After the 1990s, the main zoning methods used at home and abroad include field experiments, investigations, and data analysis. The fine-grid agricultural climate zoning in Hebei Province was fully launched in 2009. It comprehensively utilized high-tech technologies such as GIS, and conducted agricultural climate resource analysis and evaluation across the province based on nearly 30 years of climate data and satellite remote sensing information. In addition, on the basis of comprehensive consideration of factors such as soil, it focused on fine-grid agricultural climate zoning for winter wheat, corn, cotton and apples, as well as agricultural meteorological disasters in Hebei Province. There has been no systematic study on the climate suitability zoning for Xanthoceras sorbifolia cultivation. Summary of the invention

[0005] In order to solve the above technical problems, the present invention proposes a regional planning method suitable for Xanthoceras sorbifolia planting, which analyzes the key meteorological factors affecting the growth of Xanthoceras sorbifolia and the climate suitability zoning to solve the problems existing in the above-mentioned prior art.

[0006] To achieve the above object, the present invention provides a regional planning method suitable for Xanthoceras sorbifolia planting, comprising:

[0007] Obtaining multiple influencing factors of Xanthoceras sorbifolia planting, wherein the multiple influencing factors include: climate, soil, topography, and land use type;

[0008] Based on the multiple influencing factors, determine the zoning factors and zoning indicators for Xanthoceras sorbifolia planting;

[0009] Based on the zoning factors and zoning indicators, a zoning factor grid data set is developed;

[0010] Based on the zoning factor grid data set, the refined climate zoning data of Xanthoceras sorbifolia is obtained through the agricultural climate zoning method;

[0011] The refined climate zoning data is processed to obtain a refined Xanthoceras sorbifolia planting area planning map.

[0012] Preferably, the process of formulating the zoning factor grid data set includes:

[0013] Based on the zoning factors and zoning indicators, the inverse distance weighted method in the geographic information software is used to interpolate or extrapolate the spatial grid point values ​​of the elements, and a zoning factor grid point data set with equal longitude and latitude projection is established.

[0014] Preferably, the process of interpolating or extrapolating the grid point values ​​of the element space using the inverse distance weighted method in the geographic information software includes:

[0015] Based on the climate and the terrain, a relationship model between climate elements and geographic information is established, and spatial estimation of climate elements is performed through the relationship model.

[0016] Preferably, the process of obtaining the refined climate zoning data of Xanthoceras sorbifolia comprises:

[0017] Based on the zoning factor grid data set, the zoning method was selected through expert scoring method, weight method, fuzzy comprehensive evaluation method, cluster analysis method and decision tree method to obtain the refined climate zoning data of Xanthoceras sorbifolia.

[0018] Preferably, the process of the zoning method includes:

[0019] Assign weights to the zoning indicators respectively, reclassify the zoning indicators, and grade them according to the degree of their influence on the suitability of Xanthoceras sorbifolia planting;

[0020] Reading the grid data of each evaluation factor after grading, multiplying the grid data by the weight of each evaluation factor to generate evaluation grid data;

[0021] Taking soil elements as limiting factors, an "XOR" operation was performed on the soil suitability of cultivated varieties and the evaluation raster data, and GIS overlay analysis was used to obtain the suitability distribution data of Xanthoceras sorbifolia.

[0022] Preferably, the degree of suitability includes: suitable, sub-suitable, and unsuitable.

[0023] Preferably, the process of obtaining a refined Xanthoceras sorbifolia planting area planning map includes:

[0024] Based on the zoning indicators, the refined climate zoning data are classified and normalized, and the agricultural climate zoning method is applied to produce a refined Xanthoceras sorbifolia planting area planning map data set with equal longitude and latitude projection, so as to obtain a refined Xanthoceras sorbifolia planting area planning map.

[0025] Preferably, the method further comprises a process of inspecting the Xanthoceras sorbifolia planting area planning map:

[0026] The regional planning map was tested through expert consultation, field investigation and combined with data from trial planting of Xanthoceras sorbifolia.

[0027] Compared with the prior art, the present invention has the following advantages and technical effects:

[0028] In this embodiment, a regional planning method suitable for Xanthoceras sorbifolia planting is provided. First, a variety of influencing factors on Xanthoceras sorbifolia planting are obtained, and the various influencing factors include: climate, soil, topography, and land use type; based on the various influencing factors, zoning factors and zoning indicators for Xanthoceras sorbifolia planting are determined; based on the zoning factors and zoning indicators, a zoning factor grid data set is formulated; then, based on the zoning factor grid data set, refined climate zoning data of Xanthoceras sorbifolia is obtained through an agricultural climate zoning method; finally, the refined climate zoning data is processed to obtain a refined Xanthoceras sorbifolia planting area planning map.

[0029] The present invention comprehensively considers various factors affecting the planting and growth of Xanthoceras sorbifolia, such as meteorological factors, topographic factors, and land use type factors, to improve the accuracy of Xanthoceras sorbifolia planting area planning. At the same time, combined with the principle of adapting measures to local conditions, the appropriate planting zoning of Xanthoceras sorbifolia is studied to provide scientific reference for decision-making by the government and relevant departments. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] The drawings constituting a part of the present application are used to provide a further understanding of the present application. The illustrative embodiments and descriptions of the present application are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0031] Figure 1 This is a flow chart of a regional planning method suitable for Xanthoceras sorbifolia planting according to an embodiment of the present invention. DETAILED DESCRIPTION

[0032] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0033] It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and that, although a logical order is shown in the flowcharts, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0034] Embodiment 1

[0035] This embodiment provides a regional planning method suitable for Xanthoceras sorbifolia planting, including:

[0036] Obtaining multiple influencing factors of Xanthoceras sorbifolia planting, wherein the multiple influencing factors include: climate, soil, topography, and land use type;

[0037] Based on the multiple influencing factors, determine the zoning factors and zoning indicators for Xanthoceras sorbifolia planting;

[0038] Based on the zoning factors and zoning indicators, a zoning factor grid data set is developed;

[0039] Based on the zoning factor grid data set, the refined climate zoning data of Xanthoceras sorbifolia is obtained through the agricultural climate zoning method;

[0040] The refined climate zoning data is processed to obtain a refined Xanthoceras sorbifolia planting area planning map.

[0041] This embodiment uses GIS overlay analysis to determine the weight of each influencing factor, including climate, soil, topography, and land use type, and finally conducts suitability zoning for Xanthoceras sorbifolia planting. Specifically, the following steps are included:

[0042] S1. Determine zoning factors and zoning indicators.

[0043] Meteorological data, basic geographic information data and Xanthoceras sorbifolia planting suitability indicators were collected and sorted out to preliminarily determine the zoning factors and indicators. By analyzing the climatic conditions for the basic growth and development of Xanthoceras sorbifolia and the climatic factors affecting yield and quality, as well as other auxiliary factors such as topography (slope and slope aspect) and land use type that affect Xanthoceras sorbifolia planting, the zoning factors involved in agricultural climate zoning and the Xanthoceras sorbifolia zoning indicators under a certain guarantee rate were determined.

[0044] S2. Create a zoning factor grid data set.

[0045] According to the zoning indicators, relevant light, temperature, water and meteorological elements, agricultural data, basic geographic information data and remote sensing data were collected to calculate the zoning factors with physiological significance for Xanthoceras sorbifolia and collect other auxiliary data. Interpolation methods such as the inverse distance weighted method (IDW) in geographic information software were used to interpolate or calculate the spatial grid values ​​of the elements and establish a zoning factor grid data set with equal longitude and latitude projection. Figure 1 As shown, a basic geographic information data set is established through basic geographic information data and remote sensing data, and a relationship model between climate elements and geographic information is established through meteorological elements and basic geographic information data sets. The climate elements are further spatially estimated through the relationship model, and finally an agricultural climate zoning database is established through the estimated results, basic geographic information data sets, and Xanthoceras sorbifolia planting suitability indicators.

[0046] S3. Select agroclimatic zoning method.

[0047] According to the characteristics of zoning objects, zoning factors and zoning indicators, the zoning method was selected from expert scoring method, weight method, fuzzy comprehensive evaluation method, cluster analysis method and decision tree method to obtain the refined climate zoning data of Xanthoceras sorbifolia.

[0048] S4. Produce refined zoning products.

[0049] According to the zoning indicators, the refined climate zoning data were classified and normalized, and the agricultural climate zoning method was used to produce a refined Xanthoceras sorbifolia planting area planning map dataset with equal longitude and latitude projection, and the map was made.

[0050] S5. Inspection of regional planning maps.

[0051] Through expert consultation, field visits and other methods, the regional planning map is tested in combination with trial planting test data to ensure that the regional planning map passes the inspection.

[0052] In this embodiment, the zoning indicators of Xanthoceras sorbifolia are first determined, and weights are assigned, and each zoning indicator is reclassified, and graded according to the degree of influence on the suitability of Xanthoceras sorbifolia planting, such as suitable, sub-suitable, unsuitable and other standards. Secondly, the raster data of each evaluation element after grading is read, multiplied by the weight of each element, added and calculated to generate the evaluation raster data. Next, the soil element is taken as a restrictive factor, and an "XOR" operation is performed with the evaluation raster data according to the soil suitability of the cultivated variety to obtain the suitability distribution data of Xanthoceras sorbifolia. Finally, the color scheme is adjusted according to the established suitability standard, and the suitability distribution data of Xanthoceras sorbifolia is output as a thematic map.

[0053] This embodiment comprehensively considers various factors that affect the planting and growth of Xanthoceras sorbifolia, such as meteorological factors, terrain factors, and land use type factors, to improve the regional planning accuracy of Xanthoceras sorbifolia planting.

[0054] Embodiment 2

[0055] This embodiment takes Baoding City, Hebei Province as an example, and adopts the technical solution of Embodiment 1 to first start the construction of 6-8 Xanthoceras sorbifolia planting demonstration sites in Tang County, Mancheng, Xushui and other places, and strives to build Baoding City into a national rural revitalization demonstration zone for high-quality development of woody oilseed industry. Based on the characteristics and ideas of "not competing with grain for land", it is planned to use the climatic conditions that are the main factors affecting the growth and development of Xanthoceras sorbifolia as indicators to analyze the climate suitability zoning of Xanthoceras sorbifolia in Baoding City, aiming to provide a reference for the planning and layout of the Xanthoceras sorbifolia tree planting base and large-scale planting.

[0056] The above are only preferred specific implementations of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed in the present application should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A regional planning method suitable for Xanthoceras sorbifolia planting, characterized in that: The following steps are involved: Obtaining multiple influencing factors of Xanthoceras sorbifolia planting, wherein the multiple influencing factors include: climate, soil, topography, and land use type; Based on the multiple influencing factors, determine the zoning factors and zoning indicators for Xanthoceras sorbifolia planting; Based on the zoning factors and zoning indicators, a zoning factor grid data set is developed; Based on the zoning factor grid data set, the refined climate zoning data of Xanthoceras sorbifolia is obtained through the agricultural climate zoning method; The refined climate zoning data is processed to obtain a refined Xanthoceras sorbifolia planting area planning map.

2. The regional planning method suitable for Xanthoceras sorbifolia planting according to claim 1, characterized in that: The process of developing a zoning factor grid dataset includes: Based on the zoning factors and zoning indicators, the inverse distance weighted method in the geographic information software is used to interpolate or extrapolate the spatial grid point values ​​of the elements, and a zoning factor grid point data set with equal longitude and latitude projection is established.

3. The regional planning method suitable for Xanthoceras sorbifolia planting according to claim 2, characterized in that: The process of interpolating or calculating the spatial grid value of the element using the inverse distance weighted method in geographic information software includes: Based on the climate and the terrain, a relationship model between climate elements and geographic information is established, and spatial estimation of climate elements is performed through the relationship model.

4. The regional planning method suitable for Xanthoceras sorbifolia planting according to claim 1, characterized in that: The process of obtaining the refined climate zoning data of Xanthoceras sorbifolia includes: Based on the zoning factor grid data set, the zoning method was selected through expert scoring method, weight method, fuzzy comprehensive evaluation method, cluster analysis method and decision tree method to obtain the refined climate zoning data of Xanthoceras sorbifolia.

5. The regional planning method suitable for Xanthoceras sorbifolia planting according to claim 4, characterized in that: The process of the zoning method includes: Assign weights to the zoning indicators respectively, reclassify the zoning indicators, and grade them according to the degree of their influence on the suitability of Xanthoceras sorbifolia planting; Reading the grid data of each evaluation factor after grading, multiplying the grid data by the weight of each evaluation factor to generate evaluation grid data; Taking soil elements as limiting factors, an "XOR" operation was performed on the soil suitability of cultivated varieties and the evaluation raster data, and GIS overlay analysis was used to obtain the suitability distribution data of Xanthoceras sorbifolia.

6. The regional planning method suitable for Xanthoceras sorbifolia planting according to claim 5, characterized in that: The degree of suitability includes: suitable, sub-suitable, and unsuitable.

7. The regional planning method suitable for Xanthoceras sorbifolia planting according to claim 1, characterized in that: The process of obtaining a refined Xanthoceras sorbifolia planting area planning map includes: Based on the zoning indicators, the refined climate zoning data are classified and normalized, and the agricultural climate zoning method is used to produce a refined Xanthoceras sorbifolia planting area planning map data set with equal longitude and latitude projection, so as to obtain a refined Xanthoceras sorbifolia planting area planning map.

8. The regional planning method suitable for Xanthoceras sorbifolia planting according to claim 1, characterized in that: It also includes the inspection process of the Xanthoceras sorbifolia planting area planning map: The regional planning map was tested through expert consultation, field investigation and combined with data from trial planting of Xanthoceras sorbifolia.

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