CN116090707A - Ecological problem identification system based on space ecological restoration data - Google Patents
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- OAICVXFJPJFONN-UHFFFAOYSA-N Phosphorus Chemical compound [P] OAICVXFJPJFONN-UHFFFAOYSA-N 0.000 description 4
- 229910052698 phosphorus Inorganic materials 0.000 description 4
- 239000011574 phosphorus Substances 0.000 description 4
- ZLMJMSJWJFRBEC-UHFFFAOYSA-N Potassium Chemical compound [K] ZLMJMSJWJFRBEC-UHFFFAOYSA-N 0.000 description 3
- 230000009471 action Effects 0.000 description 3
- 235000015097 nutrients Nutrition 0.000 description 3
- 239000011591 potassium Substances 0.000 description 3
- 229910052700 potassium Inorganic materials 0.000 description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 3
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Abstract
The invention discloses an ecological problem identification system based on space ecological restoration data, which comprises a data acquisition module, a data analysis module, a self-defining module, an input module, a storage module and an output module, wherein the data acquisition module is used for acquiring ecological data of various types and various time periods so as to analyze the ecological data, the data analysis module can analyze the change of the ecological data to determine the change result of the ecological data, the self-defining module is used for inputting the change threshold value of the ecological data, the storage module is used for storing information of the ecological data and solutions of various ecological problems, and the output module is used for outputting the ecological data and the solutions of the ecological problems. The invention can identify the local ecological problem in multiple directions during implementation, and can be realized automatically by the system in the identification process, thereby avoiding the problems possibly caused by using a manual method in the traditional method.
Description
Technical Field
The invention belongs to the technical field of ecological problem identification systems, and particularly relates to an ecological problem identification system based on space ecological restoration data.
Background
Different areas have different ecological characteristics, in the prior art, ecological problem identification is carried out aiming at the areas, most of workers visit on site to collect data, and then the local ecological problems are summarized according to the collected information, so that a conclusion is obtained, and the method can meet the research requirements to a certain extent, but has larger deviation.
Disclosure of Invention
Therefore, the invention provides an ecological problem identification system based on space ecological restoration data, which effectively solves the problems in the background technology.
In order to achieve the above purpose, the present invention provides the following technical solutions: the utility model provides an ecological problem identification system based on space ecological restoration data, includes data acquisition module, data analysis module, custom module, input module, storage module and output module, data acquisition module is used for acquireing the ecological data of each type and each time quantum to be convenient for carry out analysis to ecological data, data analysis module can carry out analysis to the change of ecological data to confirm the change result of each ecological data, custom module is used for the threshold value of each ecological data change, storage module is used for storing the information of ecological data and the solution of each ecological problem, output module is used for exporting the solution of ecological data and ecological problem.
Preferably, the space ecology type is a ecology system service function, and the data acquisition module is an information acquisition unit which can be connected with the internet to acquire information.
Preferably, the data analysis module is internally preset with the following formula,
in the above, F Total (S) To evaluate the total service value of the current year ecosystem for the evaluation area, F i Total Total value of service value of ith ecosystem, F IJ A value equivalent factor per unit area serving the jth ecosystem, the ith ecosystem, A i For the area of the j-th ecosystem, A Total (S) In order to evaluate the total territory area of the area, m is the total quantity of the service types of the ecosystem, n is the total quantity of the service types of the ecosystem, and D is the service value quantity of the ecosystem of 1 standard equivalent factor of the evaluation area in the current year.
Preferably, the space ecology type is cultivated land area and shape, the data acquisition module is an information acquisition unit and an image acquisition unit, the information acquisition unit is used for being connected with the Internet to acquire corresponding information, and the image acquisition unit is used for acquiring information of cultivated land shape in a target area.
Preferably, the data analysis module is pre-configured with the following formula,
in the above, CLP is the area of average cultivated land in the evaluation area, A CL For the total cultivated land area of the area, n c Population count for the region; CA is plaque type area, a j Representing the area of the jth patch in the same landscape type; PLAND is the percent plaque area, a ij Representing the area of the jth patch in the ith landscape type, wherein A is the total area of a certain landscape in the area; LPI is the maximum plaque index, a max Refers to the area of the largest plaque in the landscape or a certain plaque type; MPS is plaque evaluation size, n represents the number of plaques in the same landscape type; NP is the number of plaques; PD is plaque density; ED is edge density, p ij The perimeter of the ith landscape patch and the adjacent jth landscape patch is given, and m is the landscape quantity of the area; TE is the total length of the edge; AI is an aggregation index, the smaller the value, the more discrete the landscape, g ij Max→g for the number of similar contiguous patches of the corresponding landscape type ij The maximum possible value of the similar adjacent patch number of the corresponding landscape type is taken; AWMSI is an area weighted average shape factor.
The invention has the following advantages:
the invention can identify the local ecological problem in multiple directions during implementation, and can be realized automatically by the system in the identification process, thereby avoiding the problems possibly caused by using a manual method in the traditional method. .
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
fig. 1 is a schematic diagram of a module structure of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all embodiments of the invention; all other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
The invention discloses an ecological problem identification system based on space ecological restoration data, which comprises a data acquisition module, a data analysis module, a self-defining module, an input module, a storage module and an output module, wherein the data acquisition module is used for acquiring ecological data of various types and various time periods so as to analyze the ecological data conveniently, the data analysis module can analyze the change of the ecological data to determine the change result of the ecological data, the self-defining module is used for inputting the change threshold value of the ecological data, the storage module is used for storing information of the ecological data and solutions of various ecological problems, and the output module is used for outputting the ecological data and the solutions of the ecological problems.
The space ecology type is a ecology system service function, and the data acquisition module is an information grabbing unit which can be connected with the Internet to acquire information.
The data analysis module is preset with the following formula,
in the above, F Total (S) To evaluate the total service value of the current year ecosystem for the evaluation area, F i Total Total value of service value of ith ecosystem, F IJ A value equivalent factor per unit area serving the jth ecosystem, the ith ecosystem, A i For the area of the j-th ecosystem, A Total (S) In order to evaluate the total territory area of the area, m is the total quantity of the service types of the ecosystem, n is the total quantity of the service types of the ecosystem, and D is the service value quantity of the ecosystem of 1 standard equivalent factor of the evaluation area in the current year.
Taking the three markets as an example, the following statistics were performed:
the table above is the total ecological service value of the ecosystem of the third-party market at different times based on ecological service equivalent.
The table above is the classification of the richness and the area statistics of the ecological service of the soil ecosystem of the third city.
The space ecology type is cultivated land area and shape, the data acquisition module is an information acquisition unit and an image acquisition unit, the information acquisition unit is used for being connected with the Internet to acquire corresponding information, and the image acquisition unit is used for acquiring information of cultivated land shape in a target area.
The data analysis module is preset with the following formula,
in the above, CLP is the area of average cultivated land in the evaluation area, A CL For the total cultivated land area of the area, n c Population count for the region; CA is plaque type area, a j Representing the area of the jth patch in the same landscape type; PLAND is the percent plaque area, a ij Representing the area of the jth patch in the ith landscape type, wherein A is the total area of a certain landscape in the area; LPI is the maximum plaque index, a max Refers to the area of the largest plaque in the landscape or a certain plaque type; MPS is plaque evaluation size, n represents the number of plaques in the same landscape type; NP is the number of plaques; PD is plaque density; ED is edge density, p ij The perimeter of the ith landscape patch and the adjacent jth landscape patch is given, and m is the landscape quantity of the area; TE is the total length of the edge; AI is an aggregation index, the smaller the value, the more discrete the landscape, g ij Max→g for the number of similar contiguous patches of the corresponding landscape type ij The maximum possible value of the similar adjacent patch number of the corresponding landscape type is taken; AWMSI is an area weighted average shape factor.
In 2020, three cities have agricultural lands 165296.46 hectares, but the cultivated lands only have 16133.73 hectares, account for 9.76% of the total agricultural land area, 8.39% of the total national area of the whole city, and the average cultivated land area is only 240 square meters, which accounts for 26.61% of the average domestic cultivated land area (910 square meters) of the same year.
Comparing and analyzing the change data of the farmland in 2010-2020, and displaying the result: in 2009-2019, the whole cultivated land area in the whole market shows a trend of reduction, but the reduction is not large, and the annual average growth rate is-0.21%. The water irrigated land area is reduced from 5.43 hectares in 2009 to 2.16 hectares in 2019 at a rate of-8.81% by adjusting the water field area and the water irrigated land area to a speed of 0.34% in year. The area of the dry land fluctuates for 10 years, but the overall situation of small increase is shown, and the annual average increase rate is 0.06%.
The table above shows how the landscape pattern of the cultivated land changes in the three-city in the last 10 years.
The comparative analysis of the evaluation results of the other areas such as the three-city farmland in 2015-2018 shows that: by the end of 2018, the area of investigation and assessment of the quality of the three-city cultivated land and the like is 23235.995 hectares, and the three-city cultivated land comprises cultivated lands of 4 and 13 and cultivated lands of 10 grades according to the rules of agricultural land quality classification and the like (GB/T28407-2018). By adopting an area weighting method, the average quality of the three-city cultivated soil is calculated to be 7.33 and the like, the cultivated soil quality grade is generally low, and the quality is poor. Only 1238.49 hectares (1-4 etc.) are available in the whole city, most of the cultivated lands are concentrated on three levels of 5 etc., 6 etc. and 12 etc. with areas of 7264.04, 3841.76 and 4608.32 hectares respectively. Meanwhile, the total area of the cultivated lands (11-15, etc.) with relatively poor quality is 4,617.48 hectares, and the proportion is approximately 20%. The area of low yield in the whole city is overlarge, the area of high yield field is insufficient, and the integral quality of the cultivated land in the city is not high.
According to the national second soil census nutrient grading standard, the three-city soil presents the characteristic of high phosphorus and potassium deficiency, the average effective phosphorus content of the soil in 2019 is 97.99 mg/kg, which is far higher than the critical value of the first-level standard, the quick-acting potassium content is lower, only 4.7 mg/kg, the soil belongs to the sixth-level, and the organic matter content (15.62 g/kg) also belongs to the medium lower level. Compared with 2013, the method has the advantages that the effective phosphorus content of the soil is improved, the soil per kilogram is increased by 58.86 mg, the organic matter content of the soil per kilogram is reduced by 4.13 mg, and the quick-acting potassium content per kilogram is reduced by 1.11 mg, so that the conditions of a certain degree of nutrient imbalance, unreasonable nitrogen, phosphorus and potassium nutrient proportion of the soil, weak acid of the soil, reduced comprehensive production capacity of the soil and the like exist in all-market cultivated lands, negative influences are formed on crop growth, and certain threat is presented to grain safety.
The above table shows the quality of the three-city cultivation in 2015-2019.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (5)
1. An ecological problem identification system based on space ecological restoration data is characterized in that: the ecological management system comprises a data acquisition module, a data analysis module, a self-defining module, an input module, a storage module and an output module, wherein the data acquisition module is used for acquiring ecological data of various types and various time periods so as to analyze the ecological data, the data analysis module can analyze the change of the ecological data to determine the change result of the ecological data, the self-defining module is used for inputting the change threshold value of the ecological data, the storage module is used for storing the information of the ecological data and the solutions of various ecological problems, and the output module is used for outputting the ecological data and the solutions of the ecological problems.
2. An ecological problem identification system based on spatial ecological restoration data as set forth in claim 1, wherein: the space ecology type is a ecology system service function, and the data acquisition module is an information grabbing unit which can be connected with the Internet to acquire information.
3. An ecological problem identification system based on spatial ecological restoration data as set forth in claim 2, wherein: the data analysis module is preset with the following formula,
4. An ecological problem identification system based on spatial ecological restoration data as set forth in claim 1, wherein: the space ecology type is cultivated land area and shape, the data acquisition module is an information acquisition unit and an image acquisition unit, the information acquisition unit is used for being connected with the Internet to acquire corresponding information, and the image acquisition unit is used for acquiring information of cultivated land shape in a target area.
5. The ecological problem identification system based on spatial ecological restoration data as set forth in claim 4, wherein: the data analysis module is preset with the following formula,
in the above, CLP is the area of average cultivated land in the evaluation area, A CL For the total cultivated land area of the area, n c Population count for the region; CA is plaque type area, a j Representing the area of the jth patch in the same landscape type; PLAND is the percent plaque area, a ij Representing the area of the jth patch in the ith landscape type, wherein A is the total area of a certain landscape in the area; LPI is the maximum plaque index, a max Refers to the area of the largest plaque in the landscape or a certain plaque type; MPS is plaque evaluation size, n represents the number of plaques in the same landscape type; NP is the number of plaques; PD is plaque density; ED is edge density, p ij The perimeter of the ith landscape patch and the adjacent jth landscape patch is given, and m is the landscape quantity of the area; TE is the total length of the edge; AI is an aggregation index, the smaller the value, the more discrete the landscape, g ij Max→g for the number of similar contiguous patches of the corresponding landscape type ij The maximum possible value of the similar adjacent patch number of the corresponding landscape type is taken; AWMSI is an area weighted average shape factor.
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113361774A (en) * | 2021-06-07 | 2021-09-07 | 四川农业大学 | Ecological space intensive utilization optimization method and system |
| CN114565223A (en) * | 2022-01-25 | 2022-05-31 | 生态环境部南京环境科学研究所 | Method for evaluating implementation effect of regional ecological protection restoration project |
| CN114742464A (en) * | 2022-05-10 | 2022-07-12 | 中国科学院西北生态环境资源研究院 | Method for constructing alpine grassland ecological system health assessment and early warning platform |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113361774A (en) * | 2021-06-07 | 2021-09-07 | 四川农业大学 | Ecological space intensive utilization optimization method and system |
| CN114565223A (en) * | 2022-01-25 | 2022-05-31 | 生态环境部南京环境科学研究所 | Method for evaluating implementation effect of regional ecological protection restoration project |
| CN114742464A (en) * | 2022-05-10 | 2022-07-12 | 中国科学院西北生态环境资源研究院 | Method for constructing alpine grassland ecological system health assessment and early warning platform |
Non-Patent Citations (6)
| Title |
|---|
| 张祺;张娇凤;王文渊;宋向群;郭子坚;: "基于系统仿真的港口生态承载力动态评价模型", 大连海事大学学报, no. 01 * |
| 徐君;李贵芳;王育红;: "生态脆弱性国内外研究综述与展望", 华东经济管理, no. 04 * |
| 徐子蒙;李广泳;周旭;程滔;姜广辉;白驹;: "基于地理国情普查成果的生态系统服务价值核算方法", 测绘学报, no. 10 * |
| 潘丽丽;吴楠;: "安徽省生态保护红线的生态系统服务价值评估", 安徽农业科学, no. 12, pages 1 * |
| 程滔;: "一种全国陆地生态系统服务价值的大数据计算与分析方法", 测绘通报, no. 08 * |
| 赵峰;鞠洪波;黄建文;: "西昌地区实施退耕还林工程后的景观格局变化", 林业科学, no. 1 * |
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