Land utilization condition and ecological quality collaborative analysis method

Abstract

The invention provides a collaborative analysis method for land utilization conditions and ecological quality, and relates to the technical field of land resource management and ecological environment protection. Comprising a multi-dimensional data acquisition module, an Internet of Things sensor module, a qualitative analysis module, a quantitative analysis module, a GIS spatial analysis module, an obstacle degree model module, a collaborative analysis module, a standardized processing module and a coupling degree module. The collaborative analysis method for the land utilization condition and the ecological quality specifically comprises the following steps: S1, data acquisition and preprocessing: acquiring multi-source data including air data, soil data and temperature data, arranging sensors through the Internet of Things technology to collect real-time data, improving the timeliness of ecological quality assessment, and obtaining a data acquisition result; and S2, land utilization condition analysis: analyzing and summarizing land utilization condition characteristics and ecological environment quality change rules through a qualitative analysis module, discussing an interaction relationship between the land utilization condition characteristics and the ecological environment quality change rules, and calculating an evaluation index weight value by using a variable coefficient method.

Description

Technical Field

[0001] The present invention relates to the technical field of land resource management and ecological environment protection, and in particular to a collaborative analysis method of land use status and ecological quality. Background Art

[0002] With the acceleration of urbanization and the continuous expansion of human activities, land use has undergone tremendous changes, which has had a profound impact on ecological quality. Traditional land use analysis and ecological quality assessment are often conducted independently, lacking effective collaborative analysis methods, making it difficult to fully and accurately reflect the relationship between land use and ecological quality.

[0003] The coordinated analysis of land use and ecological quality plays an important role in sustainable development and ecological protection, but there are still some shortcomings. First, existing methods often focus on a single land use type or ecological indicator, lacking comprehensive consideration of multiple factors. This leads to the possibility of ignoring the mutual influence between different land use patterns and the potential impact of these changes on ecological quality during the analysis process. Second, most existing analysis models are based on static data and lack the ability of dynamic monitoring and real-time analysis.

[0004] Therefore, the present invention proposes a collaborative analysis method of land use status and ecological quality. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings of the prior art and to propose a collaborative analysis method for land use status and ecological quality.

[0006] In order to achieve the above-mentioned purpose, the present invention adopts the following technical scheme: a collaborative analysis method of land use status and ecological quality, including a multidimensional data acquisition module, an Internet of Things sensor module, a qualitative analysis module, a quantitative analysis module, a GIS spatial analysis module, an obstacle model module, a collaborative analysis module, a standardized processing module and a coupling degree module; The collaborative analysis method of land use status and ecological quality specifically includes the following steps: S1. Data collection and preprocessing: Collect multi-source data including air data, soil data, and temperature data, and deploy sensors through the Internet of Things technology to collect real-time data to improve the timeliness of vocal cord quality assessment.

[0007] S2. Analysis of land use status: The qualitative analysis module is used to analyze and summarize the characteristics of land use status and the law of change of ecological environment quality, and the interaction between the two is discussed. The coefficient of variation method is used to calculate the weight value of the evaluation index, and the natural breakpoint method in the GIS software is used to classify and display various indicators such as the spatial distribution of various types of land, per capita land use, land economic benefits, spatial distribution of ecological land, and environmental pollution. S3. Ecological quality assessment: Use ecological monitoring data and ecological models to assess the ecological quality of different regions, including vegetation coverage, biodiversity index, soil quality index, etc., establish an ecological quality evaluation index system, comprehensively consider multiple ecological factors, and conduct quantitative evaluation of ecological quality; S4. Construction of collaborative analysis model: Use correlation analysis method to analyze the correlation between land use status indicators (such as land use degree index) and ecological quality indicators (such as comprehensive ecological quality index), establish a regression analysis model, take land use status indicators as independent variables and ecological quality indicators as dependent variables, and determine the impact degree and mechanism of land use status on ecological quality; S5. Result visualization: Visualize the collaborative analysis results, produce land use status and ecological quality distribution maps, correlation charts, etc., to intuitively reflect the relationship between the two. Use geographic information system software to visualize the analysis results of land use status and ecological quality, and produce land use status and ecological quality distribution maps, correlation charts, etc.; S6. Decision support: Provide decision-making support for land resource management and ecological environment protection, and propose reasonable land use planning and ecological protection measures. Based on the results of collaborative analysis, provide decision-making support for land resource management and ecological environment protection, and propose reasonable land use planning and ecological protection measures, such as optimizing land use structure, strengthening ecological protection and restoration, etc.

[0008] As a preferred implementation, data collection and preprocessing, the data collection and preprocessing process includes a multi-dimensional data collection module for collecting multi-source data and an Internet of Things sensor module for arranging sensors to collect real-time data.

[0009] The beneficial effects of adopting the above further scheme are: collecting multi-source data through the multi-dimensional data acquisition module, including remote sensing images, geographic information system data, land use survey data, ecological monitoring data, etc., and pre-processing the data through the Internet of Things sensor, including image correction, data format conversion, coordinate unification, etc., to ensure the accuracy and consistency of the data.

[0010] As a preferred implementation, the multi-dimensional data acquisition module includes an air quality sensor unit, a soil moisture sensor unit, and a temperature sensor unit.

[0011] The beneficial effects of adopting the above further scheme are: the air quality sensor unit can detect gases such as CO, NH3, CH4, the soil moisture sensor uses the capacitance principle to measure soil moisture, and the temperature sensor unit can measure temperature, humidity and air pressure at the same time, ensuring the accuracy of data through multiple data collection methods.

[0012] As a preferred implementation, the land use status analysis process includes a qualitative analysis module for analyzing and summarizing the characteristics of land use status and the law of changes in ecological environment quality, a quantitative analysis module for calculating the weight values ​​of evaluation indicators, and a GIS spatial analysis module for classifying and displaying various indicator data such as spatial distribution of various types of land, per capita land use, land economic benefits, spatial distribution of ecological land, and environmental pollution. The beneficial effects of adopting the above further scheme are: through the qualitative analysis module, the characteristics of land use status and the law of changes in ecological environment quality are analyzed and summarized, and the interaction between the two is discussed, and the coefficient of variation method is used to calculate the weight value of the evaluation index, and the natural breakpoint method in the GIS software is used to classify and display various indicators such as the spatial distribution of various types of land, per capita land use, land economic benefits, spatial distribution of ecological land, and environmental pollution.

[0013] As a preferred implementation, the ecological quality assessment process includes a barrier model module for assessing the ecological quality of different regions.

[0014] The beneficial effect of adopting the above further plan is: on the basis of quantitative evaluation of the comprehensive land use status and ecological environment quality, by introducing three indicators: factor contribution, indicator deviation and barrier degree, and using the barrier degree model, the obstacles to the efficient and intensive use of construction land in various regions are analyzed and diagnosed, and the degree to which these obstacles affect the efficient and intensive use of construction land in various regions is quantitatively calculated.

[0015] As a preferred implementation, the collaborative analysis model construction process includes a collaborative analysis module for analyzing the correlation between land use status indicators and ecological quality indicators.

[0016] The beneficial effects of adopting the above further scheme are: using correlation analysis methods to analyze the correlation between land use status indicators (such as land use degree index) and ecological quality indicators (such as comprehensive ecological quality index) and to establish a regression analysis model, with land use status indicators as independent variables and ecological quality indicators as dependent variables, to determine the degree and mechanism of influence of land use status on ecological quality.

[0017] As a preferred implementation, the result visualization process includes a standardized processing module for visually displaying the collaborative analysis results.

[0018] The beneficial effects of adopting the above further scheme are: visualizing the results of the collaborative analysis, producing land use status and ecological quality distribution maps, correlation charts, etc., to intuitively reflect the relationship between the two, and using geographic information system software to visualize the analysis results of land use status and ecological quality, and producing land use status and ecological quality distribution maps, correlation charts, etc.

[0019] As a preferred implementation, the decision support process includes a coupling degree module for providing decision support for land resource management and ecological environment protection.

[0020] The beneficial effects of adopting the above further plan are: providing decision-making support for land resource management and ecological environment protection, proposing reasonable land use planning and ecological protection measures, and based on the results of collaborative analysis, providing decision-making support for land resource management and ecological environment protection, proposing reasonable land use planning and ecological protection measures, such as optimizing land use structure, strengthening ecological protection and restoration, etc.

[0021] Compared with the prior art, the advantages and positive effects of the present invention are: 1. In the present invention, the collaborative analysis method can comprehensively evaluate the impact of different land use types on ecological quality, provide a scientific basis for the rational allocation of land resources, and effectively identify inefficient areas in land use by establishing a multi-level and multi-dimensional evaluation index system to analyze the specific impact of land use on the ecological environment. Furthermore, this method can simulate different land use scenarios and predict future trends in ecological environment changes, which not only helps decision makers to formulate more scientific land use policies, but also guides the public to pay attention to ecological and environmental issues and enhance their awareness of protection. On this basis, by optimizing the land use structure, it is possible to effectively reduce resource waste, reduce environmental burden, and achieve sustainable development goals.

[0022] 2. In the present invention, another significant advantage of this method is that it can enhance the awareness of ecological protection and promote the recovery and restoration of the ecosystem. In the collaborative analysis process, in addition to paying attention to the economic benefits of land use, it also emphasizes the assessment of ecological quality. By quantifying the changes in the ecological environment, decision makers can clearly understand the impact of different land use methods on the ecosystem, especially the contribution to biodiversity, soil and water conservation, and climate regulation. When the contradiction between land use and ecological quality is clearly revealed, relevant departments can take targeted measures. When the contradiction between land use and ecological quality is clearly revealed, relevant departments can take targeted measures. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1It is a flowchart of the collaborative analysis method of land use status and ecological quality of the present invention; Figure 2 The figure is a flow chart of the collaborative analysis method of land use status and ecological quality of the present invention. DETAILED DESCRIPTION

[0024] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0025] like Figure 1-2 As shown, the present invention provides a technical solution: a collaborative analysis method of land use status and ecological quality, including a multidimensional data acquisition module, an Internet of Things sensor module, a qualitative analysis module, a quantitative analysis module, a GIS spatial analysis module, an obstacle model module, a collaborative analysis module, a standardized processing module and a coupling module; The collaborative analysis method of land use status and ecological quality specifically includes the following steps: S1. Data collection and preprocessing: Collect multi-source data including air data, soil data, and temperature data, and arrange sensors through the Internet of Things technology to collect real-time data to improve the timeliness of vocal cord quality assessment. Collect multi-source data including remote sensing images, geographic information system data, land use survey data, ecological monitoring data, etc., and preprocess the data, including image correction, data format conversion, coordinate unification, etc., to ensure the accuracy and consistency of the data; S2. Analysis of land use status: The qualitative analysis module is used to analyze and summarize the characteristics of land use status and the law of change of ecological environment quality, and the interaction between the two is discussed. The coefficient of variation method is used to calculate the weight value of the evaluation index, and the natural breakpoint method in the GIS software is used to classify and display various indicators such as the spatial distribution of various types of land, per capita land use, land economic benefits, spatial distribution of ecological land, and environmental pollution. S3. Ecological quality assessment: Use ecological monitoring data and ecological models to assess the ecological quality of different regions, including vegetation coverage, biodiversity index, soil quality index, etc., establish an ecological quality evaluation index system, comprehensively consider multiple ecological factors, and conduct quantitative evaluation of ecological quality; S4. Construction of collaborative analysis model: Use correlation analysis method to analyze the correlation between land use status indicators (such as land use degree index) and ecological quality indicators (such as comprehensive ecological quality index), establish a regression analysis model, take land use status indicators as independent variables and ecological quality indicators as dependent variables, and determine the impact degree and mechanism of land use status on ecological quality; S5. Result visualization: Visualize the collaborative analysis results, produce land use status and ecological quality distribution maps, correlation charts, etc., to intuitively reflect the relationship between the two. Use geographic information system software to visualize the analysis results of land use status and ecological quality, and produce land use status and ecological quality distribution maps, correlation charts, etc.; S6. Decision support: Provide decision-making support for land resource management and ecological environment protection, and propose reasonable land use planning and ecological protection measures. Based on the results of collaborative analysis, provide decision-making support for land resource management and ecological environment protection, and propose reasonable land use planning and ecological protection measures, such as optimizing land use structure, strengthening ecological protection and restoration, etc.

[0026] Data collection and preprocessing,The data collection and preprocessing process includes a multi-dimensional data,acquisition module for collecting multi-source data and an Internet of Things sensor,module for arranging sensors to collect real-time data.

[0027] The multi-dimensional data acquisition module includes an air quality sensor unit, a soil moisture sensor unit and a temperature sensor unit.

[0028] In S1, the specific model of the air quality sensor unit is MiCS-5524A, which can detect gases such as CO, NH3, and CH4. It has the advantages of high sensitivity and suitability for a variety of environmental conditions.

[0029] In S1, the specific model of the soil moisture sensor unit is: Capacitive Soil Moisture Sensor, which uses the capacitance principle to measure soil moisture and has the advantages of corrosion resistance, long service life, and not being easily affected by soil salinity.

[0030] In S1, the specific model of the temperature sensor unit is: BME280, which can measure temperature, humidity and air pressure at the same time, has high precision, and is suitable for complex meteorological monitoring.

[0031] In S1, the IoT sensor module uses IoT technology to deploy sensors to collect real-time data (such as air quality, soil moisture, temperature, etc.) to improve the timeliness of ecological quality assessment.

[0032] The land use status analysis process includes a qualitative analysis module that analyzes and summarizes the characteristics of land use and the laws of changes in ecological environment quality, a quantitative analysis module for calculating the weight values ​​of evaluation indicators, and a GIS spatial analysis module for classifying and displaying various indicator data such as the spatial distribution of various types of land, per capita land use, land economic benefits, spatial distribution of ecological land, and environmental pollution. In S2, the qualitative analysis module uses qualitative analysis methods mainly based on relevant data to analyze and summarize the characteristics of land use and the laws of changes in ecological environment quality, and discuss the interaction between the two.

[0033] In S2, quantitative analysis was performed and the coefficient of variation method was used to calculate the weight values ​​of the evaluation indicators. The specific formula is as follows:

[0034] In the formula, is the coefficient of variation of the ith indicator, is the standard deviation of the ith indicator, is the average value of the i-th indicator, is the weight value of the i-th indicator.

[0035] In S2, the GIS spatial analysis module uses the natural breakpoint method in GIS software to classify and display various indicators such as the spatial distribution of various types of land, per capita land use, land economic benefits, spatial distribution of ecological land, and environmental pollution, revealing the spatial distribution patterns of related indicators. At the same time, it visualizes the land use status, the comprehensive level of ecological environment quality, and their interaction, intuitively reflecting the characteristics of land use and ecological environment spatial distribution. The ecological quality assessment process includes a barrier model module for assessing the ecological quality of different regions.

[0036] In S3, the obstacle model module, based on the quantitative evaluation of the comprehensive land use status and ecological environment quality, introduces three indicators: factor contribution, indicator deviation and obstacle degree, and uses the obstacle model to analyze and diagnose the obstacles to the economical and intensive use of construction land in various regions, and quantitatively calculates the degree to which these obstacles affect the economical and intensive use of construction land in various regions. The specific formula is as follows:

[0037] Where: ——factor contribution; ——No. Item Index The weight of each indicator; ——No. Index The weight of each sub-index; ——No. The weight of the item index; ——Indicator deviation, which indicates the difference between the actual value of each indicator and the optimal value; ——No. Standardized scores of indicators; ——No. The obstacle degree of each indicator The collaborative analysis model construction process includes a collaborative analysis module for analyzing the correlation between land use status indicators and ecological quality indicators.

[0038] In S4, the coordination analysis module, the coordination degree is mainly used to reflect the coordinated development level between the two systems of land use status and ecological environment quality. The larger the value, the more the two systems promote each other and develop in a benign manner. The specific formula is as follows:

[0039] Where: D is the coupling coordination degree; T is the comprehensive coordination index between the two systems; α and β are unknown coefficients. Considering that the contribution of land use and ecological environment quality to regional development is the same, α=β=0.5 is taken here. In practical applications, T∈(0,1) is generally used to ensure D∈(0,1).

[0040] The result visualization process includes a standardized processing module for visualizing the collaborative analysis results.

[0041] In S5, the standardization processing module constructs the land use status and ecological environment quality evaluation index system. The ecological environment quality index system has positive and negative indicators, so it is necessary to standardize each indicator. The specific formula is as follows: For positive indicators:

[0042] For negative indicators:

[0043] In the formula, is the original indicator value, is the maximum value of the indicator, is the minimum value of the indicator, Normalized value for the indicator.

[0044] The decision support process includes a coupling degree module for providing decision support for land resource management and ecological environmental protection.

[0045] In S6, the interaction between land use and ecological environment quality was calculated through the coupling and coordination models. The specific formula is as follows:

[0046] Where: and It represents the comprehensive development level of the two subsystems of land use status and ecological environment quality. The closer C is to 1, the stronger the interaction between the systems, and vice versa.

[0047] The above description is only a preferred embodiment of the present invention and does not limit the present invention in other forms. Any technician familiar with the profession may use the technical content disclosed above to change or modify it into an equivalent embodiment with equivalent changes and apply it to other fields. However, any simple modification, equivalent change and modification made to the above embodiment based on the technical essence of the present invention without departing from the content of the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. A collaborative analysis method of land use status and ecological quality, characterized in that: It includes multi-dimensional data acquisition module, Internet of Things sensor module, qualitative analysis module, quantitative analysis module, GIS spatial analysis module, obstacle model module, collaborative analysis module, standardized processing module and coupling module; The collaborative analysis method of land use status and ecological quality specifically includes the following steps: S1. Data collection and preprocessing: Collect multi-source data including air data, soil data, and temperature data, and deploy sensors through the Internet of Things technology to collect real-time data to improve the timeliness of vocal cord quality assessment; S2. Analysis of land use status: The qualitative analysis module is used to analyze and summarize the characteristics of land use status and the law of change of ecological environment quality, and the interaction between the two is discussed. The coefficient of variation method is used to calculate the weight value of the evaluation index, and the natural breakpoint method in the GIS software is used to classify and display various indicators such as the spatial distribution of various types of land, per capita land use, land economic benefits, spatial distribution of ecological land, and environmental pollution. S3. Ecological quality assessment: Use ecological monitoring data and ecological models to assess the ecological quality of different regions, including vegetation coverage, biodiversity index, soil quality index, etc., establish an ecological quality evaluation index system, comprehensively consider multiple ecological factors, and conduct quantitative evaluation of ecological quality; S4. Construction of collaborative analysis model: Adopt correlation analysis method to analyze the correlation between land use status indicators and ecological quality indicators, establish regression analysis model, take land use status indicators as independent variables and ecological quality indicators as dependent variables, and determine the influence degree and mechanism of land use status on ecological quality; S5. Result visualization: Visualize the collaborative analysis results, produce land use status and ecological quality distribution maps, correlation charts, etc., to intuitively reflect the relationship between the two. Use geographic information system software to visualize the analysis results of land use status and ecological quality, and produce land use status and ecological quality distribution maps, correlation charts, etc.; S6. Decision support: Provide decision-making support for land resource management and ecological environment protection, and propose reasonable land use planning and ecological protection measures. Based on the results of collaborative analysis, provide decision-making support for land resource management and ecological environment protection, and propose reasonable land use planning and ecological protection measures, such as optimizing land use structure, strengthening ecological protection and restoration, etc.

2. The collaborative analysis method of land use status and ecological quality according to claim 1, characterized in that: Data collection and preprocessing,The data collection and preprocessing process includes a multi-dimensional data,acquisition module for collecting multi-source data and an Internet of Things sensor,module for arranging sensors to collect real-time data.

3. The collaborative analysis method of land use status and ecological quality according to claim 2 is characterized by: The multi-dimensional data acquisition module includes an air quality sensor unit, a soil moisture sensor unit and a temperature sensor unit.

4. The collaborative analysis method of land use status and ecological quality according to claim 1, characterized in that: The land use status analysis process includes a qualitative analysis module that analyzes and summarizes the characteristics of land use and the laws of changes in ecological environment quality, a quantitative analysis module used to calculate the weights of evaluation indicators, and a GIS spatial analysis module that classifies and displays various indicator data such as the spatial distribution of various types of land, per capita land use, land economic benefits, spatial distribution of ecological land, and environmental pollution conditions.

5. The collaborative analysis method of land use status and ecological quality according to claim 1 is characterized by: The ecological quality assessment process includes a barrier model module for assessing the ecological quality of different regions.

6. The collaborative analysis method of land use status and ecological quality according to claim 1, characterized in that: The collaborative analysis model construction process includes a collaborative analysis module for analyzing the correlation between land use status indicators and ecological quality indicators.

7. The collaborative analysis method of land use status and ecological quality according to claim 1 is characterized by: The result visualization process includes a standardized processing module for visualizing the collaborative analysis results.

8. The collaborative analysis method of land use status and ecological quality according to claim 1 is characterized by: The decision support process includes a coupling degree module for providing decision support for land resource management and ecological environmental protection.

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