Ecological protection red line man-made activity disturbance assessment method and system

Abstract

The invention relates to the technical field of ecological assessment, in particular to an ecological protection red line man-made activity disturbance assessment method and system, and the method comprises the following steps: 1, determining an assessment region: determining the assessment region of ecological protection red line man-made activity disturbance based on remote sensing and Internet of Things technologies; step 2, evaluation index system construction: based on the Internet of Things technology, aiming at evaluation objects and key contents in an ecological protection red line, comprehensively considering ecological system types, structures, functions, components and ecological condition change conditions in the ecological protection red line of an evaluation area to construct an evaluation index system; the evaluation index system is constructed to obtain the evaluation data of the evaluation area, the artificial activity disturbance of the ecological protection red line is evaluated, analyzed and predicted, the quantity and intensity change conditions of the human activities in the ecological protection red line are comprehensively reflected, the evaluation system is accurate, reliable, available, stable and explainable, and the evaluation efficiency is improved. And data support is provided for evaluating regional ecological protection.

Description

Technical Field

[0001] The present invention relates to the technical field of ecological assessment, and in particular to a method and system for assessing disturbance caused by human activities on an ecological protection red line. Background Art

[0002] The essence of the ecological protection red line is the bottom line of ecological environmental security. The purpose is to establish the most stringent ecological protection system and put forward higher regulatory requirements for ecological function protection, environmental quality safety and natural resource utilization, so as to promote the balance between population, resources and environment, and the unity of economic, social and ecological benefits. The ecological protection red line has the characteristics of system integrity, mandatory constraints, synergy, dynamic balance and operational accessibility. Specifically, the ecological protection red line can be divided into the ecological function protection baseline, the environmental quality safety bottom line and the upper limit of natural resource utilization.

[0003] At present, ecological protection areas are disturbed by human activities. Data acquisition in large areas of ecological protection areas is incomplete and difficult. There is a lack of accurate and comprehensive assessment of human activity disturbance in ecological protection areas, which leads to serious degradation of the ecosystem in ecological protection areas. In order to solve the above-mentioned problems, the present invention proposes a method and system for assessing human activity disturbance in ecological protection red lines. Summary of the invention

[0004] In view of the problems in the prior art, the present invention provides a method and system for evaluating disturbance caused by human activities on the ecological protection red line.

[0005] The technical solution adopted by the present invention to solve the technical problem is: a method for evaluating the disturbance of human activities on the ecological protection red line, the evaluation method comprising the following steps: Step 1: Determine the assessment area: Based on remote sensing and Internet of Things technology, determine the assessment area of ​​human activity disturbance on the ecological protection red line; Step 2: Constructing the evaluation index system: Based on the Internet of Things technology, the evaluation index system is constructed for the objects and key contents of the evaluation within the ecological protection red line, taking into account the types, structures, functions and components of the ecosystem within the ecological protection red line of the evaluation area and the changes in the ecological status; Step 3: Acquisition of assessment data: Based on big data technology, remote sensing and Internet of Things technology, historical data and dynamic data of the monitoring and assessment areas are obtained to establish an assessment area database; Step 4: Construct an assessment model: Based on a convolutional neural network, construct an assessment model for the human activity disturbance assessment area of ​​the ecological protection red line; Step 5: Disturbance assessment: Based on the Internet of Things technology, the real-time data of the assessment is processed and fed back to the assessment model to obtain the assessment data of the disturbance caused by human activities on the ecological protection red line of the assessment area; Step 6. Assessment and analysis: Analyze the assessment data of human-induced disturbance of ecological red line in the assessment area, obtain the assessment and analysis report of human-induced disturbance of ecological red line in the assessment area, make the assessment and analysis into charts, establish the assessment log of human-induced disturbance of ecological red line in the assessment area, and form the dynamic tracking of assessment in the assessment area; The evaluation index system includes ecosystem characteristics, ecosystem quality, ecosystem functions, human activity interference and ecological restoration effects; The assessment method uses modern information technology to establish an intelligent monitoring and early warning technology system for spatial changes, and uses human-computer interaction to interpret and extract the types of human interference, comprehensively reflecting the changes in the quantity and intensity of human activities within the ecological protection red line.

[0006] Specifically, the assessment method makes full use of modern information technologies such as high-resolution remote sensing, artificial intelligence, big data, and Internet+, develops automated surface information interpretation technology based on deep learning and object-oriented image analysis, extracts and constructs a complete remote sensing interpretation rule set and knowledge base, studies automatic identification technology for land use changes within the ecological protection red line of the assessment area and multi-purpose development space conflict coordination technology, establishes an integrated "sky-air-ground-network" spatial change intelligent monitoring and early warning technology system, automatically identifies and extracts land use changes and human activity information within the ecological protection red line of the assessment area, selects identification authenticity, change type, and map type indicators, extracts human interference types through human-computer interaction, and then calculates the area affected by human activities, comprehensively reflecting the changes in the quantity and intensity of human activities within the ecological protection red line.

[0007] Specifically, the ecosystem characteristics include indicators of ecosystem type composition and number of biological communities; The ecosystem quality includes indicators of vegetation coverage, aboveground biomass, leaf area index, and ecosystem net primary productivity; The ecosystem functions mentioned include indicators of biological production, energy flow, material circulation and information transmission; The human activity disturbance includes indicators of ecosystem stress index and human disturbance index; The ecological restoration effect includes indicators of the ecological environment quality improvement index.

[0008] Specifically, the construction of the assessment model is based on obtaining historical data of the assessment area from the assessment area database, obtaining target set data and test set data for the assessment, preprocessing the target set data to remove null values, obtaining target feature data, and constructing an assessment model for the assessment of human activity disturbance on the ecological protection red line through the target feature data based on improved stepwise regression and convolutional neural network algorithms, inputting the test set data into the assessment model, and testing the accuracy and sensitivity of the assessment model; The assessment model is a technology that uses a neural network model for machine learning and prediction. By constructing a multi-level neural network structure, useful feature information is automatically extracted from a large amount of data in the assessment area database, thereby realizing automated processing of classification, regression or other complex tasks of the target set data. The feature information of the ecological protection red line anthropogenic activity disturbance assessment can be automatically extracted from the assessment area database, thereby realizing accurate identification and reading of the ecological protection red line anthropogenic activity disturbance assessment.

[0009] Specifically, the evaluation index system constructs comprehensive national land space planning indicators, annual planning indicators and main functional area layout.

[0010] Specifically, the evaluation index system is based on sensing technology, data acquisition technology, automatic measurement technology, automatic control technology, computer application technology, special analysis software and communication network technology.

[0011] An ecological protection red line human activity disturbance assessment system comprises an assessment platform, a collection unit, a processing module, a main control module, an assessment database, an assessment model, an analysis module, a storage module, a prediction module and a log module. The assessment platform provides a platform support for the assessment of ecological protection red line human activity disturbance in the assessment area. The collection unit collects data for assessment of ecological protection red line human activity disturbance in the assessment area based on an assessment index system. The processing module is used to process the collected data. The main control module provides control for the assessment system. The assessment database is used to store the assessment data. The assessment model performs an assessment of ecological protection red line human activity disturbance in the assessment area based on the assessment data to obtain the assessment data. The analysis module analyzes the assessment data through computer technology and big data technology to obtain assessment and analysis data of ecological protection red line human activity disturbance in the assessment area. The storage module is used to store the assessment data and the assessment and analysis data. The prediction module performs ecological prediction based on the assessment area data. The log module is used to record the assessment data of ecological protection red line human activity disturbance in the assessment area to form dynamic tracking of assessment in the assessment area.

[0012] Specifically, the evaluation system also includes a sharing module, which obtains user permissions through the evaluation platform and shares the data obtained by the evaluation system.

[0013] Beneficial effects of the present invention: (1) The method and system for assessing human activity disturbances on the ecological protection red line described in the present invention adopts the construction of an assessment index system to obtain assessment data of the assessment area. Based on remote sensing, the Internet of Things, big data and computer technology, an assessment model for human activity disturbances on the ecological protection red line is constructed to assess, analyze and predict human activity disturbances on the ecological protection red line, and comprehensively reflect the changes in the number and intensity of human activities within the ecological protection red line. The assessment system has high accuracy, reliability, usability, versatility, stability, interpretability and simplicity, and provides data support for ecological protection in the assessment area; (2) The present invention provides a method and system for assessing human disturbance to the ecological protection red line. The assessment index system adopted by the present invention includes ecosystem characteristics, ecosystem quality, ecosystem function, human disturbance and ecological restoration effect, which makes the assessment of human disturbance to the ecological protection red line in the assessment area more systematic, comprehensive and accurate. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] The present invention is further described below in conjunction with the accompanying drawings and embodiments.

[0015] Figure 1 A flow chart of an evaluation method and system for evaluating an ecological protection red line disturbance caused by human activities provided by the present invention; Figure 2 A working principle diagram of an assessment system for an ecological protection red line human activity disturbance assessment method and system provided by the present invention. DETAILED DESCRIPTION

[0016] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0017] like Figure 1 and Figure 2 As shown, a method for evaluating disturbance caused by human activities on an ecological protection red line of the present invention comprises the following steps: Step 1: Determine the assessment area: Based on remote sensing and Internet of Things technology, determine the assessment area of ​​human activity disturbance on the ecological protection red line; Step 2: Constructing the evaluation index system: Based on the Internet of Things technology, the evaluation index system is constructed for the objects and key contents of the evaluation within the ecological protection red line, taking into account the types, structures, functions and components of the ecosystem within the ecological protection red line of the evaluation area and the changes in the ecological status; Step 3: Acquisition of assessment data: Based on big data technology, remote sensing and Internet of Things technology, historical data and dynamic data of the monitoring and assessment areas are obtained to establish an assessment area database; Step 4: Construct an assessment model: Based on a convolutional neural network, construct an assessment model for the human activity disturbance assessment area of ​​the ecological protection red line; Step 5: Disturbance assessment: Based on the Internet of Things technology, the real-time data of the assessment is processed and fed back to the assessment model to obtain the assessment data of the disturbance caused by human activities on the ecological protection red line of the assessment area; Step 6. Assessment and analysis: Analyze the assessment data of human-induced disturbance of ecological red line in the assessment area, obtain the assessment and analysis report of human-induced disturbance of ecological red line in the assessment area, make the assessment and analysis into charts, establish the assessment log of human-induced disturbance of ecological red line in the assessment area, and form the dynamic tracking of assessment in the assessment area; The evaluation index system includes ecosystem characteristics, ecosystem quality, ecosystem functions, human activity interference and ecological restoration effects; The assessment method uses modern information technology to establish an intelligent monitoring and early warning technology system for spatial changes, and uses human-computer interaction to interpret and extract the types of human interference, comprehensively reflecting the changes in the quantity and intensity of human activities within the ecological protection red line.

[0018] Specifically, the assessment method makes full use of modern information technologies such as high-resolution remote sensing, artificial intelligence, big data, and Internet+, develops automated surface information interpretation technology based on deep learning and object-oriented image analysis, extracts and constructs a complete remote sensing interpretation rule set and knowledge base, studies automatic identification technology for land use changes within the ecological protection red line of the assessment area and multi-purpose development space conflict coordination technology, establishes an integrated "sky-air-ground-network" spatial change intelligent monitoring and early warning technology system, automatically identifies and extracts land use changes and human activity information within the ecological protection red line of the assessment area, selects identification authenticity, change type, and map type indicators, extracts human interference types through human-computer interaction, and then calculates the area affected by human activities, comprehensively reflecting the changes in the quantity and intensity of human activities within the ecological protection red line.

[0019] Specifically, the ecosystem characteristics include indicators of ecosystem type composition and number of biological communities; The ecosystem quality includes indicators of vegetation coverage, aboveground biomass, leaf area index, and ecosystem net primary productivity; The ecosystem functions mentioned include indicators of biological production, energy flow, material circulation and information transmission; The human activity disturbance includes indicators of ecosystem stress index and human disturbance index; The ecological restoration effect includes indicators of the ecological environment quality improvement index.

[0020] Specifically, the construction of the assessment model is based on obtaining historical data of the assessment area from the assessment area database, obtaining target set data and test set data for the assessment, preprocessing the target set data to remove null values, obtaining target feature data, and constructing an assessment model for the assessment of human activity disturbance on the ecological protection red line through the target feature data based on improved stepwise regression and convolutional neural network algorithms, inputting the test set data into the assessment model, and testing the accuracy and sensitivity of the assessment model; The assessment model is a technology that uses a neural network model for machine learning and prediction. By constructing a multi-level neural network structure, useful feature information is automatically extracted from a large amount of data in the assessment area database, thereby realizing automated processing of classification, regression or other complex tasks of the target set data. The feature information of the ecological protection red line anthropogenic activity disturbance assessment can be automatically extracted from the assessment area database, thereby realizing accurate identification and reading of the ecological protection red line anthropogenic activity disturbance assessment.

[0021] Specifically, the evaluation index system constructs comprehensive national land space planning indicators, annual planning indicators and main functional area layout.

[0022] Specifically, the evaluation index system is based on sensing technology, data acquisition technology, automatic measurement technology, automatic control technology, computer application technology, special analysis software and communication network technology. Sensing technology is to obtain information from natural sources. Data acquisition technology refers to the automatic acquisition of non-electrical or electrical signals from analog and digital test units such as sensors and other equipment under test, and sending them to the host computer for analysis and processing. Automatic measurement technology is used to ensure the accuracy and reliability of the measurement results of monitoring indicators in the evaluation area. Automatic control technology ensures the automated operation of the monitoring system, reduces human intervention, and improves monitoring efficiency. Computer application technology is used for data processing, storage and analysis to ensure the accuracy and availability of monitoring data and for real-time transmission and analysis of data. Special analysis software and communication network technology are used to ensure the timeliness and effectiveness of monitoring data.

[0023] An ecological protection red line human activity disturbance assessment system includes an assessment platform, a collection unit, a processing module, a main control module, an assessment database, an assessment model, an analysis module, a storage module, a prediction module and a log module. The assessment platform provides a platform support for the assessment of human activity disturbance in the assessment area ecological protection red line. The collection unit collects data for the assessment of human activity disturbance in the assessment area ecological protection red line based on the assessment index system. The processing module is used to process the collected data. The main control module provides control for the assessment system. The assessment database is used to store the assessment data. The assessment model performs an assessment of human activity disturbance in the assessment area ecological protection red line based on the assessment data to obtain the assessment data. The analysis module analyzes the assessment data through computer technology and big data technology to obtain the assessment and analysis data of human activity disturbance on the ecological protection red line of the assessment area; the storage module is used to store the assessment data and the assessment and analysis data; the prediction module performs ecological prediction based on the assessment area data; the log module is used to record the assessment data of human activity disturbance on the ecological protection red line of the assessment area to form a dynamic tracking of the assessment area assessment; the output end of the acquisition unit is electrically connected to the input end of the processing module, the output end of the processing module is electrically connected to the input end of the main control module, and the output end of the main control module is electrically connected to the assessment database, the assessment model, the analysis module, the storage module, the prediction module and the log module.

[0024] Specifically, the evaluation system also includes a sharing module, which obtains user permissions through the evaluation platform, shares the data obtained by the evaluation system, and improves data availability.

[0025] When in use, based on remote sensing and Internet of Things technology, determine the assessment area of ​​human activity disturbance of the ecological protection red line; based on Internet of Things technology, for the objects and key contents of the assessment within the ecological protection red line, comprehensively consider the type, structure, function and its components and ecological status changes of the ecosystem within the ecological protection red line of the assessment area to build an assessment index system; based on big data technology, remote sensing and Internet of Things technology, obtain historical data and dynamic data of the monitoring and assessment area, establish an assessment area database, obtain historical data of the assessment area based on the assessment area database, obtain target set data and test set data for assessment, pre-process the target set data to remove null values, obtain target feature data, build an assessment model for the assessment of human activity disturbance of the ecological protection red line through target feature data based on improved stepwise regression and convolutional neural network algorithms, input the test set data into the assessment model, test the accuracy and sensitivity of the assessment model, and provide platform support for the assessment of human activity disturbance of the ecological protection red line in the assessment area; the collection unit collects data for the assessment of human activity disturbance of the ecological protection red line in the assessment area based on the evaluation index system; the processing module is used to process the collected data; the main control module provides control for the assessment system; the assessment database is used to store the assessment data; Real-time data processing is fed back to the assessment model. The assessment model conducts an assessment of the human-induced disturbance of the ecological protection red line in the assessment area based on the assessment data, and obtains the assessment data of the human-induced disturbance of the ecological protection red line in the assessment area. The analysis module analyzes the assessment data of the human-induced disturbance of the ecological protection red line in the assessment area, obtains an assessment analysis report of the human-induced disturbance of the ecological protection red line in the assessment area, and graphs the assessment analysis. The prediction module conducts ecological prediction based on the data in the assessment area. The log module is used to record the assessment data of the human-induced disturbance of the ecological protection red line in the assessment area, establish an assessment log of the human-induced disturbance of the ecological protection red line in the assessment area, and form an assessment report. Dynamic tracking of regional assessments is carried out by obtaining assessment data for the assessment area by constructing an assessment indicator system. Based on remote sensing, the Internet of Things, big data and computer technology, an assessment model for human activity disturbances on the ecological protection red line is constructed to assess, analyze and predict human activity disturbances on the ecological protection red line. This comprehensively reflects the changes in the number and intensity of human activities within the ecological protection red line. The assessment system has high accuracy, reliability, usability and versatility, stability, interpretability and simplicity, providing data support for ecological protection in the assessment area, and making the assessment of human activity disturbances on the ecological protection red line in the assessment area more systematic, comprehensive and accurate.

[0026] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of the present invention is defined by the attached claims and their equivalents.

Claims

1. A method for assessing disturbance caused by human activities on the ecological protection red line, characterized by: The assessment method includes the following steps: Step 1: Determine the assessment area: Based on remote sensing and Internet of Things technology, determine the assessment area of ​​human activity disturbance on the ecological protection red line; Step 2: Constructing the evaluation index system: Based on the objects and key contents of the evaluation within the ecological protection red line, the evaluation index system is constructed by comprehensively considering the types, structures, functions and components of the ecosystem within the ecological protection red line of the evaluation area and the changes in the ecological status; Step 3: Acquisition of assessment data: Based on big data technology, remote sensing and Internet of Things technology, historical data and dynamic data of the monitoring and assessment areas are acquired to establish an assessment area database; Step 4: Construct an assessment model: Based on a convolutional neural network, construct an assessment model for the human activity disturbance assessment area of ​​the ecological protection red line; Step 5: Disturbance assessment: Based on the Internet of Things technology, the real-time data of the assessment is processed and fed back to the assessment model to obtain the assessment data of the disturbance caused by human activities on the ecological protection red line of the assessment area; Step 6. Assessment and analysis: Analyze the assessment data of human-induced disturbance of ecological red line in the assessment area, obtain the assessment and analysis report of human-induced disturbance of ecological red line in the assessment area, make the assessment and analysis into charts, establish the assessment log of human-induced disturbance of ecological red line in the assessment area, and form the dynamic tracking of assessment in the assessment area; The evaluation index system includes ecosystem characteristics, ecosystem quality, ecosystem functions, human activity interference and ecological restoration effects; The assessment method uses modern information technology to establish an intelligent monitoring and early warning technology system for spatial changes, and uses human-computer interaction to interpret and extract the types of human interference, comprehensively reflecting the changes in the quantity and intensity of human activities within the ecological protection red line.

2. The method for assessing disturbance caused by human activities on the ecological protection red line according to claim 1, characterized in that: The assessment method makes full use of modern information technologies such as high-resolution remote sensing, artificial intelligence, big data, and the Internet+, develops automated surface information interpretation technology based on deep learning and object-oriented image analysis, extracts and constructs a complete remote sensing interpretation rule set and knowledge base, studies automatic identification technology for land use changes within the ecological protection red line of the assessment area and multi-purpose development space conflict coordination technology, establishes an integrated "sky-air-ground-network" spatial change intelligent monitoring and early warning technology system, automatically identifies and extracts land use changes and human activity information within the ecological protection red line of the assessment area, selects identification authenticity, change type, and map type indicators, extracts human interference types through human-computer interaction, and then calculates the area affected by human activities, comprehensively reflecting the changes in the number and intensity of human activities within the ecological protection red line.

3. The method for assessing disturbance caused by human activities on the ecological protection red line according to claim 1, characterized in that: The ecosystem characteristics include indicators of ecosystem type composition and number of biological communities; The ecosystem quality includes indicators of vegetation coverage, aboveground biomass, leaf area index, and ecosystem net primary productivity; The ecosystem functions mentioned include indicators of biological production, energy flow, material circulation and information transmission; The human activity disturbance includes indicators of ecosystem stress index and human disturbance index; The ecological restoration effect includes indicators of the ecological environment quality improvement index.

4. The method for assessing disturbance caused by human activities on the ecological protection red line according to claim 1 is characterized by: The construction of the assessment model is based on obtaining historical data of the assessment area from the assessment area database, obtaining target set data and test set data for the assessment, preprocessing the target set data to remove null values, obtaining target feature data, and constructing an assessment model for the assessment of human activity disturbance on the ecological protection red line through the target feature data based on improved stepwise regression and convolutional neural network algorithms, inputting the test set data into the assessment model, and testing the accuracy and sensitivity of the assessment model; The assessment model is a technology that uses a neural network model for machine learning and prediction. By constructing a multi-level neural network structure, useful feature information is automatically extracted from a large amount of data in the assessment area database, thereby realizing automated processing of classification, regression or other complex tasks of the target set data. The feature information of the ecological protection red line anthropogenic activity disturbance assessment can be automatically extracted from the assessment area database, thereby realizing accurate identification and reading of the ecological protection red line anthropogenic activity disturbance assessment.

5. The method for assessing disturbance caused by human activities on the ecological protection red line according to claim 1, characterized in that: The evaluation index system constructs comprehensive national land space planning indicators, annual planning indicators and main functional area layout.

6. The method for assessing disturbance caused by human activities on the ecological protection red line according to claim 1, characterized in that: The evaluation index system is based on sensing technology, data acquisition technology, automatic measurement technology, automatic control technology, computer application technology, special analysis software and communication network technology.

7. An ecological protection red line human activity disturbance assessment system, characterized by: It includes an assessment platform, a collection unit, a processing module, a main control module, an assessment database, an assessment model, an analysis module, a storage module, a prediction module and a log module. The assessment platform provides platform support for the assessment of human-induced disturbance of ecological protection red lines in the assessment area. The collection unit collects data for the assessment of human-induced disturbance of ecological protection red lines in the assessment area based on the assessment index system. The processing module is used to process the collected data. The main control module provides control for the assessment system. The assessment database is used to store the assessment data. The assessment model conducts an assessment of human-induced disturbance of ecological protection red lines in the assessment area based on the assessment data to obtain the assessment data. The analysis module analyzes the assessment data through computer technology and big data technology to obtain assessment and analysis data of human-induced disturbance of ecological protection red lines in the assessment area. The storage module is used to store the assessment data and the assessment and analysis data. The prediction module conducts ecological prediction based on the assessment area data. The log module is used to record the assessment data of human-induced disturbance of ecological protection red lines in the assessment area to form dynamic tracking of assessment in the assessment area.

8. The ecological protection red line human activity disturbance assessment system according to claim 7 is characterized by: The evaluation system also includes a sharing module, which obtains user permissions through the evaluation platform and shares the data obtained by the evaluation system.

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