Grassland carbon sink metering method based on big data acquisition and analysis

Abstract

The invention relates to the technical field of grassland carbon sink metering, in particular to a grassland carbon sink metering method based on big data acquisition and analysis, which comprises the following steps: step 1, establishing a carbon sink system, determining the nature of a to-be-detected grassland according to different grassland types, different utilization modes and different degraded grassland based on Internet big data, and formulating a standard carbon sink system; 2, carbon reserves are calculated, meteorological data of a test sample plot are collected and called, and a carbon library in an ecological system is monitored; 3, carbon sink quantity essence monitoring, wherein plants and soil of the test sample plot are monitored; 4, data synchronization: inputting the carbon library and the carbon sink quantity into a carbon sink system, synchronously realizing establishment of a data chart through a database tool, and calculating actual carbon sink measurement; through monitoring of internet big data and real-time data, actual grassland carbon sink metering can be calculated through a database, the carbon sink metering mode is further improved, and the construction cost is reduced.

Description

Technical Field

[0001] This invention relates to the field of grassland carbon sequestration technology, specifically a grassland carbon sequestration measurement method based on big data collection and analysis. Background Technology

[0002] Grassland ecosystems absorb carbon dioxide from the atmosphere through photosynthesis and fix it in the form of organic carbon within grassland plants and soil, thus forming a "carbon sink" for grassland ecosystems. Its total carbon storage accounts for about 30% to 34% of the total carbon storage of terrestrial ecosystems, making it the second largest carbon sink on land after forests. Grassland carbon sink is not only an ecological concept, but also a transformation of grassland production and lifestyle. Since 2000, my country has carried out a series of grassland ecological restoration projects, significantly improving the carbon sequestration capacity of grasslands through the implementation of key ecological projects and grassland protection and construction projects.

[0003] According to publicly available information, grassland carbon sequestration measurement has been a new technology that we have been continuously researching and improving. Its basic approach is to strengthen the construction of existing field ecological monitoring stations to obtain high-precision basic data on grassland carbon storage and carbon sequestration. However, to obtain data continuously and reliably, it is necessary to continuously strengthen the construction of comprehensive monitoring stations, which will continuously increase costs.

[0004] To address the shortcomings and deficiencies of the existing technologies, a grassland carbon sequestration measurement method based on big data collection and analysis is provided. Summary of the Invention

[0005] (a) Technical problems to be solved

[0006] To address the shortcomings of existing technologies, this invention provides a grassland carbon sequestration measurement method based on big data collection and analysis. By monitoring internet big data and real-time data, and through a database, it can calculate the actual grassland carbon sequestration measurement, further improving the carbon sequestration measurement method and reducing construction costs.

[0007] (II) Technical Solution

[0008] To achieve the above objectives, this invention provides a grassland carbon sequestration measurement method based on big data collection and analysis, comprising the following steps:

[0009] Step 1: Establishment of a carbon sink system. Based on Internet big data, the grasslands under inspection are qualitatively classified according to different grassland types, different utilization methods, and different degraded grasslands, and a standard carbon sink system is formulated.

[0010] Step 2: Carbon storage estimation. Collect and retrieve meteorological data from the test plots, analyze and calculate the meteorological data of various plants and soils in the grassland ecosystem, and monitor the carbon pool in the ecosystem.

[0011] Step 3: Actual monitoring of carbon sequestration, monitoring of plants and soil in the test plots, and investigation and collection of real-time data to estimate the carbon sequestration of the ecosystem.

[0012] Step 4: Data synchronization. Input the carbon pool and carbon sink amount into the carbon sink system, use database tools to synchronize and create data charts, and calculate the actual carbon sink measurement.

[0013] Preferably, the big data collection and analysis includes the following modules:

[0014] The data acquisition module is used to collect big data from the Internet, including but not limited to carbon sequestration data and meteorological data of the test sample plots;

[0015] The real-time monitoring module is used to verify the real-time monitoring of plants and soil in the sample plots;

[0016] The auxiliary analysis module analyzes and calculates the monitored data based on internet big data.

[0017] The data synchronization module is used to deploy data synchronization between multiple systems and to react quickly to data changes;

[0018] The display module is used to show the results of verifying the actual carbon sequestration of the sample plot.

[0019] Preferably, the different grassland types in step one include typical grassland, desertified grassland and meadow grassland. Based on Internet big data, the test plots are qualitatively characterized, and carbon sink data are retrieved from the database to establish a standard carbon sink system.

[0020] Preferably, the establishment of the standard carbon sink system also includes collecting information from big data and conducting data analysis to establish corresponding carbon sink systems for different utilization methods of grasslands, such as grazing, harvesting, and enclosure.

[0021] Preferably, the carbon pool in step two includes the total carbon content of the three ecosystems: the grassland vegetation layer, the underground root system layer, and the soil layer.

[0022] Preferably, the real-time monitoring application in step three is ecosystem remote sensing technology, used to monitor and calculate the biomass of the test plots and assess the photosynthetic capacity and carbon sequestration of plants.

[0023] Preferably, the data synchronization in step four includes standard carbon sink system data, total carbon sequestration data of the three ecosystems of grassland aboveground vegetation layer, underground root system layer and soil layer, and carbon sequestration data of test plots estimated based on monitoring data.

[0024] Preferably, the data acquisition module includes data acquisition from a database, network data acquisition, and data acquisition from sensing devices.

[0025] (III) Beneficial Effects

[0026] This invention provides a grassland carbon sequestration measurement method based on big data collection and analysis, with the following advantages:

[0027] The method proposed in this invention establishes a standard carbon sink system based on Internet big data, and calculates the carbon sink of the ecosystem by combining real-time monitoring and testing meteorological data of sample plots. It uses database tools to simultaneously create data charts and calculate actual carbon sink measurement. By collecting Internet data, the carbon sink measurement method is improved, construction costs are reduced, and the calculation efficiency of grassland carbon sink measurement is further improved. Detailed Implementation

[0028] To better understand the purpose, structure, and function of this invention, a grassland carbon sequestration measurement method based on big data collection and analysis is described in further detail.

[0029] This invention discloses a grassland carbon sequestration measurement method based on big data collection and analysis, comprising the following steps:

[0030] Step 1: Establishment of a carbon sink system. Based on Internet big data, the grasslands under inspection are qualitatively classified according to different grassland types, different utilization methods, and different degraded grasslands, and a standard carbon sink system is formulated.

[0031] Step 2: Carbon storage estimation. Collect and retrieve meteorological data from the test plots, analyze and calculate the meteorological data of various plants and soils in the grassland ecosystem, and monitor the carbon pool in the ecosystem.

[0032] Step 3: Actual monitoring of carbon sequestration, monitoring of plants and soil in the test plots, and investigation and collection of real-time data to estimate the carbon sequestration of the ecosystem.

[0033] Step 4: Data synchronization. Input the carbon pool and carbon sink amount into the carbon sink system, use database tools to synchronize and create data charts, and calculate the actual carbon sink measurement.

[0034] Specifically, in step one of this invention, different grassland types include typical grassland, desertified grassland, and meadow grassland. Based on big data from the Internet, the test plots are qualitatively characterized, and carbon sink data is retrieved from the database to establish a standard carbon sink system. Grassland ecosystems absorb carbon dioxide from the atmosphere through photosynthesis and fix carbon in the form of organic carbon in grassland plants and grassland soil, thus forming a "carbon container" of the grassland ecosystem. Therefore, the carbon content of different grassland types is different. The establishment of the standard carbon sink system also includes collecting information from big data and conducting data analysis on different utilization methods such as whether the grassland is grazing, harvested, or fenced off, to establish a corresponding carbon sink system. The carbon pool in step two includes the total carbon content in the three ecosystems of grassland: the aboveground vegetation layer, the underground root layer, and the soil layer.

[0035] The data synchronization in step four includes data from the standard carbon sink system, as well as total carbon sequestration data from the three ecosystems of grassland vegetation layer, underground root system layer, and soil layer, and carbon sequestration data of the test plots calculated based on monitoring data. The real-time monitoring application in step three is ecosystem remote sensing technology, which is used to monitor and calculate biomass of test plots and assess the photosynthetic capacity and carbon sequestration of plants. Specifically, it is the terrestrial ecosystem carbon sequestration integrated observation system. This system can invert and estimate the ecosystem GPP and can accurately complete the comprehensive dynamic monitoring of terrestrial ecosystem carbon sequestration. It is an existing technology product, so it will not be described in detail.

[0036] Furthermore, big data collection and analysis includes the following modules:

[0037] The data acquisition module is used to collect big data from the Internet, including but not limited to carbon sequestration data and meteorological data of the test sample plots;

[0038] The real-time monitoring module is used to verify the real-time monitoring of plants and soil in the sample plots;

[0039] The auxiliary analysis module analyzes and calculates the monitored data based on internet big data.

[0040] The data synchronization module is used to deploy data synchronization between multiple systems and to react quickly to data changes;

[0041] The display module is used to show the results of verifying the actual carbon sequestration of the sample plot.

[0042] The data acquisition module includes data acquisition from databases, network data acquisition, and data acquisition from sensing devices.

[0043] The method proposed in this invention establishes a standard carbon sink system based on internet big data. This data consists of existing grassland carbon sink survey results, combined with real-time monitoring of meteorological data from test plots to estimate the carbon sink of the ecosystem. Database tools are used to simultaneously create data charts and calculate actual carbon sink measurements. By collecting internet data, the carbon sink measurement method is improved, construction costs are reduced, and the computational efficiency of grassland carbon sink measurement is further enhanced. It can utilize existing remote sensing technology for monitoring and, combined with existing internet big data, can effectively estimate the actual carbon sink of the tested plots, playing a key role in future grassland carbon sink measurement methods.

[0044] It is understood that the present invention has been described through some embodiments, and those skilled in the art will recognize that various changes or equivalent substitutions can be made to these features and embodiments without departing from the spirit and scope of the invention. Furthermore, under the teachings of the present invention, these features and embodiments can be modified to adapt to specific situations and materials without departing from the spirit and scope of the invention. Therefore, the present invention is not limited to the specific embodiments disclosed herein, and all embodiments falling within the scope of the claims of this application are within the protection scope of the present invention.

Claims

1. A grassland carbon sequestration measurement method based on big data collection and analysis, characterized in that, Includes the following steps: Step 1: Establishment of a carbon sink system. Based on Internet big data, the grasslands under inspection are qualitatively classified according to different grassland types, different utilization methods, and different degraded grasslands, and a standard carbon sink system is formulated. Step 2: Carbon storage estimation. Collect and retrieve meteorological data from the test plots, analyze and calculate the meteorological data of various plants and soils in the grassland ecosystem, and monitor the carbon pool in the ecosystem. Step 3: Actual monitoring of carbon sequestration, monitoring of plants and soil in the test plots, and investigation and collection of real-time data to estimate the carbon sequestration of the ecosystem. Step 4: Data synchronization. Input the carbon pool and carbon sink amount into the carbon sink system, use database tools to synchronize and create data charts, and calculate the actual carbon sink measurement.

2. The grassland carbon sequestration measurement method based on big data collection and analysis according to claim 1, characterized in that, The big data collection and analysis includes the following modules: The data acquisition module is used to collect big data from the Internet, including but not limited to carbon sequestration data and meteorological data of the test sample plots. The real-time monitoring module is used to verify the real-time monitoring of plants and soil in the sample plots; The auxiliary analysis module analyzes and calculates the monitored data based on internet big data. The data synchronization module is used to deploy data synchronization between multiple systems and to react quickly to data changes; The display module is used to show the results of verifying the actual carbon sequestration of the sample plot.

3. The grassland carbon sequestration measurement method based on big data collection and analysis according to claim 1, characterized in that, In step one, the different grassland types include typical grassland, desertified grassland and meadow grassland. Based on Internet big data, the test plots are qualitatively characterized, and carbon sink data are retrieved from the database to establish a standard carbon sink system.

4. The grassland carbon sequestration measurement method based on big data collection and analysis according to claim 3, characterized in that, The establishment of the standard carbon sink system also includes collecting information from big data and conducting data analysis to establish corresponding carbon sink systems for different utilization methods of grasslands, such as grazing, harvesting, and enclosure.

5. The grassland carbon sequestration measurement method based on big data collection and analysis according to claim 1, characterized in that, The carbon pool in step two includes the total carbon content of three ecosystems: the grassland vegetation layer, the underground root system layer, and the soil layer.

6. The grassland carbon sequestration measurement method based on big data collection and analysis according to claim 1, characterized in that, The real-time monitoring application in step three is ecosystem remote sensing technology, which is used to monitor and calculate the biomass of the test plots and assess the photosynthetic capacity and carbon sequestration of plants.

7. The grassland carbon sequestration measurement method based on big data collection and analysis according to claim 5, characterized in that, The data synchronization in step four includes standard carbon sink system data, total carbon sequestration data from the three ecosystems of grassland vegetation layer, underground root system layer and soil layer, and carbon sequestration data of test plots estimated based on monitoring data.

8. A grassland carbon sequestration measurement method based on big data collection and analysis according to claim 2, characterized in that, The data acquisition module includes data acquisition from databases, network data acquisition, and data acquisition from sensing devices.