38 results about "Carbon stock" patented technology

The invention discloses a method for measuring marine biological carbon fixation. The specific steps include classifying collected marine biological samples according to different species, decomposing them into different tissues and organs, drying the different tissues and organs, and calculating the amount of different tissues and organs of different species. Wet mass ratio and dry mass ratio, measure the carbon content of the sample before ashing, after ashing the sample, measure the carbon content of the sample after ashing, calculate the carbon content of the wet sample before and after ashing, and then calculate the carbon content of the wet sample according to the existing biological The existing carbon storage of marine organisms, the carbon storage of marine biological fishing removal, the carbon storage of marine biological deposition and the total carbon storage of marine organisms are estimated. The method of the present invention is simple and easy to operate, and can effectively estimate the carbon storage situation of marine organisms; at the same time, the carbon fixation capacity of different marine animals and the carbon deposition of marine animals are studied, and the species with strong carbon fixation capacity are screened out, which is marine The modular construction of pastures, carbon sink estimation and operation management provide scientific basis.

The invention provides a method for simulating the three-dimensional spatial distribution of soil organic carbon in plain areas, including (1) fitting of the optimal depth function of soil organic carbon profile changes and determination of function parameters; (2) influencing factors of soil organic carbon profile depth function parameters (3) The construction and calculation process of the three-dimensional spatial distribution simulation model. The invention constructs the environmental auxiliary variables for the simulation of the spatial distribution of soil properties in the gentle terrain area, uses the soil depth transfer function and the regression Kriging method, establishes the three-dimensional spatial distribution simulation model of soil organic carbon in the gentle terrain area, and develops the three-dimensional space of the soil organic carbon in the area The research on the distribution simulation method can not only provide a reliable simulation method for accurately grasping the three-dimensional spatiotemporal evolution information of soil organic carbon under the background of high-intensity agricultural use in flat terrain areas, but also provide a basis for accurately estimating regional organic carbon storage and ensuring soil safety and food security. method reference.

Analytical method for organic carbon bioactivity involving molecular detection. Provides an analytical method for the real-time quantitative analysis of organic carbon bioactivity against marine bacterial bioactivity. 1) preparing the organic carbon into an aqueous solution to obtain an organic carbon stock solution; 2) filtering and sterilizing the organic carbon stock solution obtained in step 1). 3) Inoculate the bacteria to be analyzed into medium M1 for pre-culture, so that the turbidity of the bacteria reaches OD600=1, centrifuge the bacteria liquid, remove the supernatant, collect the bacteria, add NaCl to the bacteria, and suspend Centrifuge again, suspend the cells with NaCl to obtain the pre-culture solution of the cells; 4) put the stock solution M2 into a culture bottle, then add sterilized distilled water, organic carbon stock solution, and the pre-culture solution of the cells, and prepare the culture bottle Cover it, put it into a micro-activity calorimeter for cultivation, record the heat change in the cultivation process, and analyze the bioactivity of organic carbon. High sensitivity, real-time detection, easy operation, good repeatability and high accuracy.

The invention discloses a method for quantitatively estimating land use change and carbon storage based on remote sensing data, comprising the following steps: downloading images; preprocessing images; classifying land use; Correlation analysis is carried out between the medium carbon storage and each eigenvalue, and the eigenvalues ​​with significant correlation are selected for modeling; the selected eigenvalues ​​are normalized as the input layer of the convolutional neural network, and the calculated carbon The density is put into the network output layer for network training, and the trained model is used to quantitatively estimate the carbon storage of the area to be studied. The present invention is based on a layered learning framework of a multi-scale convolutional neural network, enabling better land use classification results. Based on different eigenvalues ​​in images and carbon density obtained from ground survey data, the nonlinear relationship between characteristic variables and carbon storage can be better fitted, and the final quantitative estimation of regional carbon storage can be improved.

The invention relates to the technical field of agricultural cultivation, and discloses a method for corn-soybean strip type interplanting. With the adoption of the method, corns and soybeans are planted alternately in a strip type. When corn grain milk lines reach 1 / 2 to 3 / 4, a stalk and leaves above three leaves of an ear are removed, the three leaves of the ear are reserved, and all leaves below the three leaves of the ear are sheared off adopting a leaf ring as a basic standard. According to the invention, the leaves below the three leaves of the ear, and the stalk and the leaves above the three leaves of the ear are removed timely and suitably, the original source library relationship of corn plants is broken, the transport direction of organics is changed, a new source library relationship is established, a carbon pool effect of source leaves is enhanced, nutrition provided for grains is improved, simultaneously, the growing environment of the soybeans in a strip type interplanting mode is improved, and the corns and soybeans have high yield at the same time.

The invention discloses a remote sensing data-based regional carbon storage spatial pattern monitoring system and method, including a remote sensing data processing module, a measured data processing module, and a data analysis and output module; wherein, the remote sensing data processing module and the measured data processing The output terminal of the module is connected to the input terminal of the data analysis and output module; use satellite remote sensing data to monitor the area by means of precipitation, vegetation coverage, surface temperature, land use data, lighting data, DEM data and meteorological data to build models The spatiotemporal change of carbon storage overcomes the shortcoming of the long research period of carbon storage in a large area. The monitoring system also has the advantages of easy access to source data, high computer computing efficiency, low cost and strong timeliness.