20 results about "Biogeochemistry" patented technology

The invention discloses a land-based data automatic receiving and preprocessing management system and method, and relates to the technical field of ocean observation data processing, and the system comprises a communication service subsystem, a data preprocessing subsystem, an intelligent perception linkage subsystem, and a data management subsystem. And full-process automatic processing of underwater acoustic real-time communication subsurface buoy observation data is realized through modular integration. Automatic receiving, safe storage and efficient preprocessing of deep sea power and biogeochemical element data are achieved, reliable data support is provided for marine scientific research and environment monitoring, and the long-term observation requirement of a 6000-meter water depth subsurface buoy system is met.

The invention provides an ocean hypoxia prediction method and device, computer equipment and a program product, and the method comprises the steps: obtaining mode drive input fields of a target sea area at different times; utilizing a plurality of coupling models in a preset ocean hypoxia forecasting model to perform identification and prediction processing on the mode driving input fields at different time to obtain a three-dimensional ocean physical state field, a biogeochemical state field and a three-dimensional dissolved oxygen concentration state field of the target sea area in a first preset time period in the future; according to the target time interval, marine environment forecast information of the target sea area in a first preset time period in the future is generated and broadcasted in a rolling mode; and extracting a target dissolved oxygen concentration state field matched with a preset area of the target sea area in the three-dimensional dissolved oxygen concentration state field, and determining oxygen deficit indication information in the preset area and generating visual oxygen deficit forecast information according to the target dissolved oxygen concentration state field and different oxygen deficit thresholds.

An estimation device 1 comprises: a model generation unit 10 that, in each time step, calculates an OBM value including the growth rate of marine microorganisms using an ocean physical value calculated from an ocean physical model and an ocean biogeochemistry model (OBM), and trains a learning model for estimating the growth rate of marine microorganisms in each time step from the relationship between the ocean physical value and the OBM value in each time step; and an estimation unit 20 that, in each time step, calculates an OBM value other than the growth rate of the marine microorganism using the ocean physical value calculated from the ocean physical model and the OBM, and uses the learning model to estimate the growth rate of the marine microorganism from the ocean physical value and the OBM value other than the growth rate of the marine microorganism.

The present disclosure provides a method, device, computer equipment and program product for predicting marine hypoxia, wherein the method comprises: obtaining a mode-driven input field of a target sea area at different times; using a plurality of coupled models in a preset marine hypoxia prediction model to respectively identify and predict the mode-driven input field at different times, to obtain a three-dimensional marine physical state field, a biogeochemical state field and a three-dimensional dissolved oxygen concentration state field of the target sea area within a first preset time period in the future; generating marine environment prediction information of the target sea area within the first preset time period in the future according to a target time interval and rolling broadcasting; extracting a target dissolved oxygen concentration state field matched with a preset region of the target sea area from the three-dimensional dissolved oxygen concentration state field, and determining hypoxia indication information in the preset region and generating visual hypoxia prediction information according to the target dissolved oxygen concentration state field and different hypoxia thresholds.

The invention discloses a halogenated hydrocarbon and heavy metal combined pollution natural attenuation life cycle benefit evaluation method, and belongs to the technical field of environmental science and engineering. The method comprises the following steps: constructing an MNA full-life-cycle system boundary, and establishing a list database including monitoring well network full-life-cycle operation and maintenance, long-term sampling analysis and natural attenuation asset accounting; establishing a biogeochemical coupling evaluation model, and introducing a coupling factor to quantify the synergistic environmental benefit of halogenated hydrocarbon anaerobic degradation and heavy metal reduction fixation; selecting global warming potential, primary energy consumption and secondary environment risk indexes to carry out characterization evaluation; a net environmental benefit (NEB) is calculated based on a time discount principle. According to the method, the ecological and economic comprehensive advantages of the MNA technology in the specific combined pollution area can be scientifically and quantitatively revealed, and a decision basis is provided for green restoration technology screening and long-term monitoring scheme optimization.

The invention discloses a fish spawning site position calculation method based on otolith microchemistry and river micronization landscape atlas, which comprises the following steps: otolith and water body sample pretreatment: taking out an otolith sample from a sample tube for slice preparation, and preparing a standard solution by using the water body sample; experimental analysis: measuring trace chemical elements, namely Sr, Ba, Mn, Mg and Ca, of otolith; data analysis: drawing a river micronized landscape map, constructing a mixed effect model to calculate otolith trace element values, constructing a random forest model based on the otolith trace element values, and performing spawning site position calculation on fish otolith core microchemistry; according to the method, a brand new biogeochemical framework is constructed, and the spawning site position of the fish is accurately calculated by combining otolith microchemistry, a river micronization landscape map and a machine learning technology.

The invention provides an ocean polymetallic crusting mineralization prediction method. The method comprises the following steps: establishing a mineral-geochemical mapping model reflecting an occurrence mechanism of mineralization elements; constructing a multi-factor coupling metallogenic mechanism judgment model for comprehensively representing three types of control factors, namely a hydrodynamic condition, a seawater geochemical condition and a microbial action; the method comprises the following steps: establishing quantitative evaluation indexes corresponding to the biogeochemical process of each stage according to three microscopic growth stages of multi-metal crusting from colloid formation, metal adsorption to precipitation mineralization, and forming a microscopic mineralization stage evaluation system; coupling a mineral-geochemical mapping model, a multi-factor coupling metallogenic mechanism judgment model and a microscopic metallogenic stage evaluation system, and establishing a bidirectional simulation model; and inputting known crusting quality parameters, inverting the bidirectional simulation model and outputting deduced macroscopic geological environment characteristics, and screening a sea and mountain area with similar environment characteristics in a target sea area according to the macroscopic geological environment characteristics so as to delineate a favorable prospective area of the multi-metal crusting.

The invention belongs to the technical field of intelligent fishery and fishing, and discloses a saury fishing boat dynamic path planning method considering fishing point changes. Comprising the following steps: acquiring marine physical and biogeochemical data and a historical fishing data set, performing data cleaning, spatial alignment and normalization processing on the data, establishing a relation model between a fishing probability and a marine environment factor, constructing a dynamic fishing boat path planning problem model, and solving and outputting an optimal path. According to the method, accurate and green fishing of saury fishery is facilitated, the economic benefits and environmental sustainability of ocean fishery are improved, and powerful technical support is provided for high-quality development of modern fishery.

The application discloses a kind of basin nitrogen multi-scale coupling simulation and accurate traceability evaluation method and system, belong to the technical field of basin water environment simulation and non-point source pollution control, method includes: based on the soil, weather, land use and nitrogen deposition data of research area, the runoff of each grid, runoff nitrogen concentration, deep leakage and nitrogen leaching amount are calculated;D8 flow direction method and triangular unit line method are used to calculate the flow rate of basin outlet;The amount of nitrogen transport of surface path is calculated using the first-order kinetic method;Based on deep leakage and nitrogen leaching amount, the kinetic model coupled with organic nitrogen mineralization, microbial assimilation and denitrification process is used to calculate the amount of nitrogen transport of underground path;Comprehensive above result, output grid scale water nitrogen flux spatial distribution map, identify the key source area of nitrogen loss.The application realizes the multi-scale integrated simulation and accurate traceability of nitrogen migration and transformation by closely coupling grid scale biogeochemical process and watershed scale hydrological process.

The application discloses a research method of influence of temperature increase and seawater intrusion on migration and transformation of coastal soil arsenic, and belongs to the technical field of biogeochemistry. The method simulates global weather warming and seawater intrusion by using temperature increase and addition of sulfate, explores the influence of temperature and sulfate on migration process of As in solid-liquid phase under the condition of flooding and driving mechanism, and explores the influence of biochar on migration and transformation of As in soil in the process of seawater intrusion by applying biochar, so as to finally obtain that temperature increase and SO4 2‑ play an important role in migration and transformation of As, Fe and S in solid-liquid phase of soil under the condition of flooding. The temperature increase can accelerate the reaction speed of As, Fe and S, the introduction of SO4 2‑ into the soil containing As under the condition of flooding can promote the processes of reductive dissolution and release and fixation of As and Fe in the soil, increase the potential risk of release of As in solid phase, and the experimental results can provide a reference for understanding of the process of migration and transformation of As in coastal soil under the influence of climate warming and seawater intrusion.

The present application relates to the technical field of biogeochemistry, and discloses a method, system, device and medium for quantitatively analyzing the influence of calcification of calcified organisms on carbon emission, comprising: setting a chemical equilibrium initial state of a target system according to a research purpose, wherein a plurality of chemical reactions exist in the target system; changing the concentration of a variable to be studied by a preset amplitude value; solving the equilibrium state of the plurality of chemical reactions under the condition that the concentration of the variable to be studied is changed by the preset amplitude value, obtaining the concentration change of a system variable of interest, and repeating the step until a preset cycle termination condition is reached; and obtaining a quantitative influence factor of the change of the variable to be studied on the target system according to the concentration change of the system variable of interest and the preset amplitude value of the concentration change of the variable to be studied. The present application proposes a simplified chemical equilibrium simulation method suitable for a carbonate system after a small disturbance, which has high precision and can be used to accurately evaluate the influence of the variable to be studied on the system variable of interest of the target system.

The present application belongs to the field of marine ecological dynamics and biogeochemical process coupling simulation technology, and particularly relates to a method for regulating marine diatom-microzooplankton competition evolution mechanism by nutrient salt-enzyme activity, comprising the following steps: constructing a model according to the double-algae niche competition principle of nutrient salt and enzyme activity regulation, introducing an enzyme activity regulation submodule, and regulating the growth, metabolism, secretion and death processes of phytoplankton. The model comprises a nutrient salt module, a phytoplankton module and a detritus module, which are respectively used for simulating the migration and transformation process of nutrient salt in the marine environment, the growth and death process of phytoplankton and the transformation process of detritus. The absorption, assimilation and transformation processes of nutrient salt are regulated by enzyme activity, and the detritus is divided into cell detritus and particulate detritus, so as to distinguish the loss of dead cell organic matter and the mineralization process of detritus, and the cell disintegration process is supplemented. Finally, the phytoplankton growth and death dynamics parameters are simulated by the model, and the mechanism of marine diatom-microzooplankton competition evolution is analyzed.

The present application relates to the technical field of environmental monitoring and ecological assessment, and specifically discloses a dynamic evaluation system for carbon flux of lakes in cold regions based on in-situ monitoring, which comprises a watershed carbon input flux monitoring module, a high-frequency monitoring module for in-situ carbon process of lakes, a multi-scale process coupling simulation engine, and a carbon flux dynamic evaluation and visualization module. By integrating the watershed input and high-frequency monitoring data in the lake, the model coupling hydrology, ice conditions and biogeochemical processes is driven to dynamically simulate the carbon migration and transformation, and the net carbon flux at multiple time scales is calculated based on mass balance, thereby realizing the systematic, accurate and visual dynamic evaluation of the carbon source and sink function of lakes in cold regions. Through the dynamic evaluation algorithm in the carbon flux dynamic evaluation and visualization module, the present application realizes the sublimation from instantaneous flux monitoring to net carbon flux evaluation at multiple time scales.

The invention relates to the technical field of environmental monitoring and ecological evaluation, and particularly discloses a cold region lake carbon flux dynamic evaluation system based on in-situ monitoring, which comprises a drainage basin carbon input flux monitoring module, a lake in-situ carbon process high-frequency monitoring module, a multi-scale process coupling simulation engine and a carbon flux dynamic evaluation and visualization module. By integrating basin input and high-frequency monitoring data in the lake, a model coupled with hydrology, ice conditions and biogeochemical processes is driven, carbon migration and transformation are dynamically simulated, and multi-time-scale net carbon flux is calculated based on mass balance, so that systematic, accurate and visual dynamic evaluation of the carbon source sink function of the lake in the cold region is realized. According to the system, sublimation from instantaneous flux monitoring to multi-time scale net carbon flux evaluation is realized through a dynamic evaluation algorithm in a carbon flux dynamic evaluation and visualization module.

The invention discloses a dynamic calculation method for an endogenous phosphorus release risk of a shallow lake. The method comprises the following steps: acquiring lake data; according to the obtained lake hydrodynamic data, constructing a wave flow coupling model for calculating hydrodynamic disturbance intensity, and calculating bottom shear stress; according to the obtained sediment characteristic data, determining a sediment resuspension critical condition, and evaluating phosphorus release potentials of sediments in different forms; coupling the calculated hydrodynamic disturbance intensity and the evaluated sediment phosphorus release potential, and constructing an endogenous phosphorus release flux dynamic calculation model; and according to the calculated endogenous phosphorus release flux, in combination with a water eutrophication critical phosphorus load threshold, evaluating an endogenous phosphorus release risk level. The method has the beneficial effects that multi-source measured data can be fully utilized, a hydrodynamic process and a biogeochemical process of polymorphic phosphorus in sediments are dynamically coupled, a mechanism-driven high-precision model is established, and dynamic, accurate and quantitative calculation of the release flux of the endogenous phosphorus in the shallow lake is realized.

The invention discloses a shellfish carbon sink prediction method and system based on machine learning, and relates to the technical field of environment information processing, and the method comprises the steps: obtaining environment data of a target sea area and shellfish ontology data, and carrying out the preprocessing, and obtaining a standardized data set; inputting the standardized data set into a causal discovery algorithm, and based on conditional independence analysis between variables, screening out a key driving factor set in a causal driving relationship with the shellfish carbon sink quantity from the standardized data set; based on the key driving factor set, constructing and training a physical information dynamic coupling prediction model; and physical constraints representing a calcification-acidification feedback mechanism are embedded in an internal calculation unit of the physical information dynamic coupling prediction model. According to the method, the key factor set of the sea area to be predicted is processed through the physical information dynamic coupling prediction model, the shellfish carbon sink prediction value is output, and reliable prediction of data driving and biogeochemical mechanism deep fusion is achieved.

This invention discloses a method for rapidly assessing the carbon stability of phytoliths based on silicon-carbon synergistic release behavior, belonging to the fields of biogeochemistry and environmental science. The method includes: obtaining phytolith samples and determining their initial silicon and carbon content; dissolving them in an alkaline solution; measuring the released silicon and carbon content in the solution to simulate actual silicon weathering and carbon loss; calculating a stability evaluation index based on the carbon and silicon release ratios, and assessing the carbon stability of the phytoliths accordingly. This method eliminates the need for long-term cultivation or complex environmental simulation, enabling rapid and quantitative assessment of carbon stability in phytoliths from different sources. It overcomes the problems of high cost, long cycle time, poor comparability, and lack of structural references in existing technologies. It is applicable to the research and application of phytolith carbon in soil, plant residues, and sediments, providing a new technical means for carbon cycle and carbon sink research.

This invention discloses a highly efficient method for the extraction and detection of typical red soil viruses, belonging to the field of soil biochemistry and environment. This invention overcomes the difficulty of extracting viruses due to their strong adsorption to red soil, and is of great significance for studying the abundance and diversity of viruses in red soil, the interaction between viruses and hosts, and the biogeochemical processes mediated by viruses.

This application provides a method and apparatus for simulating the coupled cycling of large-scale wetland plants and biogenic elements. The method includes: acquiring three-dimensional topographic scatter data and multi-source aquatic environment ecological data of a target area, where the target area is a lake wetland; the multi-source aquatic environment ecological data includes interaction data on the seasonal growth and hydrological rhythms of aquatic and wetland plants, biogenic element absorption data during growth, and biogenic element release data after withering; based on the three-dimensional topographic scatter data and multi-source aquatic environment ecological data, constructing the simulation boundary of the target area and parameters in multiple dimensions, including hydrodynamic field, temperature field, material field, and biogeochemical field; and based on the parameters in multiple dimensions, constructing a coupled aquatic environment ecological model of biogenic element cycling based on the plant growth process. This effectively improves the accuracy and completeness of the simulation of biogenic element cycling processes in lake wetland ecosystems and enhances the prediction of biogenic element transport.

The invention discloses a method and a device for automatically sampling and measuring soil greenhouse gas in a freezing and thawing process, and belongs to the technical field of environmental monitoring and soil biogeochemistry. According to the method and the device, a programmable freeze-thaw environment simulation incubator is used for implementing temperature circulation on soil in a culture bottle, and a through flow is formed by replacing inlet gas and a homologous buffer cavity, so that quantitative replacement of gas in the bottle is realized; under the automatic control of a timing control module, introducing the gas in the bottle into a pre-vacuumized sampling container in an undisturbed manner, and calculating the greenhouse gas release rate by combining a gas chromatography measurement result, the temperature, the pressure and the water vapor partial pressure; the weighing and water replenishing unit is matched, so that the soil water content can be automatically kept stable; according to the invention, greenhouse gas can be automatically collected without opening a box or a bottle in the freezing and thawing process, errors caused by external mixing and pipeline residues are reduced, and the efficiency and accuracy of soil greenhouse gas sampling and determination are remarkably improved.