20 results about "Environmental media" patented technology

The invention discloses a coupling model framework for simulating nitrogen dynamics in a flowing water ecosystem and a construction method of the coupling model framework, and relates to the technical field of environmental protection, including hydrodynamic flow, substance diffusion between environmental media and microbial metabolism, and the construction method of the coupling model framework comprises the following steps: (1) establishing a hydrodynamic model; (2) establishing an inter-environmental-medium nitrogen transmission diffusion model; (3) establishing a gene center model of metabolism of inorganic nitrogen and organic nitrogen; (4) constructing a nitrogen dynamic numerical simulation system in the flowing water ecosystem in a coupling manner; and (5) decoupling a dominant factor and a nitrogen conversion mechanism of a nitrogen dynamic state in the quantification system. By simulating the nitrogen dynamic state of the flowing water ecosystem, dominant factors and a nitrogen conversion mechanism of the nitrogen dynamic state in the water ecosystem can be accurately described, so that effective suggestions can be provided for nitrogen dynamic regulation and control and eutrophication management and control of the water ecosystem.

The invention relates to an NAPL contaminated site comprehensive evaluation method based on environmental medium driving. The NAPL contaminated site comprehensive evaluation method comprises the following steps: collecting a contaminated site soil sample and an underground water sample and measuring physicochemical property parameters of the soil sample and the underground water sample; simulating the migration process of the NAPL in the underground environment by using a microfluidic experimental device to obtain a migration form change image in the migration process of the NAPL; for a migration form change image in the NAPL migration process, a multi-scale image processing algorithm is adopted to carry out feature parameter extraction; inputting the measured physicochemical characteristic parameters into a model constructed based on multi-factor coupling so as to compare an error between a model prediction result and an experimental measurement value; and in combination with GIS analysis, the pollution condition is determined according to a model prediction result, the risk level is judged, and a repair suggestion is given. According to the method, multiple key environmental factors are comprehensively considered, accurate data are obtained through a microfluidic experiment, a reliable migration model is constructed, and the NAPL pollution condition is accurately evaluated.

This disclosure discloses a method for predicting the environmental transformation performance of pollutants, comprising: obtaining a first target reactivity parameter of a target pollutant and a second target reactivity parameter of a target environmental medium, wherein the first target reactivity parameter includes at least one of the following: a first ionization potential, a first affinity potential, molecular hardness, and molecular softness; the second target reactivity parameter includes: redox potential; inputting the first target reactivity parameter and the second target reactivity parameter into a pre-trained activation energy prediction model, and outputting a target reaction activation energy, wherein the target reaction activation energy characterizes the reaction activation energy of the transformation of the target pollutant on the surface of the target environmental medium; and predicting the transformation performance of the target pollutant on the target environmental medium based on the target reaction activation energy.

The application relates to the technical field of environmental pollution prevention, and discloses a sample analysis method based on environmental monitoring services and environmental pollution treatment, which comprises the following steps: step one, environmental medium selection and pollutant determination; step two, data collection and fusion; step three, dynamic data adjustment and analysis; step four, determination of detection items; step five, separate collection; and step six, result analysis. The method helps to improve the representativeness and accuracy of sampling, reduces errors caused by a small number of samples, uses a machine learning algorithm to accurately evaluate the pollution level, and achieves the beneficial effects of solving the sampling errors caused by a small number of samples and not causing data homogenization.

The invention provides a soil pollution source identification and database construction method and system based on a space-time mapping knowledge domain and dynamic updating. Relates to the technical field of environment monitoring, and the method comprises the steps: constructing a four-dimensional space-time knowledge graph containing pollution sources, pollutants, environment media and space-time information, and mining a complex relation between the pollution sources and the pollutants in combination with a fusion model of a random forest and a graph neural network, thereby achieving the precise recognition of potential pollution sources and the quantification of the pollution contribution degree. And further designing a soil pollution source time sequence database, introducing a multi-dimensional attribute tag, carrying out structured storage on an identification result and associated data, constructing a data dynamic updating rule through a timestamp and a trigger, and carrying out continuous correction and optimization on database data in combination with a priority rule chain and a conflict resolution mechanism. According to the invention, the accuracy and timeliness of soil pollution source identification are improved, and reliable data support is provided for soil environment precise supervision and pollution control decision.

The invention belongs to the field of detection, and discloses a method for simultaneously detecting multiple fluoro lithium salts in an environmental medium. The method comprises the following steps: (1) pretreatment: extracting a to-be-detected environmental medium with an extraction solvent, and taking supernate after centrifugal separation; (2) preparing a standard curve: detecting the standard solution of the fluoro lithium salt by using high performance liquid chromatography-tandem mass spectrometry (LC-MS / MS) to obtain the standard curve; and (3) testing the supernate in the step (1) according to the operation of the high performance liquid chromatography-tandem mass spectrometry in the step (2), and then substituting the peak area into the standard curve. The LC-MS / MS is adopted, 11 kinds of fluoro lithium salts can be qualitatively and quantitatively analyzed at the same time, multiple kinds of detection are achieved, the detection method is high in accuracy and stable, and follow-up research and development of the fluoro lithium salts are facilitated.

The invention relates to the technical field of environmental monitoring and environmental engineering, in particular to a landfill surrounding environment multi-medium cooperative monitoring network layout method, which comprises the following steps of: acquiring basic site information around a landfill, and judging whether a region is influenced by tide; performing short-term continuous groundwater level monitoring to obtain groundwater level time sequence data and dividing a tide level stage if being affected by tide; calculating the hydraulic gradient direction of underground water in each tide level stage, and determining a potential pollution migration direction area under the corresponding tide level stage; a monitoring section line is determined in the direction perpendicular to the hydraulic gradient, and a multi-medium monitoring point combination is cooperatively arranged; and verifying and adjusting the multi-medium monitoring point combination, and carrying out monitoring network layout on the surrounding environment of the landfill site according to the verification and adjustment. According to the method, the monitoring network layout can adapt to the periodic change of the flow direction of underground water under the tidal effect, the space-time correspondence among different environmental medium monitoring results is enhanced, and the identification and support capabilities of the potential pollution migration process are improved.

2. Summary: 2.1 Technical problem: Existing methods for assessing environmental overexploitation by companies have significant shortcomings, in particular a lack of a uniform methodology for the consistent and comparable assessment of different dimensions of environmental impact across industries and regions. 2.2 Solution: The system analyzes payment flows as valued benefit flows and uses an algorithm to determine the utilization of various environmental factors. It measures the relationship between the regenerative capacity and the actual utilization of environmental resources, calculates a sustainability rating and environmental value, normalizes the environmental load capacity, and calculates a dimensionless disparity measure. The system uses specifically selected proxies that operationalize folder and control parameters and employs innovative mathematical structures such as directed graphs and matrices. 2.3 Area of ​​application: The system is used in companies across various industries to quantify, assess, and control environmental impacts within the framework of sustainable management and within the carrying capacity limits of the environmental media involved.

The present application relates to a blood lead source analysis method, belonging to the technical field of environmental health, solving the problems of low efficiency and insufficient refinement of the existing blood lead tracing method. The method comprises: establishing a database; collecting blood samples of survey objects, and detecting blood lead isotope detection results; according to the characteristics of the survey objects in the survey object basic information database, extracting the environmental medium lead isotope concentration data and exposure contact data conforming to the characteristics of the survey objects from the database; according to the blood lead isotope detection results and the extracted environmental medium lead isotope concentration data conforming to the characteristics of the survey objects, three kinds of environmental media are screened out, and the overall contribution ratio of each kind of environmental medium screened out and the source contribution rate of small class environmental medium or exposure path are calculated. The method of the present application is high in efficiency and high in refinement degree.

The application provides a pollution analysis method, device and electronic equipment, including: obtaining pollution sample data, grouping the pollution sample data based on a preset environmental medium and a preset sample extraction method to obtain pollution sample data sets of multiple different environmental media; determining distribution information of the pollution sample data according to the multiple pollution sample data sets; and determining an influencing factor and a risk type of the distribution of the pollution sample data according to the distribution information. The pollution analysis method can realize the mastery of the spatial distribution, influencing factor and ecological risk of the pollution in the water environment by obtaining the pollution sample data, so as to solve the problem that the distribution mechanism and risk of the reservoir pollution are unknown, strengthen the cognition of the overall reservoir pollution, and help the control and management of the reservoir pollution.

This invention provides a high-precision analytical method for lithium and its isotopes in complex environmental media. The method includes: preparing test solutions using differentiated pretreatment processes for different types of environmental samples; analyzing the lithium and other metal element content in the obtained solutions using inductively coupled plasma mass spectrometry (ICP-MS), employing a conventional analysis mode for lithium analysis and using rhodium as an online internal standard for calibration; performing lithium isotope separation and purification on the obtained solutions, including a cation exchange chromatography step, determining the optimal lithium collection range through elution curves, and obtaining purified lithium samples; and using a multi-receiver ICP-MS combined with a standard-sample cross-validation method to perform high-precision determination of the lithium isotope ratios in the purified lithium samples. This invention establishes a systematic analytical framework covering various types of environmental media such as water, soil, sediments, plants, and hair, featuring high sensitivity, good precision, and strong matrix tolerance, and can be widely applied in environmental science, geochemistry, and pollution source tracing.

The invention discloses a bottom sealing device for a threshold-free protective airtight door, and belongs to the technical field of civil defense door sealing, the bottom sealing device comprises a door frame and a door leaf hinged to one side of the door frame, a sealing plate is arranged on one side of the door leaf, and a sliding piece is arranged on the side, close to the sealing plate, of the door leaf; the sliding piece moves in the height direction of the door leaf, and a connecting rod is hinged between the sliding piece and the sealing plate. When the sealing plate is folded to be in the vertical state, the sealing piece assembled on the surface of the sealing plate can be reliably limited in the closed space between the sealing plate and the door leaf, on one hand, external dust and sundries can be effectively prevented from invading, and the sealing piece is prevented from being polluted; on the other hand, all-directional protection can be formed on the sealing piece, and collision caused by external force and erosion caused by environmental media are reduced; therefore, when the sealing plate is unfolded to a horizontal state and is attached to the ground, the sealing piece can fully exert stable and reliable sealing performance.

Systems and methods are provided for the destruction and disposal of fluorinated materials (e.g., PFAS) while reducing gaseous PFC emissions. The method can be applied in a batch reactor or in situ to soil or other environmental media containing PFAS, such as at a soil site. The method may include mixing PFAS, a hydroxide base, and optionally a solvent in a batch reactor to form a suspension. The reaction mixture can be heated to a temperature of 25°C to 400°C for about 0.5 hours to 240 hours to defluorinate the corresponding PFAS fluorocarbons and produce defluorinated waste products. Alternatively, the suspension can be maintained at room temperature for a sufficient time. Alternatively, a hydroxide base and optionally a solvent can be sprayed onto the PFAS and optionally heated. This method converts organic fluorine present in PFAS-contaminated soil into inorganic fluorides.

The invention relates to poly-o-phenylenediamine core-shell carbon microspheres as well as a preparation method and application thereof, and the preparation method comprises the following steps: adding a solvent and an oxidizing agent into o-phenylenediamine powder for reaction, dialyzing after the reaction, and collecting to obtain the poly-o-phenylenediamine core-shell carbon microspheres. The poly-o-phenylenediamine core-shell carbon microspheres (CMs) with excellent optical stability are successfully prepared under the condition of room temperature through catalytic oxidation polymerization reaction of o-phenylenediamine (OPD). Based on the material, a novel fluorescent sensing platform is constructed, and novel ethers PFASs can be detected with high sensitivity and high selectivity. The method shows excellent applicability in actual water sample detection, and provides a reliable technical means for monitoring trace novel ethers PFASs in an environmental medium.

The invention discloses an all-weather meteorological sensing monitoring method, system and device and a medium, and the method comprises the steps: obtaining the environment parameters and current time of each target meteorological station for a plurality of target meteorological stations, and enabling the environment parameters to comprise environment media data; identifying the environmental parameters based on the current time by using a preset deep learning algorithm to obtain a target identification object; performing carousel configuration based on the plurality of target meteorological stations to obtain a standard carousel template for the plurality of environmental media data; and on the basis of the standard carousel template and the plurality of target identification objects, carousel is carried out on the plurality of environmental media data so as to monitor the plurality of target meteorological stations. The problems that the accuracy of monitored meteorological information is low due to the fact that manual participation in video analysis is needed in a traditional meteorological monitoring method, and the meteorological monitoring effect is poor due to the fact that videos are prone to being missed when the videos are called manually are solved.

The application provides a meteorology-driven pollutant multi-medium migration simulation method and system, and relates to the field of pollutant migration simulation. The method comprises the following steps: determining a plurality of environmental media of a simulation area; determining a plurality of key input parameters of the simulation area based on the plurality of environmental media of the simulation area; obtaining meteorological data of the simulation area; correcting the plurality of key input parameters of the simulation area based on the meteorological data of the simulation area; establishing a multi-medium migration simulation model of the simulation area based on the corrected plurality of key input parameters; and solving the multi-medium migration simulation model of the simulation area to determine the pollutant simulation concentration distribution of each environmental medium, which has the advantage of realizing dynamic migration simulation of pollutants in various environmental media.

This invention provides a method and system for soil pollution source identification and database construction based on spatiotemporal knowledge graphs and dynamic updates. Relating to the field of environmental monitoring technology, the method includes: constructing a four-dimensional spatiotemporal knowledge graph containing spatiotemporal information of pollution sources, pollutants, environmental media, and environmental factors; and combining a fusion model of random forest and graph neural networks to mine the complex relationships between pollution sources and pollutants, achieving accurate identification of potential pollution sources and quantification of pollution contributions. Furthermore, a soil pollution source time-series database is designed, introducing multi-dimensional attribute tags to structure the identification results and associated data. Dynamic data update rules are constructed using timestamps and triggers, and the database data is continuously corrected and optimized by combining priority rule chains and conflict resolution mechanisms. This invention improves the accuracy and timeliness of soil pollution source identification, providing reliable data support for precise soil environmental monitoring and pollution prevention and control decisions.

The present application relates to the technical field of pollutant source tracing, and discloses a method and system for tracing the source of new pollutants in a variety of environmental media based on machine learning. The method includes: collecting multivariate environmental data to construct a pollutant fingerprint library; performing spatiotemporal correlation analysis on the fingerprint library and environmental data to reconstruct the transmission path; converting the data, fingerprint library, and path map into a source node fusion to construct an analytical model to form a contribution rate matrix; and locating the pollution source through three-dimensional features based on the matrix. In a complex environmental context, the present application can integrate multi-source heterogeneous data to construct an intelligent decision-making system based on machine learning, thereby realizing automated, standardized, and precise tracing of new pollutants and improving tracing efficiency and accuracy.

This invention discloses an environmental health causal inference and risk prediction system and method based on a spatiotemporally sensitive graph neural network. It integrates multi-source heterogeneous data to construct a unified spatiotemporal representation, and utilizes a heterogeneous spatiotemporal graph neural network to model the complex network relationship between pollution sources, environmental media, exposure pathways, and health endpoints. Through a spatiotemporal conditional independence test mechanism (ST-CIT), it achieves causal structure learning and confounding control under spatiotemporal dependence, automatically identifying and quantifying multi-path causal effects. Based on the causal mechanism, it drives a graph recurrent neural network for multi-scale dynamic risk prediction, outputting interpretable early warning information. The system overcomes the bottlenecks of traditional methods, such as causal identification failure under spatiotemporally related data, difficulty in quantifying path effects, and weak prediction extrapolation. It possesses high interpretability, multi-scale adaptability, and decision support capabilities, and is suitable for urban pollution source tracing, regional health risk assessment, and precise environmental governance.

This invention relates to the field of environmental monitoring and digital twin technology, specifically a method for constructing digital twins for a full-scenario monitoring network of air, water quality, and soil. The method includes: acquiring time-series data of a first environmental medium node and writing it into a circular buffer under a global frequency reduction polling mode based on a first-in-first-out queue; calculating the local domain fluctuation characteristics by performing sliding window variance calculation; generating high-frequency update events when thresholds are exceeded, and calculating cascading trigger coefficients by combining cross-domain time delay weight matrices, spatial distance parameters, and the dot product of environmental and location vectors; generating local rendering and node wake-up commands when thresholds are exceeded to increase the acquisition frequency of the second or third environmental medium node and update the digital twin model; and then adjusting the corresponding weights using gradient descent based on the actual fluctuation characteristics. This invention balances high-timeliness response with efficient utilization of computing resources.