25 results about "Ground water pollution" patented technology

The present application discloses an underground water real-time monitoring method and system, and a medium. The method comprises: acquiring historical environment data and historical monitoring data in an underground water monitoring area for spectral clustering data partitioning, and importing related data into a pollution monitoring model for predictive analysis and model training; acquiring pollution monitoring data in monitoring sub-areas in real time, importing the pollution monitoring data into the pollution monitoring model for pollution prediction, and obtaining pollution diffusion directions and pollution source prediction areas; and on the basis of the pollution source prediction areas and environment data of the monitoring sub-areas, calculating a monitoring demand degree of each monitoring sub-area, and generating a monitoring scheme on the basis of the monitoring demand degree. By means of the data spectral clustering method in the present application, accurate grouping and acquisition of training data can be effectively implemented, and model prediction precision is improved. In addition, the present application can realize dynamic adjustment of monitoring areas, effectively conserve human and material resources in underground water monitoring areas, and realize the cost reduction and efficiency improvement of underground water pollution monitoring.

The invention discloses a method for inverting key parameters in an underground water pollutant biodegradation numerical model based on a neural network algorithm. Carrying out preprocessing and refined dimension reduction on the data, and processing high-dimensional multi-scale data; building a multilayer neural network architecture under a physical information neural network framework, embedding a related reaction equation of a pollutant natural attenuation process, and coupling a biochemical reaction mechanism and a data driving model; a neural network model is trained, errors in the training process are calculated, and the accuracy of an inversion result is improved by using a sub-when optimization algorithm; integrating observation data and a model prediction result, determining final parameter setting of a numerical model, and carrying out underground water damage real object quantification; comparative verification of a neural network parameter inversion model is carried out, and feasibility and accuracy of the parameter inversion method are ensured. According to the method, the problem that the key parameters of the biodegradation numerical model are difficult to accurately invert in the real object quantification process of underground water pollution under complex geological conditions is solved.

The invention provides an accurate transportation control method and system for a remediation agent for in-situ remediation of underground water, and relates to the technical field of underground water pollution remediation, and the method comprises the steps: collecting an image of a drilling rock core of a polluted site and sensor data, extracting features through a visual attention network and a time sequence attention network, and carrying out the feature extraction; the features are input into a conditional probability diffusion model and fused to generate hydrogeologic feature vectors, a high-precision hydrogeologic feature model is constructed in combination with space attention mapping and a generative diffusion model, the high-precision hydrogeologic feature model is input into a multi-region collaborative simulation environment for optimization calculation, and monitoring data are fused through edge calculation nodes. And training the lightweight control model to execute repair medicament transport control.

The invention discloses an environmental pollution detection device, and belongs to the technical field of underground water pollution detection sampling devices. The environmental pollution detection device comprises a sampling assembly, the sampling assembly comprises a sampling pipe and control valves, a plurality of storage cavities are formed in the sampling pipe along the axis of the sampling pipe, the side face of each storage cavity is at least connected with one control valve, penetrating through grooves are formed in the outer side wall of the sampling pipe in the axis direction of the sampling pipe, and the control valves are all arranged in the first penetrating through grooves. The protection assembly comprises a spring and a baffle, a plurality of second penetrating through grooves are formed in the baffle, the propelling assemblies are evenly arranged in the second penetrating through grooves in the axis direction of the sampling pipe, and when the sampling pipe is lowered into a to-be-sampled water body, the baffle in the protection assembly can extrude the control valve, and components of different water body layers are prevented from being attached to an inlet of the control valve; after the sampling position is reached, the baffle moves upwards, the control valve is opened under the action of the spring, and then sampling is carried out, so that the obtained sample is more accurate and representative.

The invention discloses an underground water pollution diffusion model construction method based on multi-modal data fusion, and the method comprises the steps: fusing the dynamic time sequence characteristics of a monitoring well and the static space attributes of a geological field, and generating an initial state vector with rich information for a graph node; based on the instantaneous water level difference between the nodes and the equivalent permeability coefficient, a dynamic graph topological structure which evolves along with time and represents the hydraulic connection relation is constructed; deducing a future state through numerical integration by using a graph neural network model with a node state derivative as output; and constructing a composite loss function containing a data fitting item and a physical law residual item, and training the model through back propagation. According to the method, the dynamic graph of physical driving is constructed and the physical equation constraint is introduced, so that the model prediction has the data driving precision and the reliability of the physical mechanism, and the generalization ability and the prediction precision of the model under the complex hydrogeological condition are improved.

The invention relates to a sulfur-modified iron-based biochar slow-release composite material as well as a preparation method and application thereof. The method comprises the following steps: (1) sequentially cleaning, drying, grinding and sieving the agricultural wastes to obtain biomass material powder; oscillating the biomass material powder in an iron salt solution to obtain iron-loaded biomass material powder; (2) immersing the iron-loaded biomass material powder into a sodium acetate solution, and adding acetic acid and a sodium sulfide solution to obtain sulfur-modified iron-loaded biomass powder; and (3) preparing sulfur-modified iron-based biochar from the sulfur-modified iron-loaded biomass powder by adopting a one-step carbon reduction method, namely the sulfur-modified iron-based biochar slow-release composite material. The method is mild in reaction condition, convenient to operate and low in raw material cost, and the prepared sulfur-modified iron-based biochar slow-release composite material can remove CAHs pollutants represented by TCE in a green and long-acting mode and has a huge potential application prospect in soil-groundwater pollution remediation.

The invention relates to the field of resource utilization of agricultural and forestry wastes, in particular to modified apple branch nano biochar as well as a preparation method and application thereof. The preparation method of the modified apple branch nano biochar comprises the following steps: drying and crushing apple branches to obtain apple branch particles; impregnating the apple branch particles in a modifier solution, and then drying to obtain modifier-loaded apple branch particles; pyrolyzing the modifier-loaded apple branch particles under the protection of an inert gas atmosphere to obtain modified apple branch biochar; freezing the modified apple branch biochar, and performing ball milling to obtain modified apple branch nano biochar with nano-scale particle size; the modified apple branch nano biochar has efficient nitrogen and / or phosphorus adsorption performance, and has multiple benefits of realizing waste resource utilization, improving soil structure, enhancing nutrient storage and preventing and controlling underground water pollution.

The invention discloses an intelligent depth-adjustable sampling device for underground water pollution detection, and relates to the technical field of underground water sampling, the intelligent depth-adjustable sampling device comprises a sampling equipment main body and a controller, the bottom of the sampling equipment main body is provided with a driving device, and a supporting table is mounted above the sampling equipment main body; the device comprises a supporting table, a machine shell and a winding assembly are installed on the supporting table, a lifting device is installed at the output end of the supporting table, a drilling assembly and a sampling assembly are installed on the lifting device, a cooling assembly is arranged on the side face of the drilling assembly, and the winding assembly is matched with the sampling assembly. According to the invention, integrated intelligent operation of drilling, depth adjustment, sampling and preliminary detection is realized, and the efficiency and accuracy of underground water pollution detection sampling are significantly improved.

The application discloses a kind of ground water pollution partition prevention dynamic management system and method, method includes: obtaining the sampling data of monitoring coordinate;According to sampling data analysis, determine the detection value of influence parameter i;The first risk assessment score of detection value is calculated;Based on the influence coefficient change curve, it is judged whether there is mutual influence relationship between influence parameters, the coordinated risk assessment score of influence parameter that exists mutual influence is calculated, the first risk assessment score of corresponding influence parameter is replaced;The risk assessment score of monitoring coordinate is calculated;According to risk assessment score, the pollution prevention and control evaluation score of the water area partition corresponding to monitoring coordinate is calculated, and the pollution prevention and control partition grade of water area partition is determined.The pollution prevention and control partition grade of each water area partition is determined based on the mutual influence relationship between different influence parameters in the application, to improve the accuracy of water pollution assessment.

The invention provides a clostridium, the classification name of the clostridium is Clostridium sp.LXY-7, and the clostridium is preserved in China General Microbiological Culture Collection Center (CGMCC). The address is Institute of Microbiology, Chinese Academy of Sciences, No.3, Yard 1, Beichen West Road, Chaoyang District, Beijing; the preservation date is October 22, 2024, and the preservation number is CGMCC (China General Microbiological Culture Collection Center) No. 1.18144. The invention also provides application of the clostridium in microbial sulfate reduction and application of the clostridium in groundwater pollution treatment.

The invention discloses a soil and groundwater pollutant toxicity effect risk diagnosis and management and control method and system, and relates to the technical field of soil pollution analysis, and the method comprises the steps: collecting discharge data and toxicological parameters, calculating partial correlation coefficients, and constructing a pollutant causal relationship graph; the pollutants are divided into samples, toxicity effect nodes are added, a child causal relationship graph is extracted, and a pollutant father node set and a toxicity effect father node set are determined; calculating a first conditional probability of the pollutant node, calculating a second conditional probability and a third conditional probability of the toxicity effect node, and obtaining a conditional probability table of the pollutant node and a conditional probability table of the toxicity effect node; constructing a Bayesian network, obtaining joint probability distribution of pollutant combination, obtaining emission concentration to form an evidence vector, and calculating posterior probability distribution; the probabilities of the toxicity effect nodes in different states are obtained, the state corresponding to the maximum probability serves as the toxicity effect severity degree, and the pollutant node with the highest pollution weight is selected for preferential treatment.

The invention discloses an LNG (Liquefied Natural Gas) cold energy power generation system based on a closed buried pipe, which belongs to the technical field of cold energy power generation and comprises a ground source heat pump heating-conveying unit, a Rankine cycle power generation unit and an LNG gasification unit which are connected in sequence, the ground source heat pump heating-conveying unit comprises a closed buried pipe, a first evaporator, a first condenser, a throttling valve, a compressor and a heat exchanger, and the closed buried pipe is of a vertical coaxial sleeve structure and comprises an outer pipe and an inner pipe arranged on the inner side of the outer pipe in a sleeving mode. According to the LNG cold energy power generation system based on the closed buried pipe, the middle-deep layer closed buried pipe and the LNG cold energy power generation system are combined, a circulating heat collecting medium in the closed buried pipe does not make direct contact with the stratum environment, recharge and underground water pollution are avoided, clean and stable geothermal energy serves as a main gasification heat source, and the energy consumption is reduced. Not only can the recycling efficiency of the LNG cold energy be greatly improved, but also the consumption of a large amount of fossil fuel and the emission of carbon dioxide are reduced.

The invention provides a multi-method dynamic coupling soil and underground water heavy metal adsorption process simulation method, and belongs to the technical field of soil and underground water pollution simulation. Analyzing and screening main control factors by using a random forest and an SHAP value; constructing a plurality of machine learning models to establish a mapping relation between the main control factor and the adsorption coefficient Kd; and the optimal model is embedded into a TOUGHREACT platform, and dynamic prediction and feedback of a Kd value are realized through Fortran and Python hybrid programming. According to the method, the limitation of static setting of traditional model parameters is overcome, the simulation precision of heavy metal migration and transformation under the action of microorganisms is improved, meanwhile, the prediction advantages of mechanical property and machine learning of a physical model are reserved, and the method is suitable for adsorption behavior simulation and risk assessment of various heavy metals such as Cr (VI), Cu and As in a complex environment.

The invention discloses an ecological agricultural cultivation irrigation device which comprises a shell, a plurality of supporting legs, a driving mechanism, a side plate, a linkage mechanism, a transmission mechanism, a baffle, a mixing cylinder and a transfer mechanism, a feeding opening is vertically formed in the top of the shell, and a spraying opening is formed in one side of the shell; the plurality of supporting legs are arranged at the bottom of the shell, and the driving mechanism is arranged on the shell; the side plate is installed on the side wall of the shell, and the transmission mechanism is installed on the side plate. The transmission mechanism comprises a first mounting assembly, a second mounting assembly, a driven assembly, an auxiliary assembly and a connecting plate, and the first mounting assembly is arranged at the bottom of the side plate. Therefore, crops in the farmland can uniformly receive a proper amount of pesticide, the situation that the crops are subjected to pesticide damage due to excessive pesticide and consequently growth blocking, output reduction and even death are caused is avoided, the sufficient and proper amount of pesticide can achieve the expected pest control effect, the crop damage risk is reduced, and meanwhile soil and underground water pollution is prevented.

The invention relates to the technical field of aquifer hydraulic conductivity, and discloses an aquifer hydraulic conductivity field description method based on machine learning independent pretreatment and fused post-treatment water head and tracing data analysis. Comprising the following steps: S1, collecting original detection data: obtaining original data of underground water hydraulic head data H and tracer experiment concentration data C, and taking the original data as a data set for model training; s2, constructing an HC-Net model, wherein the HC-Net model comprises an input layer, a full-connection layer, a merging layer, a convolution layer and an output layer, and the full-connection layer comprises a first full-connection layer, a second full-connection layer, a third full-connection layer, a fourth full-connection layer, a fifth full-connection layer and a sixth full-connection layer which are connected in sequence; the convolution layer comprises a convolution layer I, a convolution layer II to a convolution layer N which are connected in sequence, the full connection layer I is connected with the input layer, the merging layer is connected with the input layer, the full connection layer N and the convolution layer I, and the convolution layer N is connected with the output layer. According to the method, the performance and practicability of underground water pollution source identification are remarkably improved in the aspects of reducing the calculation cost, reducing the operation complexity, improving the prediction precision, processing complex geological conditions, improving the data utilization efficiency, reducing the prediction uncertainty and the like.

The utility model relates to the technical field of reinforcing structures, in particular to a reinforcing structure for the periphery of a tube well, and solves the technical problems that the reinforcing effect of the reinforcing structure for the periphery of the tube well is not lasting, so that a wellhead collapses; according to the technical scheme, the well periphery reinforcing structure of the tube well comprises a well mouth, a fixing assembly, a well lid, a lamplight module and a limiting structure; by arranging the wellhead reinforcing structure, not only can the stability of the wellhead of the tube well be enhanced, but also soil and sundries around the wellhead can be effectively prevented from falling into the well, so that blockage in the well and underground water pollution are avoided, in addition, the lamplight module is combined with the water level gauge, convenience is provided for workers, and the working efficiency is improved. The water level condition during water pumping can be easily observed by a user, the user can safely work at night, and the problem that a well mouth collapses due to the fact that the reinforcing effect of a reinforcing structure around a tube well is not lasting is solved.

The application discloses lattice copper and carbon vacancy co-modified zero-valent iron and a preparation method and application thereof in catalyzing dechlorination of carbon tetrachloride in water, and belongs to the technical field of functional catalysts and underground water pollution remediation. The application solves the technical problem of slow and incomplete dechlorination caused by inherent electron competition between carbon tetrachloride and water. Based on an in-situ sacrifice strategy of the iron oxide layer, the application utilizes consumption of the surface iron oxide layer, oxygen volatilization and carbon reduction in a high-temperature ball milling process to induce formation of carbon vacancies, promote lattice doping of copper in the core of the zero-valent iron, promote outward release of iron and inward migration of copper (lattice doping), and prepare the lattice copper and carbon vacancy co-modified zero-valent iron catalyst with a symbiotic structure. The catalyst can realize rapid and complete dechlorination of carbon tetrachloride, the product is a chlorine-free product (methane, carbon monoxide and formic acid), the product recovery rate is greater than 80%, and the dechlorination reaction can occur in a wide pH environment.

The invention relates to the field of underground water pollution tracing, in particular to an underground water pollution tracing method for an in-production enterprise. Firstly, obtained original concentration values of different pollution factors are standardized, after standardized concentration values of the different pollution factors are obtained, principal component analysis is carried out, a covariance matrix is calculated, characteristic decomposition is carried out, loads are obtained, and master control pollution factors are screened; then, based on the standardized concentration values of different pollution factors, adopting a pollution source candidate region preliminary screening algorithm to obtain pollution source candidate regions; and finally, on the basis of the pollution source candidate region, through a steady-state weighted convection-dispersion point source joint inversion algorithm, calculating the position coordinates of the final pollution source. The technical problems that dimension disasters are caused by multi-pollutant high-dimensional data, the calculation speed is low, the cost is high, the precision is low due to the fact that a pollution source preliminary positioning search space is too large, tracing weight distribution is unreasonable due to the fact that pollutant importance differences are neglected, and the underground water convection effect is neglected are solved.

The invention discloses an agricultural weeding device for intelligent agriculture, and relates to the technical field of intelligent agriculture. According to the agricultural weeding device for intelligent agriculture, the weeding device drives the sky screen and the optical focusing modules distributed on the sky screen in a matrix mode to move in a field through the rolling wheels on the periphery, and in the moving process, AI vision carried by the visual recognition modules at the two ends of the bottom of the sky screen is combined with infrared imaging, so that the positions of weeds are precisely recognized and locked; the photosensitive sensors at the four corners of the top of the sky screen are used for sensing the illumination angle and transmitting the illumination angle to the upper computer to calculate the angle and height of the convex lens corresponding to focusing, then the lead screw module is matched for correcting the inclination angle of the sky screen and adjusting the application height of the convex lens, a focusing point accurately falls on weeds, weed cells can be rapidly burnt, and physical weeding is achieved; a sunlight focusing physical weeding mode is adopted, pollution to soil, crops and underground water is avoided from the source, and the method conforms to the development direction of green agriculture and organic planting.

The invention discloses an intelligent control electric soil engineering barrier system and a construction and operation method thereof, and is characterized in that the intelligent control electric soil engineering barrier system comprises an electric soil engineering barrier device and an intelligent control device, and the electric soil engineering barrier device comprises a cathode row and an anode row which are vertically arranged and arranged in parallel; the cathode row comprises at least two cathode electrode plates and a plurality of cathode conductive core bodies which are wrapped in the cathode electrode plates and are distributed at equal intervals, and a gap between every two adjacent cathode electrode plates is filled with a permeable reactive barrier; the cathode row comprises at least two anode electrode plates and a plurality of anode conductive core bodies which are wrapped in the anode electrode plates and are distributed at equal intervals, and a gap between every two adjacent anode electrode plates is filled with anode backfill soil; the intelligent control device comprises a power supply module and a monitoring and control module, and has the advantages that active interception, in-situ remediation and intelligent regulation and control can be combined, and efficient, lasting and intelligent interception and remediation of underground water pollutants can be realized.

The invention discloses an in-situ monitoring and early warning system and method for loess aeration zone pollutant migration and transformation, and belongs to the technical field of environment monitoring and soil groundwater pollution prevention and control. The method comprises the following steps: constructing a loess aeration zone three-dimensional in-situ intelligent sensing network, and collecting multi-source original data based on the network; performing adaptive preprocessing on the multi-source original data to generate a standardized spatial-temporal feature data set; and constructing an improved deep learning space-time prediction model, and training the improved deep learning space-time prediction model based on the standardized space-time feature data set to realize the concentration change of the target pollutant in a specified time period in the future. According to the method, in-situ real-time monitoring of moisture, chemical and pollutants in a loess aeration zone is realized through a stereoscopic perception network, the space-time process of pollutant migration is accurately described by using an improved deep learning model, and the risk that the concentration of pollutants in an underground water interface exceeds the standard can be predicted tens of hours in advance; the fundamental conversion from passive monitoring to active intelligent early warning is realized, and reliable technical support is provided for pollution prevention and control of the loess area.

The utility model relates to the technical field of environment detection, and discloses an asphalt pavement testing device which comprises a test piece table, a spraying system and a water storage container, the test piece table is used for bearing an asphalt pavement test piece, the spraying system is used for spraying a solution to the asphalt pavement test piece, and the water storage container is used for collecting the solution sprayed to the asphalt pavement test piece; the spraying system comprises a flow adjusting system and a temperature adjusting system, the flow adjusting system is used for adjusting the flow of a spraying solution, and the temperature adjusting system is used for adjusting the temperature of the spraying solution; the test piece table comprises a lifting system which is used for controlling the position of the test piece table. A flow adjusting system is used for simulating the rainfall condition, a temperature adjusting system is used for simulating the environment temperature, spraying water is used for simulating the situation that a pavement is washed by water, a lifting system is used for partially or completely soaking an asphalt pavement test piece in water collected in a water storage container, and the situation that the pavement is soaked by water is simulated. The problem that underground water pollution caused by the asphalt pavement under various conditions cannot be accurately simulated is solved.

The invention relates to the technical field of soil and underground water pollutant prevention and control, in particular to an anti-seepage curtain construction groove section isolation system and a waterproof curtain construction method. The anti-seepage curtain construction groove section isolation system comprises a lifting machine and a formwork. The lifter comprises a base, an upper lifting device and a lower lifting device; the lifting device comprises a lifting mechanism mounted on the base; a first connecting mechanism is arranged on the lifting table; the template section comprises a plate body, and a second connecting mechanism matched with the first connecting mechanism is arranged on the back surface of the plate body; connectors connected with other template sections are arranged at the upper end and the lower end of the template body; the fixing device on the back face of the plate body comprises a plurality of anchor rods and an anchor rod driving mechanism, and the anchor rod driving mechanism drives the anchor rods to move outwards to be inserted into the groove wall. Through the arrangement, the formwork sections can be fixed to the wall of the groove, and then the formwork sections are arranged and recycled through the lifter, so that the construction progress of the waterproof curtain is greatly accelerated.

The invention discloses a typical karst area soil groundwater pollution anti-seepage transformation and online monitoring and early warning system and a use method thereof, and belongs to the field of karst area groundwater pollution prevention and control. According to the invention, a water vapor pressure monitoring system, an impermeable layer leakage monitoring system, an underground water quality monitoring system, a data platform and a power supply system are integrated, and indexes such as water vapor pressure, impermeable layer leakage and underground water pH, arsenic, lead and the like are monitored in real time by arranging an osmometer, a membrane upper / lower transmitting device, a sensor cable, water collection and distribution and detection equipment. Data are transmitted through a wireless network, leakage points are rapidly positioned in combination with related models, karst collapse and water quality pollution are early warned, and closed-loop management is formed through active intervention of a guide and drainage device. The three systems share a comprehensive house and a'one-center, three-platform and multi-terminal 'data platform, so that the problems of complicated geology, hidden pollution and data dispersion in the southwest karst area are solved, the prevention and control efficiency is improved, and scientific support and a complete scheme are provided.