12 results about "Ground water pollution" patented technology

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 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 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 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 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.