56 results about "Groundwater pollution" patented technology

This invention discloses a method for the simultaneous preparation of micronized and stabilized zero-valent iron (ZVFe) based on ball milling with terephthalic acid, belonging to the field of groundwater pollution remediation materials. The method includes the following steps: 1) incorporating terephthalic acid into micron-sized ZVFe powder and mechanically ball milling it; 2) cleaning the material with a solvent and drying it to obtain micronized and stabilized ZVFe reducing material. This invention simultaneously achieves the micronization and stabilization of ZVFe. This method enhances the reducing activity, internal surface hydrophobicity, and electron selectivity of ZVFe materials, improves their reducing performance and electron selectivity for pollutants such as halogenated hydrocarbons and heavy metals, effectively inhibits the oxidative deactivation of ZVFe materials in the aquatic environment and the hydrogen evolution side reaction with water, enabling ZVFe materials to maintain high reducing activity stably in water for a long period. This invention solves the technical problems of poor stability and difficult storage of micronized ZVFe materials in water, which is beneficial for reducing material replacement frequency and resource consumption.

The application discloses a kind of remediation devices for groundwater pollution treatment, it is related to the technical field of groundwater pollution treatment, it includes support pedestal, the upper surface of support pedestal is fixedly installed with support column, support column is equipped with the repair treatment pool for repairing groundwater, first water pump is equipped on repair treatment pool, the output of first water pump is connected with water outlet pipe, the water outlet of water outlet pipe extends to the inside of repair treatment pool, the input of first water pump is connected with water inlet pipe, the water inlet of water inlet pipe extends to groundwater and is connected with water collector;Water collector includes balance disc, sealing sleeve is equipped on the bottom center position of balance disc, connecting sleeve is equipped in sealing sleeve, the water inlet of water inlet pipe penetrates balance disc, and is connected with connecting sleeve and is communicated.This application has the effect of effectively gathering and guiding groundwater from different directions, thereby improving water collection efficiency.

The present application relates to the technical field of groundwater pollution remediation, and in particular to a distiller's grains-based slow-release material, a preparation method and application. The method uses distiller's grains material as a carbon source, chitosan and gelatin as carriers, and prepares the distiller's grains-based slow-release material through emulsification and cross-linking. The method uses natural biomass distiller's grains as a slow-release carbon source, chitosan and gelatin as carrier materials, and synthesizes a new slow-release material with environmental friendliness, low cost, adjustable morphology and slow-release performance through emulsification and cross-linking, to provide a carbon source and an electron donor required by functional microorganisms and enhance the activity of the functional microorganisms. The material has the advantages of low cost and good effect, can effectively implement in-situ remediation of groundwater pollution, and on the premise of realizing economic environmental protection, high efficiency, stability and no secondary pollution, can strengthen the in-situ functional microorganism remediation effect.

This invention discloses an acid-resistant sealing grouting material suitable for the treatment of acidic mine water inrush, its preparation method, and its application. It belongs to the technical field of mine groundwater pollution prevention and control and mine water hazard management. The acid-resistant sealing grouting material, by weight, comprises: 8-12 parts nano-hydroxyapatite, 1.5-3 parts sodium alginate, 5-8 parts porous adsorbent material, 100 parts cement, 25-35 parts water glass, 3-5 parts quicklime, 0.5-1.0 parts retarder, and 50-65 parts water. The acid-resistant sealing grouting material of this invention can immobilize iron and manganese, exhibits strong acid resistance and good pressure resistance, and is suitable for grouting materials used in sealing goaf areas and fissures in closed mines.

The application discloses a kind of factory area soil and groundwater pollution risk control method, comprising: obtaining current time and historical time under factory area dataset;Based on the factory area dataset, establish risk prediction model;Based on risk prediction model, the risk level distribution in factory area is divided and repaired;For high-risk area, in-situ chemical oxidation and permeation reaction wall are used for repair;For medium-risk area, plant repair or microbial repair is used;Low-risk area does not need to be repaired;The method of the present application can accurately predict the risk level distribution in the factory area according to the geological parameters of the factory area, the pollution monitoring data and the environmental dynamics, by constructing a risk prediction model that integrates the physical mechanism and the advantages of machine learning, the risk classification output is realized, the accuracy of risk assessment and the repair efficiency are improved, and the pertinence, economy and environmental benefits of pollution control are significantly improved.

The application provides a kind of simulation new pollutant intermittent input mode under the action of groundwater soluble N2O biological conversion layered sampling experimental device and continuous dynamic monitoring method, belongs to groundwater pollution control experimental technical field.Simulation new pollutant intermittent input mode under the action of groundwater soluble N2O biological conversion layered sampling experimental device mainly includes groundwater simulation experimental column, liquid inlet and mixing system, microelectrode monitoring system and layered sampling component;The experimental column is arranged in parallel, and is connected with liquid inlet and mixing system by peristaltic pump, realizes soluble N2O stable liquid inlet, and simulates different input modes by regulating and controlling new pollutant input concentration and frequency;The layered sampling component is used for pore water and microbial sample collection, and microelectrode is used for continuous monitoring of soluble N2O.The application can simulate different input modes of new pollutants in groundwater, realize layered sampling and continuous monitoring, and is suitable for studying the influence of new pollutants on the biological conversion process of soluble N2O in groundwater.

The application discloses a seawater desulfurization wastewater and groundwater environment influence linkage evaluation system for thermal power plants, which comprises a data acquisition module, a wastewater characteristic fingerprint database module, a groundwater background field module, a data fusion and characteristic matching module, a transmission simulation and evaluation module, a linkage early warning module and a visual output module.The application realizes the technical leap from independent monitoring to linkage evaluation of seawater desulfurization wastewater and groundwater environment, can automatically identify the migration trace of wastewater characteristic factors in groundwater through the data fusion and characteristic matching module, and can quantitatively evaluate the groundwater pollution contribution rate under different discharge scenarios in combination with a hydrodynamic-water quality coupling model.The feedback type early warning mechanism built in the system can dynamically adjust the monitoring frequency and evaluation threshold according to the real-time evaluation results, provides decision support for the wastewater treatment process optimization of the thermal power plant and the prevention and control of groundwater pollution, effectively reduces the environmental risk, and protects the safety of the groundwater resources in the coastal areas.

This utility model relates to the field of monitoring and data acquisition technology, and discloses a real-time monitoring and acquisition device for soil and groundwater pollution data. The device includes: an integrated intelligent communication box, an integrated acquisition device, a cable control box, a fixing plate, and a VOC probe. The integrated acquisition device is connected to the integrated intelligent communication box via a communication cable. A second connecting rope is fixedly mounted on the rotation and lifting control end of the cable control box, and the integrated acquisition device is fixedly connected to the second connecting rope. A first connecting rope is fixed between the VOC probe and the integrated acquisition device. The fixing plate is movably installed outside the second connecting rope. This utility model performs real-time monitoring and acquisition by placing the VOC probe and the integrated acquisition device into groundwater, and uses the integrated intelligent communication box to remotely acquire data in real time.

The application discloses a mine underground water pollution multi-element sensing and intelligent early warning method and system, and the method comprises the following steps: constructing a mine underground water pollution full-element sensing network, collecting pollution source, hydrogeology, underground water dynamic monitoring and environmental correlation data, and storing the standardized data into a unified database. The pollution source, monitoring well and hydrogeology zoning data vector layers are superimposed to generate a pollution risk distribution base containing the correlation of "pollution source-aquifer-monitoring point". A migration model coupling pollution dissolution and seepage is established to quantize the influence weight of elements on pollution diffusion. The pollution concentration time sequence is extracted, and the real-time data sliding window is combined to output the pollution diffusion path, concentration peak value and sensitive target time to arrival by using LSTM. Based on the risk base and the prediction result, the sensitive target grading is combined to form a research conclusion, and the key prevention and control areas and key nodes are determined. The application provides a scientific basis for mine pollution prevention and control.

A method for in-situ generation of FeOx / MnOx from groundwater based on PRB for the degradation of organohalogenated pollutants, relating to the fields of groundwater remediation and advanced oxidation technologies. The purpose of this invention is to address the problems of high energy consumption, low efficiency, and cumbersome processes in existing short-chain chlorinated paraffin groundwater remediation technologies. Method: A mixture of prepared simulated groundwater and an oxidant is pumped into a PRB simulation column to degrade short-chain chlorinated paraffins; the concentration of short-chain chlorinated paraffins in the PRB simulation column is monitored, and the degradation efficiency is maintained at 90-100%. This invention provides a method for in-situ generation of FeOx / MnOx from groundwater based on PRB for the degradation of organohalogenated pollutants.

This invention discloses a method and apparatus for enhancing microbial catalytic degradation of chlorinated hydrocarbons in groundwater using a pulsed electric field, relating to the field of groundwater pollution remediation technology. By introducing microbial stimulants, including nutrients and electron donors, into the polluted groundwater area to enhance the activity of functional microorganisms, and applying a pulsed electric field to create a dynamic potential gradient, the method promotes pollutant migration and microbial metabolism, achieving a stepwise degradation of chlorinated hydrocarbons from highly chlorinated intermediates to low-chlorinated intermediates and ultimately to non-toxic alkanes. Simultaneously, monitoring data such as pollutant concentration, environmental parameters, and microbial activity are collected, and the pulsed electric field parameters and stimulant addition strategy are dynamically adjusted based on this data to match external stimulation with dechlorination requirements. This promotes the continuous and efficient conversion of highly chlorinated hydrocarbons to low-chlorinated hydrocarbons and ultimately to non-toxic alkanes, improving electron utilization efficiency and system stability, shortening the remediation cycle, and reducing energy consumption and the risk of secondary pollution.

The application relates to the technical field of concentration monitoring, in particular to a groundwater pollution concentration real-time monitoring method and system. The method comprises the following steps: acquiring water level and concentration sequences; performing baseline decomposition on the two sequences to obtain a short-time fluctuation sequence, calculating a threshold value through a standard deviation, and obtaining a water level fluctuation point set and a concentration fluctuation point set; determining a correlation weight based on the time difference between the water level and the concentration, and matching based on the correlation weight; calculating a short-time fluctuation response coefficient based on the corresponding amplitude and the correlation weight after successful matching; determining a water dynamic correlation component estimation value by correcting the water level and the concentration based on the short-time fluctuation response coefficient; determining a drift increment based on the regression slope after baseline difference fitting and an analysis window, and updating a zero-point drift value; after temperature compensation of real-time concentration, using the updated zero-point drift value to perform addition and calibration to obtain concentration calibration data, and completing real-time monitoring. The application improves the reliability of monitoring data.

The application discloses a kind of groundwater interaction zone pollution monitoring natural attenuation repair prediction method, it is related to groundwater pollution simulation and prediction technical field, the application includes: based on real-time water level monitoring data to construct unsteady flow model, two-way exchange flux is calculated by transient hydraulic gradient inversion algorithm;Establish three-dimensional solute displacement model, two-way exchange flux is input as dynamic boundary condition, synchronously simulate pollutant dissolved phase concentration and adsorption phase concentration, generate historical adsorption load distribution;Full true scene and anaerobic control scene are set in model, and the positive contribution of oxygen supply and the negative contribution of groundwater back discharge are quantitatively calculated by comparing output results;Based on positive and negative contribution data, the natural attenuation repair trend of interaction zone pollution under the condition of current water level fluctuation is predicted.The application realizes the accurate capture of dynamic exchange process and the contribution quantitative separation, solves the problem that the existing technology ignores the hysteresis effect, and the historical adsorption release risk is underestimated.

This invention provides a method for identifying the preferential flow path of microplastics in groundwater, relating to the field of groundwater pollution monitoring. The method includes: marking microplastic particles with an organotantalum compound via bulk embedding; adding the microplastic particles to a groundwater simulation solution to prepare a tracer suspension; introducing the tracer suspension into a groundwater simulation system and conducting a preferential flow tracer experiment; setting sampling points at different spatial locations within the groundwater simulation system and collecting water samples from each sampling point; quantitatively analyzing the tracer signals of the water samples from each sampling point to obtain the organotantalum compound content at each sampling point; and determining the preferential flow path of the microplastics in the groundwater simulation system based on the organotantalum compound content at each sampling point. This method addresses the technical problem of the lack of existing technologies for systematically identifying the preferential flow path of microplastics in groundwater systems based on particle tracer signals.

The application discloses a groundwater pollution detection sampling device for hydrogeological survey, and relates to the technical field of hydrogeological survey.The device comprises a fixed bearing plate, a support protection frame, a groundwater sampling mechanism, a liquid discharge pipe disc mounting frame, a liquid booster pump, an impurity storage box, a liquid discharge pipe and a fixed balance frame.The groundwater sampling mechanism comprises a drilling assembly, a drilling control assembly, a connecting sampling assembly, a traveling balance assembly and a collecting sampling assembly.The drilling control assembly is used for realizing small-angle direction correction, so that the predetermined depth can be accurately reached;clean water is used to replace the traditional drilling fluid, so that the groundwater sample is prevented from being polluted;the connecting sampling assembly is used for forming a closed area at the sampling depth, and the groundwater is extracted in advance to reduce the concentration of external pollutants and ensure the purity of the sample;the track moving wheel and the fixed balance frame are combined, so that stable transfer between dispersed sampling points is realized, and the sampling efficiency and detection accuracy are improved.

The application discloses a groundwater pollution anomaly detection method based on deep reinforcement learning, and relates to the technical field of anomaly detection, comprising the following steps: constructing a shallow observation submatrix and a deep observation submatrix based on a monitoring well in a groundwater monitoring area, and constructing a vertical mixing matrix; performing vertical compression construction on the vertical mixing matrix to obtain a vertical compression feature matrix; obtaining a response matrix based on the deep observation submatrix, and adjusting an operation matrix corresponding to the deep observation submatrix based on reinforcement learning and the response matrix to obtain an optimized operation matrix; determining a reinforcement response average value based on the optimized operation matrix, and determining an anomaly type of all deep monitoring wells based on the reinforcement response average value to obtain a groundwater pollution anomaly type; and the application improves the accuracy of anomaly identification.

The utility model relates to ecology experimental device technical field discloses integrated experimental device of simulating groundwater pollution and soil percolate collection function, include: outer bucket, for the transparent barrel body structure of top open, and bottom is provided with the discharge gate with valve, inner bucket is the transparent barrel body structure of top open, fills in soil in the inside, and plants have green plants on the soil, filter drum and filter structure, the filter structure sets up in the filter drum after, still is equipped with the water hole that forms on the filter drum lateral wall under. Compared with prior art, the advantage lies in: suitable for plant - soil - pollutant multiple interaction research, has the advantages of structure integration, function variety, transparent visible, convenient operation, integrates groundwater environment simulation, plant cultivation, soil modification and percolate collection and so on multi -functional, is suitable for being used in the pollution migration under the controlled experimental condition of indoor, soil - groundwater interface interaction process, dynamic correlation, environmental response and ecological restoration research.

This invention relates to the field of pollution monitoring technology, specifically to a multivariate dynamic monitoring platform for groundwater in mining areas. This platform includes a data acquisition module for acquiring sample environmental hydrological disturbance data sequences and sample hydrological and water quality data sequences; an evaluation value acquisition module for acquiring complex and sensitive evaluation values ​​of environmental hydrological disturbance responses corresponding to each hydrological and water quality type; and a gain compensation and decision tree model construction module for compensating the traditional information gain of the corresponding hydrological and water quality type based on the complex and sensitive evaluation values ​​of environmental hydrological disturbance responses, obtaining a target information gain, and using the target information gain as a node splitting criterion to conduct supervised learning training on the sample hydrological and water quality data combination to generate a binary classification decision tree model for groundwater pollution identification and monitoring in mining areas. Furthermore, this invention can improve the accuracy of the decision tree model for pollution identification and monitoring.

This invention discloses a method for reinforcing soft soil foundation roads in open-pit mines prone to deformation and frost heave. The method employs directional drilling to install drainage pipes, followed by a shallow layer of metal mesh and geotextile on the road surface. This eliminates the need for excavation and damage to the original road structure, significantly reducing interference with open-pit mine transportation operations, shortening the construction period, and enabling simultaneous road reinforcement and transportation. The inclined metal drainage pipes allow for gravity drainage of groundwater, fundamentally addressing the core issue of water-bearing softening in soft soil foundation roads. An electric field drives the reaction of ions with soil particles, forming a high-strength consolidated body, effectively preventing the recurrence of frost heave and ensuring long-term stable reinforcement. The three-layer composite structure of geotextile, metal mesh, and grouting pipes provides both seepage prevention and drainage, while also distributing vehicle loads, reducing road wear, and extending road lifespan. The electrochemical reaction materials do not release toxic or harmful substances, preventing soil and groundwater pollution and meeting the requirements of green mining development.

The application provides a heavy metal contaminated groundwater remediation system and a remediation method, and relates to the technical field of groundwater pollution remediation. The system comprises a horizontal pipe, the lower surface of the horizontal pipe is fixedly connected with a plurality of conical pressure cylinders, the inner wall of each conical pressure cylinder is provided with an annular cavity, the opposite side of the inner wall of each annular cavity is provided with a plurality of through holes, and the left and right sides of the upper side of the inner wall of each annular cavity are provided with adjusting devices; the adjusting device comprises a waterproof motor fixedly connected to one side of the inner wall of the annular cavity. The system has high performance, high remediation efficiency, ensures the remediation effect of groundwater, improves the use effect and use quality of the remediation equipment, avoids increasing the cost of the secondary remediation process of the equipment, avoids the problem that the soil may affect the pressing device during the groundwater extraction process in the traditional remediation equipment, improves the groundwater extraction effect of the equipment, and improves the remediation efficiency of the overall equipment.

This invention relates to a method for densifying sampling points in surveys to determine groundwater pollution boundaries. The method includes: performing dynamic global inflection point and inflection direction analysis on each horizontal sampling point sequence to obtain a first candidate sampling point set and a second candidate sampling point set, which contain key sampling points; obtaining three unprocessed sampling points that meet the densification conditions based on the key sampling points and densifying the sampling points; determining whether the monitoring data of all sampling points in the sampling point set fall within the target boundary numerical range, and if so, ending the process; otherwise, repeating the iterative process. This invention improves the accuracy of the boundary range by using a two-way squeeze and directed optimization approach based on the target boundary numerical range to optimize the monitoring data. Simultaneously, while ensuring the effectiveness of the densified sampling points, it reduces computational overhead, achieving efficient delineation of the spatial distribution and range of pollution plumes with as few sampling points as possible.

The present application belongs to the technical field of groundwater pollution remediation, and particularly relates to an in-situ biological stimulation remediation method for treating Cr(VI) and organic compound contaminated groundwater. The method is to use sugarcane syrup as a remediation reagent to stimulate the growth and domestication of indigenous microorganisms, so as to effectively remove the compound pollution in the groundwater. The sugarcane syrup, a by-product of sugar industry, has the best effect on removing the compound pollution of Cr(VI) and nitrobenzene (the removal rate can reach 99%). The present application also determines the removal conditions of the compound pollution of Cr(VI) and nitrobenzene: pH is greater than or equal to 7, temperature is greater than or equal to 15 DEG C, Cr(VI) is less than or equal to 35 mg / L, and the concentration of nitrobenzene is less than 75 mg / L. Under the conditions, the removal rate of Cr(VI) can reach 99%, and the removal rate of nitrobenzene can reach 95%. The present application provides an innovative solution for simultaneously remedying the groundwater contaminated by Cr(VI) and organic compounds.

The application discloses a groundwater pollution plume source tracing identification method and system based on three-dimensional dynamic monitoring, relates to the technical field of data processing, and comprises the following steps: constructing a three-dimensional dynamic model of a groundwater pollution plume by acquiring groundwater monitoring data and stratum monitoring data, and predicting the migration of the pollution plume to obtain a predicted pollution plume state and an initial pollution source inversion position; identifying an underground influence type by performing difference analysis on a real-time pollution plume state and the predicted pollution plume state; dynamically adjusting underground monitoring parameters based on the underground influence type, re-updating the three-dimensional dynamic model of the groundwater pollution plume, and realizing dynamic correction of the migration process of the groundwater pollution; and obtaining a new pollution source area by combining historical pollution and new pollution analysis and reverse tracking of the pollution source. The application can reduce the influence of changes in a groundwater flow field and changes in a groundwater medium structure on the results of pollution source tracing, and improve the accuracy of pollution source tracing in a complex underground environment.

This invention relates to the field of groundwater pollution detection technology, specifically providing an in-situ detection device for nitrate pollution in groundwater. The mounting body has a clamping portion for mounting on one side of the wellhead; the clamping assembly includes a first clamping member driven by a first driving member, which is disposed opposite to the clamping portion and can move under the drive of the first driving member to clamp or release the edge of the wellhead; the deployment assembly includes a winding mechanism and a locking structure driven by the first driving member, the locking structure unlocking or locking the winding mechanism under the drive of the first driving member; the detection unit is connected to the winding mechanism via a flexible member, and when the winding mechanism is unlocked, the flexible member is allowed to release, allowing the detection unit to fall under its own weight. This invention uses a single driving member to simultaneously drive the clamping assembly to complete both wellhead fixing and locking structure unlocking of the winding mechanism, achieving a continuous action between device fixing and detection unit deployment, significantly improving on-site operation efficiency and reducing operational complexity.

The present application relates to the technical field of water quality monitoring, and discloses a suspended matter single-particle mass spectrometry coupled machine learning groundwater pollution tracing method and device, electronic equipment and storage medium, wherein the groundwater pollution tracing method comprises the following steps: collecting source samples of potential pollution sources and receptor samples of contaminated areas, obtaining particle mass spectrum information by using single-particle mass spectrometry detection technology, constructing a pollution source mass spectrum fingerprint library containing a source attribution subset, each subset being determined by a general mass spectrum category and a potential pollution source, and storing average mass spectrum characteristics; determining the composition of the pollution source according to the matching of the mass spectrum information of the receptor sample particles and the fingerprint library, and verifying and correcting in combination with hydrogeological conditions. The method can accurately identify the source differences of particulate pollutants by characterizing the chemical characteristics of suspended particulate matter through high-resolution mass spectrometry, effectively solves the limitations that traditional methods cannot distinguish when multiple pollution sources coexist, and improves the accuracy of groundwater pollution tracing.

This invention relates to the field of machine learning technology, specifically to an artificial intelligence-based method and system for identifying groundwater pollution sources. The method includes the following steps: acquiring concentration data and hydrological parameters to calculate spatial connectivity vectors; performing differential processing to generate node representations; filtering concentration sequences based on retardation factors to generate time segments and performing reverse ordering; fusing transfer representations and reverse-order segments to generate spatiotemporal aggregated content; and generating aggregated coordinates based on the spatiotemporal aggregated content for distance filtering to obtain results. In this invention, by acquiring three-dimensional coordinates and multi-source hydrological data, graph structure construction and matrix differential processing are performed to deeply analyze the intrinsic correlation of the hydrodynamic network. Sequences are filtered by retardation factors and integrated in reverse order to generate time segments. Aggregated content of spatiotemporal decay trajectories is constructed by fusing diffusion features. Reverse mapping is performed according to the dissipation law to locate the source, avoiding local misinterpretations caused by numerical fitting and effectively improving the accuracy and efficiency of tracing the source of solute leakage in the groundwater layer.

The present application belongs to the technical field of heavy metal contaminated soil environmental risk assessment, and particularly relates to an environmental risk assessment method for heavy metal contaminated soil remediation and building material recycling. The present application adopts simulated rainwater to leach the risk assessment system, calculates the diffusion coefficient of the remediated heavy metal in soil, and thereby constructs a one-dimensional heavy metal diffusion model. Then, according to the dilution and attenuation coefficient of the heavy metal in groundwater, the concentration level of the heavy metal in the building material released into the groundwater during the process of remediated soil recycling into building material is calculated. Finally, the potential drinking groundwater pollution risk possibly caused by the remediated soil recycling into the first type of land (residential land) is quantitatively evaluated. The present application has the advantages of simple method, clear process, short cycle, high efficiency, scientific rationality, and can accurately predict and evaluate the pollution risk of the local groundwater caused by the building material recycling of the remediated contaminated soil, which is beneficial to the protection of the groundwater environment, and the method provided by the present application has wide applicability.