114 results about "Ground water quality" patented technology

The invention discloses an intelligent underground water quality supervision method and system. The method comprises heterogeneous sensing acquisition, water quality benchmark modeling, sewage traceability enhancement, water quality prediction and early warning and underground water quality supervision. The invention relates to the technical field of water quality supervision, in particular to an intelligent underground water quality supervision method and system, and adopts an underground water quality comprehensive supervision method combining water quality benchmark modeling, pollution traceability enhancement and dynamic threshold water quality prediction and early warning. The perception capability, the identification capability and the response capability of the underground water pollution event are effectively improved, and the supervision conversion from passive response to active pre-judgment is realized; carrying out water quality benchmark modeling by adopting an improved space-time diagram convolutional network method combined with a space-time dynamic baseline algorithm; pollution traceability enhancement is carried out by adopting an improved adversarial generative network method of virtual and real traceability modeling.

The invention discloses a river pollution tracing method and system based on underground water quality pollution monitoring, and relates to the technical field of river pollution tracing. According to the river pollution tracing method based on underground water quality pollution monitoring, the real-time concentration value of each pollutant in underground water is obtained in real time and analyzed to obtain the underground water pollution real-time evaluation index; according to the method, a plurality of abnormal measurement points with abnormal concentration in a set area are identified, and the traceability position coordinate of each pollutant with abnormal concentration in underground water in a river is analyzed, so that the real-time evaluation index of underground water pollution can be continuously calculated by acquiring the pollutant concentration data of each measurement point in real time; and whether the pollutant concentration exceeds the preset range or not is judged in time, so that the defects of hysteresis and untimely data updating of traditional water quality monitoring are overcome, dynamic monitoring of the pollutant concentration can be realized, and quick response when the pollutant is abnormally increased is ensured.

The invention relates to the technical field of remote monitoring, in particular to a remote monitoring method and system for intelligent water purification equipment. The system comprises a sensing execution unit, a data routing unit, an intelligent central unit and an interactive service unit. The intelligent central unit is used for comparing underground water quality data collected in real time with corresponding month threshold values over the years, water quality fluctuation caused by natural changes such as seasonal replacement can be accurately distinguished, the water quality data interpretation accuracy is improved, when the water quality data deviates from a normal range and influences of natural laws are eliminated, the system introduces real-time weather data, and the water quality data interpretation accuracy is improved. And the analysis module considers the effect of weather on water quality by means of a dynamic structure equation model and resets a threshold value. The intelligent self-adaptive mechanism can effectively distinguish water quality abnormity caused by non-natural laws, for example, normal fluctuation of water quality after rainstorm is recognized, accuracy and intelligence of water quality monitoring are enhanced through multiple times of accurate judgment, and abnormity can be quickly recognized and early warned.

The invention discloses a water quality detection system and detection method for groundwater resource assessment, and relates to the technical field of environmental monitoring, the method comprises the following steps: obtaining multi-source data of groundwater in a target area through a sensor network, and combining environmental parameters to carry out data fusion to generate a comprehensive result; performing water quality scoring based on the fused data, constructing a water quality spatial distribution diagram, and predicting a water quality change trend; and determining a pollution source according to trend data tracing, formulating a pollution control scheme in combination with multi-source data, and generating a treatment suggestion. The technical problem of insufficient water quality detection precision in existing groundwater resource evaluation is solved, and the technical effect of performing high-precision detection and comprehensive evaluation on groundwater quality data is achieved.

The invention relates to the technical field of water quality monitoring, in particular to a distributed raw water quality real-time monitoring system which comprises an underground water sampling module, a sample analysis module, a water quality feedback terminal and a data storage terminal. And finally, the water body quality corresponding to the underground water quality in the target raw water body area is fed back to a system interface for interface display, the water quality evaluation can guarantee the safety and sustainability of the water resource, and the water quality evaluation efficiency is improved. Health risks and economic losses caused by water quality pollution are avoided, and underground water quality evaluation has direct influence on public health. Various health problems may be caused by drinking or using the water for a long time, the drinking water safety of residents can be guaranteed, health risks can be found and treated in time, and therefore the health of the residents is protected.

The invention provides an intelligent river water quality monitoring system based on a remote sensing technology, belongs to the technical field of river monitoring, and solves the technical problem that the current intelligent river water quality monitoring cannot realize full-space-time river water quality monitoring from large scale to microcosmic scale and point-surface combination. A river water quality intelligent monitoring system based on a remote sensing technology comprises a satellite remote sensing module, an unmanned aerial vehicle remote sensing module, a high-altitude holder module and a ground water quality detection module. According to the invention, through the arrangement of the satellite remote sensing module, the unmanned aerial vehicle remote sensing module, the high-altitude holder module and the ground water quality detection module, the air-space-tower-ground multi-source cooperative monitoring of the river water quality is realized, and under the action of the fixed-ship flow measurement assembly of the unmanned ship, moving and fixed-point monitoring can be carried out in the river; and meanwhile, satellite remote sensing and an unmanned aerial vehicle are utilized, and agricultural non-point source pollution satellite remote sensing and ground automatic monitoring advanced mature technologies are integrated, so that water quality monitoring is changed from large-scale monitoring to microscopic detection.

The invention discloses a groundwater quality monitoring method and system based on artificial intelligence. The method comprises the steps of data acquisition, data preprocessing, groundwater quality prediction, hyper-parameter optimization and dynamic groundwater quality monitoring. The invention belongs to the technical field of water quality information processing, and particularly relates to an underground water quality monitoring method and system based on artificial intelligence. According to the scheme, a method for collecting multi-dimensional water quality data and dynamically adjusting data acquisition frequency is creatively provided, and the comprehensiveness of underground water quality monitoring is effectively improved; a multi-dimensional data processing sub-model, a feature weighted fusion method based on an attention mechanism and a water quality prediction activation function are provided, and the accuracy and stability of an underground water quality prediction result are improved; an algorithm for obtaining the optimal parameters of the model is improved by adopting a uniform distribution sampling initialization method, a convergence control weight and a linear extension spiral strategy, an optimal parameter combination is obtained, the accuracy of a model output result is improved, and therefore the groundwater quality prediction result is more accurate.

The invention relates to the technical field of new-generation information, and discloses an underground water quality monitoring equipment control method, system, equipment and medium, the method comprises the following steps: connecting sampling equipment to obtain sampling equipment information; acquiring an underground water sampling task, and determining sampling task monitoring parameters; task interval time span analysis is carried out, and an identification control relation is established; and performing matching analysis according to the running state, the sampling data and the sampling task monitoring parameters, performing control identification, and positioning the equipment layout position to perform equipment control operation. The technical problems that in the prior art, underground water quality monitoring equipment is high in continuous operation failure rate, large in energy consumption and incapable of achieving centralized management are solved, and the technical effects that equipment standby, sleep awakening, remote control and multi-equipment networking management are achieved, equipment operation stability is improved, energy consumption is reduced, and management efficiency is improved are achieved.

The invention discloses an evaluation and prediction method for groundwater quality evolution based on multiple water quality indexes, and relates to the technical field of water quality evolution evaluation, and the method comprises the following steps: collecting evaluation index original data for groundwater quality evaluation, and preprocessing the collected original data, the evaluation indexes comprise a water quality monitoring index, a geological hydrological index and a pollution source index. According to the method for evaluating and predicting the underground water quality evolution based on the multiple water quality indexes, the actual condition and the evolution trend of the underground water quality are comprehensively reflected by comprehensively considering the data of multiple aspects of the water quality monitoring indexes, the geological and hydrological indexes and the pollution source indexes; according to the method, the change rule and influence factors of the underground water quality can be more accurately revealed, so that the comprehensiveness and accuracy of evaluation are improved, the water quality condition can be evaluated in a customized manner according to specific conditions and protection targets of different regions, and then control and treatment measures are implemented.

The invention relates to the technical field of underground water quality monitoring, in particular to a drilling underground water quality real-time monitoring device which comprises a top sealing cylinder mounted at the top of a well, a plurality of automatic winches for hoisting blocking mechanisms, a plurality of blocking mechanisms for blocking the space in the well to form different interlayers and a sampling mechanism for sampling, the inner side wall of the top sealing cylinder is fixedly sleeved with a mounting plate. According to the device, the top sealing cylinder is arranged at the well mouth, then the multiple blocking mechanisms are started to block all positions of the well, the space between every two adjacent blocking mechanisms forms an interlayer, then the sampling mechanism is used for extracting water samples from water flow all positions of all the interlayers, then the water samples are detected, and therefore the water quality result is obtained; therefore, different interlayers can be arranged according to the depth change of the aquifer to align the aquifer with the changed depth, the sampling mechanism is used for sampling water flow at all positions of each interlayer, the occupied space is small, no isolating layer needs to be built, and the construction difficulty is reduced.

The invention relates to the technical field of water quality monitoring and analysis, in particular to an underground water quality factor dynamic migration analysis method and system. The method comprises the following steps: acquiring historical monitoring data of underground water, including acquiring water quality factor concentration, water level, water temperature, permeability and porosity; obtaining the concentration of the fed electrolyte, and calculating the underground water flow velocity according to the electrolyte diffusion velocity; constructing a groundwater quality factor migration model based on a convection-dispersion equation according to the groundwater flow velocity, and introducing a neural network and a generative adversarial network to carry out model parameter optimization on the groundwater quality factor migration model; the optimized groundwater quality factor migration model is subjected to model solution, the calibrated groundwater quality factor migration model is used for water quality factor migration trajectory analysis, the water quality factor concentration value of each grid point at different moments can be obtained in real time, and analysis of groundwater quality factor dynamic migration is achieved.

The invention relates to an inshore water quality day-by-day kilometer-level inversion method, system, device and medium, and belongs to the technical field of water quality monitoring, the method comprises the following steps: obtaining remote sensing image data, meteorological reanalysis data and ground water quality site measured data, preprocessing, carrying out space-time matching fusion, using the fusion data as a sample to carry out model training, and obtaining a model training model; obtaining a space model; a spatial model offshore water quality spatial distribution diagram; and constructing a CNN-BiLSTM mixed time sequence model, and training the CNN-BiLSTM mixed time sequence model by taking historical water quality data of a ground water quality station and the offshore water quality spatial distribution map as samples to obtain a prediction model. The method is suitable for red tide early warning, pollution tracing and marine ecological management, breaks through monthly monitoring limitation, and realizes day-by-day kilometer-level water quality dynamic tracking; remote sensing large-range coverage and site high-precision data are fused, and the problem of inshore environment heterogeneity is solved; the time-space double-model cascade architecture significantly improves the generalization ability under complex hydrological conditions.

The invention relates to an underground water quality on-line automatic monitoring station which comprises a monitoring station main body, a multi-parameter sensor, a pump and a solar power supply system, the multi-parameter sensor and the pump are arranged underground, a plurality of layers of partition plates are arranged in the monitoring station main body, a plurality of mounting layers are formed from top to bottom, and a control box is mounted at the top of the uppermost partition plate; a monitoring instrument is installed on the monitoring station body, a voltage stabilizer and a UPS are sequentially arranged at the position of a partition plate below the monitoring instrument and electrically connected with a battery pack to form a standby power supply system, a reagent container is arranged at the position adjacent to the battery pack, a measuring pool is arranged at the bottom in the monitoring station body, and a liquid outlet of the measuring pool is communicated with a waste liquid and waste water collecting device. According to the invention, through reasonable partition arrangement of multiple layers of partition plates, real-time monitoring and data uploading of underground water are realized, dual-power-supply guarantee is provided, operation is stable, waste liquid is collected, treated and detected in a centralized manner, and secondary pollution is effectively avoided.

The utility model discloses a drinking water source water quality monitoring device, and particularly relates to the technical field of water quality monitoring, the drinking water source water quality monitoring device comprises a base assembly, the top of the front surface of the base assembly is provided with a water taking monitoring assembly, the base assembly comprises a first flat plate, the top surface of the first flat plate is provided with a groove, and the groove is provided with a water outlet. According to the drinking water source area water quality monitoring device, by arranging the first transmission screw and the second transmission screw, the position of the water taking monitoring assembly can be conveniently moved, and when a water source at an offshore position needs to be detected, the water taking monitoring assembly can be conveniently moved; the water taking monitoring assembly can be driven to achieve two-stage incremental movement only through the first transmission screw and the second transmission screw, then the water quality of the offshore position can be detected, practicability is higher, meanwhile, when the device is installed and operated, a user does not need to stand on the shore of a water source for operation, and safety is higher.

The invention relates to the technical field of groundwater quality monitoring, in particular to an improved regional groundwater quality monitoring network design method and system, and the method comprises the following steps: obtaining a groundwater sample of a region as a groundwater quality test sample; performing test analysis on the groundwater quality based on the test sample to obtain groundwater quality information of the region; constructing an underground water quality monitoring network evaluation model of the region according to the underground water quality information; analyzing the groundwater quality monitoring network according to the groundwater quality monitoring network evaluation model to obtain a model evaluation result; and performing optimization design on the underground water quality monitoring network of the region by using the model evaluation result. The underground water quality information is obtained through test analysis of the underground water sample, then the underground water quality monitoring network evaluation model is constructed to optimize the underground water quality monitoring network, the monitoring efficiency of the underground water quality is improved, and scientific management of the underground water is achieved.

The invention discloses an underground water quality grading prediction method based on multi-source data fusion and machine learning, and the method comprises the steps: S1, building a sample set: collecting underground water samples of all sampling points in a target region in the same time period, carrying out the analysis to obtain a water quality index, and forming an attribute vector of the underground water sample with a non-water quality index; determining an EWQI value of the groundwater sample, performing water quality grade division according to the EWQI value, and taking the water quality grade as a label of the sample; s2, dividing the sample set into a training set and a verification set; s3, training a prediction model based on machine learning by using the training set, and preventing overfitting in the training process by using the verification set to obtain a trained prediction model; and S4, predicting a to-be-predicted groundwater sample by using the trained prediction model to obtain a predicted water quality grade. According to the method, the water quality index and the non-water quality index are combined, the prediction model is established based on machine learning, and the groundwater quality grade can be rapidly and accurately predicted.

The invention relates to the technical field of geological survey, and discloses a groundwater environment monitoring and early warning method, which comprises the following steps of: coupling a real-time early warning module and a prediction early warning module, and constructing a groundwater environment monitoring and early warning model; according to the national standard, the underground water quality current situation and the real-time and prediction early warning result, an early warning level is delimited, and different colors are given to represent color block warning levels; according to a simulation result, judging an early warning line of the underground water specific pollutants, and if a relatively high early warning level is displayed, carrying out pollutant inversion; possible pollutants speculated by the pollutant inversion module are identified; an early warning decision is made for possible pollutant types and enterprise types; and after the sudden pollution event is effectively disposed, early warning feedback is timely carried out. According to the groundwater environment monitoring and early warning method, the groundwater quality real-time early warning grade and the distribution range of pollutants in the groundwater in different time periods in the future are determined, and a scientific basis is provided for reasonably developing and utilizing groundwater resources.

The invention relates to the technical field of wastewater monitoring, in particular to a medical wastewater intelligent monitoring system based on big data, comprising an information acquisition module used for acquiring wastewater information, groundwater information and groundwater use type; the wastewater monitoring module is used for analyzing the abnormality of the water quality of the wastewater and adjusting the analysis process of the abnormality of the water quality of the wastewater according to the obtained underground water use type; the load analysis module is used for analyzing the abnormality of the wastewater discharge load; the early warning module is used for carrying out waste water quality abnormity early warning on a user; the groundwater monitoring module is used for analyzing the abnormality of the water quality of groundwater; and the early warning updating module is used for updating the early warning process of the waste water quality abnormity in the next management period according to the early warning result of the waste water quality abnormity in the management period and the analysis result of the underground water quality abnormity, and optimizing the updating process. The monitoring efficiency of the medical wastewater is improved.

The invention provides an underground water quality multi-index monitoring system and an evaluation method under the influence of mine water reinjection, the system takes a reinjection well as a circle center and a borehole diameter influence range of the reinjection well as a radius, a plurality of observation wells are configured in the borehole diameter influence range, and multi-index water quality sensors are arranged in the observation wells; the multi-index water quality sensor regularly transmits underground water quality indexes to the control center through the data transmitter; the control center comprises a groundwater quality comprehensive evaluation model, the comprehensive score of each groundwater sample is calculated through the groundwater quality comprehensive evaluation model, and the comprehensive water quality of groundwater under the influence of mine water reinjection is quantitatively evaluated. According to the underground water multi-index monitoring system provided by the invention, the water quality detection sensor is configured aiming at indexes of underground water change possibly caused by reinjection of highly-mineralized mine water, so that multi-index simultaneous online real-time monitoring is realized. The monitoring system can obtain the underground water quality index in the hypersalinity mine water reinjection range in real time, and provides powerful support for underground water quality evaluation.

The invention provides a water quality dynamic monitoring method and system based on underground water level, and relates to the technical field of water quality dynamic monitoring, the method comprises the following steps: calculating a correction coefficient based on historical data, seasonal change, rainfall and geological activity; adjusting the annual average change rate through the correction coefficient to obtain a final underground water level change trend; according to the final groundwater level change trend, setting a water quality abnormity monitoring point in the region where the groundwater level is abnormally changed, so as to obtain corresponding abnormal water quality data; according to the abnormal water quality data, regularly collecting water samples in the abnormal water quality data, detecting various indexes of the water samples, including chloride content, conductivity and total dissolved solids, and analyzing the change condition of the water quality so as to evaluate the water quality condition of the underground water. According to the method, the robustness to the data quality problem is improved, so that the actual condition of the underground water quality is reflected more accurately.

The present invention provides a method and system for dynamic water quality monitoring based on groundwater level, which relates to the technical field of dynamic water quality monitoring. The method includes: calculating a correction coefficient based on historical data, seasonal variations, rainfall, and geological activities; adjusting the annual average change rate by the correction coefficient to obtain the final groundwater level change trend; setting water quality anomaly monitoring points in areas where the groundwater level has abnormal changes according to the final groundwater level change trend to obtain corresponding abnormal water quality data; regularly collecting water samples from the abnormal water quality data according to the abnormal water quality data, detecting various indicators of the water samples, including chloride content, conductivity, and total dissolved solids, and analyzing the changes in water quality to evaluate the water quality status of groundwater. The present invention improves the robustness to data quality problems, thereby more accurately reflecting the actual situation of groundwater quality.

The invention relates to the technical field of underground water simulation, and provides a shallow underground water quality change simulation device in a multi-supply mode, comprising a soil column for storing soil; the high-pressure oxygen-free bottle is used for conveying water to the soil column; one end of the first matrix pipe is communicated with the high-pressure oxygen-free bottle; the soil column is used for conveying water to the low-pressure oxygen-free bottle; and the other end of the second matrix pipe is communicated with the low-pressure oxygen-free bottle. The simulation device can comprehensively simulate lateral replenishment and more truly restore the groundwater replenishment process in the natural environment, through cooperation of the soil columns and the matrix pipes, the water replenishment path and flow can be controlled, observation by researchers is facilitated, and deep understanding of the dynamic change rule of groundwater is facilitated. Wherein the high-pressure oxygen-free bottle and the low-pressure oxygen-free bottle can completely simulate an oxygen-free environment in a real environment. By means of the technical scheme, the problem that in the prior art, the reconstruction precision of the underground reducing environment of an underground water simulation device is insufficient is solved.

The invention provides a liquid crystal pollutant underground water detection system based on fluorescence tracing, and relates to the technical field of underground water environment monitoring and pollution prevention and control. According to the system, three types of core structures BAs, CBAs and FBAs of the LCMs serve as targets, a specific fluorescent probe is designed, a water sample is accurately obtained through an underground water in-situ sampling module, and after fluorescence signal amplification and anti-interference processing are conducted, LCMs type recognition and concentration quantification are achieved in combination with a machine learning algorithm. The core innovation lies in the structural adaptive design of the targeted fluorescent probe, the underground water quality anti-interference technology, engineering in-situ detection integration and multi-component synchronous analysis. Practice verification shows that the detection limit of the system to BAs, CBAs and FBAs LCMs is as low as 0.01-0.05 ng / L, the response time is less than or equal to 30 min, the turbidity resistance and ion interference resistance are high, the system is adaptive to engineering scenes such as in-well monitoring and leachate tracing, rapid screening and dynamic tracking of underground water LCMs pollution can be realized, and engineering technical support is provided for underground water pollution prevention, control and restoration.

The invention discloses a wetland groundwater quality environment monitoring method and system, and relates to an image processing and data processing technology, and the method comprises the steps: integrating an imaging probe to an induction buoy, and carrying out the vertical arrangement of the induction buoy in a groundwater monitoring well; acquiring effective water level data of each underground water monitoring well based on the sensing buoy chain at any monitoring moment; image acquisition is carried out by utilizing the triggered imaging probes in the induction buoy chain; according to the image data acquired at each water level, extracting morphological characteristics of the particulate matters retained in the image data at different water levels; identifying particulate matter types under different water levels according to the extracted morphological features; and based on the obtained effective water level data, establishing a corresponding longitudinal coordinate so as to establish a current water level-water quality correlation map according to the identified particulate matters. According to the invention, the water quality of the wetland underground water can be detected in a more intuitive manner, so that the monitoring efficiency of the underground water is improved.

The invention relates to the technical field of underground water quality analysis, in particular to a quantitative sampling device for underground water quality analys.The quantitative sampling device comprises a water diversion mechanism, a standing detection mechanism is arranged on the side face of the water diversion mechanism, and the standing detection mechanism communicates with the interior of the water diversion mechanism; a separable pre-embedded water diversion mechanism is arranged at the bottom of the water diversion mechanism, the pre-embedded water diversion mechanism communicates with the interior of the water diversion mechanism, and quantitative extraction equipment is arranged on the front face of the water diversion mechanism. During use, the drainage pipe and the sampling pipe are arranged on the two symmetrical faces of the flow dividing bin respectively and used for being connected with an external pump and a standing detection mechanism, underground water can be guided into the flow dividing bin to make contact with a probe of the standing detection mechanism, and real-time detection analysis is achieved; the quantitative water taking pump quantitatively pumps deep underground water through the spring pipe for detection and analysis, and the effect that standing detection and quantitative sampling detection can be carried out at the same time is achieved.

The present invention discloses a multifunctional device for groundwater quality detection and water level measurement and a method for use thereof. One end of a probe rod is connected to the top of the connecting chamber. The probe rod is hollow and has the hollow conduit disposed therein. The upper end of the hollow conduit is connected to the air extraction device, and the lower end of the hollow conduit passes through the connecting chamber to the top of the water quality detection chamber. The bottom of the connecting chamber is openably connected to the top of the water quality detection chamber. An integrated detachable test tube bundle is disposed inside the water quality detection chamber. The lower portion of the water quality detection chamber is connected to the water intake chamber, and an integrated detachable water intake tube bundle is disposed inside the water intake chamber. A groundwater level measuring device is installed at the lower end of the water intake chamber, and an alarm device is disposed inside the water level measuring device. Advantages: The device of the present invention can simply and conveniently detect groundwater quality, measure groundwater level, and obtain groundwater samples outdoors in situ. It is simple to operate, low in cost, and widely applicable.

The present invention relates to the technical field of contaminated groundwater treatment, and in particular to a self-adaptive intelligent dosing purification control system and method for contaminated groundwater. By acquiring groundwater quality parameters in real time, the pumping and dosing rates are intelligently adjusted according to monitoring data through a reinforcement learning model, so as to achieve real-time response to water quality changes and avoid unstable treatment effects and secondary pollution. The system uses a preset drug matching database to quickly identify excessive water quality parameters and intelligently match agents, accurately calculate the proportion of agent addition based on the degree of excess, and achieve precise dosing through a metering pump device. The reinforcement learning model takes water quality monitoring data, dosing treatment effects, pumping rates, dosing rates, and output and discharge rates as inputs, and outputs the optimal pumping and dosing control strategy through continuous learning and optimization. The dosing strategy is adjusted in real time according to water quality changes, effectively solving the problems of unstable treatment effects, waste of agents, and high costs in traditional contaminated groundwater treatment systems.

The invention discloses an efficient defluorination agent as well as a production method and equipment thereof, and relates to the technical field of fluorine-containing wastewater treatment. The efficient defluorination agent disclosed by the invention is prepared from HEDTA (Hydroxyethylene Diamine Tetraacetic Acid), DTPA (Diethylene Triamine Pentacetate Acid), Fe2 (SO4) 3, FeCl3, NaHCO3, NaH2PO4, Fe-MOFs (Metal-Organic Frameworks), Zn-MOFs (Zn-Metal-Organic Frameworks), propylene glycol The fluorine removal agent disclosed by the invention can efficiently remove fluorine ions in water through a plurality of action mechanisms such as stable chelation, fluorine removal by precipitation, catalytic oxidation, fluorine removal by adsorption, pH buffer adjustment and the like; the microchannel reactor is adopted for continuous production, so that the uniformity and the stability of the medicament are improved, and the defluorination effect is ensured; the defluorination agent is suitable for defluorination treatment of drinking water, industrial wastewater and underground water; after low-fluorine and medium-fluorine water treatment, the fluorine ion concentration is reduced to below 1mg / L, and the water quality recovery standard of drinking water and underground water is met; and less sludge is generated in the defluorination process.

The invention relates to the technical field of underground water sampling, in particular to an underground water quality monitoring and sampling device which comprises a sampling box, a buoyancy component is fixedly mounted on the lower side of the sampling box, a sampling shell is fixedly mounted on the lower side of the buoyancy component, and a sampling component is rotatably mounted on the upper side of the sampling shell. An anti-turbulent flow assembly is fixedly mounted on the lower side of the sampling shell; the worm drives the worm gear to rotate, the worm gear drives the driving rod to rotate, the driving rod drives the driving gear to rotate, the driving gear drives one of the connecting gears to rotate, and therefore the multiple sets of connecting gears are driven to perform linkage movement; the six anti-spoiler plates are driven to move and are parallel to one another, large-particle sediments which do not participate in detection at the bottom of the sampling well are separated, then sampling water is sucked into the sampling well through the one-way suction nozzle, and the situation that the sampling water is mixed and polluted due to turbulent flow generated in the suction process is prevented.

The invention is applicable to the technical field of pollution remediation, and particularly relates to a remediation method for polluted underground water in a storage yard based on coupling and blocking of a permeable reactive barrier, and the method comprises the following steps: acquiring site hydrogeological conditions and distribution conditions of pollution plumes, and constructing a stretching arm type water stop guide wall; constructing a lifting type PRB system, wherein the lifting type PRB system is constructed in a closure area of two downstream arms of the arm-expanding type water stop guide wall; the PRB filler is determined according to the water quality, the flow and the flow velocity of the underground water, the lifting type PRB system is filled with the PRB filler, and the polluted underground water is repaired through the PRB filler. Polluted underground water at the bottom of the tailing pond and around the tailing pond is blocked, guided and converged by the aid of the arm-expanding type water-stopping and flow-guiding wall, the polluted underground water is guided into the lifting type PRB system, and the polluted underground water naturally flows through the PRB system under the converging action of the water-stopping and flow-guiding system. Therefore, the underground water flowing to the downstream through the PRB system reaches the underground water environment quality standard requirement or meets the ecological function requirement of regional underground water.