25 results about "Surface water pollution" patented technology

The invention discloses an isotope-based surface water pollution tracing method, which relates to the technical field of environment monitoring, and comprises the following steps: carrying out spatial aggregation analysis on an isotope residual distribution diagram, obtaining a time evolution characteristic table, executing space-time coding on the time evolution characteristic table, and obtaining an abnormal event sequence; analyzing the time continuity and the space change of the abnormal event sequence, outputting a pollution propagation characteristic table, and performing space-time similarity matching and node association on the pollution propagation characteristic table to generate a pollution propagation association matrix; and deducing a link direction of the pollution propagation incidence matrix, generating a pollution propagation path set, executing reverse tracking and regional assembly on the pollution propagation path set, and outputting a surface water pollution traceability report. According to the method, the isotope background model based on the space-time environment feature set is constructed, and the pollution propagation features are analyzed, so that chain reconstruction and dynamic tracking of the pollution event in time and space dimensions are realized.

The invention relates to the field of traceability and quantification, and discloses a surface water traceability and quantification method based on water quality concentration and chemical composition feature fusion, which is used for providing a more accurate technical means for surface water traceability. Comprising the following steps: screening chemical characteristic indexes, collecting a water sample, analyzing and constructing a pollution source chemical characteristic matrix; calculating the variation degree of each index and generating a dynamic weight vector; inputting the water sample vector and a receptor water sample vector into a non-negative constraint optimization model to obtain a preliminary contribution proportion; random disturbance is introduced for multiple iteration solutions, and a quantitative traceability result is output after statistical analysis. And the result is subjected to compliance judgment, and a suspicious pollution source is identified. And generating a key monitoring list based on the traceability result, optimizing the monitoring scheme, and updating the traceability result. According to the method, multi-dimensional features are fused, uncertainty is considered, closed-loop management is formed, the source of the surface water pollution source can be accurately traced, and a basis is provided for environment management.

The embodiment of the invention discloses a water resource quality detection method and device applied to a water diversion project and electronic equipment. A specific implementation mode of the method comprises the following steps: performing water quality detection on a water area where a water diversion project is located to obtain an earth surface water quality data set and an underground water quality data set; constructing an earth surface data structure network according to a pre-constructed water area simulation model and an earth surface water quality data set; constructing an underground data structure network; performing water pollution detection on the water area to generate an earth surface water quality detection result set and an underground water quality detection result set; performing correlation analysis on the surface water resources and the underground water resources of the water area to generate water pollution correlation characteristics; determining a surface water pollution area and an underground water pollution area of the water area; and determining the surface water quality detection result set, the underground water quality detection result set, the surface water pollution area, the underground water pollution area and the water pollution correlation characteristics as water resource quality detection results. According to the embodiment, the accuracy of the water area overall quality detection result can be improved.

The invention provides a leaching, intercepting and shrinking integrated clean mining method for an ionic rare earth mine, and relates to the field of mineral mining. The method comprises the steps that ore leaching liquid is injected into a rich liquid stage stope through a liquid injection hole to obtain rich liquid, and the rich liquid enters a rich liquid pool; the tail water is injected into the barren liquor stage stope through the liquid injection hole to obtain barren liquor, and the barren liquor enters the barren liquor pool; fresh water is injected into the stope in the leaching period through the liquid injection hole for leaching to obtain tail water which enters the tail water pool; a micro-watershed leakage liquid interception system is arranged at the downstream of the stope to collect interception liquid, the low-rare-earth-content interception liquid enters a tail water pool, and the high-rare-earth-content interception liquid enters a barren liquor pool; performing membrane concentration on the barren solution to obtain concentrated solution and fresh water; and feeding the pregnant solution and the concentrated solution into a mother liquor tank to obtain mother liquor, and feeding the mother liquor into a hydrometallurgy workshop to recover rare earth. According to the method provided by the invention, resource utilization of the barren solution, the tail water and the intercepted solution is realized, the rare earth recovery rate of the mine is improved, the pollution risk of surface water in a small watershed is reduced, the energy consumption is reduced, the carbon emission is reduced, and clean and green mining of the ionic rare earth mine is realized.

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 relates to the technical field of drainage basin surface water pollution tracing, in particular to a drainage basin surface water pollution tracing method based on multi-source data. According to the method, historical multi-source data is collected and preprocessed; obtaining a binary mask matrix and a standardized grid data matrix; obtaining a spatial feature tensor matrix through an improved convolutional neural network; extracting a dynamic time sequence data submatrix, and obtaining three groups of time sequence pooling feature tensors through an improved convolutional neural network; performing channel splicing on the spatial feature tensor matrix and the three groups of time sequence pooling feature tensors to obtain a space-time integrated feature matrix; acquiring historical pollution labeling data and training the improved convolutional neural network in combination with the space-time integrated feature matrix; and obtaining current multi-source data of the target drainage basin, and inputting the current multi-source data into the trained improved convolutional neural network to obtain a traceability result. According to the invention, through standardized integration of multi-source data, the problems of data isomerism and space-time dislocation in traditional traceability can be solved, and accurate positioning of a pollution source is realized.

The invention relates to a surface water pollutant detection and extraction method and system under a complex drainage condition, and the method comprises the steps: receiving declaration data uploaded by each target pollution discharge unit through an enterprise pollution discharge data reporting module, and forming pollution discharge source list data; the method comprises the following steps: receiving water quality and water quantity data uploaded by an on-line analyzer deployed at a target sewage draining exit through a key sewage draining exit on-line monitoring module; the method comprises the following steps: receiving monitoring index data uploaded by a fixed monitoring station deployed in a target surface water body through a receiving water body environment monitoring module; the data center cleans the data and inputs the data to an anomaly diagnosis model; and when an abnormality is diagnosed, generating an early warning event, automatically triggering a traceability evidence obtaining process, and pushing early warning information to a management platform at the same time. Original isolated declaration data, real-time on-line monitoring data and environment quality monitoring data are comprehensively collected and gathered by constructing an enterprise pollution discharge data reporting module, a key pollution discharge port on-line monitoring module and a receiving water body environment monitoring module.

The invention provides an abnormal value identification method and device for underground water and surface water pollutant monitoring data, and belongs to the technical field of underground water and surface water pollutant monitoring. According to the method, a pollutant network of underground water and surface water is constructed through a visual graph algorithm, and a plurality of abnormal nodes in the pollutant network are determined according to an analytic hierarchy process and a centrality index, so that effective identification of abnormal values in underground water and surface water pollutant monitoring data is realized. Therefore, the accuracy of the analysis result of the pollutant monitoring data is improved, the pollution condition can be found in time, and remedial measures can be taken.

The invention relates to the technical field of environmental engineering, and particularly discloses a surface water quality improvement effect evaluation method after comprehensive treatment of a water environment, and the method comprises the steps: S1, obtaining the basic condition of a project associated with surface water, and determining an evaluation object in combination with project partitioning; s2, determining the effect of a newly built or repaired pollutant treatment system on reducing the amount of surface water pollutants by analyzing the content and implementation condition of the evaluation object; s3, analyzing and comparing the environment quality condition of the coverage area where the newly built or repaired pollutant treatment system is located to determine the environment change caused by pollutant treatment; according to the method, the implementation effect of the treatment project is determined by analyzing the pollutant reduction amount and environmental change cleaning, the surface water quality improvement condition is determined through the model, the primary and secondary pollutants in the water body are reasonably determined, and the two are combined to analyze and determine the treatment measures to improve the surface water quality. And the reasonable effect objective evaluation work can be better carried out on the comprehensive treatment of the water resource.

The invention discloses a prediction method for neonicotinoid insecticide pollution of a surface water body in a drainage basin based on a sub-drainage basin and a machine learning model, and belongs to the field of surface water pollution prediction. Comprising the following steps: step 1, determining a sub-basin range, and taking a coordinate range of each sub-basin as an identity ID of the sub-basin; step 2, data acquisition and preprocessing; 3, establishing a data set, constructing a machine learning model, and adjusting and optimizing the model; 4, predicting the pollution of neonicotinoid insecticides to the surface water in the sub-drainage basins; and step 5, result visualization. According to the method, synchronous, rapid and accurate prediction of multiple sub-basins under the national scale is realized, and a brand new method reference is provided for forecasting and monitoring in the field of surface water body neonicotinoid insecticide pollution; meanwhile, six common neonicotinoid insecticides are integrated, so that synchronous prediction of multiple pollutants by one model is realized; and social and economic factors are supplemented, and pollution influence factors are comprehensively captured.

The utility model discloses a beneficial bacterium agent feeding device for surface water pollution treatment, which belongs to the technical field of surface water pollution treatment and comprises a placing plate, a charging mechanism, a stirring mechanism and a spraying mechanism, wherein the loading mechanism is arranged on the placing plate and comprises a feeding box, the top of the feeding box is communicated with a feeder, the side part of the feeding box is communicated with a discharging pipe and a guiding pipe, and the discharging pipe and the guiding pipe are respectively provided with a valve I and a valve III; the stirring mechanism is connected with the feeding box and is used for stirring the beneficial bacterium agent medicine in the feeding box; the spraying mechanism is connected with the other end of the material guide pipe and is used for putting beneficial microbial agent medicine; according to the design, water can be automatically added for dilution before the beneficial bacteria are put, so that the putting is more uniform, and the putting nozzle is adjustable.

The application discloses a kind of environmental monitoring devices for prevention and control of surface water pollution, it is related to monitoring device technical field, including suspension plate;Monitoring component, the monitoring component is fixed in the lower end of the suspension plate, for monitoring target water sample;Support plate, the lower side of the support plate is fixed in the upper end of the suspension plate;Sampling component, the sampling component is arranged in the monitoring component, for collecting required water sample;The existence of the suspension plate of the application makes that detection device can be placed on water surface, and the structural stability of support plate increases monitoring component and sampling component, the existence of sampling component makes that monitoring component can detect target water sample, and will not be influenced by external environment, to reduce the situation that floating ball moves due to the impact of water, to cause inaccurate measurement.

The invention discloses a surface water pollution real-time monitoring system, relates to the technical field of surface water pollution monitoring, and solves the technical problems of real-time monitoring and timely prediction of surface water pollution. Collecting monitoring data through a data collection module; the monitoring data are stored in the cloud platform; the data processing module compares the monitoring data with a standard interval thereof to obtain a monitoring data abnormal signal; acquiring a monitoring data change rate based on the monitoring data, acquiring a state label according to the monitoring data change rate and the rate detection model, identifying the state label, and acquiring a monitoring data change rate abnormal signal when the monitoring data is in an abnormal state; the early warning module gives a safety alarm according to the monitoring data abnormal signal and the monitoring data change rate abnormal signal; the system realizes real-time monitoring of the pollution condition of the surface water, predicts the change rate of monitoring data, performs prevention in advance, avoids the increase of the pollution range and degree of the surface water, and reduces the maintenance cost of the surface water.

The invention relates to the field of surface water pollution treatment, and discloses a microbial agent for improving bottom mud of rivers, lakes and reservoirs and application of the microbial agent. Comprising the following component materials in parts by weight: 100 parts of mineral aggregate, 0.5-2 parts of diluted hydrochloric acid, 0.5-2 parts of diluted sodium hydroxide, 0.5-5 parts of activated carbon, 0.1-0.5 part of a biological stimulant, 0.2-1 part of magnetic particles, 10-20 parts of a binder, 5-10 parts of a flocculant, 5-10 parts of water, 5-15 parts of microorganisms, 85-90 parts of capsule particles, 0.5-1 part of flora, 5-10 parts of nitrogen fertilizer, 5-10 parts of phosphorus fertilizer and 5-10 parts of potassium fertilizer. By adding the magnetic particles, the activated carbon and the biological stimulant, the pollutant adsorption capacity and the biodegradation rate of the multifunctional particles are remarkably improved, so that the multifunctional particles can more efficiently adsorb and degrade various pollutants in a water body, the treatment time is shortened, the treatment effect is improved, and the multifunctional particles are particularly suitable for a heavily polluted water body urgently needing to be rapidly treated.

This invention relates to the field of quantitative source tracing, and discloses a quantitative method for surface water source tracing that integrates water quality concentration and chemical composition characteristics, providing a more accurate technical means for surface water source tracing. The method includes screening chemical characteristic indicators, constructing a pollution source chemical characteristic matrix after water sample analysis, calculating the degree of variation of each indicator and generating a dynamic weight vector, inputting this weight vector and the recipient water sample vector into a non-negative constraint optimization model to obtain a preliminary contribution ratio. Through multiple iterations with introduced random perturbations, the method performs statistical analysis and outputs quantitative source tracing results. The results are also used for compliance assessment to identify suspected pollution sources. Based on the source tracing results, a key monitoring list is generated, monitoring plans are optimized, and the source tracing results are updated. This invention integrates multi-dimensional characteristics, considers uncertainties, and forms a closed-loop management system, enabling precise source tracing of surface water pollution sources and providing a basis for environmental management.

The present invention provides a method and system for analyzing the causes of surface water pollution based on the distribution of multi-source composite relationships. The method includes: Step 1, obtaining the time series of hydrological, pollutant concentration, and index factor monitoring data of surface water control sections; Step 2, data interpolation and normalization processing; Step 3, expressing the pollutant concentration as a linear superposition of the first-order terms and second-order partial derivative terms of various influencing factors; the direct relationship between the change of the influencing factor and the change of the pollutant concentration is described by the first-order partial derivative term, and the influence of the multi-factor composite action on the pollutant concentration during the formation process of the pollutant is described by the second-order partial derivative term; Step 4, spreading the change mechanism of the pollutant under the multi-factor composite action into a linear superposition form to determine the influence degree of various factors on the change of the pollutant concentration; Step 5, using multiple linear estimation to determine the linear relationship between the pollutant concentration and the first-order and second-order derivatives of the influencing factors, and realizing the analysis of the causes of surface water pollution according to the linear coefficients of each influencing factor.

The utility model relates to a kind of experimental device of the influence of surface water pollutant on karst groundwater quality, belong to groundwater simulation experimental device technical field, including river main body, water supply circulation driving device, groundwater fixed head device and groundwater pressure measuring device.The utility model can simulate the influence of surface water pollutant on karst groundwater quality under the different recharge-discharge relationship of surface water and multilayer groundwater, and the water level relationship corresponding to different recharge-discharge relationship includes: surface water>porous water>karst water, surface water>karst water>porous water, porous water>surface water>karst water, porous water>karst water>surface water, karst water>porous water>surface water, karst water>surface water>porous water.It can simulate the influence of surface water pollutant on groundwater under different surface river property conditions, and can simulate the influence of surface water pollutant on groundwater under different aquifer property conditions.

The application discloses a kind of surface water pollution tracing methods based on isotope, it is related to environmental monitoring technical field, including, to isotope residual distribution diagram is carried out spatial clustering analysis, obtains time evolution characteristic table, time evolution characteristic table is executed space-time coding, obtains abnormal event sequence;Analysis time continuity and spatial variation of abnormal event sequence, output pollution propagation characteristic table, pollution propagation characteristic table is carried out space-time similarity matching and node association, generates pollution propagation association matrix;Deduce the link direction of pollution propagation association matrix, generate pollution propagation path set, pollution propagation path set is executed reverse tracking and regional compilation, output surface water pollution tracing report.The application is realized by constructing the isotope background model based on space-time environmental characteristic set and analyzing pollution propagation characteristics, chain reconstruction and dynamic tracking in time and space dimensions of pollution event.

The application discloses a kind of microphage, preparation method and its method for targeting radical cure cyanobacterial bloom, belong to surface water pollution repair / governance field.The preparation method of microphage is as follows: after phage, Fe (III) flocculant and biological surfactant are mixed, the pH value of system is adjusted to neutral, then high-speed stirring is obtained to the surface of microphage by Fe (III) and its hydrolyzed form adhering phage.After pumping microphage into the surface of surface water to be treated, after producing algal residue, by scraping residue, collection removes the algal residue that floats to the surface of water, and the targeting radical cure of cyanobacterial bloom is completed.The method can efficiently enrich, target kill, quickly separate blue-green algae and its residue, successfully eradicate the possibility of water bloom outbreak again;Using phage and biological surfactant, the amount of chemical flocculant is reduced, secondary pollution of water body is avoided, and a reliable method for removing water bloom cyanobacteria is provided.

The invention discloses a surface water pollution zoning prevention dynamic management system and method. The method comprises the following steps: acquiring sampling data of monitoring coordinates; analyzing according to the sampling data, and determining a detection value of the influence parameter i; calculating a first risk assessment score of the detection value; judging whether the influence parameters have a mutual influence relationship or not based on the influence coefficient change curve, calculating coordination risk assessment scores of the influence parameters with mutual influence, and replacing the first risk assessment scores of the corresponding influence parameters; calculating risk assessment scores of the monitoring coordinates; and according to the risk assessment score, calculating a pollution control assessment score of the water area subarea corresponding to the monitoring coordinate, and determining a pollution control subarea grade of the water area subarea. According to the method, the pollution prevention and control subarea grade of each water area subarea is determined based on the mutual influence relationship among different influence parameters, and the accuracy of water pollution assessment is improved.

The invention provides a combined constructed wetland device for synchronous denitrification, dephosphorization and defluorination of agricultural irrigation and drainage, and belongs to the technical field of surface water pollution control experiments. The experimental device comprises a water inlet overflow tank, an aerobic nitrification area, an anaerobic denitrification area, a filler adsorption area, a water outlet area, a water supply system, a sewage sampling system, a drainage system, a plant purification system and supporting legs, wherein the water supply system is connected with a water supply bucket through a silica gel hose and a peristaltic pump by virtue of the water inlet overflow tank; the sewage sampling system comprises a sampling port formed by connecting a pagoda head and a silica gel hose on one side of the device in a patch tapping manner; the drainage system comprises a water outlet, a silica gel hose and a polyethylene water storage barrel; the plant purification system comprises wetland plants contained in the floating baskets. According to the device, synchronous nitrogen, phosphorus and fluorine removal of agricultural irrigation drainage can be simulated, and stratified sampling can be realized. The experimental device is simple in structure, small in occupied area and suitable for being popularized in laboratories.

The invention relates to the crossing field of environmental information technology and water pollution control, and particularly discloses a surface water pollution zoning prevention and control dynamic management system and a surface water pollution zoning prevention and control dynamic management method. The system comprises a multi-source water quality sensing network, a hydrological topology modeling unit, a fusion prediction and traceability engine, a pollution evidence chain storage platform and a partition prevention and treatment decision terminal. The method comprises the following steps: constructing a hydrological topology directed graph with space-time attributes, fusing computational fluid mechanics physical constraints and a space-time diagram neural network, realizing efficient prediction and source inversion of pollution diffusion, and generating a non-tampering pollution evidence chain based on a block chain; and the partition prevention and treatment decision terminal divides high, medium and low risk areas according to the risk levels, and matches differentiation prevention and treatment instructions. According to the system and the method, precise tracing of second-level response, scientific and explainable dynamic simulation and law enforcement support with legal efficacy can be realized, and the intelligence and refinement level of water pollution prevention and control is improved.

This disclosure presents embodiments of a method, apparatus, and electronic device for water resource quality testing applied to water diversion projects. One specific implementation of the method includes: conducting water quality testing on the water area where the water diversion project is located to obtain surface water quality datasets and groundwater quality datasets; constructing a surface data structure network based on a pre-built water area simulation model and the surface water quality datasets; constructing a groundwater data structure network; conducting water pollution testing on the water area to generate surface water quality test result sets and groundwater quality test result sets; performing correlation analysis on the surface water resources and groundwater resources of the water area to generate water pollution correlation features; identifying surface water pollution areas and groundwater pollution areas of the water area; and determining the surface water quality test result sets, groundwater quality test result sets, surface water pollution areas, groundwater pollution areas, and water pollution correlation features as the water resource quality testing results. This implementation can improve the accuracy of the overall water area quality testing results.

The application discloses a kind of based on sub-basin and machine learning model's prediction method of new neonicotinoid insecticide pollution in watershed surface water body, belong to surface water pollution prediction field;Including the following steps, step one, determine the scope of sub-basin, the coordinate range of each sub-basin is regarded as its identity mark ID;Step two, data acquisition and pretreatment;Step three, establish data set, construct machine learning model and model tuning;Step four, realize the prediction of sub-basin surface water neonicotinoid insecticide pollution;Step five, the visualization of result.The method of the application realizes the synchronous fast and accurate prediction of multiple sub-basins under national scale, provides a new method reference for the forecast monitoring of the field of surface water neonicotinoid insecticide pollution;Meanwhile, integrate six common neonicotinoid insecticides, realize the synchronous prediction of a model to multiple pollutants;Supplement social and economic factors, fully capture pollution influencing factors.

The utility model belongs to the technical field of surface water monitoring, and particularly relates to a surface water pollutant monitoring device which comprises a floating block, a fixing rod arranged on the upper side of the floating block in a surrounding mode, a platform plate arranged at the upper end of the fixing rod, a pump arranged in the center of the upper side of the platform plate, and a sampling pipe connected with the input end of the pump. The sampling pipe penetrates through the platform plate to the bottom of the lower side of the floating block, and a placing table is arranged on the upper side of the pump. The L-shaped cleaning rod scrapes and cleans the side face and the bottom face of the floating block, pollutants and the like attached to the surface of the floating block can be scraped off, the L-shaped cleaning rod drives the shifting piece to rotate, the shifting piece can push the scraped pollutants away from the position nearby the floating block from the center of the lower side of the floating block through water flow, and therefore the pollutants can be cleaned and driven away from the position nearby the floating block. When the water sample is detected, nearby new water flows and exchanges, so that the water sample during sampling detection is new, and floating foreign matters and bred bacterial colonies on the surface of the floating block are prevented from influencing the quality of the water body and causing an inaccurate detection result.