153 results about "River pollution" patented technology

The invention relates to the technical field of river pollution identification, in particular to a pollutant identification and early warning method and system for a river patrol pollution source, and the method comprises the steps: constructing a three-dimensional monitoring network system, so as to build a three-dimensional data collection architecture; establishing a space-time reference unified framework to realize synchronous time service of different monitoring nodes; deploying an edge computing node, and implementing data preprocessing at an equipment end of the monitoring node; constructing a pollutant feature library which comprises spectral features, water quality parameter correlation features and visual morphological features of river pollutants, and establishing a water quality parameter correlation model of organic pollutants and inorganic pollutants, which comprises a plurality of feature dimensions; and a self-adaptive threshold early warning mechanism is established, a space-time composite early warning model is constructed, and accurate positioning and hazard degree grading early warning of pollution events are realized. According to the invention, through the hierarchical fusion model of technology fusion, the precision and speed of identifying the river pollutants are improved.

The invention relates to the technical field of water pollution traceability, and particularly discloses a river pollutant traceability system and method based on digital twinning, and the system comprises a water body sampling module which is used for obtaining the current water quality data of a preset region of a target river; the model construction module is used for constructing a digital twinborn model according to the river topographic data and the current water quality data and by fusing the historical hydrological data, the real-time meteorological data and the drain outlet distribution topological graph; the data analysis module is used for performing spatial-temporal feature extraction on a pollutant diffusion path in the digital twinborn model by utilizing a graph convolutional neural network, applying dynamic correction pollution source position probability distribution in combination with Bayesian inference, and generating a traceability path thermodynamic diagram; and the pollution traceability module is used for obtaining a pollutant traceability result according to the confidence coefficient threshold of the traceability path thermodynamic diagram. According to the method, the efficiency and the accuracy of tracing the river pollutants in the complex dynamic environment can be remarkably improved, and technical support is provided for ecological safety and precise treatment of a drainage basin.

The invention provides a river pollutant traceability method and a river pollutant traceability system. The method comprises the following steps: constructing a potential pollution source feature fingerprint database fused with an LSTM time sequence feature extraction model, carrying out abnormal water quality fingerprint identification on a monitored river reach, if identification is abnormal, collecting an upstream water sample, detecting to obtain a water quality fingerprint, comparing the water quality fingerprint with the abnormal water quality fingerprint, determining a target river reach according to a comparison result, and determining the target river reach according to the comparison result. The method comprises the following steps: sampling all enterprises of a target river reach in real time, comparing detection result data with detection result data of an abnormal water sample, determining potential pollution sources according to a comparison result, determining high-matching candidate sources from the potential pollution sources by utilizing an LSTM (Long Short Term Memory) time sequence feature extraction model, carrying out space transition verification on the high-matching candidate sources, and carrying out space transition verification on the high-matching candidate sources. And determining the pollution source according to the verification result. According to the method, the accuracy, efficiency and result reliability of tracing the river pollutants can be effectively improved, and the scenes of multi-source pollution, intermittent emission and the like of complex rivers can be effectively handled.

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 ecological restoration prevention and control, in particular to a sea-entering river pollution source targeted blocking and ecological restoration integrated prevention and control system which comprises a pollution source recognition unit, a targeted blocking unit, an ecological restoration unit and a cooperative control platform. The recognition unit combines a multispectral unmanned aerial vehicle with a water quality sensor and positions a pollution source through artificial intelligence traceability; the targeted blocking unit implements physical-chemical combined blocking according to pollution types; the ecological restoration unit purifies water and reconstructs ecology through a modular constructed wetland and the like; the cooperative control platform optimizes each unit strategy based on hydrological data; each unit correlation formula accurately calculates parameters, such as a recognition algorithm, a gate dam opening control formula and the like. According to the invention, multi-technology fusion and system collaboration are realized, pollution events can be quickly responded, measures are accurately applied, the sea-entering river pollution prevention and control efficiency is effectively improved, the treatment cost is reduced, and drainage basin water environment ecological restoration and sustainable development are promoted.

The invention relates to the field of river pollution treatment, and discloses a water quality treatment method, system, equipment and medium based on a remote sensing inversion technology, and the method comprises the following steps: S1, collecting a hyperspectral remote sensing image of a to-be-monitored water body, the hyperspectral remote sensing image comprising chlorophyll concentration, suspended matter concentration and dissolved oxygen; s2, based on the hyperspectral remote sensing image, preprocessing the hyperspectral remote sensing image, including geometric correction, atmospheric correction, noise removal and waveband fusion, to obtain a preprocessed image meeting an inversion precision requirement; and S3, inputting the preprocessed image into a water quality inversion model, and obtaining pixel-level chlorophyll, suspended solids and dissolved oxygen concentration data based on physical radiation transmission. By combining the hyperspectral remote sensing image and the water quality inversion model, large-range, real-time and high-precision water quality monitoring and pollution zoning are realized, model parameters are dynamically updated, and the timeliness and precision of water quality treatment are improved.

The embodiment of the invention discloses a riverway pollution detection method based on unmanned aerial vehicle inspection, and the method comprises the steps: firstly obtaining a label data set of a target riverway region, training an initial riverway pollution detection network based on the label data set after building the initial riverway pollution detection network, and obtaining a trained riverway pollution detection network; and inputting the obtained current multi-modal image of the river channel region into a river channel pollution detection network for pollution detection to obtain a river channel pollution detection result. The river pollution detection network optimizes a multi-modal feature fusion mechanism, and can avoid information interference caused by insufficient utilization of feature scale sensitivity, thereby effectively improving pollution detection precision. Meanwhile, the network is adaptive to edge equipment such as an unmanned aerial vehicle, the current multi-mode image of the river channel can be quickly processed, real-time pollution detection and early warning are realized, and the timeliness and practicability of river channel pollution monitoring are enhanced.

The invention provides a river pollution source tracking system and method combined with water quality monitoring, and relates to the technical field of water quality monitoring. The distribution gradient analysis module is used for analyzing the collection distribution gradient of each collection target; the uniformity evaluation module is used for carrying out distribution uniformity evaluation according to the collection distribution gradient and configuring a water quality monitoring strategy; the path analysis module is used for collecting water quality monitoring data and analyzing a pollutant propagation path in combination with the collected water flow data to obtain a propagation moving line of each pollutant; and the pollution source tracing module is used for tracing the pollution source through a reverse tracing algorithm and positioning the position and the type of the pollution source. The technical problems that water quality monitoring in the prior art depends on fixed monitoring points, the water quality is evaluated through regular sampling and water quality parameter analysis, the change condition of the water quality in a large range cannot be comprehensively reflected, and the exact position and type of a pollution source are difficult to accurately trace are solved.

The invention is applicable to the technical field of water pollution control, and provides a river pollution prediction method based on a hydrology-hydrodynamic force-water quality coupling model, comprising the following steps: acquiring hydrology and water quality related data of a river; establishing a one-dimensional hydrodynamic model according to the hydrology and water quality related data, and operating the one-dimensional hydrodynamic model to obtain one-dimensional dynamic change data of the river; establishing a two-dimensional hydrodynamic water quality model, performing joint solution on the one-dimensional dynamic change data and the two-dimensional hydrodynamic water quality model, and simulating a pollutant migration and transformation process; and determining the water quality pollution condition of the river based on the simulation result. The water quality pollution condition of the river can be accurately simulated and predicted.

The invention relates to an organic carbon multi-source classification and dynamic list construction method for reservoir methane accounting, and belongs to the technical field of reservoir ecology and greenhouse gas accounting. Aiming at the technical problem that the dynamic change and degradation influence of the organic carbon source cannot be accurately quantified by a traditional method, the invention proposes that the organic carbon source is refined into four types of submerged soil, sediment sediment, algae autogenesis and in-river pollution, calculation models are respectively established, and a dynamic degradation list is constructed by combining a time attenuation factor and reservoir age-month weighted calculation. According to the method, dynamic quantification of the organic carbon input-degradation process is achieved, the CH4 emission prediction error is reduced by 30% or above, and high-precision data support is provided for reservoir carbon management and emission reduction.

The invention discloses a river pollution detection method based on multi-modal data fusion, and belongs to the technical field of environment monitoring. The method comprises the following steps: firstly, collecting water quality sensor data, remote sensing image data and meteorological data, and preprocessing the data, including data cleaning, normalization and feature extraction; feature fusion is carried out on the preprocessed data, comprehensive features capable of representing the river pollution condition are extracted, and dimension reduction is carried out on the fused comprehensive features; in the model training and optimizing stage, a river pollution detection model based on fusion features is constructed, and the feature extraction capability and the calculation efficiency of the model are enhanced; training and optimizing the model by utilizing an optimization algorithm, and adjusting parameters and a structure of the model; finally, the optimized model is applied to actual river pollution detection, collected data are analyzed and processed in real time, river pollution events are detected, early warning is given out in time, and high-precision river pollution detection is achieved.

The invention discloses a riverway treatment method and system based on an image processing technology, and relates to the technical field of urban riverway treatment, the system divides a treatment area into a plurality of sub-river reaches by using a GIS, river network distribution and a DEM model, and collects video frames, water quality images and pollution feature images; through image processing, extracting a motion track, a distribution characteristic, water body color information and an abnormal color development area of the floating object, and analyzing a pollution change trend and a mutation characteristic; the water surface garbage diffusion disturbance coefficient is monitored, the water surface garbage state is judged in combination with a threshold value, and strategy response is triggered; when the water quality is abnormal, judging whether the color of the water body is normal or not through water body color difference abnormal coefficient analysis; if pollution exists, the pollution gradient change is analyzed section by section in the countercurrent direction of the river channel, a pollution source is locked, and a pollution discharge upstream inference report is generated; according to the invention, the river pollution monitoring precision and response efficiency are effectively improved, and ecological management and environmental protection are assisted.

The invention relates to the technical field of data processing, in particular to a river pollution monitoring management method fused with environmental information perception. According to the method, monitoring points are classified according to information collected in a non-rainfall period, and a plurality of monitoring point clusters are obtained. In the target rainfall period, the rainfall influence degree of the monitoring points is determined by analyzing pollutant concentration data changes before and after analysis and rainfall information, and then the target monitoring points needing data correction are screened out. A time correction method is adopted, reference time periods are selected in the non-rainfall time periods, the reference weight of each reference time period is determined by analyzing the time sequence position of the reference time periods and the rainfall influence degree of the latest rainfall time period, and then time correction is conducted; and further performing space correction by using other monitoring points in the monitoring point cluster obtained by classification to finally obtain corrected pollutant concentration data. According to the method, the influence of rainfall on pollutant concentration data is eliminated, and the data reference is increased while the data coherence is ensured.

The invention discloses a flood season river pollution early warning system and method, and relates to the technical field of environmental monitoring, the system comprises a microbial electrochemical sensor module, a current monitoring and data analysis module, a multistage early warning trigger module, a chemical detection auxiliary module, and a data transmission and storage module, through the microbial electrochemical sensor network, water samples on the surface layer, the middle layer and the bottom layer of a river can be collected at the same time, the toxicity index of composite pollutants is analyzed in real time by means of metabolic activity changes of electroactive flora, the comprehensiveness of monitoring of the river pollution condition is greatly improved, meanwhile, the current pulse frequency is monitored in real time, and the toxicity index is rapidly analyzed; and by matching with a preset accurate threshold value of the early warning trigger module, an early warning mechanism can be quickly triggered once the pollution condition reaches an early warning standard, so that the early warning timeliness is greatly improved, the time interval from pollution occurrence to early warning sending is shortened, and precious time is won for taking pollution prevention and control measures in time.

The invention discloses a river pollution traceability analysis system and method based on an ultraviolet-visible light image, and the system comprises a data perception layer, a data preprocessing and transmission layer, a model calculation and traceability engine layer, and an application service layer. According to the method, the existing manual sampling and chemical analysis are replaced or reduced by an ultraviolet-visible light video online monitoring technology, automatic acquisition and nearly real-time analysis of data are realized, the monitoring cost and time delay are greatly reduced, the drainage basin is innovatively abstracted into a digraph structure, and the drainage basin monitoring system has a wide application prospect. Multi-source data such as optical images, hydrology, meteorology and geographic information are comprehensively utilized, a more comprehensive analysis model is constructed, the traceability conclusion is more scientific and reliable, a set of complete system solution from data acquisition, processing and modeling to business application is provided, and the method has good engineering application value and popularization prospects.

The invention discloses a river-into-sea pollution source segmented detection device, and belongs to the technical field of water pollution detection, the river-into-sea pollution source segmented detection device comprises a clear water tank fixedly mounted on a ship body, a mounting rack is fixedly mounted on one side of the clear water tank, and a hoisting mechanism, a water sample extraction mechanism, a water sample detection mechanism and a pipeline air drying mechanism are fixedly mounted on the top of the mounting rack. According to the invention, through cooperative use of the pipeline flushing mechanism and the cleaning member, water samples remaining in pipelines of the water sample detection mechanism and the water sample extraction mechanism can be flushed and cleaned; clear water left in the cleaned pipeline of the water sample detection mechanism and the water sample extraction mechanism can be subjected to hot air drying, so that the condition that a water body in a target detection area is mixed with a water body in a non-target detection area when the pollution conditions of different water areas are subjected to multi-point segmented detection is avoided; and the accuracy of a water pollution source detection result is improved.

The invention relates to the technical field of electronics, and discloses an urban river pollutant traceability method and device, electronic equipment, a medium and a product. The method comprises the steps that when it is monitored that target pollutants of any target monitoring section exceed the standard, the target monitoring section serves as an end point; reversely simulating an upstream diffusion path of the target pollutants by using a pre-constructed mechanism and data hybrid model to obtain theoretical concentrations of the target pollutants in a plurality of upstream river sections; determining at least one traceable river reach in the plurality of upstream river reaches based on the theoretical concentration of the target pollutants; pollution characteristic data of a water body in the traceable river reach is obtained; performing similarity calculation on the pollution characteristic data and characteristic data of a plurality of pollution sources in a pre-constructed pollution source characteristic knowledge graph to obtain a similarity value between the pollution characteristic data and each pollution source; and determining at least one target pollution source in the plurality of pollution sources based on the similarity value, thereby realizing dual precision of qualitative and quantitative analysis of the pollution sources, and greatly improving the tracing efficiency.

The invention relates to a purification treatment device for treating river water pollution, which comprises a positioning part arranged at the bottom of a riverbed, a culture floating bed arranged above the positioning part, a floating structure arranged on the culture floating bed and used for providing buoyancy for the culture floating bed, an air supply structure arranged on the culture floating bed, and an inverted conical bottom surface extending downwards from the bottom surface of the culture floating bed, the air outlet end of the air supply structure corresponds to the outer surface of the bottom end of the culture floating bed, a plurality of layers of bacterium culture structures are arranged along the outer surface of the culture floating bed, a groove which extends downwards and accommodates air is formed by the bacterium culture structures and the culture floating bed, and a porous bacterium culture structure is arranged in the groove; a planting structure is arranged on the outer ring of the top end of the culture floating bed corresponding to the water surface height; a collection opening is formed in one side of the outer ring of the top end of the culture floating bed and is opposite to the water flowing direction of the riverway. The device can act on the area, making contact with air, of the surface of the river channel, and can further culture aerobic bacteria in the deep position of the river channel to decompose harmful substances, and the effect of treating river channel pollution more stereoscopically is achieved.

The barrier gate comprises a driving motor fixedly connected to one side of the top of a riverway, an output shaft of the driving motor is fixedly connected with a first rotating rod, a mounting seat is mounted in the riverway through a first supporting seat and a second supporting seat, then the driving motor is started, and the first rotating rod is fixedly connected with a second rotating rod. A driving motor drives a first rotating rod to rotate through a first supporting seat, the first rotating rod drives first gears on the two sides to rotate, the first gears drive a second gear at the bottom to rotate through a chain, the second gear drives a second rotating rod to rotate through a second supporting seat, meanwhile, the chain drives a fixing rod to move, and the fixing rod drives a connecting rod to move. The connecting rod drives the collecting rod to move, sundries intercepted at the trash rack can be cleaned and fished through the collecting rod, the collecting rod can be turned over through the chain, and the cleaned and fished sundries are conveyed out of the river channel through the collecting rod to be collected and cleaned, so that the purposes of cleaning the sundries in the river channel, preventing the river channel from being blocked and keeping water flow smooth can be achieved.

The invention provides a river water pollution treatment device, which belongs to the technical field of environmental pollution abatement, and comprises a pretreatment water diversion cylinder, an adjustable buffer water delivery assembly is arranged on the inner side of the pretreatment water diversion cylinder, and the lower part of one end far away from a water inlet is connected with a sediment trapping cylinder; a conical filter cylinder is arranged on the inner side of the sediment trapping cylinder and is communicated with the rear side of the filter plate in the pretreatment water guide cylinder through an intercommunication guide pipe. The rear side of the filter plate is connected with the bottom of a deep treatment box through a water delivery pump; a detachable sealing top cover and a purified water outflow pipe are arranged at the top of the box. A biological membrane reaction assembly and an ultraviolet lamp disinfection assembly are arranged in the deep treatment box, and the biological membrane reaction assembly depends on a rotatable carrier frame and utilizes attached microorganisms to degrade organic matters and nitrogen and phosphorus nutritive salts, so that efficient purification is realized. According to the invention, stable, efficient and integrated treatment of the polluted water body of the riverway is realized through the synergistic effect of self-adaptive buffer water inlet, efficient sedimentation and filtration, rotary biofilm degradation and ultraviolet disinfection.

The invention discloses a precipitation-driven river pollution source analysis method based on multi-scale analysis and application. The analysis method comprises the following steps: acquiring precipitation data, river water quality data and hydrological data of a to-be-researched region for many years; determining a pollution type according to the river water quality data sudden change point; based on the pollution type, positioning pollution time and a pollution area by adopting a space-time heterogeneity analysis method; aiming at the pollution time and the pollution area, establishing a relation between rainfall and river water quality pollution. According to the method, the analysis limitation of a traditional single spatial-temporal scale is broken through, and point-line-plane multi-dimensional response analysis is achieved; through coupling modeling of water quality mutation recognition and rainfall driving analysis, the superimposed influence of human activities and meteorological hydrology on river water quality is systematically revealed, and comprehensive analysis of the relationship between rainfall and river water quality pollution is realized in combination with year, season and day multi-scale collaborative analysis.