13 results about "Surface water pollution" patented technology

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 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 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 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 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 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.