14 results about "Pollutant transport" patented technology

The invention relates to the technical field of model simulation, and discloses a precise traceability method and system for underground water organic pollutants, and the method comprises the steps: building a space-time feature set based on monitoring well concentration data and geological parameters, and generating a preliminary continuous concentration field through Gaussian process regression; secondly, extracting geometric features of a concentration field, establishing a flow field model in combination with an underground water level gradient, simulating a pollutant transport process, screening a potential source position set according with a time deviation threshold value, and constructing a source strong release model to invert optimal release parameters; a migration path is generated, and an effective path is screened according to the cumulative flux coverage degree to reconstruct a global concentration field; and finally, determining a final pollution source coordinate through concentration field gradient rotation analysis and isoline geometric continuity evaluation in combination with Bayesian probabilistic reasoning. According to the method, the traceability accuracy can be improved.

The system comprises a data acquisition and input module, a data preprocessing module, a three-dimensional geological construction module, a solute transport module and a visualization and interaction module, the data acquisition and input module is used for multi-source data acquisition, the data preprocessing module is used for data cleaning and sorting, and the three-dimensional geological construction module is used for three-dimensional geological construction. The three-dimensional geological construction module is used for constructing a three-dimensional geological model, the solute transport module is used for simulating the transport of pollutants under the action of underground water flow, and the visualization and interaction module is used for displaying simulation results and performing user interaction. According to the invention, an improved pollutant transport channel intelligent description and dynamic modeling algorithm is provided to construct a three-dimensional geologic structure model, and an improved pollutant transport high-precision feature-operator splitting algorithm is provided to simulate the transport of pollutants under the action of underground water flow. And a better scheme is provided for the underground water pollutant flow direction determination method and system based on multi-source data detection.

The invention relates to a water environment pollution source reasoning and tracing method, system and equipment and a medium. The method comprises the following steps: constructing a pollution source characteristic database containing spectrum fingerprints and spatio-temporal information; performing time sequence enhancement on the mixed spectral signal of the monitoring point to extract stable features; a hydrological model is coupled to dynamically simulate pollutant transport paths and probabilities, and a potential contribution source set with weights is generated; analyzing the mixed signal by adopting a deep unmixing network embedded with space-time constraint, and separating and quantifying known source contribution and unknown pollution components; and finally, generating a visual pollution contribution degree spatial distribution diagram and a quantitative traceability report through geographic information mapping. The method solves the problems that complex mixed signals are difficult to accurately analyze, multi-source contribution is difficult to dynamically quantify and unknown pollution components are difficult to effectively recognize in the prior art, and intelligent and accurate traceability of municipal water environment non-point source pollution is achieved.

The application provides a three-dimensional network fracture model construction method, system, medium and equipment, relates to the three-dimensional network fracture simulation technical field, determines basic parameters according to a network fracture geometric model, and establishes a three-dimensional network fracture model, carries out inert solute transport simulation and reactive solute transport simulation on the basis of the groundwater flow field of the three-dimensional network fracture model, to obtain reactive solute transport parameters, and calculates the spatial distribution of the reactive solute in the three-dimensional network fracture model according to the reactive solute transport parameters, so that the transmission state of the reactive solute in the fracture medium is accurately obtained and analyzed, and scientific and reasonable data support is provided for the control of the pollutant transport and reaction process.

This invention discloses a method for evaluating the energy efficiency of sewage pipe network collection, comprising the following steps: 1. Calculating the regional sewage collection rate I_A1, the water quality of the sewage pumping station during dry weather I_A2, the proportion of external water during dry weather I_B1, the increase ratio of sewage pumping station flow during rainy weather I_B2, the COD concentration discharged from the rainwater pumping station I_B3, and the density of structural defects I_C1 for the sewage pipe network to be evaluated; 2. Scoring; 3. Multiplying the scores by their respective weights and summing them to obtain the collection status index S_A, the external water intrusion index S_B, and the pipe network defect index S_C; 4. Calculating the comprehensive energy efficiency index SCEI of the sewage pipe network collection based on the collection status index S_A, the external water intrusion index S_B, and the pipe network defect index S_C; 5. Obtaining the energy efficiency evaluation level based on the comprehensive energy efficiency index SCEI of the sewage pipe network collection. This invention provides a more comprehensive and scientific quantification and evaluation of the sewage collection, pollutant transport, and system operational health of the sewage pipe network.

This invention provides a method and system for sampling, analyzing, and monitoring damaged groundwater, relating to the field of groundwater sampling and analysis technology. By constructing an original data matrix and performing scientific normalization, this invention calculates a comprehensive risk index, accurately delineates potential pollution risk zones, and achieves quantitative and objective risk classification of monitoring areas. This solves the resource misallocation problem caused by uniform sampling points in traditional groundwater sampling. Based on precise cyanide water quality parameters obtained from stratified sampling, a cyanide pollutant transport model is established and numerically solved using the finite difference method. This overcomes the limitations of relying solely on data from individual sampling points, making it difficult to grasp the overall spatial distribution and future diffusion trends of pollutants. By spatially superimposing and comparing cyanide concentration with a set threshold, it determines whether the groundwater in each grid unit is damaged, providing a clear and repeatable judgment standard.

This application provides a computer simulation-based method and system for simulating thermal desorption, mass transfer, and heat transfer, relating to the field of computer simulation technology. This application obtains a constructed geometric model of a contaminated soil pile and acquires multiple sets of pore pressure gradients at different depths within the contaminated soil pile at different times, along with corresponding gas Darcy velocities. Support vector regression is used to perform regression analysis on these multiple sets of pore pressure gradients and gas Darcy velocities to calculate the permeability tensor. The Darcy resistance term in the momentum conservation equation is corrected based on the permeability tensor of each grid cell, generating a gas flow equation for each grid cell. The gas flow equations of all grid cells are then combined to obtain the gas velocity field. The velocity vector is used as a convection parameter and substituted into the pre-set heat transport equation and pollutant transport equation to obtain the simulation results of thermal desorption, mass transfer, and heat transfer, achieving accurate simulation of the dynamic permeability changes caused by the gas slippage effect under high vacuum extraction.

The application discloses a bedrock fissure site VOCs vapor invasion risk assessment method, comprising the following steps: S1, identifying the area where the bedrock and groundwater in the site exist VOCs pollution; S2, establishing a pollutant transport flux simulation test system; S3, using the pollutant transport flux simulation test system, carrying out the target pollutant transport flux test of the pollution area, setting a first transport flux test point at the center position of the pollution area, and calculating the maximum influence area of the first transport flux test point during the test; S4, selecting a second transport flux test point in the pollution area outside the maximum influence area of the first transport flux test point, and repeating step S3 to calculate the maximum influence area of the second transport flux test point during the test; S5, repeating steps S3 to S4 until the maximum influence areas of all transport flux test points are superimposed and cover the whole pollution area; and S6, predicting the future indoor vapor invasion health risk of the population in the pollution area.

This invention provides a method for predicting the spatiotemporal evolution of air quality in urban built-up areas and for forecasting exposure risks. It relates to the field of electronic digital data processing technology. The spatiotemporal evolution method includes: discretizing the target area to be monitored into a cubic sampling domain; planning the flight path of a UAV; and constructing a sparse dataset containing five-dimensional features. Iterative upsampling operations are performed to transform the sparse dataset into a dense set of feature points covering the sampling domain. The pollutant transport flux vector of each node within the dense feature point set is calculated, and a weighted reverse tracing vector pointing to the suspected source is constructed. A three-dimensional source tracing probability cone is then constructed by combining turbulence intensity. The centroid offset coefficient and axial dispersion are extracted, and the emission condition label of the pollution source is identified using a ternary emission condition discrimination model. Multi-source probability field superposition and fusion are performed to determine the estimated coordinates of the pollution source. Based on the estimated coordinates, a forward spatiotemporal diffusion simulation is performed, and a three-dimensional risk warning map is output.

The application discloses a quantitative inversion method for the influence of strait inflow on the transport of pollutants into the sea, and relates to the technical field of sea area pollutant transport, and the quantitative inversion method comprises the following steps: constructing a three-dimensional hydrodynamic model based on hydrological observation data; constructing a pollutant transport model based on the three-dimensional hydrodynamic model, and simulating the transport path of pollutants in the strait inflow process by using the pollutant transport model; constructing a zero-dimensional water quality prediction model of a harbor according to characteristic parameters, and calculating the pollutant environmental capacity by using the zero-dimensional water quality prediction model of the harbor; and constructing a quantitative inversion model according to the pollutant environmental capacity, and performing quantitative inversion of the pollutant transport by using the quantitative inversion model. The three-dimensional hydrodynamic model is constructed by obtaining the hydrological observation data of the strait area, and the hydrodynamic characteristics in the strait inflow process are analyzed, so that the complex hydrodynamic environment can be fully reproduced, and a solid foundation is provided for studying the influence of the inflow process on the transport of pollutants.

The invention discloses a drainage basin farmland nitrogen and phosphorus loss pollution hot spot identification and water quality degradation tracing method and system, and the method comprises the steps: dividing a research drainage basin into a plurality of landscape units based on a drainage basin process simulation model, and calculating the nitrogen and phosphorus loads of each landscape unit in a preset time period; based on landscape unit boundaries and topographic data, constructing a directed communication network between landscape units, and constructing a pollutant transmission directed graph; according to the terrain elevation difference, the spatial distance and the shared boundary length between the landscape units, pollutant transmission weights of directed edges are calculated, and a pollutant transmission weight matrix is constructed; coupling the nitrogen and phosphorus loads of each landscape unit with the pollutant transmission weight matrix, and carrying out pollutant transmission calculation on the directed connected network to obtain the contribution of each upstream landscape unit to the nitrogen and phosphorus loads of the target section; and according to a contribution result, the landscape units are sorted, and farmland nitrogen and phosphorus loss pollution hotspot units are identified, so that spatial traceability of water quality degradation is realized. The method is suitable for hilly drainage basins mainly suffering from agricultural non-point source pollution, and is simple and convenient to operate and convenient to popularize and apply.

This application discloses a data-driven turbulence modeling-based method and system for simulating the transport of slow-release pollutants, relating to the field of artificial intelligence technology. The method includes: simulating the flow field of a three-dimensional ideal urban street valley physical model to obtain a flow field dataset; using this dataset to train and improve a deep learning model to obtain a large-scale turbulence viscosity prediction model; establishing a numerical simulation method for the transport and diffusion of slow-release pollutants, coupling it with the large-scale turbulence viscosity prediction model to obtain a numerical model for predicting the transport of slow-release pollutants; constructing a physical model of the target urban street, and using the numerical model for predicting the transport of slow-release pollutants to perform simulations and obtain simulation results. This method fills the gap in the lack of numerical models for predicting the dynamic behavior of slow-release pollutants from microscale solid powders, and solves the problem of weak physical interpretability in existing deep learning-based turbulence viscosity models. It achieves high-fidelity simulation of the gas release and migration process of slow-release solid particles in complex urban wind fields.

The invention discloses a dynamic wind field forecast-driven atmospheric pollution contribution assessment method and device, and belongs to the technical field of urban low-altitude economic environmental meteorological safeguard, and the method comprises the steps: obtaining mesoscale background meteorological input data of a target region and a subcity-level resolution ground surface aerodynamic impedance map; generating a sub-city scale static near-surface foundation wind field based on the impedance map; background meteorological data and the static wind field are coupled and updated, and a near-surface dynamic change wind field and a pollutant concentration field with minute resolution and hectometer scale are obtained; carrying out data assimilation by combining meteorological and pollutant concentration observation data of a target area to obtain a three-dimensional wind field analysis field; and simulating pollutant smoke plume space distribution based on the analysis field, and quantitatively calculating pollutant conveying flux and setting concentration contribution of a pollution source to a specified receptor point location. According to the method, the precision and timeliness of pollution influence assessment are improved, and the problems of inaccurate assessment and response lag in a complex city pattern in the existing method are solved.

The application discloses a lake pollution source tracing analysis method based on multi-source data assimilation and reverse diffusion, relates to water pollution source tracing analysis, and comprises the following steps: after chemical pollution is monitored downstream of a lake, the monitored data is introduced into a water dynamics-water quality model after Kalman filtering, and space-time distribution data of the pollutants in the water body are acquired; pollution source inversion is carried out based on a differential evolution Markov chain Monte Carlo method, and pollution source parameters are acquired; forward simulation is carried out, a pollutant transport model is generated after a flow velocity field and water depth are solved by using the water dynamics-water quality model, the pollution source parameters are used as input, the space-time evolution of the pollutant concentration is predicted by using a finite volume method to discretize a control equation based on the pollutant transport model, and the pollution duration under natural attenuation is evaluated; and the real-time monitored data is compared with the expected effect, and the pollution source tracing analysis effect is evaluated. The application reduces the positioning error of the pollution source, improves the calculation accuracy of the pollution contribution rate, improves the source tracing efficiency, avoids the risk of excessive reagents, and reduces the treatment cost.