30 results about "Pollutant transport" patented technology

The invention discloses a lake pollution traceability analysis method based on multi-source data assimilation and reverse diffusion, and relates to water pollution traceability analys.The lake pollution traceability analysis method comprises the steps that chemical pollution is monitored at the downstream of a lake, monitoring data are imported into a hydrodynamic force-water quality model after Kalman filtering, and spatial and temporal distribution data of pollutants in a water body are obtained; pollution source inversion is carried out based on a differential evolution Markov chain Monte Carlo method, and pollution source parameters are obtained; forward simulation is carried out, a flow velocity field and water depth are solved through a hydrodynamic force-water quality model, then a pollutant transport model is generated, pollution source parameters are used as input, a finite volume method discrete control equation is used based on the pollutant transport model to predict pollutant concentration space-time evolution, and pollution duration under natural attenuation is evaluated; and comparing real-time monitoring data with an expected effect, and evaluating a pollution traceability analysis effect. Pollution source positioning errors are reduced, pollution contribution rate calculation accuracy is improved, traceability efficiency is improved, the risk of excessive reagents is avoided, and treatment cost is reduced.

The invention provides an urban built-up area air quality space-time evolution and exposure risk prediction method, and relates to the technical field of electrical digital data processing.The space-time evolution method comprises the steps that a to-be-monitored target area is discretized into a cubic sampling domain, an execution flight path of an unmanned aerial vehicle is planned, and a sparse data set containing five-dimensional features is constructed; executing iterative up-sampling operation, and converting the sparse data set into a dense feature point set covering a sampling domain; calculating a pollutant transmission flux vector of each node in the dense feature point set, constructing a weighted reverse tracking vector pointing to a suspected source, and constructing a three-dimensional traceability probability cone in combination with turbulence intensity; extracting a centroid offset coefficient and an axial dispersion, and identifying an emission working condition label of the pollution source through an emission working condition ternary discrimination model; executing multi-source probability field superposition fusion, and determining an estimation coordinate of a pollution source; and executing forward space-time diffusion simulation based on the estimated coordinates, and outputting a three-dimensional risk early warning graph.

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 invention discloses a heterogeneous water-containing medium physical model construction and verification method, and belongs to the technical field of underground water flow and pollutant transport rules. The method comprises the steps of setting a simulation model; sand samples are collected on site for permeability coefficient determination, and a mean value and a variance are calculated; generating a gridding permeability coefficient field based on a direct Fourier transform algorithm; accurately filling quartz sand in a simulation device according to the parameter field to form an initial physical model; a three-in-one verification system of physical experiment-ERT in-situ monitoring-numerical simulation is adopted for verification and correction, and finally a physical model capable of truly reproducing field heterogeneous characteristics is constructed. Compared with a traditional method adopting a simple lenticular body to approximate heterogeneity, the method is more suitable for the space variability of the actual underground water-containing medium. According to the three-in-one verification system provided by the invention, multi-dimensional verification of model precision is realized, and a new technical normal form is provided for research on a migration mechanism of pollutants in a heterogeneous medium.

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.

The present application relates to the technical field of pollutant transport law calculation, and proposes a groundwater oil pollutant transport calculation method based on microbial information, according to a three-dimensional geological model, a mathematical control equation considering microbial ecological dynamics is established, then a linear equation set is assembled and forward solution is completed through preprocessing of the mathematical control equation, numerical inversion is carried out by using measured microbial community characteristics to depict the oil pollutant transport path; the present application aims at the insufficient simulation accuracy caused by the fact that the traditional algorithm does not consider the effect of underground microorganisms on pollutants, through numerical inversion of microbial community characteristics, the reliability of transport inversion sampling data is enhanced, and the data distortion problem is solved. At the same time, the deficiencies of the traditional algorithm, such as sampling data deviation and the influence of geological structure and other factors on the conventional sampling technology, are overcome, the mathematical control equation containing microbial ecological dynamics is constructed, and the simulation accuracy is improved.

The application discloses a clean room pollution source tracing method, system and equipment of adaptive grid dynamic reconstruction, comprising: acquiring the spatial characteristic value of the clean room, calculating the reference flow field data, and constructing the initial pollution sample library; the clean room space is divided into a primary grid and a secondary grid; real-time acquisition of the concentration time series data of the sensor, calculation of the concentration change gradient information, generation of a tertiary encryption grid; based on the tertiary encryption grid, multiplexing the reference flow field data, locally reconstructing the pollutant transport equation, and extracting the enhanced feature vector; inputting the mapping model, outputting the probability distribution and confidence of the pollution source position; after the tracing is completed, the tertiary encryption grid is released, the optimization parameters of the adaptive threshold are updated, the grid dynamic reconstruction is realized through the spatial distribution unevenness feature triggering mechanism, the problems of insufficient local precision or calculation redundancy of fixed grid division are avoided, the confidence evaluation is provided to support the risk decision, and the timeliness and accuracy of the clean room sudden pollution tracing are improved.

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.

The application discloses a kind of river hydrodynamics and pollutant migration collaborative prediction method based on coupling model, step 1, the MIKE21 hydrodynamic field of river channel is constructed;Step 2, construct pollutant migration model;Step 3: construct LSTM-MIKE 21 coupling model;Step 4, real-time prediction is carried out to the whole basin pollutant concentration field by coupling model.The application significantly improves the accuracy and reliability of pollutant migration simulation by bidirectional coupling of physical mechanism model MIKE 21 and data-driven model LSTM21, realizes the collaborative optimization solution of hydrodynamic field and pollutant concentration field.LSTM21 residual correction mechanism effectively compensates the complex process not covered by the pure physical model, reduces the pollutant peak concentration prediction error from more than 20% of the traditional method to less than 8%, and the compliance of mass conservation and non-negative concentration is more than 99.5%.

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.

The invention discloses an underground water seepage field and pollutant transport simulation device, and belongs to the technical field of underground water simulation test, the underground water seepage field and pollutant transport simulation device comprises a bottom plate for supporting, the bottom plate is provided with a water injection assembly, an adjusting assembly and a testing assembly, the adjusting assembly is arranged at the lower end of the testing assembly and is movably connected with the testing assembly, and the testing assembly is connected with the adjusting assembly. The water outlet end of the water injection assembly is connected with the upper end of the test assembly; through the cooperation of multiple groups of rotating assemblies and fixing cylinders, the combination of adjustable testing and fixed testing is formed, the problem that synchronous adjustment of multiple testing boxes of an existing device cannot be differentiated is solved, independent angle adjustment of each group of testing boxes can be achieved by selecting the cooperation relation of different connecting grooves and inclined grooves, and the testing efficiency is improved. The device not only can simulate traditional synchronous same-angle gradients, but also can simulate complex landforms such as stepped gradients and nonlinear gradient gradients, and covers natural and engineering landform scenes which cannot be simulated by an existing device.

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 present application relates to a kind of laboratory for studying the method and device for solving near well pollution with ultrasonic visualization.The present application relates to the technical field of oil and gas field development and stimulation, and the device is composed of ultrasonic system, displacement system, visualization monitoring system and data acquisition and control system;Focused ultrasonic transducer is accurately acted on microfluidic core model in cooperation with three-dimensional displacement platform, displacement system contains annular pressure automatic tracking module to simulate formation pressure, and high-speed camera realizes pore scale dynamic observation.The method comprises the following steps: establishing pollution model, applying controllable ultrasonic wave, in-situ visualizing collecting cavitation bubble and pollutant transport process, synchronously collecting seepage data and correlating and analyzing plugging removal mechanism.The present application can real-time observe the microcosmic dynamics process of ultrasonic plugging removal, quantify the relationship between frequency, power and plugging removal efficiency, and is suitable for mechanism research and parameter optimization of various near well pollution types, and solves the "black box" problem that traditional technology cannot in-situ visualize observation.

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.

This invention relates to a ventilation method for multi-face construction in an ultra-deep vertical shaft of an extra-long railway tunnel. Based on a construction area model and through characteristic pollutant transport simulation, the ventilation system structure in the construction area is determined. Corresponding air door opening and closing are controlled according to different construction scenarios. Axial flow fans are arranged in the ventilation duct, which is located between the auxiliary shaft and the auxiliary shaft yard. Jet fans are arranged in the transport roadways of the main shaft yard. Air ducts are led out from the axial flow fans and laid along the main tunnel wall, passing through the rigid air walls in the two transverse passages closest to the ventilation duct, and laid along the guide wall towards the smaller and larger mileage directions respectively. The main tunnel and the guide are arranged side-by-side. Rigid air walls are arranged in the ventilation duct and the two transverse passages closest to the ventilation duct. Temporary air doors are arranged in the two transverse passages closest to the ventilation duct. Linkage air doors are arranged in the two transport roadways of the auxiliary shaft yard.

This invention discloses a transmission trajectory method based on flow field smoothness. The method acquires wind field grid data of the target area, uses Gaussian smoothing to filter out high-frequency noise while preserving macroscopic flow characteristics, and improves the signal-to-noise ratio. Then, neighboring points are selected centered on the initial point, and a comprehensive weight is calculated using the inverse power of spatial distance and cosine similarity, thus doubly constraining the spatial proximity and wind direction consistency of neighboring points. The trajectory point position is dynamically predicted based on the weighted average wind speed vector of neighboring points, and spline interpolation is used to force the trajectory to be continuous and differentiable, eliminating abrupt changes at discrete points and generating a smooth and coherent transmission path. This method, through flow field smoothing, weight coupling, and dynamic iteration mechanisms, significantly improves the physical rationality and anti-interference capability of trajectory simulation, and is particularly suitable for the accurate prediction of large-scale cross-regional pollutant transport, providing reliable technical support for regional joint prevention and control and pollution control.

The invention relates to a mining area groundwater pollution condition evaluation method. The method comprises the following steps: acquiring data in multiple dimensions; pollution factors are extracted and marked in combination with a mining area dominant mining process and a mineral separation mode, core pollution factors are screened, and influence factors are given; performing standardized conversion on the original data set by adopting a space-time weighting algorithm, identifying and removing abnormal values, filling missing values based on Bayesian estimation, and constructing a standardized data set containing pollution factor time sequence features; establishing an evaluation model based on a solute transport model, and introducing a pollution diffusion comprehensive attenuation coefficient to correct the model in combination with a specific pollutant transport rule of a mining area so as to enable the model to adapt to pollution characteristics of different mining stages; and inputting the standardized data set into the corrected model, and evaluating a result. The scientificity and accuracy of mining area groundwater pollution assessment are remarkably improved, an accurate and quantitative decision-making basis can be provided for mining area pollution prevention and control, treatment and ecological restoration, and the method has high practicability and popularization value.

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.

A simulation method for pollutant transport, diffusion and concentration decay in a coastal current area, comprising: based on the historical observation data and flow system characteristics of the target sea area, a coastal current dynamic characteristic compensation function is constructed; ERA5 atmospheric reanalysis data and CMEMS global ocean reanalysis data of the target sea area are obtained, and the ERA5 atmospheric reanalysis data and the CMEMS global ocean reanalysis data are optimized and fused through the coastal current dynamic characteristic compensation function to obtain a refined driving field; a parent model covering the target sea area and the source area and path of the coastal current of the target sea area is constructed, and a dynamic downscaling simulation is completed; the measured data of the target sea area are obtained, the tidal current and the coastal current simulated by the sub-model are compared and verified with the measured data in a special and quantitative manner, and the model parameters are calibrated to reproduce the characteristics of the coastal current; the pollution source term is input into the verified sub-model, and the long-term transport, diffusion and concentration decay process of the pollutant under the joint action of the tide and the coastal current is simulated.

The invention belongs to the technical field of underground water pollutant migration simulation, and particularly relates to a microplastic migration simulation method based on a pore-matrix system, and the method comprises the steps: building a coupling control equation of a pore region and a matrix region; converting a semi-analytical solution of the model in the Laplace domain into a time domain solution through numerical inverse transformation to obtain a theoretical penetration curve; obtaining an actually measured penetration curve by combining the dynamic change data of the concentration of the micro-plastic measured by the experiment; key parameters such as a pore dispersion coefficient, a diffusion coefficient, an adsorption rate and a desorption rate are determined through fitting optimization; and finally, predicting the migration rule of the microplastics in the pore-matrix system based on the optimal parameter combination. Accurate simulation of complex migration behaviors of micro-plastic particles in a pore-matrix system is achieved for the first time, the technical problem that a traditional solute migration model cannot represent a specific pore-matrix interface exchange mechanism of micro-plastic is solved, and an effective quantification tool is provided for underground water micro-plastic pollution risk assessment.

The application provides a movable smoke collecting device of a crown block, which comprises a cuboid support arranged on a bridge of a crown block moving device, the cuboid support comprises an upper quadrilateral ring, a lower quadrilateral ring and first vertical columns connecting corresponding four corners of the upper quadrilateral ring and the lower quadrilateral ring, the movable smoke collecting device of the crown block is arranged below an existing smoke exhaust hood, thus avoiding that the existence of the crown block hinders the pollutant transport path and leads to a large amount of pollutant escaping and a rapid reduction of the exhaust efficiency, the first gear transmission mechanism and the second gear transmission mechanism are arranged above and below the cuboid support respectively, the expansion and contraction of upper and lower opening and closing plates can be controlled according to specific needs, the device has a certain flexibility, the purpose of improving the exhaust efficiency is achieved, the working process is not disturbed, and the technical problems of the prior art, i.e. the existence of the crown block hinders the pollutant transport path and leads to a large amount of pollutant escaping and a rapid reduction of the exhaust efficiency, are solved.

The invention relates to the technical field of disaster risk management, in particular to an open pit coal mine closed pit disaster multi-dimensional evaluation and prevention system which comprises a data acquisition module, a data analysis and processing module, a disaster prediction and early warning module and a prevention measure recommendation module. By collecting multi-source heterogeneous data such as geological structures, hydrological conditions and environmental influences, key disaster-inducing factors are identified, and a disaster development area is delineated; constructing a multi-field coupling numerical model coupling an underground water seepage field, a rock-soil stress field and a pollutant transport field, and predicting a disaster evolution trend; and carrying out space matching and economic optimization in combination with the dynamic risk distribution map to generate an accurate prevention scheme. The system has the capabilities of full-process automation, multi-disaster coupling simulation and intelligent measure recommendation, and is suitable for mine closed pit treatment and disaster early warning scenes.

The invention discloses an estuary delta composite water network communication evaluation and restoration method, which comprises the following steps of: accurately describing a composite water network comprising various elements such as a natural river channel, an artificial channel, a reservoir, a gate dam, a pump station, a wetland and the like and a complex connection relationship thereof, and dynamically considering the dynamic change of a water flow direction and the operation state of an artificial facility; connectivity evaluation of the composite water network under different hydrological scenes and scheduling schemes is realized, customized evaluation indexes oriented to different management targets such as water resource transportation efficiency, ecological corridor effectiveness, pollutant transportation and diffusion capability, flood storage and discharge capability and the like are provided, and a quantitative connectivity evaluation result is generated; and scientific decision support is provided for ecological restoration.