22 results about "Water quality modelling" patented technology

The invention relates to the technical field of water quality simulation, in particular to a river network water quality simulation method and system based on a cloud platform. The method comprises the following steps: obtaining river network basic data, river channel section data, river channel topographic data, water quality monitoring data and water level flow data, and constructing a river network hydrodynamic model according to the river network basic data, the river channel topographic data and the river channel section data, determining water quality component categories according to the river network hydrodynamic model in combination with the water quality monitoring data and the water level flow data, and constructing a preliminary coupling model; performing water quality initial field determination processing on the preliminary coupling model according to the water quality monitoring data to obtain a water quality initial concentration field model; and performing Nash efficiency coefficient-based model calibration and precision evaluation processing on the water quality initial concentration field model to obtain a hydrodynamic water quality coupling model. The invention provides a dual interpolation algorithm combining an inverse distance weighting method and time sequence data correction, and effectively solves the problem of insufficient precision of a traditional initial field determination method.

A water quality simulation method for plant-network-river integrated water supply, comprising steps such as river channel water source simulation, dynamic analysis of the quality of water from a water sampling point, construction of a model for predicting the quality of water in a water supply pipe network, data interface development, one-dimensional simulation of hydrodynamics and water quality in a pipe network, and integrated model integration and automation. In the method, open-source software OpenFOAM and EPANET-MSX can be used to achieve continuous simulation and real-time update of water quality and hydrodynamic parameters from a river channel to a water supply pipe network by means of an automated script and data interface. The model integrates the treatment effects of water quality purification plants, and the water quality purification plants are simplified into processing nodes on a pipeline system, thereby ensuring the authenticity and accuracy of simulation results. The present method is easy to operate and implement, and allows for automatic generation of a water quality parameter time-series plot, thereby greatly improving simulation efficiency. Water supply enterprises and water conservancy departments can use the method to establish a water supply quality information management system, perform long-time series prediction, optimize daily management and maintenance, and formulate water quality safety guarantee measures, and the method has significant practical value and wide application prospects.

The application discloses a gravity flow drainage pipe network dynamic water quality simulation and prediction coupling model method, belongs to the field of intelligent water management, and particularly relates to dynamic water quality transformation simulation and prediction in a gravity flow drainage pipe network. The application discloses a gravity flow drainage pipe network dynamic water quality simulation and prediction coupling model method, belongs to the field of intelligent water management, and particularly relates to dynamic water quality transformation simulation and prediction in a gravity flow drainage pipe network. The application discloses a gravity flow drainage pipe network dynamic water quality simulation and prediction coupling model method, belongs to the field of intelligent water management, and particularly relates to dynamic water quality transformation simulation and prediction in a gravity flow drainage pipe network. The application discloses a gravity flow drainage pipe network dynamic water quality simulation and prediction coupling model method, belongs to the field of intelligent water management, and particularly relates to dynamic water quality transformation simulation and prediction in a gravity flow drainage pipe network. The application discloses a gravity flow drainage pipe network dynamic water quality simulation and prediction coupling model method, belongs to the field of intelligent water management, and particularly relates to dynamic water quality transformation simulation and prediction in a gravity flow drainage pipe network.

The present application relates to a kind of determination methods of comprehensive degradation coefficient of pollutant, comprising: the comprehensive degradation coefficient of pollutant K is divided into the K0 obtained by laboratory simulation, and the influence coefficient K1 generated by neglecting part of point, surface pollution source;Calculate the preliminary K value;Get the value of K0;Calculate the preliminary K1 value;The value of coefficient a, b of preliminary K1 value is obtained using least square method;The value of coefficient a, b of rating completion is obtained;According to the value of coefficient a, b of rating completion, the value of K1 is obtained, and the final K value is obtained in combination with the value of K0.The present application considers the specific situation in actual river on the basis of laboratory simulation method, makes up the deficiency that laboratory simulation method does not fully consider actual;The present application uses the method that least square method and steepest descent method are combined in the process of parameter rating, improves the convergence speed of parameter rating and the precision of water quality simulation.

An integrated hydrodynamic and water quality simulation method for water supply systems of water treatment plants, pipe networks, and rivers includes steps of river water source simulation, dynamic analysis of water quality at the water intake, construction of a water supply pipe network water quality prediction model, data interface development, one-dimensional pipe network hydrodynamic and water quality simulation, and integrated model integration and automation. The method can utilize open-source software, and through automated scripts and data interfaces, realize the continuous simulation and real-time update of water quality and hydrodynamic parameters from rivers to water supply pipe networks. The model integrates treatment effect of water treatment plants, which are simplified as treatment nodes in the pipeline system, ensuring the authenticity and accuracy of simulation results. This method is not only easy to operate and implement, but also can automatically generate time-series graphs of water quality parameters, significantly improving simulation efficiency.

The present application belongs to the technical field of hydrodynamics and environmental engineering, and provides a kind of simulation method for water quantity and quality of piedmont plain type town area considering rainwater grate diversion, and the main steps include: basic database construction, catchment unit division, rainwater grate determination, drainage channel generalization and key process numerical calculation.The present application considers the influence of surface runoff velocity and terrain slope on rainwater grate diversion, corrects and establishes the diversion calculation formula of different types of rainwater grates, improves the accuracy of rainwater grate diversion calculation, and overcomes the subjective definition of hydraulic connection between surface runoff and drainage network in traditional method;At the same time, the present application considers the function of piedmont plain city land distribution, establishes a surface catchment unit division method based on landscape pattern, can accurately represent the influence of hydraulic connection between land use types, microtopography and other factors on surface runoff and pollution output, and overcomes the subjectivity and singleness of traditional methods such as thiesen polygon and road cutting method.

The invention belongs to the field of water environment monitoring and management, and particularly relates to an urban and rural river dynamic water environment capacity prediction method. The method comprises the following steps of 1, performing high-precision rainfall forecasting and spatial downscaling according to multi-source data fusion; 2, dividing river dynamic control units according to water quality categories and control sections; 3, a multi-process coupling model is constructed based on historical monitoring data, and parameters are calibrated; 4, hydrodynamic water quality spatial and temporal distribution is predicted according to rainfall forecast drive in the step 1; and 5, dynamically determining the water environment capacity day by day according to a control section water quality target. According to the method, through full-chain coverage of rainfall forecasting, water quality simulation, capacity calculation and management and control decision, the river chief system assessment section is directly supported to reach the standard, the accuracy of water environment capacity calculation can be improved, a scientific basis can be provided for water environment treatment, and urban ecological construction and environmental protection are promoted.

The invention discloses a water quality migration and transformation simulation method, system and equipment based on a multi-medium process and a medium, and relates to the technical field of water environment simulation. The method comprises the following steps: constructing a sluice control river reach water quality multiphase conversion model; the sluice-controlled river reach water quality multiphase conversion model comprises a hydrodynamic model considering a sluice scheduling effect and a water quality multiphase conversion model; wherein the hydrodynamic model is used for calculating hydrodynamic parameter values of the gate control river reach; the water quality multiphase conversion model is used for simulating a migration conversion process of water quality on a medium interface; and simulating the water quality migration and transformation process of the sluice-controlled river reach based on the sluice-controlled river reach water quality multiphase transformation model to obtain a water quality concentration temporal and spatial change result, and performing parameter calibration and verification by using the actually measured observation data of the sluice-controlled river reach. According to the invention, complex interaction and phase transformation among multiple media such as water, suspended solids, bottom mud and organisms can be comprehensively considered, and the accuracy of water quality simulation of the sluice-controlled river reach is improved.

The present application relates to a method, device and storage medium for quickly updating a SWMM drainage network model based on survey data, and belongs to the field of hydrological and water quality simulation of urban pipe networks. The method comprises: obtaining an inp file of an existing SWMM drainage network model and converting it into a file a in geojson format; obtaining an SHP layer file containing updated pipe network data information after the survey and converting it into a file b in geojson format; merging file a and file b into a file c in geojson format, and marking the existing pipe network and the newly added pipe network in file c respectively; updating the parameter settings of the SWMM model elements in file c; saving file c as an inp file format of the SWMM model to complete the update of the model. The method proposed in the present application can help technicians to quickly update the pipe network survey data to the existing SWMM drainage network model in an automated manner, thereby greatly improving the work efficiency when updating the pipe network model, significantly reducing the chance of human error, and improving the accuracy of the update results.

The invention belongs to the technical field of hydrodynamics and environmental engineering, and provides a mountain-front plain type town area water quantity and water quality simulation method considering rainwater grate diversion, which mainly comprises the steps of basic database construction, water catchment unit division, rainwater grate determination, drainage channel generalization and key process numerical calculation. According to the method, the influence of the surface runoff flow velocity and the terrain gradient on rainwater grate diversion is considered, diversion calculation formulas of different types of rainwater grates are corrected and established, the accuracy of rainwater grate diversion calculation is improved, and the defect that a traditional method subjectively defines the hydraulic connection between surface runoff and a drainage pipe network is overcome; meanwhile, the function presentation of mountain-front plain city land class distribution is considered, a landscape pattern-based earth surface catchment unit division method is established, and the influence of factors such as hydraulic connection and microtopography between land classes on earth surface convergence and pollution output can be accurately represented; and subjectivity and singleness of traditional methods such as Thiessen polygon and road cutting methods are overcome.

The invention discloses a water quality simulation and prediction method, which comprises the following steps: collecting data of a target detection area, preprocessing the data, and constructing a training data set; the training data set is used to train the Transform deep learning model; predicting a key hydrological parameter sequence of a future time period by using the trained Transform deep learning model; and simulating the water quality of the target water area by using an EFDC model based on the key hydrological parameter sequence and the water quality measured data. The reliability of water quality simulation is improved, and more scientific and accurate decision support is provided for water environment management.

This invention provides a water quality prediction method, apparatus, and equipment that integrates remote sensing inversion and hydrodynamic modeling, relating to the field of water quality prediction technology. The method includes: inverting data based on satellite remote sensing data at an initial time to obtain pollutant concentration and water depth inversion values, used to set the initial operating conditions of the hydrodynamic model; running the hydrodynamic model at the current time to perform water quality simulation, obtaining time-series pollutant concentration and water depth predicted values; inverting data based on satellite remote sensing data at time k to obtain new pollutant concentration and water depth inversion values; performing assimilation processing to obtain assimilated pollutant concentration and water depth values; if it is determined that hydrodynamic model optimization should continue, updating the initial operating conditions of the hydrodynamic model using the assimilated values, re-running the hydrodynamic model for water quality simulation, until it is determined that model optimization and water quality simulation should be stopped, obtaining the time-series water quality prediction result. This invention can effectively improve the accuracy of pollutant simulation using hydrodynamic models.

The application discloses a rice-shrimp breeding area tail water comprehensive utilization simulation method and system based on digital twinning, and particularly relates to the technical field of digital twinning and computer simulation, which is used to solve the problem of systematic cognitive bias in simulation results caused by relying on mathematical speculation when the existing digital twinning model simulates a large number of unmonitored data areas in the rice-shrimp breeding area; by obtaining monitoring data and physical topological structure, the simulation area is divided and the key data blank sub-area is identified; then the potential contribution of the state change of each key area to the downstream monitoring data and the monitoring data change difference caused under different hydraulic paths are calculated; the simulation uncertainty level of each key area is evaluated according to the above analysis results; finally, the water quality simulation calculation strategy of the corresponding area in the digital twinning model is adjusted based on the level, and the model is run to output the tail water comprehensive utilization simulation result; the reliability of the overall simulation result and the scientificity of the decision support are improved.

The invention discloses a city update planning method and device, a medium and equipment, and relates to the technical field of city planning, and the method comprises the steps: obtaining water quality simulation data of a to-be-detected region, inputting the water quality simulation data to a rainstorm flood management model SWMM for water quality simulation, and obtaining an effect value of a water quality theoretical state under a current development condition; obtaining a water quality control target value, pollution source intensity and a runoff coefficient of the to-be-detected area; comparing the effect value of the water quality theoretical state with a target value of water quality management and control, and when the effect value is greater than the target value and for a region with a planning demand, updating the pollution source intensity and the runoff coefficient of the to-be-detected region, and combining water quality simulation data according to the updated pollution source intensity and the runoff coefficient, so as to obtain the water quality management and control result. And performing simulation of the rainstorm flood management model SWMM again, determining the updated effect value until the updated effect value is smaller than or equal to the target value, and obtaining a final urban update planning scheme.

The application provides an intelligent interception method, device, storage medium and program product for rainfall runoff. The method comprises the following steps: obtaining rainfall forecast data of a target area, calling a rainfall type discrimination module, discriminating and processing the rainfall forecast data, and generating target rainfall type data; determining a target time grouping of the rainfall forecast data, calling a water quality simulation database, and matching the target rainfall type data and the target time grouping with the water quality simulation database, so as to obtain a target interception time and a target interception water volume, and intelligently intercepting the rainfall runoff according to the target interception time and the target interception water volume. The method improves the interception efficiency of the urban drainage system, realizes accurate interception of the rainfall runoff with high pollution value, improves the interception response capability of the urban drainage system by continuously optimizing the interception strategy, is suitable for the formulation of the interception strategy under different rainfall conditions and time changes, and reduces the water pollution risk.

The application relates to the technical field of water quality simulation, in particular to a river network water quality simulation method and system based on a cloud platform. The method comprises the following steps: acquiring river network basic data, river section data, river terrain data, water quality monitoring data and water level flow data, constructing a river network hydrodynamic model according to the river network basic data, the river terrain data and the river section data, determining water quality group classification according to the river network hydrodynamic model in combination with the water quality monitoring data and the water level flow data, and constructing a preliminary coupling model; performing water quality initial field determination processing on the preliminary coupling model according to the water quality monitoring data to obtain a water quality initial concentration field model; performing model calibration and precision evaluation processing on the water quality initial concentration field model based on a Nash efficiency coefficient to obtain a hydrodynamic water quality coupling model. The application proposes a double interpolation algorithm combining the inverse distance weighting method and time series data correction, effectively solving the problem of insufficient accuracy of the traditional initial field determination method.

The application relates to a quantitative simulation method for water quality response of a target water body under different inflow and outflow scheduling scenarios based on an IWIND-LR model, and belongs to the technical field of water resource management. The method comprises the following steps: establishing a hydrodynamic-water quality-ecological model of the target water body based on an IWIND-LR model; adjusting a momentum equation, a water quality equation and an algae equation in the model based on the hydrodynamic and water quality mechanism processes corresponding to the inflow and outflow scheduling, specifically comprising adding an inflow flow term and an outflow flow term in the momentum equation, adding an inflow water quality term and an outflow water quality term in the water quality equation, and adding an inflow algae term and an outflow algae term in the algae equation, so as to quantitatively express the influence of the inflow and outflow on the hydrodynamic and water quality processes of the target water body; coupling the adjusted momentum equation, water quality equation and algae equation with a hydrodynamic-water quality-ecological simulation framework of the IWIND-LR model, generating an inflow and outflow scheduling model of the target water body through boundary condition setting, specifically comprising rebuilding a gridded hydrodynamic simulation module, a gridded water quality simulation module and a gridded ecological simulation module based on the adjusted equations, and coupling based on the simulation framework of the IWIND-LR model; formulating an inflow and outflow scheduling scenario scheme; simulating the different inflow and outflow scheduling scenarios through the inflow and outflow scheduling model, and generating water quality response simulation results of the target water body under each scheduling scenario. The method described in the application can realize quantitative simulation of water quality response of the target water body under different inflow and outflow scheduling scenarios, and provide scientific support for managers to formulate scheduling strategies.

A kind of iron concentration prediction method based on water supply pipeline wall layered structure and automatic calibration, comprising: integrated pipeline hydraulic model, iron concentration release model and microscopic electron microscope layered observation result, construct pipe network iron concentration layered multi-species reaction model, simulate the migration and transformation of iron ions between corrosion base layer, loose porous layer, hard shell layer and surface layer;Multi-objective comprehensive error function is constructed, and the difference between simulation result and observation data is evaluated;Three-stage differential evolution calibration is executed: the model is used as water quality simulation engine, the comprehensive error function is used as optimization target, and the model parameters are optimized by iteration method;First stage global search locates advantage area, second stage local optimization, third stage fine tuning, and after each stage ends, the subsequent parameter search boundary is dynamically contracted based on optimal solution and boundary tightening coefficient;Iron concentration spatiotemporal distribution prediction is output.The method of the application realizes high-precision prediction of complex pipe network iron concentration and efficient automatic calibration of model parameters.

The invention discloses a drainage basin water quality simulation and scene deduction method and system based on digital twinning, and relates to the technical field of drainage basin water quality management. Constructing an initial digital twinborn body framework; continuously injecting real-time data into the initial digital twinborn body, and carrying out model training and parameter optimization operation to obtain a digital twinborn model; an interactive scene deduction mechanism is introduced, and the future change trend of the drainage basin water quality under different intervention scenes is simulated based on a digital twinborn model; calculating water quality conditions of each control section of the watershed under different intervention scenes; key abnormal parameter data are found out through a comparison judgment module in combination with the future change trend of water quality, and a water quality regulation scheme is formulated. According to the method, the consistency of the physical drainage basin and the virtual drainage basin is realized through the multi-source data, pollution diffusion is presented in a visual form through the digital twinborn model, multi-scene comparison is supported, and the accuracy of water quality simulation and decision scientificity are further improved.

This invention discloses a digital acceptance method for water-resilient infrastructure based on multi-source data, integrating multi-source data such as UAV oblique photogrammetry, real-scene 3D models, DEM, DOM, hydrological and water quality simulation data, vegetation index, and socio-economic benefit indicators. By constructing a real-scene 3D model, digital terrain comparison is performed; by integrating GIS and PCSWMM models, the layout acceptance, hydrological and water quality simulation, and effectiveness assessment of water-resilient infrastructure are achieved; based on DEM and model output data, combined with Python simulation of urban flooding processes, urban flooding safety risk acceptance is achieved; and multi-source remote sensing and 3D models are used for ecological function diagnosis and comprehensive benefit calculation of water-resilient infrastructure. This invention, by constructing a full-process digital acceptance model covering water safety, water environment, and water ecology, replaces the traditional method relying on manual experience and discrete measurements, achieving objectivity, accuracy, and intelligence in the acceptance work, and improving the scientific rigor and reliability of water-resilient infrastructure project acceptance.

The invention discloses a Yellow River ice condition and water quality coupling simulation method and system, and relates to the field of hydraulic engineering simulation, and the method comprises the following components: S1, physical entity layer construction, S2, data acquisition and transmission, S3, digital twinborn layer construction, and S4, application interaction. The physical entity layer comprising a hydraulic mechanical entity, an ice condition physical field and a water quality physical field is constructed, data are collected in real time in combination with multiple types of sensors, encryption transmission is performed by using a 5G / Beidou dual-mode communication technology, the real-time performance and accuracy of the data are ensured, and a digital twinborn body layer is provided with an ice condition physical field and a water quality physical field. A Kalman filtering algorithm is adopted to carry out fusion processing on data, data noise is effectively eliminated, a standardized model input data set is generated, particularly, dynamic coupling simulation is introduced, and dynamic correlation of hydraulic machinery operation parameters, ice condition parameters and water quality parameters is achieved by establishing a coupling correlation matrix; and the precision and reliability of ice condition and water quality simulation are obviously improved.

The utility model relates to a water meter water quality simulation sampling device, including the water storage tank, water pump, filter, meter clamping mechanism, flow indicating mechanism that are connected in proper order along the water body flow direction from front to back through pipeline, be provided with meter clamping station on the meter clamping mechanism, and be provided with the water inlet sampling mouth in the front of meter clamping station, and the back of meter clamping station is connected with the first water outlet sampling mouth and flow indicating mechanism in parallel, the rear end of flow indicating mechanism is provided with the second water outlet sampling mouth. This water meter water quality simulation sampling device is used to simulate user field use environment, realizes water sample extraction in water meter inside. The water meter water quality simulation sampling device is convenient and good to use, avoids the water sample of water meter to be affected by uncontrollable factor in the sampling process, can restore user water condition, can be used as important equipment when user water meter over meter water quality research.