206 results about "Catchment area" patented technology

The invention discloses a wind, light and water resource element simulation method and device for optimizing key parameters of a confluence mode. The method comprises the following steps: acquiring a river network database and gridded hydrotopographic data, and interpolating the gridded hydrotopographic data to a refined confluence grid with a target resolution to obtain interpolated elevation data; according to the altitude data, the flow direction data and the cumulative flow after interpolation, determining vector data of a river network center line and a water collection area boundary, segmenting the river network according to the Strahler river level, and determining river reach of different Strahler levels; inputting the vector data of the central line of the river network and the boundary of the water collecting area into a pre-established river network confluence model, and simulating by adopting different Manning coefficients for river reaches with different Strahler levels to obtain simulated flow; and through a dynamic dimension search algorithm, the Manning coefficients of the river reaches with different Strahler levels are optimized respectively, so that the objective function is minimum.

The invention discloses a pollution traceability analysis method based on a topological relation of a drainage pipe network, and the method comprises the steps: collecting drainage pipe data information in a project region, and generating a drainage pipe database; the pipeline database is imported into a general survey platform, a pipe network topological graph is generated, and inspection and correction of the pipe network topological relation are completed; according to a pipe network topological graph, catchment area division is carried out on a project area, monitoring and point distribution are carried out based on the thought of whole-process treatment and prevention and control of discharge ports, pipe network important nodes and drainage households, and on-line monitoring, early warning and pollution tracing are carried out on a drainage pipe network. According to the method disclosed by the invention, by establishing the topological graph of the drainage pipe network, carrying out monitoring and point distribution, and carrying out online monitoring, early warning and pollution tracing on the drainage pipe network, the phenomena of mixed connection of rain and sewage, incomplete diversion of rain and sewage, stealing and leakage of residential areas and enterprises and the like of the drainage pipe network can be found in time, 24-hour real-time monitoring and early warning are realized, and a monitoring and supervision linkage quick response mechanism is established; and normalized monitoring of sewage entering the river is realized.

The invention discloses an urban inland inundation optimization transformation method and system based on a pipe network earth surface coupling hydrodynamic model, and the method comprises the steps: firstly generalizing a pipeline and a catch basin, constructing a pipe network confluence model according to a pipe network hydrodynamic method, then dividing a sub-catchment area according to a river network flood routing method, building an urban comprehensive drainage model through the sub-catchment area, and carrying out the optimization transformation of the urban inland inundation. Then establishing a surface runoff model by using a surface flood routing method and a Horton penetration method; according to the system, the function of accurately and efficiently simulating the urban inland inundation process is achieved, urban rainwater circulation is completely simulated, an urban drainage pipe network and a river channel model are integrated, and the interaction between an urban drainage system and a ground surface storage water body is truly simulated; and necessary support is provided for disaster situation rehearsal and rainwater engineering planning and layout, so that urban inland inundation points can be removed in advance, influences on production and life of people are avoided, and the method is suitable for being widely popularized and used.

The invention discloses a dynamic DEM spatial interpolation method which comprises the following steps: performing depression filling, flow direction analysis and confluence cumulant calculation on DEM data, and extracting a natural sub-basin unit by adopting a minimum catchment area threshold method; constructing a topographic feature matrix, performing refined second-level classification on the first-level drainage basin through an improved self-organizing mapping network, generating a hydrological response unit through boundary processing, and establishing a hydrological attribute library; fusing multi-source data, supplementing attribute interpolation such as underlying surface and rainfall, and constructing an interpolation auxiliary parameter system; a drainage basin is divided into regular grids as neurons, a dynamic neural network containing dynamic states and static attributes is constructed, and nonlinear mapping of DEM correction parameters is achieved through optimization of a dynamic activation function and a loss function. The method overcomes the defects that a traditional interpolation algorithm does not consider hydrological boundary constraints, a neural network model topological structure is fixed and the like, and the DEM interpolation precision and the hydrological simulation effect of the complex terrain area are improved.

The invention discloses a waterlogging risk early warning threshold calculation method and system based on multi-source data analysis, and relates to the technical field of big data analysis and risk early warning, and the method comprises the steps: obtaining the multi-source data of a to-be-analyzed target disaster-bearing body; generating a target disaster-bearing body elevation model containing the building height information according to the building height information and the surrounding area elevation model data so as to analyze a surrounding runoff path of a target disaster-bearing body; correcting a surrounding runoff path according to the surrounding area satellite image to determine a corresponding disaster-bearing body catchment area and a disaster-bearing volume water area; calculating a rainfall ponding relation of the target disaster-bearing body; and acquiring a ponding height threshold value for the disaster-bearing volume water area, and calculating a rainfall early warning threshold value of the waterlogging risk corresponding to the target disaster-bearing body according to the ponding height threshold value and the rainfall ponding relationship. Therefore, personalized rainfall early warning thresholds for different disaster-bearing bodies are obtained through fine-grained analysis, and more accurate decision support is provided.

The invention relates to the field of flood forecasting, and discloses a flood forecasting method and system, a storage medium and computing equipment, and the method comprises the steps: topological modeling: taking a river catchment area surrounded by a water diversion line and a catchment area outlet hydrometric station as nodes of a graph, constructing a connection relation of edges according to the actual flow direction of a river and the connection relation of branches, and carrying out the topological modeling; therefore, topological graph structure data adaptive to a hydrological mechanism is constructed; converting month number characteristics, generating a dynamic periodic timestamp vector, splicing the dynamic periodic timestamp vector with topological graph structure data, and inputting an attention neural network for training; the attention neural network architecture comprises two independent feature channels which are used for processing historical data and forecast data respectively, the network supports a variable modular architecture, and a flood forecast result can be output according to needs after a model is trained. According to the method, the flood prediction precision and interpretability are improved, and a high-precision and interpretable space-time joint flood prediction scheme is realized.

The invention discloses a port rainfall runoff simulation and waterlogging forecasting method and system based on an SWMM, so as to help to improve the drainage capacity of a port area and reduce flood disasters, and the method comprises the following steps: 1, dividing simulation area sub catchment areas by using a Thiessen polygon method in ArcGIS, adjusting according to actual conditions, and exporting as an inp format; 2, setting basic parameters of the SWMM, such as rainfall recurrence period, sub catchment area parameters and the like; the SWMM model is operated, and nodes and pipe channels which are prone to overload are recognized; 3, the rainfall recurrence period is adjusted, and the maximum bearable rainfall intensity of the area is determined; and 4, LID facilities are selected for layout, an optimization algorithm is used for solving to obtain an optimal solution, and the waterlogging problem is relieved or solved. According to the method, the dynamic rainfall process is simulated based on the SWMM model, the waterlogging risks in different rainfall recurrence periods are evaluated, the waterlogging is relieved by optimally arranging the LID facilities, and support is provided for optimal management of a port drainage system.

The invention belongs to the technical field of traffic geographical environment safety risk prediction, and particularly relates to a railway line gully catchment surface disaster prediction analysis method based on a three-dimensional geographical scene, and the method comprises the following steps: S1, preliminarily delineating a monitoring range; s2, environment monitoring sensing equipment is installed; s3, collecting key index information of the drainage system; s4, acquiring three-dimensional geographic model data; s5, processing the acquired data; s6, calculating and analyzing the ground elevation and area of the monitoring area; s7, simulating rainfall and calculating total rainfall; s8, calculating the total rainwater convergence amount; s9, performing active flooding analysis on the terrain elevation model; s10, calculating and analyzing the specific position of the catchment surface and catchment area and volume parameters changing along with time; and S11, predicting and evaluating possible catchment surface disasters. The technical problems of insufficient real-time performance, high data acquisition cost, complex operation and high calculation difficulty in the prior art can be solved, and the method has a relatively good market application prospect.

The invention discloses a hydraulic runoff modeling method capable of reducing dimensions and simplifying, electronic equipment and a storage medium, and belongs to the technical field of water environment engineering. In order to improve the efficiency of urban hydraulic runoff modeling, the method comprises the following steps: acquiring rainfall time sequence data, raster data of an underlying surface digital elevation model (DEM) and underlying surface land utilization data; dividing and constructing a square grid, four vertex positions of each square grid, and a plane coordinate value and an elevation value at the geometric center of each square grid; model simplification topology construction is carried out, simulation inspection well nodes, simulation pipe duct connection and simulation sub catchment area polygons are constructed based on an SWMM model, and all simulation sub catchment area polygons are associated with the simulation inspection well nodes located in the centers of the simulation sub catchment area polygons; the method comprises the following steps: calculating runoff of each grid, calculating runoff of each grid, taking rainfall time sequence data as input of an SWMM model, constructing an SWMM simulation rain gauge, constructing an SWMM rainfall flood model, and calculating to obtain real-time dynamic simulation water quantity and water depth data in each grid. The simulation calculation efficiency is improved.

The invention discloses an urban rainstorm waterlogging rapid simulation method based on a deep convolutional neural network, relates to the field of urban waterlogging management, and solves the problem that the judgment of the urban waterlogging prevention capability is inaccurate due to the fact that the current urban waterlogging prevention capability is generally obtained according to the urban water supply and drainage capability and the historical peak rainfall condition. The method comprises the steps that a catchment area corresponding to a target city is set according to a city design drawing, and catchment grids corresponding to the catchment area are divided based on the catchment area; a height-area curve corresponding to the catchment area is constructed according to the catchment grid, and an overflow model corresponding to the catchment area is constructed based on the height-area curve and improved; the result is simulated and recognized through the improved overflow model, then the result is compared with a historical actual value, and the precision condition of the improved overflow model is judged; real-time rainfall data is obtained and imported into the improved overflow model, the simulated submerging conditions of different catchment grids in the target city are obtained, and accurate simulation of urban rainstorm waterlogging is achieved.

The invention discloses a rainstorm ground waterlogging prediction method, device, equipment and product, and relates to the technical field of urban waterlogging prediction.The rainstorm ground waterlogging prediction method comprises the steps that ephemeris and ground observation station data are obtained, the atmospheric moisture delay amount and the high-altitude water vapor conversion factor are calculated respectively, the historical water vapor content is calculated, and the future atmospheric precipitable water amount is predicted; rainfall time distribution data are obtained through rainstorm intensity decomposition; calculating the rainwater overflow amount of the catchment area in combination with the water discharge amount time distribution data of the urban drainage pipe network; and iterative calculation is carried out by using a digital elevation model grid to obtain the waterlogging depth, and waterlogging early warning information is sent out. By constraining the total rainfall amount, the rainfall amount can be effectively constrained by predicting the precipitable water amount based on the satellite ephemeris; the underground pipe network drainage is restrained, and a water flow condition in a pipe channel is simulated by adopting an SWMM model; and finally, the waterlogging accumulated water volume is calculated, constraint verification is carried out on each link of urban waterlogging, and relatively high precision and relatively long timeliness are ensured.

The invention discloses a submerged water depth rapid calculation method and system based on multi-layer grid superposition analysis, and belongs to the technical field of flood risk analysis. The method comprises the following steps: constructing a meteorological grid, a catchment area grid and a hydrodynamic model grid; using an intersection area between the meteorological grid and the catchment area grid as a distribution weight, and obtaining real-time rainfall data to calculate rainfall distributed on a catchment area unit; and calculating the maximum submerging water depth of the grid unit of the hydrodynamic model by using the superposition relationship between the grid of the catchment area and the grid of the hydrodynamic model and the rainfall distributed on the unit of the catchment area. According to the method, a distributed database and a parallel computing technology are combined, a decoupling interpolation method based on static-dynamic variables is provided, and a result relatively consistent with a professional model is provided in a short time; through organic combination of overlay analysis, a distributed database and parallel calculation, accurate calculation of complex data analysis and simulation is realized, and the capability of quick response is ensured.

The invention discloses a watershed sediment connectivity evaluation method based on an MATLAB platform and considering relative surface roughness. The method comprises the following steps: acquiring digital elevation model (DEM) data of a target watershed; obtaining a digital elevation model DEMF after depression filling based on the DEM; calculating a flow direction matrix FD; calculating a catchment area A of a catchment area above each DEM cell, and extracting water system position vector data S; calculating a surface roughness factor RRF and a surface undulation factor SLF based on the DEMF, and generating a surface relative roughness factor RRSF; calculating a weighted confluence path length DISTW based on the FD and the RRSF; calculating a sediment'source 'component Dup and a sediment'sink' component Ddown based on A, S, DISTW and FD; and calculating a connectivity index RIC of the target drainage basin based on the Dup and the Ddown. According to the method, the influence of micro-topography evolution of the erosion-driven drainage basin on the sediment connectivity can be more comprehensively represented.

The invention provides a quantitative risk assessment method and system for an ice rock collapse-river blockage-dam break flood disaster chain. The method comprises the following steps: acquiring an ice rock collapse risk grade index by adopting a BP neural network improved by an Adam optimizer; if the ice rock collapse occurs, correcting and calculating an ice rock collapse movement path based on a D8 algorithm in combination with a rock-soil friction coefficient, correcting the volume in real time through an erosion-accumulation dynamic balance model, and constructing a river blocking risk grade index in combination with the river entering volume and speed; the stability of the dam body is evaluated through a dynamic catchment area model and a Sigmoid function, and the dam break risk is calculated in combination with the ratio of the volume to the area; and if the dam break disaster does not occur in the barrier dam, integrating the ice rock collapse risk grade, the river blocking risk grade and the dam break risk grade index, and evaluating the comprehensive risk of the disaster chain. According to the method, disaster prediction of each stage is realized through neural network improvement, path optimization analysis and variance tracking change, and comprehensive risks are evaluated through multi-element coupling.

To provide a prediction system for easily predicting river water levels. [Solution] The water level prediction system, which predicts future water levels at a prediction point on a river, comprises a rainfall acquisition unit 1 that acquires future rainfall in the catchment basin for the prediction point, a memory unit 2 that stores parameters of a first-order lag system that inputs rainfall and outputs the water level at the prediction point on the river, and a water level prediction unit 3 that inputs rainfall acquired by the rainfall acquisition unit 1 and calculates the predicted water level at the prediction point on the river from the first-order lag system using the parameters of the first-order lag system stored in the memory unit 2, and the time constant of the first-order lag system is set according to the water level at the prediction point on the river.

The invention discloses an urban flood simulation and safety evaluation method, and belongs to the technical field of hydrological data processing and flood rehearsal. The method comprises the following steps: firstly, collecting DEM data of a to-be-processed range, performing projection depression filling preprocessing through ArcGIS software, calculating a flow direction and a flow rate, extracting a river network, and constructing a catchment area and a rainfall flood model; carrying out rainfall simulation and one-dimensional hydrodynamic force calculation by using SWMM software to obtain a river channel and node time sequence flow; then, the flow data are input into HEC-RAS software, two-dimensional hydrodynamic simulation is completed in combination with the terrain, and the flood inundation range and depth are obtained; finally, repeatedly simulating rainfall in different recurrence periods, and dividing flood risk areas according to indexes such as a water depth threshold value and a flooded area. According to the method, full-process automatic processing from rainfall input to flood routing is realized, the timeliness and precision of flood rehearsal are improved, and support is provided for disaster prevention and reduction decisions.

The invention relates to the technical field of urban area configuration, and particularly discloses a service area low-impact measure optimization method and equipment based on an SWMM model. According to the method, the rainfall flood management model of the target service area is constructed through the storm flood management model (SWMM), runoff response under the rainfall condition can be accurately simulated in combination with sub catchment area division and low-impact measure optimization, and compared with a traditional static design method, the low-impact measure design efficiency is remarkably improved, and the method has the advantages of being high in practicability and the like. Therefore, the waterlogging problem caused by the rainstorm in the urban service area is effectively relieved; according to the method, the efficiency coefficient is introduced as a quantitative index, iterative optimization is carried out through comparison with the preset threshold value, and it is ensured that the layout parameters of the low-influence measures can dynamically adapt to terrain, soil and rainfall characteristics of different service areas.

The invention provides a land suitability evaluation method for a placement area under a large height difference condition, and the method comprises the steps: obtaining topographic data and planning constraint elements of the placement area, recognizing topographic features based on an elevation threshold value, and screening an initial land unit through a first evaluation unit constructed by historical data and topographic parameters; decomposing the initial unit, identifying a high-risk area, and performing optimization adjustment by using a second evaluation unit when a risk exists to form a planning scheme; in implementation, the first evaluation unit is regularly corrected according to updated topographic data, and the remaining schemes are dynamically adjusted. The first evaluation unit and the second evaluation unit optimize a land use sequence through a dynamic programming algorithm, and the connection weight is determined by weighting calculation of factors such as gradient, geological stability, traffic accessibility, vegetation coverage and catchment area. According to the method, the scientificity and safety of site selection of the placement area of the large-height-difference area can be improved.

To support planning a drainage route in a road.SOLUTION: A road drainage planning apparatus 100 includes: drainage reference line setting means which sets drainage reference lines for a three-dimensional model of a road; section setting means which divides the drainage reference lines into sections for each of the type of a conduit; conduit arrangement means which sets drainage facilities for the sections of the drainage reference lines; basin arrangement means which arranges a catch basin or a branch basin in connections between the drainage reference lines; longitudinal alignment planning means which displays the longitudinal shape of the conduit, receives editing of the longitudinal shape from a user, and changes the longitudinal shape on the basis of the edited content; drainage outlet display means which displays, as drainage outlets, terminal positions of the flow in the drainage reference lines; watershed setting means which sets watersheds of rainwater flowing into the drainage facilities; outflow calculation means which calculates the outflow of the drainage facilities on the basis of conditions sets for the watersheds and outputs the calculation result; and longitudinal section drawing means which creates the longitudinal section of the conduit along the drainage reference lines.SELECTED DRAWING: Figure 1

The invention relates to a subway station waterlogging risk rapid assessment method based on system water balance, and the method comprises the following steps: S1, dividing a research region through terrain analysis and pipe network partitioning, and taking a catchment region where a subway station is located as an independent system; s2, calculating system inflow Wr by utilizing the designed rainstorm intensity and the comprehensive runoff coefficient; s3, calculating the system displacement Wp based on the design standard of the research area pipe network; s4, calculating the water accumulation amount Wj of the system through a water balance equation; s5, calculating system capacity W0 by means of terrain elevation data and a GIS tool; and S6, judging whether a waterlogging risk exists in the research area or not by comparing calculation results of the system water accumulation amount Wj and the system capacity W0. According to the method, rapid assessment of the metro station waterlogging risk at the initial stage is realized, the data requirement of metro station waterlogging assessment is reduced, and the required cost and time are reduced.

The invention relates to the technical field of catchment area division, and discloses a catchment area division method based on a big data perspective, and the method comprises the following steps: S101, obtaining and loading a DEM graph of a target research basin; step S102, dividing the DEM graph into t * t grids, and carrying out hydrological analysis operation on the T * t grids; and step S103, segmenting the target research drainage basin according to the result of the hydrological analysis operation in the step S102. According to the method, the traditional step of extracting the river network by using the DEM to generate the grid flow direction and the catchment area is changed, the digital real river-lake network is directly adopted, and the definition of the grid flow direction and the catchment unit division are assisted, so that the DEM depression filling pretreatment problem is solved more efficiently, more comprehensively and reasonably, and in addition, the method has the advantages that the method is simple and convenient to operate. And the size of the grid in the DEM graph is determined according to the specific condition of the target research drainage basin, so that the efficiency and the precision of dividing the catchment area can be effectively improved.

The invention provides a specific region unit boundary determination method and an ecological product value evaluation method. The method comprises the steps of obtaining DEM raster data and an initial boundary line of a target specific region unit; determining a streamline of water flow in the target specific region unit based on the DEM raster data; the streamlines are water flow paths and comprise streamlines; dividing the grid units on all streamlines of the same streamline outlet into the same water collecting area, and forming a water collecting area matrix by the divided water collecting areas; determining a plurality of observation points based on the initial boundary line; determining a vision field of each observation point in a target specific region unit based on DEM raster data, and forming a vision field matrix by each vision field; and determining the grid units in the intersection of the water collection area matrix and the vision field matrix as the boundary of the target specific region unit. According to the method, the boundary of the target specific region unit is initially determined through the streamline and the catchment area, and then the boundary is determined through vision field analysis, so that the accuracy of the boundary is greatly improved.

The application discloses a flood simulation method based on urban infrastructure and a device thereof, and the method comprises the following steps: collecting street view images of a city, wherein the street view images comprise street view data collected from different urban infrastructures at different angles and different times; classifying and processing the street view data according to the types of the infrastructures, and extracting urban infrastructure data; fusing the infrastructure data and terrain data of the city to obtain fused terrain data of the city; dividing catchment areas of the city based on the fused terrain data and extracting water system data, and establishing a flood simulation model based on urban infrastructure according to the water system data, so that the influence of urban street networks, fence systems, buildings and other infrastructures on urban flood processes is fully considered, the simulation accuracy of a city rainstorm flood model is improved, and urban flood disasters are reduced.

The invention discloses a CDOM prediction method based on a multi-source driving factor and a related device, and relates to the technical field of water environment governance, and the method comprises the steps: carrying out the training based on an actually-measured CDOM concentration value and a remote sensing monitoring image corresponding to the time-space of the actually-measured CDOM concentration value, and obtaining a trained CDOM inversion model, according to CDOM data obtained through long-sequence remote sensing monitoring image inversion and long-sequence CDOM inversion data, a trained CDOM prediction model is obtained through training on the basis of the long-sequence CDOM inversion data and historical multi-source driving factors, and the CDOM prediction model can predict the target water body catchment area according to the multi-source driving factors of the target water body catchment area in the historical time period. And predicting and outputting CDOM prediction data of the target water catchment area in the prediction time period. According to the method, the LSTM model is utilized to learn the nonlinear coupling influence of the multi-element complex driving factors on the CDOM, so that the prediction of the CDOM under the influence of the multi-element complex driving factors can be accurately realized.

The utility model relates to a mine dump slope water guide device, and belongs to the field of mine drainage. The device comprises a hard permeable pipe (1), an HDPE (High-Density Polyethylene) water guide pipe (2), a cross four-way PVC (Polyvinyl Chloride) pipe (3), a T-shaped three-way PVC pipe (4) and a pipeline filter screen (5), the three hard permeable pipes (1) are arranged in the direction parallel to the top line of the step slope, two of the three hard permeable pipes (1) are arranged in parallel, the third hard permeable pipe (1) is arranged between the two hard permeable pipes (1) and connected with one hard permeable pipe (1) through a T-shaped three-way PVC pipe (4), and the other hard permeable pipe (1) and the HDPE water guide pipe (2) are connected through a cross-shaped four-way PVC pipe (3). The water guide device is buried below the water converging surface of the top surface of the step slope of the dump, so that rainwater can be quickly collected and discharged through a pipeline, the problems that the slope is scoured and eroded by slope surface flowing water for a long time are prevented or reduced, and then potential safety hazards such as secondary disasters caused by slope landslide are eliminated.

The application provides a method for determining inflow hydrograph of urban stormwater inlet, which is in line with actual urban runoff conditions and can effectively reduce the error of calculation results. The urban area is divided into multiple sub-regions according to the road network, and the net rainfall is discharged from the stormwater inlet, and the single stormwater inlet in the sub-region is calculated respectively; the urban surface runoff is calculated by using the comprehensive runoff coefficient method, and the runoff coefficient not greater than 1 is used to represent the runoff after the rainfall is intercepted and lost on the ground; for the rainfall in the small urban area, the ground water flow is in the form of slope flow and shallow concentrated flow; the catchment time is the sum of the two, the slope flow with a flow line not greater than 90m is calculated by using the Manning dynamics method to calculate the surface runoff flow time; after the slope flow stops flowing for 90m, the shallow concentrated flow with a water depth greater than 3cm appears at this time, and the stormwater inlet design flow inflow calculation formula is: Q = F * (P - S) / (T + 90) wherein Q is the stormwater inlet inflow, L / min; F is the average catchment area controlled by each stormwater inlet, m 2 .

The application provides a building roof three-dimensional generation method and system for roof drainage analysis, and relates to the technical field of three-dimensional modeling. First, multi-source data of a target building roof is acquired, and drainage features such as roof slope direction characteristics, drainage boundaries, drainage outlets and water-blocking areas are determined based on the multi-source data. Then, a catchment area is constructed according to the drainage features, and a roof drainage structure composed of a roof valley line, a roof ridge line and a catchment area boundary is determined based on the catchment area. Finally, a three-dimensional model of the target building roof is generated according to the roof drainage structure, drainage simulation and drainage performance evaluation are performed on the three-dimensional model, and the drainage structure is adjusted and the three-dimensional model is updated according to the evaluation results. The application integrates drainage organization relationships into the roof three-dimensional generation process, so that the generated roof model has reasonable catchment areas, continuous drainage paths and good drainage performance, and the accuracy and engineering application value of the three-dimensional modeling of the building roof are improved.

The invention provides a method for quantitatively recovering an ancient landform of an upstream material source area based on geometric attributes of a downstream sedimentary body. According to the method, a modern lake basin or fan delta system with a typical source-sink coupling relation is selected, a digital elevation model and shallow water topographic data are obtained, and a source area and a sink area are divided; parameters such as gradient, catchment area and confluence main channel length are measured in the source area, and geometric attributes such as length, gradient and sedimentary body height difference of a top accumulation layer, a front accumulation layer and a bottom accumulation layer of the fan delta are measured in the confluence area; based on modern sample data, a quantitative relation model between the geometric attributes of the sedimentary body and the landform parameters of the source region is established by adopting a statistical regression method. And then geometric parameter measurement is performed on a target stratum sedimentary body, and the geometric parameter measurement is substituted into the model to recover the area, the thalweg and the gradient distribution of an antique source region. The method takes the geometric attribute of the sedimentary body as a core constraint, is low in dependence on high-quality seismic data, simple and convenient in parameter acquisition and high in result repeatability, and can be used for lake basin evolution and reconstruction, sand body prediction and oil-gas exploration.

The invention discloses an urban flood simulation method based on virtual pool network and SWMM coupling, and the method comprises the steps: taking each sub catchment region of a research region as an independent water storage unit, and constructing a corresponding virtual pool; adjacent pools are connected through triangular weirs to form a virtual pool network reflecting the evolution of surface accumulated water; for a sub catchment area containing an inspection well, bidirectional water exchange between a virtual pool and a pipe network is established by using a transverse weir, so that overflow of the pipe network can be supplemented to the earth surface, and accumulated water on the earth surface can also be discharged into the pipe network. The surface runoff firstly enters the corresponding virtual pools and then is exchanged between the virtual pools or between the virtual pools and the pipe network through the weir structure, so that the whole process simulation of rainfall runoff-surface ponding-pipe network drainage is realized. According to the method, the precision, the efficiency and the realizability are coordinated and unified, the bottleneck that high precision and high efficiency are difficult to consider in an existing urban flood simulation technology is broken through, and the method has remarkable engineering practical value and wide popularization prospects.

This application discloses a CDOM prediction method and related apparatus based on multiple driving factors, relating to the field of water environment management technology. The method includes: a trained CDOM inversion model obtained by training on measured CDOM concentration values ​​and remote sensing images corresponding to the measured CDOM concentration values ​​in time and space; long-sequence CDOM inversion data obtained from long-sequence remote sensing images; and a trained CDOM prediction model trained on the long-sequence CDOM inversion data and historical multiple driving factors. This CDOM prediction model can predict and output CDOM prediction data for the target water body's catchment area during the prediction period based on the multiple driving factors of the target water body's catchment area over historical periods. This application utilizes an LSTM model to learn the nonlinear coupling effect of multiple complex driving factors on CDOM, thus accurately predicting CDOM under the influence of multiple complex driving factors.