73 results about "Hydrological modelling" patented technology

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 river sediment scouring and silting simulation method, and belongs to the technical field of hydraulic engineering and hydrological simulation. In order to solve the problem that it is difficult to accurately simulate the river sediment erosion and deposition evolution trend in the prior art, the method comprises the steps that on the basis of actually measured topographic data and channel chart data of a target river reach, a water-sediment coupling mathematical model is constructed by adopting a non-uniform sediment unbalance sediment transportation theory, and the model interacts with a water power module and a wave module in real time through an MCT coupler; actually measuring a flood and water and sediment series data calibration verification model; and obtaining future water and sediment process data predicted by a plurality of climate modes, inputting the future water and sediment process data into the verified model, dividing river reaches according to the characteristics such as riverbed gradient and river channel curvature, and calculating the erosion and deposition amount of each sub-river reach in the future 50 years. The method can simulate water flow and sediment movement of rivers, reservoirs and lakes, can be applied to the fields of riverway regulation planning, flood control and disaster reduction decision making, reasonable development and utilization of water resources and the like, and provides important data support and scientific basis for construction and management of water conservancy projects.

The invention provides a watershed artificial precipitation enhancement operation effect evaluation method based on hydrological simulation, and belongs to the technical field of artificial influence weather, and the method comprises the steps: obtaining first data and second data; based on the first data, settling a rainfall-runoff process, selecting a preset hydrological model to carry out a drainage basin hydrological batch simulation test, calibrating hydrological parameters, and constructing a drainage basin hydrological simulation forecast model; based on the second data, calculating the natural precipitation of the non-operation area and the operation precipitation of the operation area, and constructing a natural precipitation-operation precipitation data sequence; based on the natural precipitation-operation precipitation data sequence, inputting the natural precipitation into the watershed hydrological simulation forecasting model to obtain runoff before precipitation enhancement operation, and inputting the operation precipitation into the watershed hydrological simulation forecasting model to obtain runoff after precipitation enhancement operation; and based on the runoff before the rainfall enhancement operation and the runoff after the rainfall enhancement operation, carrying out quantitative evaluation on the artificial rainfall enhancement operation effect of the drainage basin. Scientific quantitative evaluation of the artificial precipitation enhancement operation effect of the watershed is realized.

The invention relates to the technical field of water resource management, in particular to a flow hydrograph simulation method based on coupling of a Xinanjiang model and a depression, and the method comprises the steps: obtaining the geographic space data and meteorological data of a target drainage basin; the geospatial data at least comprises a digital elevation model, land utilization data and soil type data; and carrying out sub-drainage-basin division on the target drainage basin based on the digital elevation model, identifying depressions in the digital elevation model by adopting an improved priority flood algorithm, and constructing a spatial topological relation of the depressions. According to the method, the hydrological characteristics of the depression are fused into the Xinanjiang model, the regulation and storage function of the depression group on the drainage basin runoff is quantified, the hydrological simulation precision of the depression dominant drainage basin is remarkably improved, and by improving the depression recognition algorithm, pre-construction of the slope confluence time matrix based on the cells and rapid judgment of the depression merging mechanism, the stability of the depression confluence time matrix is improved. The calculation speed of the distributed hydrological model is greatly improved, and the efficiency requirement of the real-time hydrological model can be met.

The invention relates to the technical field of urban hydrological simulation and flood forecasting, and particularly discloses a comprehensive unit line improvement method applicable to an urbanized region, which comprises the following steps: S1, constructing an urban rainstorm runoff model, and simulating the flow process of a drainage basin outlet section under rainstorm in different recurrence periods; s2, calculating the flow process of the drainage basin outlet section under the same design rainstorm, and reconstructing and converting the flow process into a centralized flow process; s3, distributing the centralized flow process into sub-flows of a water outlet and a river channel section; s4, on the basis of the actual maximum drainage capacity of the drainage port, storage and drainage response correction is carried out on the sub-flow process of the drainage port, and a time sequence flow process considering drainage capacity constraint is formed; s5, calculating the segmented delay of the propagation time lag to the corrected flow, and obtaining an improved total flow process; the improved urban rainstorm basin outlet flow simulation is realized by performing space-time reconstruction, space distribution, drainage capacity constraint correction and propagation time delay delay on the flow process.

The invention relates to the technical field of hydrological simulation and flood forecasting, and particularly discloses a watershed runoff simulation method and device with a graph neural network fused with hydrological priori knowledge, and the method comprises the steps: carrying out the grid division of a target watershed, and building a watershed graph structure in combination with the hydrological priori knowledge; introducing a trainable weight into the graph neural network model, and performing time delay weighting based on a spatial distance to obtain a fusion network model; the meteorological driving data, the rainfall data and the drainage basin attributes serve as input, the convergence process is simulated through the fusion network model, and the predicted downstream runoff volume is obtained; and comparing the predicted downstream runoff volume with the actually measured downstream runoff volume, and optimizing all learnable parameters of the fusion network model. According to the method, the defects that a traditional physical model is large in calculation amount and long in consumed time are overcome, rapid simulation of the runoff process is achieved, and the accuracy and reliability of a data driving model in a runoff simulation task are improved by fusing hydrological priori knowledge and introducing physical constraints.

The invention relates to the technical field of ridge construction, and discloses an ecological ridge construction method for slowing down lateral seepage and intercepting non-point source pollution, which comprises the following steps of: extracting soil texture, elevation and area information of a target area, and scientifically delimiting a ridge and a farmland boundary by combining a spatial analysis and function partitioning algorithm; dynamically determining the height of the buffer zone according to the height difference relation and the flood and drought stress characteristics of plants; hydraulics characteristics are obtained through hydrological simulation, the width of the buffer zone and the filler amount are calculated based on the length-width ratio and hydrodynamic force coupling mechanism, optimal design of water flow regulation and control and pollution interception is achieved, and the stability and purification efficiency of the ridge system in different environments are ensured. According to the invention, the ecological ridge system with strong adaptability is constructed through cooperative analysis of multi-source terrain environment and ecological parameters.

The invention provides an urban green infrastructure comprehensive benefit applicability evaluation method based on subjective and objective weights. The urban green infrastructure comprehensive benefit applicability evaluation method comprises the steps of establishing a basic evaluation system, screening indexes, calculating index weights, calculating quantitative indexes, calculating qualitative indexes, performing grading evaluation, performing standardized score assignment and performing comprehensive evaluation. The basic evaluation system is of a three-layer structure and covers four criteria of runoff regulation and storage benefits, environmental benefits, economic benefits and social benefits and 19 indexes; a subjective weight is determined through an analytic hierarchy process, an objective weight is determined through an entropy weight method, and a comprehensive weight is obtained in combination with a D-S evidence theory fusion method; quantitative indexes are calculated through methods such as hydrological simulation, and qualitative indexes are rated by public; the indexes are unified into dimensionless scores through standardized score assignment, and finally an evaluation result is obtained through weighted summation. According to the method, the applicability quantitative evaluation of matching of the typical green infrastructure and the site condition construction target is realized, and a scientific and quantitative decision support tool is provided for sponge city planning.

The invention relates to the technical field of urban hydrological simulation. The invention discloses an urban community surface ponding simulation method considering a roof structure, and the method comprises the steps: obtaining a regional multi-angle picture through an oblique photography unmanned plane, generating an oblique photography model through image processing, and reconstructing a digital surface model according to the oblique photography model; ground data are separated from the DSM through a PMF method, roof data are extracted in combination with building features, mask data are output, other ground features are removed, and building roof elevation grid data are obtained; calculating the gradient of the roof, dividing the gradient into flat and sloping roofs, building drainage structures into roof drainage models, integrating the roof drainage models with the urban community hydrological model considering the roofs, and running to realize surface ponding simulation. The method comprises the following steps: building a high-precision model through an oblique photography unmanned aerial vehicle and a GIS, separating ground data through a PMF, and accurately dividing a flat / slope roof through median filtering and an SVM; special drainage structures are arranged for the two types of roofs; and integrating the roof drainage model and a two-dimensional coupling hydrological model, and outputting an accumulated water thematic map.

This invention provides a simulation method based on the functional attributes of forest and grassland communities, comprising: acquiring community survey data and individual plant functional trait data of the target forest and grassland vegetation; calculating the functional attributes of the plant community; acquiring the actual values ​​of key hydrological parameters corresponding to the target forest and grassland vegetation; training the model using a random forest algorithm to construct a nonlinear mapping model; integrating the nonlinear mapping model into a parameterized process and outputting the simulation results. The hydrological simulation method based on the functional attributes of forest and grassland communities provided by this invention establishes a nonlinear mapping relationship between these ecological attributes and key hydrological parameters using a random forest algorithm, thereby dynamically driving the simulation of regional hydrological processes. This achieves a refined characterization of the mechanism by which vegetation community structure and function affect hydrological processes, significantly improving the simulation accuracy of the model in scenarios such as vegetation restoration and configuration optimization.

The application provides an oasis ecological hydrology simulation method, device, equipment and storage medium. It relates to the technical field of ecological hydrology under geophysics. The method comprises the following steps: based on ecological hydrology basic data, using ecological hydrology equation to calculate oasis evapotranspiration, oasis area carrying capacity of groundwater and vegetation coverage carrying capacity of groundwater, as input features of machine learning modeling, and based on machine learning model suitable for regression modeling, respectively constructing lake area module, groundwater depth module, oasis area module and vegetation coverage module; integrating each module to construct an oasis ecological hydrology model, and realizing oasis ecological hydrology simulation based on the oasis ecological hydrology model. The method can provide an effective tool for the total water delivery amount and water delivery process optimization design of ecological water delivery engineering, and help to improve the ecological benefit of oasis recovery.

This invention discloses a method, device, equipment, medium, and product for urban flood peak identification, belonging to the field of urban hydrological technology. The method includes: obtaining the hydrological vector of each sub-catchment at time t; determining the first and second effective areas of each sub-catchment at time t based on the dynamic impermeable area ratio of each sub-catchment at time t; performing hydrological simulation on the first effective area using a dynamic depression-filling loss-deduction model to obtain the first flow rate of each sub-catchment, and performing hydrological simulation on the second effective area using an improved Green-Ampt model to obtain the second flow rate of each sub-catchment; determining the outlet flow rate of each sub-catchment based on the first and second flow rates and the dynamic confluence time; and identifying the flood peak of the target city based on the outlet flow rate of each sub-catchment. This method can improve the accuracy and real-time performance of urban flood peak identification.

The invention provides an oasis ecological hydrological simulation method, device and equipment and a storage medium. Relates to the technical field of ecological hydrological branches under geophysics. The method comprises the following steps: calculating oasis phreatic evapotranspiration, oasis area bearing capacity of groundwater and vegetation coverage bearing capacity of groundwater by applying an ecological hydrological equation based on ecological hydrological basic data as input characteristics of machine learning modeling, and calculating the vegetation coverage bearing capacity of the groundwater based on a machine learning model suitable for regression modeling; respectively constructing a lake area module, an underground water burial depth module, an oasis area module and a vegetation coverage module; all the modules are integrated to construct an oasis eco-hydrological model, and oasis eco-hydrological simulation is achieved based on the oasis eco-hydrological model. The method can provide an effective tool for optimal design of the total water delivery amount and the water delivery process of an ecological water delivery project, and facilitates improvement of oasis resuscitation ecological benefits.

The application discloses a large-scale basin deep learning flood forecasting method based on runoff lag information and relates to the technical field of hydrological simulation and flood forecasting of machine learning, and comprises the following steps: collecting basin hydrological observation site information data, basin characteristic data, basin historical hydrological data and meteorological forecasting characteristic data; dividing a large-scale basin into a plurality of sub-basins; preprocessing data, extracting runoff lag information obtained by using a convolutional neural network model, and constructing a runoff lag information database; adopting a deep learning long short-term memory model to couple the runoff lag information database, obtaining a plurality of sub-basin runoff lag information models; obtaining optimal runoff lag information parameters of the plurality of sub-basins according to a model precision evaluation index, obtaining an optimal hydrological forecasting model, and realizing accurate flood forecasting of the large-scale basin. The application makes up for the deficiency of flood forecasting under the condition of lack of hydrological data of a large-scale basin and has a strong application prospect in areas with little or no data.

The present disclosure relates to the technical field of data processing, in particular to a DEM data filling method, a DEM data filling device, a storage medium and an electronic device. The DEM data filling method comprises: obtaining original DEM data, and detecting the original DEM data to obtain a depression point and depression point information; collecting real-time hydrological data, and predicting hydrological prediction information of the depression point based on the real-time hydrological data and the depression point information; determining a filling path of the depression point according to the hydrological prediction information and the depression point information; and filling the depression point in the original DEM data according to the filling path to obtain target DEM data. The DEM data filling method provided by the present disclosure can improve the accuracy of hydrological simulation.

The invention relates to the field of hydrological data analysis and model correction, in particular to a digital twin basin correction method based on non-stationary reservoir hydrology, which comprises the following steps: acquiring hydrological data of a basin in a predetermined season period to extract corresponding hydrological motion features; in combination with hydrological motion characteristics and the number of branch runoff paths, analyzing characteristic parameters representing hydrological connectivity stability of the watershed to divide hydrological fluctuation categories of the watershed; adaptively evaluating and correcting twinborn parameters of the drainage basin based on hydrological fluctuation categories; and determining a corresponding prediction deviation level based on the corrected prediction deviation value of the simulation prediction result and the actual result. According to the method, the adaptability and robustness of the digital twin basin model are improved while the accuracy of hydrological simulation and prediction is improved, and then the practicability and efficiency of engineering practical application are improved.

The present disclosure provides a permafrost mountainous hydrological simulation method and system based on space-ground-air integrated monitoring, relating to the technical field of hydro-meteorological monitoring and water resources forecasting. The method comprises: obtaining permafrost hydrological monitoring data of a permafrost region through space-ground-air multi-monitoring equipment; the permafrost hydrological monitoring data comprises permafrost state and precipitation data; assimilating the permafrost hydrological monitoring data into a distributed hydrological model coupled with a permafrost runoff generation process to obtain a first distributed hydrological model; simulating runoff processes under different permafrost states and permafrost underlying surface hydrological characteristics through the first distributed hydrological model to dynamically quantify precipitation-runoff conversion efficiency. The present scheme can accurately simulate the runoff process in the permafrost region, and then reliably dynamically quantify the precipitation-runoff conversion efficiency.

This invention discloses a multi-dimensional watershed similarity discrimination method based on geography, meteorology, and hydrology, relating to the fields of hydrological simulation and watershed management technology. By integrating a method for extracting underlying surface morphology features from multi-source data, combined with a meteorological time-series data feature selection method based on high-dimensional dynamic time distortion distance, and utilizing Sentinel-1 / 2 multi-source remote sensing images to invert flood hydrological process features, the method calculates the geographical morphological similarity, meteorological feature similarity, and hydrological process similarity between data-free and data-rich small watersheds. Weighted comprehensive similarity is then used to complete the small watershed similarity discrimination, achieving high-precision transfer of hydrological model parameters in data-free areas. This invention's method provides comprehensive underlying surface discrimination that closely aligns with hydrological mechanisms, effectively preserving dynamic meteorological and hydrological features and improving time-series classification accuracy. It directly matches flood processes through remote sensing inversion, avoiding misjudgments caused by traditional indirect inference. The process is standardized, adaptable to multiple scenarios, and suitable for hydrological simulation in data-free areas.

The application provides a lake surface temperature prediction method based on a neural network, applied to the field of hydrological simulation, and the method comprises the following steps: obtaining meteorological driving data sets of a selected region in a simulation period, and combining a physical mechanism model to obtain lake physics parameters; constructing a long short-term memory neural network model according to a lake surface temperature data set and the lake physics parameters, wherein the long short-term memory neural network model is used to predict the time step increment of the lake surface temperature; optimizing the hyperparameters of the long short-term memory neural network model based on a Bayesian optimization algorithm to obtain a long short-term memory neural network model based on Bayesian optimization; updating the physical mechanism model according to the long short-term memory neural network model based on Bayesian optimization to obtain an updated physical mechanism model; and combining the updated physical mechanism model and the meteorological driving data sets of the selected region in the simulation period to obtain a corrected lake surface temperature.

The invention discloses a soil water content correction method based on an XAJ and LSTM coupling model, and the method comprises the steps: extracting watershed DEM data, and constructing an input set; running XAJoptuna, outputting a time sequence containing three-layer evapotranspiration, runoff production and initial soil water content, and calculating a process file; constructing an LSTM (Long Short Term Memory) taking daily evaporation capacity, net rainfall and the current three-layer soil water content as input, outputting a next moment to correct the three-layer soil water content, and training by adopting a loss function; the corrected soil water content predicted by the LSTMoptuna is fed back in real time to replace an XAJopyuna internal state variable; performing three-water-source division and confluence calculation on the coupled runoff result; according to the method, the advantages of a physical mechanism and data driving are fused, the simulation precision of the soil water content is remarkably improved, dynamic correction from points to sites is achieved, and high-temporal-spatial-resolution state variable support is provided for drainage basin drought early warning, water resource scheduling and refined hydrological simulation.

The invention discloses a watershed multi-scale water network optimization scheduling model system based on ecological restoration, and relates to the technical field of ecological restoration, and the system comprises the steps: building a coupling model through data collection, hydrological simulation and hydraulic engineering digitization, simulating different scheduling scenes, and building a scheduling rule base with ecological flow as a target according to the data collection, hydrological simulation and hydraulic engineering digitization; and finally, a scheduling scheme is intelligently generated based on real-time flow monitoring and a rule base, and optimal scheduling and ecological guarantee of a drainage basin water network are realized. By constructing the ecological scheduling rule base and monitoring the flow in real time, the downstream ecological flow is guaranteed, and the aquatic ecosystem is restored; by means of hydrological simulation and engineering digitization, reservoir scheduling is optimized, and the utilization efficiency of water resources is improved; an intelligent decision-making module is integrated, so that quick response and automatic scheduling are realized; and through multi-scene deduction, a scientific basis is provided for drainage basin planning, and the test cost and uncertainty are reduced.

The application provides a hydrological simulation method and system based on one-way driving of a nested model in the Yellow River Basin, and belongs to the technical field of hydrological simulation; the method comprises the following steps: taking a SHUD model as a core layer for simulating the hydrological cycle of the basin, taking a MIKE hydrodynamic model as a river channel hydrodynamic simulation layer, coupling the two models to construct a nested model, and performing one-way driving based on a spatial nesting technology; a two-way data interface is constructed, data exchange between the SHUD model and the MIKE hydrodynamic model is realized, a data assimilation algorithm is introduced, historical observation data are used to calibrate the parameters of the nested model, and key parameters are optimized; and then, the hydrological process of the basin is simulated based on the optimized nested model. The application can realize high-precision simulation of the hydrological process of the basin, and further provides scientific guidance for water resource management in the Yellow River Basin.

The invention discloses a drainage basin ecological hydrological process simulation and prediction system based on a mechanism hydrological model and AI coupling, and relates to the technical field of drainage basin ecological hydrological simulation and prediction. Multi-source data integration and preprocessing are carried out through a data input layer, and a standardized data set is output and provided for a model coupling layer; the model coupling layer directly receives the standardized data set of the data input layer and outputs an optimized simulation result and a predicted value to the simulation and prediction layer; the simulation prediction layer receives a simulation result and a prediction value of the model coupling layer, performs multi-dimensional ecological hydrological element collaborative simulation and short-term-medium and long-term scene adaptive prediction, and outputs a simulation prediction result to the result output layer; and the result output layer receives the simulation prediction result of the simulation prediction layer and provides visual interaction and decision suggestion generation functions. The invention provides an innovative scheme of deep fusion of a mechanism model and an AI technology, and comprehensive requirements of physical rationality, data fitting precision, multi-element coverage and efficient response are covered.

The invention discloses a multi-source rainfall product complementation degree analysis method based on an SHAP model. The method comprises the following steps: step 1, collecting multi-source rainfall product data; step 2, multi-source rainfall product data fusion; 3, quantitatively evaluating the contribution degree of the multi-source rainfall product; and 4, analyzing the complementation degree between different rainfall products. According to the method, the influence of the multi-source rainfall products on the precision of the final product after different combinations are fused is analyzed, the collaborative contribution degree of the multi-source rainfall products is quantified, and therefore quantitative evaluation of complementarity between the multi-source rainfall products is achieved. The method provided by the invention can identify the advantage complementary relationship among the fused rainfall products, improves the accuracy and interpretability of rainfall estimation, and provides a scientific basis for weather forecast, hydrological simulation and disaster early warning.

The application discloses a rainfall correction runoff simulation method, comprising the following steps: obtaining observed precipitation data, measured runoff data and simulated runoff data generated by a hydrological simulation model of a target basin; constructing a multi-year average runoff coefficient based on the observed precipitation data and the simulated runoff data; using the multi-year average runoff coefficient and the measured runoff data to back-calculate the theoretical precipitation, and comparing and quantifying the total precipitation gap of the basin with the observed precipitation data; constructing a spatial feature weight coupled with the area and elevation of an observation site, distributing the total precipitation gap of the basin to each observation site based on the spatial feature weight to generate a rainfall correction coefficient; correcting the observed precipitation data by using the rainfall correction coefficient, and inputting the hydrological simulation model to output a re-simulated runoff process. The application promotes the distribution of the spatial precipitation gap and improves the runoff simulation precision under the premise of satisfying the hydrological mechanism and water mass conservation.

The invention discloses a one-dimensional hydrodynamic model rapid construction method based on dem elevation data, and relates to the technical field of hydrological simulation. The method comprises the following steps: acquiring Havweg data and dem elevation data in a riverway; calculating a straight coefficient to dynamically adjust the river reach length; acquiring a section elevation point; identifying a river section shoreline, and retaining elevation points within left and right banks; correcting the extracted river channel section based on actually measured section information; a river channel connection relation is constructed according to the upstream and downstream relation of the middle line of the river channel, and a one-dimensional hydrodynamic model is formed; according to the method, the river reach is dynamically divided through the straight coefficient on the basis of the dem data and the medium vector data of the river channel, the topological connection relation between the river reaches is reserved, the section data conforming to the bending form of the river channel is generated, the section information of the river channel can be rapidly and accurately obtained, and rapid modeling of a one-dimensional hydrodynamic model is achieved; and the accuracy and applicability of the hydrological simulation technology in the region lacking data can be improved.

The invention discloses a high-precision mountain area river course roughness extraction method based on a multi-source remote sensing image. Comprising the steps of S1, multi-source remote sensing image data acquisition and data preprocessing, S2, riverway center line extraction and riverway range determination based on remote sensing images, S3, vegetation coverage calculation and riverway vegetation region identification, 4, riverway vegetation height calculation, S5, hydraulic radius and water depth calculation, and S6, riverway roughness inversion based on vegetation-hydraulic parameters. The method is low in cost and high in timeliness, large-scale field actual measurement is not needed, multi-source remote sensing images are mainly adopted, and the data acquisition cost is obviously reduced; mountain area river channel parameter extraction can be realized, the period is shortened to 1-2 weeks, and the dynamic monitoring requirement is met; reliable parameters are provided for high-precision hydrological simulation; the method is wide in applicability and high in expansibility, and is suitable for mountainous river channels with different terrains and different vegetation types (herbaceous plants, shrubs and arbors); inSAR deformation data can be added subsequently, and a river channel erosion and deposition height change monitoring function is expanded.

The invention discloses a rainfall data scarce coastal port-oriented flood risk assessment method and system, and relates to the technical field of port flood control engineering and hydrological simulation, and the method comprises the steps: obtaining rainfall data, basic data, other data and a port facility distribution diagram of a target port; obtaining a corrected design rainstorm hydrograph based on the rainfall data; based on the designed rainstorm hydrograph and the basic data, rainfall-runoff simulation is carried out, and a flood flow hydrograph is obtained; obtaining a port inundation simulation result based on the flood flow hydrograph and other data; and based on the port inundation simulation result, inundation indexes are extracted and combined with the port facility distribution map to generate a flood risk assessment report. The whole process simulation from rainfall to port submerging is realized, so that the comprehensiveness and accuracy of flood risk assessment are improved.

The application discloses a flood risk area personnel emergency transfer planning method and device, and belongs to the technical field of emergency transfer path planning, which comprises the following steps: constructing a road network map of a target area based on three-dimensional geographic data, and obtaining the relative elevation index of the roadbed of each path in the road network map; determining a sensitive path set based on the road network map and historical disaster data, wherein the sensitive path set comprises a river-crossing bridge and a wading path; performing hydrological simulation on the target area by using a hydrological model; calculating the passing cost of each path in the road network map by using a cost function; and determining the optimal transfer path of a first user to be transferred at time t according to the passing cost of each path in the road network map; wherein if a path in the sensitive path set is flooded at time t, the passing cost of the flooded sensitive path at time t is set to infinity. The method makes the planned personnel transfer route executable under extreme rainstorm working conditions.

The invention discloses an urban hydrological situation awareness and identification method and system and a readable medium, and the method comprises the steps: constructing an urban hydrological emergency knowledge system, which comprises the construction of an urban hydrological emergency plan library, an urban hydrological event library and an urban hydrological simulation model library; natural language query input by a user is analyzed, retrieval and fusion are carried out based on the urban hydrological emergency plan library and the urban hydrological event library, and a specific hydrological event scene knowledge sub-library is constructed; performing adaptive matching and simulation on the specific hydrological event scene knowledge sub-library and the urban hydrological simulation model library; and fusing the simulation result with the knowledge rule to generate an early warning rule related to the specific hydrological event scene. According to the method, the unification of hydrological situation dynamic perception and accurate identification is realized, the emergency response timeliness is improved, and scientific and intelligent support can be provided for urban hydrological disaster control decision. The method disclosed by the invention is subsidized by complex space scene situation identification and virtual-real mutual feedback (2022YFB3904104) of national key research and development projects.