59 results about "Flood risk assessment" patented technology

The invention relates to the technical field of risk management, in particular to a multi-scale urban rainstorm flood risk assessment method. The method comprises the following steps: acquiring a regional basic data set; performing data preprocessing on the regional basic data set to generate a regional basic preprocessed data set; constructing a rainstorm flood risk assessment index system based on the regional basic preprocessing data set to obtain an urban scale flood assessment index, and performing urban scale rainstorm flood risk assessment to obtain an urban scale rainstorm flood risk assessment result; according to the method, the index information is obtained from the open source data, and the defects that in previous researches, part of index data is poor in spatial precision and long in time are overcome; the multi-scale urban rainstorm flood risk assessment method comprehensively considering the urban scale and the block scale is provided, and the accuracy, scientificity and comprehensiveness of urban rainstorm flood risk assessment can be improved.

The invention discloses a reservoir-lake-river system extreme flood simulation and flood control risk assessment method, system and device and a storage medium, and the method comprises the steps: firstly recognizing a risk source factor of a historical extreme flood event, depicting the spatial distribution uncertainty of the risk source factor through a Vine Copula function, and generating a risk source factor sample through Latin hypercube sampling; then, the samples are reduced based on a Neural Gas algorithm, and a risk source factor scene tree is constructed; generating an extreme flood hygrograph scene by combining historical flood data and adopting a same-multiple-ratio scaling method; and then a joint flood control optimization scheduling model is constructed, flood control risks of the reservoir and the lake are evaluated, and the evaluation effect is analyzed. The system is simple in structure and accurate and stable in risk assessment, fine risk assessment of flood disaster high-incidence areas is facilitated, and theoretical support of extreme flood risk assessment can be provided for areas lacking data.

The invention discloses a flood risk map result data coupling and management method, and relates to the technical field of hydrological information processing and geographic information systems, and the method comprises the following steps: obtaining hydrological data and topographic data required by flood risk assessment, including water level time sequence data, submerging depth data and TIN topographic data, and carrying out standardized conversion on data in different formats, and carrying out unified alignment based on a coordinate reference system. According to the method, the coupling precision of the hydrological data and the topographic data is improved through the adaptive Delaunay triangulation algorithm, and simulation distortion caused by time-space mismatching is avoided; the storage is optimized by adopting a topological optimization GeoJSON data structure, so that the query and management efficiency is improved; gPU acceleration rendering and LOD layering technologies are combined, the real-time visualization capability of flood simulation is improved, and efficient and accurate data support is provided for flood prevention emergency management and water conservancy decision making.

The invention relates to the technical field of satellite hydrological data processing, and particularly discloses a GRACE data super-resolution network space downscaling method fusing geographic information and environmental variables, which comprises the following steps: S1, acquiring original resolution GRACE data and original GLDAS data of a research area, and preprocessing the data; s2, dividing the data obtained by preprocessing in the step S1 into a training set and a test set, and training the GRACE data space downscaling model by using the training set to obtain a trained discriminator and a trained generator; and S3, inputting the GRACE low-resolution data in the test set and the high-resolution environment variable at the moment corresponding to the data into the generator trained in the step S2, and finally obtaining a downscaled high-resolution GRACE image. The method not only can be used for dynamic monitoring of regional scale underground water reserves and flood risk assessment, but also can be expanded and applied to scenes such as agricultural drought monitoring and ecological hydrological process simulation.

The invention relates to the technical field of hydrometeorological monitoring, in particular to a rainstorm flood water line early warning and monitoring method. According to the invention, the consistency and timeliness of real-time water level data from different data sources are ensured through a multi-source hydrometeorological data acquisition and time synchronization technology. Through accurate time synchronization processing, deviation caused by data time lag is avoided, accurate butt joint and fusion of various water level data are guaranteed, and subsequent flood risk assessment and early warning are more reliable. Particularly, under sudden weather conditions such as rainstorm and the like, quick response can be realized, and accurate risk assessment can be provided; according to the method, the noise in the water level data of each data source is effectively removed by combining a combined preprocessing algorithm of moving average filtering and Kalman filtering, and weights of different data sources are weighted according to prediction errors, so that comprehensive accurate water level data is obtained. According to the fusion method, the smoothness and accuracy of the data are improved, and high-quality input data are provided for subsequent risk assessment.

The invention discloses a multi-dimensional flood risk assessment method and system oriented to personnel, traffic and economy. The method comprises the following steps: acquiring multi-source data, and generating flood spatio-temporal evolution data through hydrodynamic simulation; constructing a time-dependent traffic network driven by flood power, wherein the road traffic capacity is dynamically attenuated along with hydrodynamic parameters; on the basis of a space-time racing mechanism, calculating the time difference between the personnel danger arrival time and the shortest evacuation time consumption, and constructing an evacuation time margin and evacuation success probability model so as to dynamically correct the static personnel exposure risk and obtain a personnel safety risk index; and in combination with physical state attenuation and asset exposure characteristics, traffic operation and economic loss risk indexes are calculated respectively, and multi-dimensional fusion evaluation is carried out. According to the method, the problem that dynamic interaction between flood routing and personnel evacuation is neglected in traditional static assessment is solved, accurate calculation of personnel trapped probability and critical road section rush-through marginal contribution is realized, and scientific decision support is provided for flood control command and emergency rescue.

The invention discloses an urban flood mapping and driving factor analysis method based on multi-source remote sensing data, and the method comprises the steps: respectively extracting an optical semi-permanent water body and an SAR semi-permanent water body based on a global surface water body data set and a Sentinel-1 image, and taking the intersection of the optical semi-permanent water body and the SAR semi-permanent water body to generate an enhanced semi-permanent water body mask; extracting a water body in a flood period by using the Sentinel-1 image to obtain flood water body distribution, and performing water body extraction precision verification in combination with the Sentinel-2 image; the precision of the SRTM DEM is improved based on a DEM error prediction model of a Transform network, and a corrected DEM is generated; and constructing a multi-dimensional spatial analysis model based on the elevation, gradient and surface coverage type of the corrected DEM, and identifying spatial distribution characteristics and a terrain driving mechanism of the flood water body. According to the method, comprehensive analysis is performed in combination with terrain factors, and the spatial precision and timeliness of flood risk assessment can be improved.

The invention provides an urban road network flood risk assessment method based on Bayesian and complex network modeling, and relates to the technical field of flood disaster prevention and reduction. Model parameters are optimized by analyzing and researching spatial heterogeneity distribution of historical flood in a region, and flood susceptibility is predicted based on the optimized Bayesian network model; carrying out modeling analysis on the urban road network topological structure by adopting a complex network theory framework to obtain the road network vulnerability of the research region; and comprehensively scoring the flood risk according to the flood susceptibility and the road network vulnerability, and obtaining the dynamic change of the comprehensive score of the flood risk by adjusting the model and the road network structure. According to the method, the Bayesian network and the Domirank algorithm are combined, the complex causal relationship between each influence factor and the flood disaster is deeply analyzed and quantified, and the capability of coping with the flood disaster of a city can be improved.

The invention relates to the technical field of flood disaster simulation, in particular to a watershed flood dynamic simulation system based on multi-source data fusion, which comprises a multi-source data preprocessing module, a multi-source data fusion module, a digital twin watershed modeling module, a flood dynamic simulation module, a flood risk assessment module and a visualization module. According to the scheme, a space-time cross-modal interaction fusion method is put forward to fuse multi-source data, a cross-modal interaction mechanism is introduced to capture dependency in a modal, high-dimensional interaction tensors are efficiently fused by means of low-rank decomposition, complementarity of space topology, time dynamic and multi-source heterogeneous data is considered, and multi-source data fusion efficiency is improved. The precision and robustness of hydrological process modeling are effectively improved; by constructing a distributed hydrological-hydrodynamic coupling model, whole-process dynamic simulation from runoff production to river channel-flood area flood routing is realized.

The invention discloses a dynamic flood risk evaluation method based on flood inundation simulation, and relates to the technical field of natural disasters. The method includes: acquiring meteorological and hydrological data of a target area; constructing a flood risk model according to the meteorological and hydrological data, and carrying out flood risk model parameter calibration by utilizing actually measured rainfall data and flow-water level data; based on a D8 diffusion algorithm and water balance equivalent analysis of a GIS spatial analysis technology, converting the water amount, higher than the river embankment, of the target area into a submerged water depth sum by using the constructed flood risk model, obtaining a submerged water depth map of the target area, and generating a flood deduction result; and according to the flood deduction result, determining flood disaster risk grade division of the target area, and evaluating the flood disaster risk. According to the method, the flood risk model and the flood rehearsal model of GIS spatial analysis are constructed, and the flood risk model can well reflect the flood rehearsal result.

The invention provides a multi-source data fusion flood risk assessment early warning method, and relates to the technical field of natural disaster early warning. The multi-source data fusion flood risk assessment early warning method comprises the following steps: data acquisition: acquiring meteorological data including but not limited to rainfall, air temperature, air pressure and wind speed; hydrological data including river flow, water level and soil humidity are collected; collecting geographic data including terrain elevation, land utilization type and vegetation coverage; social data including population density, building distribution and infrastructure conditions are collected; and data preprocessing: cleaning the collected data, removing noise and abnormal values, and carrying out standardization processing on the data to ensure that the data of different data sources has comparability. According to the flood risk assessment method, multi-dimensional features of flood risks can be comprehensively reflected by integrating multi-source data of meteorology, hydrology, geography, society and the like, and richer information support is provided by integrating different types of data, so that risk assessment is more comprehensive and accurate.

The invention discloses an electric power gallery flood risk assessment method and system based on deep learning, and belongs to the field of flood disasters, and the method comprises the steps: achieving the water extraction and risk grade assessment of a radar image, obtaining the radar image from a Sentinel-1 satellite, removing the noise through a Speckle filter, and carrying out the geometric correction, radiation correction and normalization processing. Data preprocessing is carried out to ensure data quality; performing image segmentation on the preprocessed image by using a U-Net model, extracting and recovering image features through an encoder and decoder structure, and realizing high-precision water body segmentation through a deep learning model; the water body extraction precision is evaluated by calculating indexes such as a confusion matrix, a recall rate, accuracy and MIOU, the flood risk level of the power equipment is evaluated according to the extracted water body data, the gallery bridge distance and the gradient, and risk evaluation is divided into five levels. According to the method, the problem of how to accurately extract the water body and evaluate the flood risk of the electric power gallery is solved, and a scientific basis is provided for protection and management of electric power facilities.

This invention relates to an airport rainfall and flood early warning method, electronic device, and medium based on a large language model, for use in sponge airports. The early warning method includes: based on a rainstorm and flood management model, using a large language model for data augmentation to generate a multi-factor flood early warning dataset containing regionally specific factor data and airport-specific factor data; based on a retrieval-enhanced generation mechanism, vectorizing and calculating feature bias on the current input data, retrieving the most relevant historical case context information from the multi-factor flood early warning dataset; adaptively fusing the multi-factor features and the most relevant historical case context information, extracting key information through multi-head self-attention and attention pooling, and outputting the flood risk level and early warning result. This invention can significantly improve the accuracy, real-time performance, and interpretability of flood risk assessment, providing more reliable, traceable, and intelligent flood early warning and decision support for sponge airports.

The invention relates to the technical field of urban rainfall pattern recognition, and aims to solve the problems that an existing method depends on an empirical formula, rainfall classification is unstable, and interpretability is insufficient. The method comprises the following steps: acquiring multi-site long-time actually measured rainfall data, and identifying an independent rainfall event based on a rainfall interval threshold value; multi-dimensional features such as rainfall duration and peak rainfall intensity are extracted and standardized; performing hierarchical clustering by adopting a Ward minimum variance method, and determining an optimal clustering number by combining a Clinski-Harabasz index and the like to obtain a rainfall mode; training a linear discriminant analysis (LDA) model by taking a clustering result as a label, and verifying and quickly classifying a new rainfall event; the result is used for flood control scheduling, flood risk assessment and the like. According to the method, rationality is improved based on measured data, classification stability is improved by fusing clustering and discriminant analysis, expandability is high, and intelligent disaster prevention is supported.

This application provides a method, apparatus, equipment, and storage medium for assessing drought / flood disaster risks in tobacco cultivation. It relates to the field of hydrological technology. The method includes: analyzing the response relationship between drought / flood conditions and actual disasters in different months of the tobacco growing season based on multi-timescale SPI analysis; calculating the distribution sequence of drought / flood conditions with a high probability of causing drought / flood disasters using the Naive Bayes method; constructing a new paradigm for assessing the risk of drought and flood disasters during the tobacco growing season based on drought / flood type classification, Bayesian modeling, and disaster-causing effect quantification; and further establishing a three-dimensional simplified framework drought / flood risk assessment model. This application aims to establish a drought / flood risk assessment model by analyzing the response relationship between drought / flood conditions and actual disasters in different months of the tobacco growing season based on multi-timescale SPI analysis, calculating the distribution sequence of drought / flood conditions with a high probability of causing drought / flood disasters using the Naive Bayes method, and then establishing a drought / flood risk assessment model.

The invention relates to a flood risk assessment method and system based on cavernous body benefits. The method comprises the following steps: acquiring real-time data; performing multiple fusion on the data to form standardized rainfall, drainage system state, cavernous body basic parameters and terrain exposure; calculating cavernous body regulation and storage benefits based on the cavernous body basic parameters; obtaining a comprehensive risk index based on the rainfall, the drainage system state, the terrain exposure degree and the cavernous body regulation and storage benefit; and on the basis of the comprehensive risk index, with the purpose of minimizing the comprehensive cost, generating an optimal scheduling scheme of the drainage system in combination with a zoning and grading scheduling method and a linear programming and heuristic optimization algorithm. According to the method, multi-source data real-time closed-loop fusion and dynamic regulation and storage function cooperation are innovatively introduced, so that data space-time integrity and continuity are guaranteed, actual benefits of the cavernous body can be quantified, and full-chain management and control are formed; an integrated closed-loop framework of closed-loop control risk index and scheduling optimization of risk perception, risk assessment and intelligent scheduling is realized for the first time.

The present invention discloses a method for quantitatively evaluating real-time flood risk. The method establishes the relationship between flood frequency (P), corresponding loss (L), and flood control risk rate (P f ), and constructs a flood risk control standard diagram, thereby quantitatively evaluating the risk level of real-time flood, that is, determining whether it belongs to the acceptable risk area, the tolerable risk area, or the unacceptable risk area. The solution provided by the present invention for quantitatively evaluating real-time flood risk overcomes the deficiency in the current hydrological field that the risk control standard for real-time flood risk assessment only considers the flood control risk rate or flood occurrence frequency without considering flood losses. By combining the flood control risk rate and flood losses, the risk control standard can be tailored to specific situations and adapt to different flood control protection objects, providing a technical basis for basin flood control, disaster reduction, and emergency management.

The invention relates to the technical field of mountain torrent flood control and disaster reduction, and discloses a small watershed mountain torrent risk assessment method and device, electronic equipment and a storage medium. Establishing a spatial association relationship between each danger area and the rainfall monitoring station based on the spatial association relationship between the small watershed and the danger area; based on the spatial association relationship between each danger area and the rainfall monitoring station, calculating the preset accumulated rainfall in each time period of each danger area in a rolling manner; and based on the relationship between the accumulated rainfall capacity of each preset time period of each danger area and the rainfall early warning threshold value of each preset time period, evaluating the small watershed mountain torrent risk. According to the method, a'small watershed-dangerous area-monitoring station 'space correlation system is established, refined description of rainfall spatial and temporal distribution and regional difference is realized, and a set of systematic and automatic mountain torrent risk assessment method is constructed by means of multi-period rolling accumulation calculation and dynamic threshold comparison.

The invention discloses an urban flood risk assessment method and device based on open source data, and belongs to the technical field of urban flood. The method comprises the following steps: obtaining open source road data, simplifying the open source road data into a drainage pipe network initial topological graph, determining a water outlet, and further carrying out iterative optimization to obtain a drainage pipe network model; and predicting the drainage effect of an actual urban drainage system according to the drainage pipe network model, and evaluating the urban flood risk. The method completely depends on open source data, and thoroughly gets rid of dependence on special drainage pipe network data which is difficult to obtain; according to the method, the modeling efficiency is improved, and through reasonable physical rules and optimization algorithms, the generated model shows good consistency with a real model in a system level (such as total overflow and water outlet flow) and a submerging range, and is sufficient to support planning-level risk assessment requirements.

The invention discloses a flood risk early warning grading standard method based on urban flood simulation forecast. The method is specifically implemented according to the following steps: step 1, constructing a grid city model; step 2, evaluating the disaster-bearing object capability of the grid city model in the step 1; 3, evaluating the waterlogging prevention capability in each grid unit in the grid city model in the step 1; 4, constructing a flood risk assessment model; step 5, constructing a flood risk grading early warning model, quantifying a risk value and a continuous trend of flood, and setting a triggering condition of risk early warning; and step 6, constructing a grading early warning model. According to the method, the problems that the dynamic process of urban flood occurrence cannot be accurately simulated and the matching degree with actual risk early warning is low in an existing grading method are solved, the urban flood risk grade can be accurately predicted and evaluated, and the accuracy and timeliness of early warning are improved.

The invention relates to the technical field of flood management, in particular to a flood risk assessment method and system based on multi-dimensional data integration analysis. The method comprises the following steps: acquiring a multi-dimensional data set including geographic information data and hydro meteorological data; determining a water flow direction by using the geographic information data, and identifying a catchment area based on the water flow direction; carrying out drainage basin runoff production calculation according to the hydro-meteorological data, and recording runoff volume; executing runoff collection simulation in the catchment area by utilizing runoff volume to form a runoff process line; calculating flood peak flow based on the runoff hydrograph; evaluating the river water level according to the flood peak flow, and calculating the river overflow according to the river water level; generating a submerging depth distribution map according to the river overflow quantity; and performing flood risk prediction based on the submerging depth distribution map, and generating a flood management risk level. Fine evaluation and dynamic prediction of the flood risk are realized based on the flood management technology, and the flood prediction accuracy and the flood control decision efficiency are improved.

The invention relates to a comprehensive flood risk evaluation method for a plain area, which comprises the following steps of: constructing a three-order progressive flood risk evaluation index system comprising four criteria and fifteen indexes through information arrangement of a target area, establishing a fuzzy consistent judgment matrix by utilizing a fuzzy analytic hierarchy process, and scientifically quantifying index weights, so as to evaluate the flood risk of the target area. And carrying out overlay analysis and comprehensive risk grading on each risk factor index according to each calculated index weight by utilizing a GIS tool, and finally generating a flood risk zoning map of the target region. According to the method, risk assessment can be converted from qualitative description to quantitative and visual partition, so that the high-risk area of the target area is accurately identified, a methodological template is provided for risk assessment of similar areas, and the application range is wide.

A method using a convolutional neural network to auto-determine a first floor height (FFH) and a FFH elevation (FFE) of a building. The FFH, and FFE of the building are determined with respect to the terrain or surface of the parcel of land on which the building is located. In turn, by knowing the FFH and / or FFE of the building on the parcel, it is possible to use that information while performing a flood risk assessment to a property without requiring a personal inspection of the parcel by a human.

The application provides a city rainstorm flood risk assessment method, system, device and medium, and belongs to the technical field of flood disaster emergency management. The method comprises the following steps: obtaining real-time social media data of a target city rainstorm flood event, and constructing different types of data sets; based on the constructed data sets, using a trained ViT to screen out rainstorm flood picture real-time data; using a trained DeepLab V3+ to extract water body objects; using a trained YOLO V8 to extract human and vehicle targets; detecting whether the water body objects and the human and vehicle targets overlap, and if they overlap, marking them as risky pictures; synchronizing the risky positions corresponding to all risky pictures to a map, and generating a heat map; and evaluating a city rainstorm flood risk area through the heat map. The application can accurately evaluate a city rainstorm flood risk area.

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 invention discloses a city vertical overall planning method and device, equipment, a medium and a product. The method comprises the steps of obtaining current situation basic data and planning basic data of a target city; according to the current situation basic data and the planning basic data, determining the lowest construction elevation of each region in the target city based on flood risk assessment; under the constraint of the lowest construction elevation, performing vertical planning partition division on the target city according to a preset partition division element and a partition division principle; and formulating a corresponding partition management and control strategy for each vertical planning partition. By the adoption of the technical means, global vertical planning and global overall planning of the city can be achieved, the problem of fragmentation of vertical planning of the oversized and extra-large city is solved, the use efficiency of urban space resources is improved, and flood disasters are effectively dealt with.

The present application relates to satellite hydrological data processing technical field, specifically disclose a kind of GRACE data super-resolution network spatial downscaling method of fusion geographic information and environmental variable, comprising: S1, the original resolution GRACE data and original GLDAS data of research area are obtained, and these data are preprocessed;S2, the data obtained in step S1 is divided into training set and test set, and the training set is used to train GRACE data spatial downscaling model, to obtain the discriminator and generator after training;S3, the low-resolution data of GRACE in test set and the high-resolution environmental variable corresponding to the data at the moment are input into the generator trained in step S2, and finally the high-resolution GRACE image after downscaling is obtained.The present application can be used not only for regional scale groundwater storage dynamic monitoring, flood risk assessment, but also can be applied to agricultural drought monitoring, ecological hydrological process simulation and other scenes.

The application provides a new flood risk assessment method, which comprises the following steps: obtaining a flood risk factor; the risk factor comprises a maximum submerged water depth, a maximum flow rate and a submerged duration; and calculating a risk degree R value in a submerged range corresponding to a preset flood occurrence frequency by constructing a GIS grid algorithm, so as to expand a calculation domain of each frequency flood risk factor to the submerged range, thereby the flood risk assessment can be performed on the maximum submerged range. The GIS grid algorithm is constructed to expand the submerged range of all frequency floods to the maximum submerged range in the calculation domain, so that the risk degree R value in the maximum submerged range can be calculated, thereby the flood risk assessment can be performed on the maximum submerged range, and the region ignored by the traditional algorithm is corrected.

To provide an inundation risk evaluation support device and an inundation risk evaluation support program capable of identifying a location requiring a countermeasure for suppressing inundation with respect to an evaluation target space in a building.SOLUTION: An inundation risk evaluation support device 10 is provided in a building, and includes: a derivation unit 11A configured to, with at least one of a plurality of spaces connected to adjacent spaces through openings as an evaluation target space, derive an inundation risk value indicating the level of risk of inundation from each opening existing in a route from outside the building to the evaluation target space; and a presentation unit 11B configured to present situation information indicating a situation of inundation risk due to the openings provided in the route, using the inundation risk values derived by the derivation unit 11A.SELECTED DRAWING: Figure 2