50 results about "Runoff coefficient" patented technology

The invention relates to the technical field of data processing, and discloses a geological disaster meteorological risk early warning method and system based on machine learning. The method comprises the following steps: acquiring rainfall intensity, soil saturation, underground water level change and slope runoff coefficient by a multi-source sensor, and constructing a geological disaster meteorological data set; performing sensitivity weight distribution on the meteorological factors according to geological conditions to obtain a weight matrix; carrying out weighted fusion on the weight matrix and meteorological time series data, and extracting features through a geological constraint long-short-term memory network to obtain a risk probability vector; dynamically adjusting an early warning threshold value based on the safety coefficient change rate; and carrying out Bayesian fusion on the risk probability vector and an adaptive early warning threshold to obtain a graded early warning result. The technical problem that an existing geological disaster early warning technology lacks a multivariate meteorological factor intelligent weight distribution and geological condition adaptive threshold adjustment mechanism is solved.

The invention relates to the technical field of computer aided design and intelligent optimization, in particular to a sponge park multi-objective collaborative optimization design method based on an LID technology, and the method comprises the steps: building an LID facility parameterized database through collecting the multi-source data of geographic space, hydro meteorology and the like; a multi-objective collaborative optimization model covering hydrological, ecological, economic and social benefits is established, a mixed intelligent optimization algorithm composed of an improved NSGA-II algorithm and an enhanced particle swarm optimization algorithm is used for solving, and a Pareto optimal solution set is generated; screening a comprehensive optimal scheme by means of an SWMM and GIS coupling technology and an improved TOPSIS method; an Internet of Things monitoring network and a digital twinborn system are deployed, and self-adaptive dynamic optimization of a design scheme is realized according to triggering conditions such as runoff coefficient deviation and vegetation coverage rate change. The method breaks through the limitation of a traditional single target, remarkably improves the comprehensive benefits of the sponge park through multi-target cooperation, intelligent algorithm optimization and dynamic adjustment, and guarantees the long-term stable operation of the sponge park in a complex environment.

The invention provides a water environment model coupling data processing method and system, and relates to the technical field of hydrology and water quality monitoring. The method comprises the following steps: determining a soil permeability characteristic descending trend and estimating an uncertainty range of a runoff coefficient; obtaining source model data according to the uncertainty range of the runoff coefficient by using a regional pollution production and convergence model; using the one-dimensional river network model to obtain error information according to the source model data, and outputting prediction data; and determining a prediction deviation mode by comparing the prediction data with the real-time monitoring data, and correcting parameters of all related models in the whole model chain. The method aims at solving the technical problem that the permissible discharge amount set based on a three-model coupling system does not conform to the actual absorption capacity of a water body due to continuous nonlinear deviation of river network model prediction and actually measured water quality data in the three-model coupling system, and accurate analysis of the urban pollution load and water environment quality response relation is achieved. And real-time and self-adaptive adjustment of the permissible emission amount is carried out.

The invention discloses a rainfall runoff simulation method for performing session flood data cleaning based on a dynamic threshold value. The rainfall runoff simulation method comprises the following steps: collecting actually measured rainfall and section flow data of a target drainage basin in a multi-year hour scale; performing flood event segmentation on the continuous rainfall runoff data sequence of the target drainage basin based on the flow hydrograph morphological characteristics, and extracting rainfall runoff data corresponding to each flood session; through preliminary rainfall screening, rainfall runoff total amount comparison screening and fine screening based on runoff coefficient truncation analysis, abnormal flood sessions with unreasonable magnitude relationships in the rainfall-runoff data are identified and eliminated; by screening key time points in the flood process, flood session data with an abnormal time sequence is eliminated; and taking the cleaned flood data as the input of the session hydrological model, and carrying out normal simulation. According to the method, the flood data cleaning process is standardized, unreasonable flood session data are eliminated in advance, input data are ensured to be clean, and thus the flood forecasting precision is improved.

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 application discloses a kind of regional type's water source conservation function and runoff coefficient's evaluation method, including the following steps: obtaining the optical remote sensing image of the region to be evaluated, soil data, precipitation data and evapotranspiration data, analysis processing;According to the ecological system classification data and soil zoning curve value, the runoff capacity grid of each pixel corresponding to different ecological system types different soil zoning is calculated;Obtain the runoff observation data of the region to be evaluated, combine runoff capacity grid, and the runoff observed is proportionally distributed to each pixel, and the runoff depth of each pixel is obtained;According to precipitation, evapotranspiration and runoff depth, the water source conservation amount and runoff coefficient corresponding to each pixel of the region to be evaluated are obtained.The application relates to the technical field of ecological system water source conservation, and the runoff index and runoff depth of each pixel are calculated by fusing multi-source data, so that the accuracy of evaluating the water source conservation service function and runoff coefficient of the region is improved.

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 invention provides a flood prediction method, device and equipment for a mountainous area hydropower station. The method comprises the steps of obtaining meteorological data in a drainage basin where the mountainous area hydropower station is located in real time; the meteorological data comprises rainfall data, flow data and water level data; respectively inputting the meteorological data into a plurality of pre-constructed flood prediction models, and determining a prediction result of each flood prediction model in the current period; wherein the flood prediction model comprises a time sequence model, a hydrological model and an LSTM and runoff coefficient model; determining a prediction error of each flood prediction model according to the prediction result and the water level data in the current period; according to the prediction error, determining a flood prediction model adopted in the next period and a corresponding prediction result; and issuing corresponding flood early warning according to the prediction result of the next period. According to the invention, through a multi-model parallel prediction and dynamic selection mechanism, the adaptation shortages of a single model under a complex water regimen are effectively made up, and the prediction error is further reduced.

This invention relates to the fields of reservoir scheduling, flood control and disaster reduction, and hydrological forecasting, and particularly to a method for calculating reservoir rainfall carrying capacity based on a dynamic runoff coefficient. The method includes the following steps: collecting data including the target reservoir's catchment area, characteristic water level, and water level-capacity relationship curves; establishing a dynamic equation for rainfall-runoff coefficient based on reservoir storage using the initial water level, characteristic water level, and storage capacity relationship curves; collecting and analyzing historical flood data for the target reservoir to generate parameter statistics tables for each flood event; establishing a dynamic equation for rainfall-runoff coefficient based on underlying surface conditions based on the parameter statistics tables for each flood event; and solving the dynamic equations based on reservoir storage and underlying surface conditions simultaneously. This invention relies on real-time water level and real-time rainfall to dynamically calculate reservoir rainfall carrying capacity, thus improving the accuracy of reservoir rainfall carrying capacity calculation.

A rainwater utilization method and system based on a sponge city, a medium and a product, relate to the technical field of sponge cities. The method comprises: obtaining the air conditioning cooling water demand and the low water quality water demand of a current scheduling period of a commercial complex; based on weather data of the current scheduling period, combining the catchment area and the runoff coefficient of the commercial complex, calculating the predicted rainwater inflow; determining the predicted water storage of the current scheduling period; obtaining the water demand and the predicted water storage of the next scheduling period; when it is predicted that the water quantity of the next scheduling period is insufficient, executing a rainwater conservation strategy in the current scheduling period, including calculating the minimum cooling water demand and the minimum irrigation water demand of the greenbelt, prioritizing the predicted water storage to meet the minimum water demand, and storing the remaining water storage to the next scheduling period. The present application solves the problem that the fixed water level grading based static scheduling method cannot cope with the fluctuation of water demand through forward-looking prediction and dynamic conservation strategy, and realizes efficient utilization of rainwater resources.

The application discloses a time-varying runoff coefficient calculation method and system reflecting urbanization underlying surface regulation and storage, and steps are as follows: S1, obtaining rainfall data of a city research area, drawing a column chart and a curve chart of a rainfall process, and extracting high-precision digital surface model data by using high spatial resolution satellite stereo image pair data; S2, performing grid processing on the high-precision digital surface model data, constructing a grid type, and performing land utilization division and extraction analysis; S3, calculating hydrological parameters including a basin water content parameter, vegetation interception, a filling and depression parameter and a infiltration parameter; S4, calculating building roof runoff, effective impervious area, non-effective impervious area, pervious area and water area based on the rainfall process, the land utilization division and the hydrological parameters; and S5, calculating a time-varying runoff coefficient. The application can accurately evaluate the availability of rainfall water resources, provide scientific guidance for urban rainwater collection and utilization, and provide a more reliable basis for urban flood forecasting and drainage system design.

The invention discloses a coupling coordination degree evaluation method and system based on a hydrological environment, drainage and waterlogging prevention facilities and a social system, and belongs to the field of system coupling coordination degree evaluation systems under the background of urban waterlogging. From two analyses, the first criterion layer of the hydrological environment system is rainfall, terrain and water permeability, and the second index layer is annual rainfall, gradient and comprehensive runoff coefficient. The drainage and waterlogging prevention facility system criterion layer is drainage facility and emergency rescue accessibility, the drainage facility index layer is drainage pipe network density, drainage pipe network capacity, pump station capacity and discharge passage density, and the emergency rescue index layer is fire-fighting emergency rescue accessibility. The criterion layer of the social system is economic and safety requirements, the index layer of the economic layer is total citizen production value and house price, and the indexes of the safety requirements are population density, schools and hospitals. And an index weight is calculated by adopting a subjective weight determination method and an objective weighting method, the collaborative development degree of the three systems is quantified, and quantitative evaluation of the coupling coordination degree of the three systems in the region is realized.

The application provides a water environment model coupling data processing method and system, and relates to the technical field of hydrology and water quality monitoring. The method comprises the following steps: determining the downward trend of soil permeability characteristics and estimating the uncertainty range of runoff coefficient; using a regional source-sink pollution model, obtaining source model data according to the uncertainty range of runoff coefficient; using a one-dimensional river network model, obtaining error information and outputting prediction data according to the source model data; and determining the prediction deviation mode by comparing the prediction data and real-time monitoring data and correcting the parameters of all related models in the whole model chain. The method aims to solve the technical problem that the prediction of the river network model deviates from the actual measurement data in a nonlinear manner in a three-model coupling system, which ultimately leads to the inconsistency between the permitted discharge amount set based on the system and the actual water body absorption capacity, and to realize the accurate analysis of the response relationship between the urban pollution load and the water environment quality and the real-time and self-adaptive adjustment of the permitted discharge amount.

The invention discloses a small watershed flood disaster grading monitoring and early warning method based on watershed landform characteristics, and relates to the technical field of small watershed flood monitoring, and the method comprises the following steps: pre-collecting landform topographic data, meteorological hydrological data and ecological hydrological data of a small watershed; the method comprises the following steps: acquiring infiltration capacity f (t) and a slope runoff coefficient C according to acquired landform and topographic data, meteorological and hydrological data and ecological hydrological data of a small watershed, calibrating a runoff production model according to the infiltration capacity f (t) to obtain total runoff production RZ, and calculating flood wave propagation velocity v in real time; and respectively obtaining a flood risk index FRI, a landslide susceptibility index LSI, a debris flow susceptibility index DFI and a soil salinization risk index SSI. According to the method, the runoff production models of different landform types are calibrated, and the total runoff production and the flood wave propagation speed are accurately calculated, so that a scientific basis is provided for obtaining various risk indexes, the risk assessment is more fit with the actual geographical environment and hydrological characteristics of the small watershed, and the accuracy and pertinence of disaster early warning are effectively improved.

The invention discloses a regional and classified water conservation function and runoff coefficient evaluation method, which comprises the following steps of: acquiring an optical remote sensing image, soil data, rainfall data and evapotranspiration data of a to-be-evaluated region, and analyzing and processing; calculating runoff capacity grids, corresponding to different ecosystem types and different soil partitions, of each pixel according to ecosystem classification data and soil partition curve values; obtaining runoff observation data of a to-be-evaluated area, and proportionally distributing the observed runoff to each pixel in combination with the runoff capacity grid to obtain the runoff depth of each pixel; and according to the precipitation amount, the evapotranspiration amount and the runoff depth, obtaining a water conservation amount and a runoff coefficient corresponding to each pixel of the to-be-evaluated area. The invention relates to the technical field of ecological system water conservation, multi-source data are fused, the runoff index and the runoff depth of each pixel are calculated, and the accuracy of evaluating the regional water conservation service function and the runoff coefficient is improved.

The invention provides a simple scheduling method for a small reservoir. The simple scheduling method comprises the following steps: collecting data; establishing a dynamic relation model; establishing a real-time water level-reservoir capacity relation model; calculating the rain receiving capability of the reservoir at different water levels by combining a real-time water level-reservoir capacity relation model; establishing a fuzzy rule base to obtain a scheduling decision result; and implementing the scheduling scheme. Historical data and field monitoring data are utilized, runoff generation rules of different soil types under different rainfall intensities are analyzed, and a runoff coefficient calculation model capable of reflecting comprehensive effects of various factors in real time is constructed in combination with seasonal changes of vegetation coverage and long-term evolution of a land utilization mode. When the rain receiving capacity is calculated, the model can dynamically adjust the value of the runoff coefficient according to real-time data of various actually monitored influence factors, so that the actual runoff condition is reflected more accurately, and the one-sidedness problem that the runoff coefficient is determined only according to a single factor in the prior art is solved.

This application relates to the field of data processing technology and discloses a method and system for geological disaster meteorological risk early warning based on machine learning. The method includes: collecting rainfall intensity, soil saturation, groundwater level changes, and slope runoff coefficients from multiple sensors to construct a geological disaster meteorological dataset; assigning sensitivity weights to meteorological factors according to geological conditions to obtain a weight matrix; weighting and fusing the weight matrix with meteorological time-series data, and extracting features through a geologically constrained long short-term memory network to obtain a risk probability vector; dynamically adjusting the early warning threshold based on the rate of change of the safety factor; and performing Bayesian fusion of the risk probability vector and the adaptive early warning threshold to obtain a graded early warning result. This application solves the technical problem of the lack of intelligent weight allocation for multiple meteorological factors and adaptive threshold adjustment mechanisms for geological conditions in existing geological disaster early warning technologies.

This invention discloses a rainfall-runoff simulation method for cleaning flood data based on dynamic thresholds. The method involves collecting multi-year hourly-scale measured rainfall and cross-sectional flow data from a target watershed; segmenting the target watershed's continuous rainfall-runoff data sequence into flood events based on the morphological characteristics of the flow process lines, extracting rainfall-runoff data corresponding to each flood event; identifying and removing abnormal flood events with unreasonable magnitude relationships in the rainfall-runoff data through preliminary rainfall screening, rainfall-runoff total volume comparison screening, and refined screening based on runoff coefficient truncation analysis; removing flood event data with abnormal temporal sequences by screening key time points during the flood process; and using the cleaned flood data as input to a hydrological model for normal simulation. This method standardizes the flood data cleaning process, preemptively removing unreasonable flood event data, ensuring clean input data, and thus improving flood forecast accuracy.

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 reservoir level prediction method and system. The method comprises the following steps: establishing a mapping relation between a reservoir level and a reservoir capacity; basic information, historical rainfall data and historical water level data of a reservoir are collected; calculating a historical runoff coefficient based on the historical rainfall data, the historical water level data, the mapping relation between the reservoir water level and the reservoir capacity and the reservoir basic information; predicting the reservoir capacity generated by rainfall according to the estimated rainfall, the reservoir basic information and the historical runoff coefficient; based on the reservoir basic information, the reservoir capacity generated by rainfall and the mapping relation between the reservoir level and the reservoir capacity, the predicted water level after rainfall is obtained. By means of the scheme, the runoff coefficient can be dynamically calculated according to the actual hydrological data of the reservoir, the real rainfall-runoff conversion efficiency of the reservoir can be reflected, along with continuous accumulation of historical data, the calculated historical runoff coefficient can be iteratively optimized and adapt to new hydrological conditions, and the accuracy of the subsequently predicted reservoir water level is higher.

The present invention discloses a method for diagnosing the problem of water volume imbalance in a basin hydropower station and correcting the outflow discharge, which includes the following steps: Step 1, organizing basic data; Step 2, calculating the probability distribution of the basin runoff coefficient; Step 3, for the data of unreasonable points and the data of points not falling within the confidence interval in Step 2, it is necessary to diagnose the problem according to the actual situation and judge whether there is a problem with the outflow discharge of the hydropower station corresponding to this point; Step 4, for Step 3, if there is a problem with the outflow discharge, establish the mathematical relationship between the outflow discharge of this hydropower station, the power generation discharge, and the flood discharge; calibrate the parameters α and β based on the data during the calibration period by calculating the runoff coefficient formula of this hydropower station and the downstream hydropower station; Step 5, calculate the outflow discharge of each period during the inspection period through the parameters α and β obtained during the calibration period. The present invention can handle the problem of large errors in the outflow discharge caused by water volume imbalance.

The application provides a flood calculation method and device for urban areas, and belongs to the technical field of urban drainage and flood control and disaster mitigation. The flood calculation method for urban areas comprises obtaining drainage data and divided grid data of the urban area; determining a corresponding runoff into-pipe peak value of each urban block based on a ground comprehensive runoff coefficient, a design rainstorm intensity and an urban block area of each urban block; determining a corresponding water storage parameter of each drainage subarea; and determining an into-pipe flow of each grid based on the corresponding water storage parameter of each drainage subarea, the corresponding runoff into-pipe peak value of each urban block, a runoff and confluence parameter of each urban block and rainfall data. By combining the discrete two-dimensional grid runoff with the generalized water storage unit of the drainage subarea, a numerical processing flow with physical constraints is constructed, and efficient and objective quantitative evaluation of the flood process of the area lacking data is realized.

The invention discloses an environment monitoring method and system based on dynamic planning, and relates to the technical field of environment monitoring, and the method comprises the steps: measuring and calculating the initial measurement total volume and initial measurement total area of a detected water body, detecting the initial measurement oxygen content and initial measurement ammonia nitrogen content of a sampled water body, obtaining the rainfall per unit area of a monitoring region within 24 hours, and calculating the initial measurement total volume and initial measurement total area of the detected water body; calculating to obtain actual oxygen content of the water body before being influenced by rainfall, calculating a correction coefficient of the ammonia nitrogen content in the water body influenced by time, calculating to obtain actual ammonia nitrogen concentration before being influenced by rainfall, and calculating to obtain a water body pollution index; the method comprises the following steps: acquiring a soil runoff coefficient of a monitored area, calculating the infiltration water amount of a sample collection point within 24 hours, measuring to obtain the content of primarily measured mercury metal and primarily measured cadmium metal, calculating to obtain the content of actual mercury metal and actual cadmium metal before being influenced by rainfall, and calculating to obtain a soil pollution index; and calculating a pollution emission index of each region, calculating to obtain a global pollution condition index, and calculating to obtain a global pollution prediction function.

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

The application provides a tailing pond rainfall safety early warning method, device, medium and computer equipment, the method comprises the following steps: calculating the water quantity into the reservoir based on the rainfall, rainfall intensity and catchment area; combined with the drainage flow, determine the flood discharge capacity difference; further fusion flood discharge difference and water level rising rate, build comprehensive early warning index; according to the index grade, execute grading emergency response measures, including monitoring, increasing drainage, personnel evacuation and sound and light alarm etc.. The surface runoff coefficient and water level sensitivity factor can be dynamically calibrated through the federal learning algorithm to adapt to the hydrological changes in different scenes. At the same time, the method also has a closed loop feedback mechanism, which can judge whether the risk is relieved in real time, if not below the early warning threshold, then automatically upgrade the response level. The method realizes the real-time and accurate evaluation and active response of the tailing pond rainfall risk, improves the sensitivity and robustness of the early warning system, and significantly enhances the safety management ability of the tailing pond.

The invention discloses a method for determining a design water surface line of a multi-direction and multi-point outflow river channel in a plain river network area, which comprises the following steps of: calculating design rainstorm in different recurrence periods and different durations, and carrying out rain pattern time history distribution to obtain a design rainstorm process; analyzing various underlying surfaces of the target area and determining a runoff coefficient; according to the area ratio of various underlying surfaces, designing a rainstorm process and a runoff coefficient, calculating runoff production and confluence, and obtaining an inflow process along the riverway; establishing a river network mathematical model; a riverway along-way inflow process calculated by flow production and concentration in an upstream area is used as a flow boundary, a coastal tide level process or a designed control water level in a leakage bearing area is used as a water level boundary, a plurality of riverway outlet schemes with different frequencies are prepared by combining riverway water level control conditions, and riverway on-way water levels under different schemes are calculated through a river network mathematical model; the water surface line is designed. According to the invention, the planning design and scheduling management capability and level of the multi-direction and multi-point outflow river channel can be improved.

The invention relates to the technical field of municipal administration, and discloses a rainwater pipe network usage amount calculation method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining the regulation and storage information of regulation and storage facilities arranged in each land block in a target region, the actual area corresponding to each underlying surface in the target region, and the historical rainfall information; calculating the equivalent accounting area of each plot according to the regulation and storage information of the regulation and storage facility of each plot in the target area, the historical rainfall information, the rainfall runoff coefficient of each underlying surface and the actual area; and calculating the rainwater pipe network usage amount of each plot according to the proportion of the equivalent accounting area of each plot in the target area. According to the method, the conditions of rainwater infiltration and accommodation of the regulated and stored facilities are fully considered, and the estimated usage amount of the rainwater pipe network on the basis is more suitable for the actual condition.

The invention provides a tailing pond rainfall safety early warning method and device, a medium and computer equipment. The method comprises the steps that the water storage amount is calculated based on the rainfall capacity, the rainfall intensity and the water catchment area; determining a flood drainage capacity difference value in combination with the drainage flow; the flood drainage difference value and the water level rising rate are further fused, and a comprehensive early warning index is constructed; and according to the index grade, executing graded emergency response measures including monitoring, emission increasing, personnel evacuation, sound-light alarm and the like. The surface runoff coefficient and the water level sensitivity factor can be dynamically calibrated through a federated learning algorithm to adapt to hydrological changes in different scenes. Meanwhile, the method is further provided with a closed-loop feedback mechanism, whether the risk is relieved or not is judged in real time, and if the risk is not reduced to be below the early warning threshold value, the response level is automatically upgraded. According to the method, real-time and accurate evaluation and active response of the tailing pond rain condition risk are realized, the sensitivity and robustness of an early warning system are improved, and the safety management capability of the tailing pond is remarkably enhanced.

This invention belongs to the field of data processing technology, specifically relating to a method and system for flash flood disaster early warning based on meteorological and hydrological collaborative analysis. The method includes: acquiring and processing topographic datasets and rainfall data sequences as model inputs for the target early warning area; acquiring multiple topographic geometric parameters for calculating terrain energy; calculating the current terrain energy; accumulating the unit previous impact rainfall, the mean of previous target rainfall across all grid cells, and the standard deviation of previous target rainfall; calculating the current dynamic runoff coefficient; obtaining the current runoff intensity; calculating the current runoff velocity based on the regulatory effect of dynamic hydrological conditions on the static base flow velocity determined solely by topography; and inputting the current runoff velocities of all grid cells within the target early warning area into a distributed hydrological model for early warning. This invention solves the problem that existing distributed hydrological models cannot dynamically reflect differences in runoff generation and runoff changes.

The invention relates to the technical field of semantic comprehension, in particular to a water and soil conservation report auxiliary auditing system based on semantic comprehension, which comprises a landform data module, a semantic extraction module, a gap recognition module, a classification judgment module and a structure optimization module. According to the method, the position data is detected through normalization processing, the hydrological response trajectory model is input, the multi-source heterogeneous geographic information parameters are integrated, the dynamic association between the runoff coefficient and the soil erosion modulus is established, the influence of data dimension difference is reduced, and the geographic feature quantification precision is improved; a hydrological coefficient threshold is used for screening key areas, water conservation measure information is extracted, target matching verification capability is enhanced, automatic mapping of measures and indexes is realized through an archiving mechanism, abnormal area identification pertinence is enhanced, track gap points and statement context analysis are combined, a classification algorithm is used for identifying a missing mode, dynamic context adaptability is improved, and the method is suitable for mass production. The workload of manual rechecking is reduced, and a closed-loop link from geographic feature analysis to compliance verification is formed.