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30 results about "Rainfall index" patented technology
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Prediction method for power transmission line mountain fire caused by multiple factors
InactiveCN103971177ARealize the quantitative prediction of wildfireIntuitive guidanceForecastingVolumetric Mass DensityOperability
The invention discloses a prediction method for a power transmission line mountain fire caused by multiple factors. The prediction method comprises the steps that (1) a grid is divided into prediction regions; (2) historical fire point density A is calculated; (3) current fire point density B is calculated; (4) the rainfall index C in every day of the following three to seven days is calculated; (5) the historical rainfall index D is calculated; (6) the high-frequency period E of industrial and agricultural fires is found out; (7) the ground surface vegetation index F is calculated; (8) mountain fire prediction density X is calculated. By means of the prediction method, mountain fire occurrences in the following three to seven days can be predicted; the operability is high; the accuracy rate of forecasting is high, quantitative prediction is realized, and the power transmission line mountain fire prevention work can be effectively guided; according to a prediction conclusion, a corresponding emergency scheme can be made in time, the mountain fire can be handled in advance, and loss caused by the mountain fire to places nearby a power transmission line is reduced.
Owner:STATE GRID CORP OF CHINA +2
Electric transmission line rainstorm disaster fine prediction method and system based on inverse algorithm
ActiveCN108960599AAchieving Risk Prediction of Rainstorm DisasterEasy to operateResourcesSpecial data processing applicationsElectric power systemPower grid
The present invention relates to the field of meteorological disaster early warning of an electrical power system, and discloses an electric transmission line rainstorm disaster fine prediction methodand system based on an inverse algorithm which are used to refine a rainstorm disaster prediction result to a concrete electric transmission line. The method comprises the steps of: generating a rainfall lattice point prediction file comprising rainstorm disaster index prediction value of each lattice point through a rainstorm disaster prediction and calculation model, and employing the space search of a power grid GIS to perform space intersection for the electric transmission line tower coordinate information and obtain the electric transmission line tower information of a rainstorm area; employing a power grid GIS space line to form electric transmission line space information of a rainstorm disaster; and employing a meteorological factor space interpolation method and combining the electric transmission line of the rainstorm disaster influence to generate an electric power line rainstorm disaster prediction and early warning distribution map through the rainstorm disaster prediction lattice point file, employing the same color to describe the electric transmission lines in the same rainstorm disaster index, and employing other colors to distinguish the electric transmission lines in different rainfall indexes.
Owner:STATE GRID HUNAN ELECTRIC POWER +2
Glacial lake burst early-warning method
ActiveCN102831752AImprove effectivenessTake advantage ofRainfall/precipitation gaugesAlarmsObservatoryClimate index
The invention discloses a glacial lake burst early-warning method. Aiming at the defects that the adopted index is not reasonable, modification on observation data is over-simple in the existing glacial lake burst early-warning method, the invention provides the glacial lake burst early-warning method comprehensively considering the affects from an atmospheric temperature and the rainfall condition. According to the method, long-term observation data of temperature and rainfall in an observatory station is obtained and analyzed by a control center, a cumulative positive temperature daily increasing speed value TV in early days of a forecast date and a rainfall daily increasing speed value RV in early 30 days of the forecast date are calculated, and the TV value and the RV value are simultaneously subjected to double-index comparison with a burst warning curve RV=2.7214TV<-0.956> to judge the burst risks of the glacial lake, and an alarming system is started by the control center if necessary. According to the method, the corresponding relationship between two specific indexes of the cumulated temperature daily increasing speed value and the rainfall daily increasing speed value in early 30 days which are selected from numerous temperature and rainfall indexes and the glacial lake burst danger is determined, and the burst early-warning curve is determined. The forecast is carried out according to a more comprehensive and reasonable climate index, so the early-warning effectiveness is increased.
Owner:INST OF MOUNTAIN HAZARDS & ENVIRONMENT CHINESE ACADEMY OF SCI
Hydrological drought forecasting and early warning method based on meteorological drought transmission
InactiveCN108732649AReducing the Risk of Drought DisastersReduce social and economic lossesWeather condition predictionBest fittingResponse model
The invention discloses a hydrological drought forecasting and early warning method based on meteorological drought transmission. A standard rainfall index is selected to represent the meteorologicaldrought, and the standardized runoff index is selected to represent the hydrological drought. The drought occurrence time, the drought duration time, the drought duration time, the average drought strength, and the drought intensity are selected to be used for analyzing the drought characteristic from the meteorological drought to the hydrological drought. Based on the calculated SSI index sequence and the SPI index sequence having 1-24 month time scale, the time scale corresponding to the SPI index having the most correlation with the SSI index is determined by adopting a Pearson correlationmethod, and is marked as SPIn. Based on the SSI index sequence and the SPIn index sequence, a response model from the hydrological drought to the meteorological drought is established. Based on a response model having the best fitting degree, the drought characteristic threshold range required by hydrological drought with different drought levels is analyzed and calculated. According to the intensity and duration information of meteorological drought, a plurality of large-strength and long-lasting hydrological drought can be judged in the future.
Owner:HOHAI UNIV
Design flood derivation method and system based on equal reliability in climatic change scene
ActiveCN111611692AEasy to operateDesign optimisation/simulationSpecial data processing applicationsHydrometryPrincipal component analysis
The invention discloses a design flood derivation method and system based on equal reliability in a climatic change scene. The invention belongs to the field of reservoir flood control safety design.A future climate change scene is obtained based on global climate mode output and a two-stage deviation correction method considering meteorological variable correlation; a VIC distributed hydrological model is driven to obtain a runoff situation considering the influence of climate change; a principal component analysis method is adopted to preferably select an extreme rainfall index influencingflood characteristics as a covariable; a time-varying hydrological frequency analysis model is constructed by considering inconsistency of a flood sequence, a flood design value combination under a climatic change scene is deduced based on an equal reliability method, a most possible value is adopted as a final design value, and a 95% confidence interval is selected to estimate uncertainty of thefinal design value. According to the method, the influence of climate change on flood characteristics can be fully considered, and an important reference basis with high operability can be provided for deducing adaptive design flood in a climate change scene.
Owner:WUHAN UNIV
Wheat scab monitoring method based on satellite remote sensing
PendingCN110363675AAvoid interferenceDescribe wellData processing applicationsColor/spectral properties measurementsDisease monitoringSensing data
The invention discloses a wheat scab monitoring method based on satellite remote sensing, and belongs to the technical field of remote sensing monitoring, and the method comprises the steps: firstly obtaining the remote sensing data and meteorological rainfall data of a wheat planting region in a predicted year and N years before the predicted year, wherein the remote sensing data comprise multispectral data and thermal infrared remote sensing data; calculating a relative growth vigor index by utilizing the multispectral data; obtaining a normalized surface temperature index by using the multispectral data and the thermal infrared remote sensing data; obtaining a normalized precipitation index by using the meteorological precipitation data; and finally, calculating the wheat scab incidenceindex of the predicted year by utilizing the relative growth vigor index, the normalized earth surface temperature index and the normalized rainfall index. According to the method, the interference of the difference of wheat growth vigor in different areas in large-scale monitoring on the gibberellic disease monitoring model can be well reduced, and the objectivity and practicability of gibberellic disease remote sensing monitoring are improved.
Owner:中科光启空间信息技术有限公司
Mountain torrent disaster critical rainfall index calculation method and system
The invention discloses a mountain torrent disaster critical rainfall index calculation method and system. The mountain torrent disaster critical rainfall index calculation method comprises the steps:determining a characteristic time period of a mountain torrent disaster; carrying out sliding statistics on the excitation rainfall of each characteristic time period; calculating early-stage influence rainfall corresponding to the excitation rainfall in each characteristic time period; based on the excitation rainfall of each characteristic time period where the mountain torrent disaster occursand the early-stage influence rainfall corresponding to the excitation rainfall, constructing an excitation rainfall and early-stage effective rainfall state space of each characteristic time period of the mountain torrent disaster; based on the Fisher algorithm and the state space, establishing a critical relationship model of exciting rainfall and early-stage influencing rainfall in each characteristic time period of the mountain torrent disaster, obtaining a classification linear discriminant equation, and calculating a critical rainfall value of each characteristic time period according tothe classification linear discriminant equation; and inputting the excitation rainfall of each characteristic time period of the to-be-identified disaster prevention object and the early-stage influence rainfall corresponding to the excitation rainfall of each characteristic time period into the critical relationship model, and outputting an alarm or non-alarm result.
Owner:UNIV OF JINAN
Critical rainfall estimation method based on rainfall spatial distribution
ActiveCN109993350AGuaranteed accuracyGuaranteed reliabilityClimate change adaptationForecastingRainfall estimationEstimation methods
The invention discloses a critical rainfall estimation method based on rainfall spatial distribution. The critical rainfall estimation method comprises the steps that firstly, estimating the confluence flow velocity in each grid unit in a hydrological response unit secondly, on the basis of the confluence flow velocity in each grid unit, obtaining a confluence time grid in the drainage basin; performing spatial interpolation on the time-interval rainfall data observed by the station to obtain a rainfall spatial distribution grid, and combining the convergence time grid to obtain a time-interval dynamic rainfall index; counting an accumulated dynamic rainfall index before a flood peak occurs in the flood process; then counting the tension water content saturation, namely the initial soil water content saturation, of the day before the flood process begins; finally, whether the flood is an over-alarm flood is judged, and making a cumulative dynamic rainfall indicator - initial soil watercontent saturation scattering point graph on the basis of multiple floods and i, marking points corresponding to the overwanted flood, and drawing a critical rainfall line in combination with the points corresponding to the overwanted flood.
Owner:HOHAI UNIV
Debris flow probability measuring and calculating method and debris flow multi-factor cooperative monitoring and early warning method
ActiveCN114511990ARainfall/precipitation gaugesMachines/enginesSoil scienceEnvironmental engineering
The invention discloses a debris flow probability measuring and calculating method and a debris flow multi-element cooperative monitoring and early warning method. The invention provides a drainage basin debris flow occurrence collaborative probability measuring and calculating method, and aims to overcome the defect that prediction values of various monitoring data of an existing multi-element debris flow occurrence prediction scheme are not fused and utilized. The method comprises the following steps: firstly, respectively measuring and calculating corresponding relations Rr and Rn between a rainfall index and a section mud level index and debris flow occurrence probabilities, then calculating debris flow occurrence probabilities pr and pn under different conditions, and finally determining a drainage basin debris flow occurrence cooperation probability pob according to a multi-element cooperation rule. The method optimization comprises the step of respectively selecting the early-stage rainfall and the debris flow depth as specific water and soil indexes to construct a strict water and soil coupling mechanism type debris flow occurrence prediction technology. The invention further provides a debris flow monitoring and early warning method and various application schemes. According to the invention, debris flow and environment multi-element monitoring values are fused and reflected in debris flow occurrence evaluation, and real debris flow multi-element cooperative monitoring and early warning are realized.
Owner:INST OF MOUNTAIN HAZARDS & ENVIRONMENT CHINESE ACADEMY OF SCI
Rainfall-type geological hazard warning and prediction model based on RBFN machine learning and a learning method
InactiveCN109255485ASmall amount of calculationAvoid the pitfalls of determining thresholdsForecastingNeural learning methodsHidden layerArray data structure
The invention discloses a rainfall-type geological hazard warning and prediction model based on RBFN machine learning and a learning method thereof, belonging to a geological hazard monitoring technology. The model comprises an input layer, a hidden layer and an output layer. The input layer is a vector X=(x1,x2), wherein x1 is soil raining amount indix and x2 is hour raining amount. The output layer is a scalar RBFN value; The hidden layer is composed of m radial basis functions. The unit of operation of an array composed of hidden layers is the node of the hidden layers, which contains a central vector c and has the same dimension as the parameter vector x of the input layer. With taking rainfall as the main inducement of disasters, rainfall and actual disasters as a priori events, a rainfall-type geological hazard early warning and prediction model is established. The RBFN model is used to classify the early warning units by introducing soil rainfall index and machine learning algorithm into dimensionless soft thresholds, which avoids the drawbacks of subjective and statistical methods in the past.
Owner:NANJING CENT CHINA GEOLOGICAL SURVEY
Data processing method and device applied to rainfall forecast, equipment and medium
PendingCN114154705AImprove accuracyImprove the level ofForecastingDesign optimisation/simulationTerrainNumerical models
The invention provides a data processing method and device applied to rainfall forecast, equipment and a medium. The data processing method applied to rainfall forecast comprises the following steps: determining an inversion rainfall rule according to historical rainfall data, and determining at least one rainfall index according to current rainfall data; based on an inversion rainfall rule, obtaining at least one piece of current inversion rainfall data corresponding to the at least one rainfall index one by one; and processing the current inversion rainfall data, and determining average rainfall forecast data corresponding to the current rainfall data. Therefore, by means of the terrain following coordinate system objective rainfall forecasting method based on at least one rainfall index numerical forecasting, the numerical model forecasting potential can be brought into full play, the accuracy of numerical model rainfall forecasting can be improved, and the rainfall forecasting level or capacity of mountainous areas and drainage basins with steep terrains can be improved.
Owner:GUODIAN DADU RIVER POWER ENG +1
Animal husbandry drought loss dynamic assessment method
InactiveCN110009162AHigh precisionIncreased sensitivityForecastingResourcesEcosystem modelCarrying capacity
The invention discloses an animal husbandry drought loss dynamic assessment method, which comprises the following steps: collecting data and preprocessing the data to drive an ecosystem model and calibrate the ecosystem model; calculating a standard rainfall index, and performing drought identification by using the standard rainfall index; calculating a difference value between the average herbageyield of the normal year and the average herbage yield of the drought year, and evaluating the influence of drought events of different grades on the herbage yield; evaluating the influence of drought on the animal carrying capacity through quantitative conversion and equivalent replacement of the pasture-animal carrying capacity, calculating the number of lost sheep units, and evaluating the economic loss value of a drought disaster according to the price of the sheep units; and constructing a drought loss assessment dynamic model and carrying out dynamic assessment on the drought loss. Byadopting the technical scheme of the invention, the influence of the drought on the grassland productivity can be accurately evaluated, the method has higher precision, sensitivity and applicability,and the animal husbandry economic loss caused by the drought can be quickly evaluated.
Owner:CHINA INST OF WATER RESOURCES & HYDROPOWER RES
Drought propagation time calculation method based on conditional probability high temporal-spatial resolution
PendingCN113946796AImprove calculation accuracyComplex mathematical operationsSoil scienceHigh spatial resolution
The invention discloses a drought propagation time calculation method based on conditional probability high spatial-temporal resolution, which comprises the following steps of: step 1, collecting specified rainfall data and soil humidity data, and processing the rainfall data and the soil humidity data into a ten-day scale sequence to obtain gridding rainfall data and soil humidity data with high spatial resolution; step 2, calculating a standardized rainfall index, and calculating a standardized soil humidity index; step 3, establishing joint distribution with an optimal dependency relationship between the standardized rainfall index and the standardized soil humidity index; and step 4, calculating the occurrence probability of agricultural drought caused under different levels of meteorological drought conditions, setting a threshold interval, and if the occurrence probability of the agricultural drought reaches a threshold value requirement, obtaining the propagation time from the meteorological drought to the agricultural drought. According to the method, the calculation precision of the drought propagation time is improved, and guidance can be provided for agricultural water resource management and agricultural drought prevention.
Owner:XIAN UNIV OF TECH
Method for analyzing correlativity between ENSO index and rainfall based on factorial design
PendingCN113688536AResolve uncertaintySolve the impactDesign optimisation/simulationResourcesAtmospheric sciencesData treatment
The invention discloses a method for analyzing correlativity between an ENSO index and rainfall based on factorial design, and belongs to the technical field of climate remote correlation. The method comprises the following steps: 1, collecting an ENSO index and rainfall data of a research area; 2, processing rainfall data of the research area into a monthly mean value, a monthly extreme value and a monthly abnormal value rainfall matrix along a time sequence and a spatial position; 3, calculating the influence of each factor and the interaction between the factors on the response variable, screening out the factor with the maximum influence and the factor level, and determining a factor combination with the most significant correlation between the ENSO index and the rainfall index of the specific region; 4, arranging the ENSO indexes into a matrix which is in one-to-one correspondence with the precipitation index time sequence and is 1-1 month earlier than the precipitation indexes; and 5, checking the correlation through a t-test formula. According to the method, the problem of uncertainty between the ENSO index and the rainfall correlativity of different regions is solved; and the influence of interaction between different factors on the correlativity can be analyzed.
Owner:NORTH CHINA ELECTRIC POWER UNIV (BAODING)
Satellite-borne detection data global ocean rainfall type discrimination device and method
PendingCN114019513ASolving Mixing ProblemsSolve the problem of not being able to distinguish the type of rainfallRadiation thermographyICT adaptationSurface oceanData set
The invention discloses a satellite-borne detection data global ocean rainfall type discrimination device and method. The device comprises an ocean rainfall pixel discrimination module based on microwave imager ocean rainfall product data, a data quality control module in the ocean area based on satellite-borne microwave data, a rainfall type rain index value calculation module for observing brightness temperature based on a microwave imager, a convection rain probability calculation module in a microwave imager pixel, a data processing module for a rainfall index value data set and a tropospheric rainfall probability data set, and a rainfall type discrimination module in a microwave imager observation pixel. The influence factors of the microwave imager for observing the ocean surface rainfall type discrimination are disclosed, a new method is provided for research and development of business products such as rainfall types of the FY-3 microwave imager in China, and a foundation is laid for improving the subsequent rainfall inversion precision.
Owner:SHANGHAI SPACEFLIGHT INST OF TT&C & TELECOMM
Logistic regression-based power grid maintenance index calculation method and logistic regression-based power grid maintenance index calculation system
ActiveCN110232532AFully reflect the status of meteorological elementsResourcesInformation technology support systemElectric power transmissionLongitude
The invention relates to the technical field of power transmission and distribution, and discloses a logistic regression-based power grid maintenance index calculation method and system, which are used for realizing calculation of a power grid maintenance index based on meteorological elements and providing a guarantee for reasonable arrangement of power grid maintenance. The method comprises thesteps of obtaining basic information of a to-be-overhauled power transmission line, establishing a basic database, and establishing a weather database of precipitation day by day in an area where theto-be-overhauled power transmission line is located; predicting the daily maximum temperature and relative humidity of the area where the power transmission line to be overhauled is located and the daily precipitation of seven days in the future by adopting a numerical mode; carrying out grid division on the region where the power transmission line to be overhauled is located according to latitudeand longitude, and corresponding to the numerical mode result; defining a high-temperature index, a rainfall index and an icing index, calculating a power grid maintenance probability according to the high-temperature index, the rainfall index and the icing index, determining the power grid maintenance index according to the power grid maintenance probability, and judging whether maintenance is needed according to the power grid maintenance index.
Owner:STATE GRID HUNAN ELECTRIC POWER +2
Rainfall sediment transport model construction method suitable for multi-landform type region
ActiveCN113095694AImprove accuracyEfficiencyForecastingDesign optimisation/simulationSediment transportAtmospheric sciences
The invention provides a rainfall sediment transport model construction method suitable for multiple landform type areas, and the method comprises the steps: analyzing rainfall characteristic indexes and subarea sediment transport of different landform type areas of a watershed according to rainfall data of a rainfall station of the watershed, actually measured sediment transport data of a hydrometric station and area data of the different landform type areas; adopting a non-parametric statistical test method to analyze the modeling representative time period, obtaining an analysis result, constructing single-index rainfall sediment transport models of different landform type areas according to the analysis result, the rainfall characteristic indexes of the different landform type areas of the watershed and the subarea sediment transport amount, analyzing, judging and screening the effective rainfall indexes, constructing a partition multi-index rainfall sediment transport model based on the screened effective rainfall indexes, carrying out quantitative constraint on a value range of parameters in the partition multi-index rainfall sediment transport model to obtain a partition optimal model, calculating the sediment transport amount of the whole watershed by adopting the partition optimal model, and analyzing the rationality of the partition optimal model according to the sediment transport amount of the whole watershed. Operation is easy, and results are reliable.
Owner:YELLOW RIVER ENG CONSULTING
A Debris Flow Early Warning Method
ActiveCN108694816BRealize early warningHigh precisionForecastingAlarmsEnvironmental resource managementEngineering
The invention relates to a mud-rock flow early warning method, comprising: obtaining the specific values of key influencing factors of the mud-rock flow to-be-early-warning area during the observation period t; The early warning value of the key trigger factor. The debris flow early warning method provided by the present invention is based on the multi-area debris flow triggering and early warning binary tree that characterizes the non-linear functional relationship between the rainfall index of different gully debris flows and its watershed area, loose material rate and average slope of the ditch bed, and realizes debris flow under different geological environment backgrounds Early warning, high precision and high reliability.
Owner:BEIJING GEOLOGY INST
Calculation method and system for critical rainfall index of mountain torrent disaster
Owner:UNIV OF JINAN
A Critical Rainfall Estimation Method Based on Spatial Rainfall Distribution
ActiveCN109993350BGuaranteed accuracyGuaranteed reliabilityClimate change adaptationForecastingHydrometryRainfall estimation
The invention discloses a method for estimating critical rainfall based on the spatial distribution of rainfall. Firstly, the confluence flow velocity in each grid unit in the hydrological response unit is estimated; Confluence time grid; then spatial interpolation is performed on the period-by-period rainfall data observed at the station to obtain a rainfall spatial distribution grid, and combined with the confluence time grid to obtain a period-by-period dynamic rainfall index; the accumulated dynamic rainfall before the flood peak during the flood process is counted index; then count the tension water content saturation of the day before the flood process, that is, the initial soil water content saturation; finally judge whether the flood is a super-warning flood, and make the cumulative dynamic rainfall index of multiple floods - initial soil water saturation dispersion Point map, and mark the points corresponding to the super-warning flood, and draw the critical rainfall line in combination with the points corresponding to the super-warning flood.
Owner:HOHAI UNIV
Design flood estimation method and system based on equal reliability under climate change scenarios
ActiveCN111611692BEasy to operateDesign optimisation/simulationSpecial data processing applicationsHydrometryPrincipal component analysis
Owner:WUHAN UNIV
A method and system for clustering and quantitative forecasting of mountain fires on transmission lines
The invention discloses a power transmission line mountain fire clustering quantitative forecasting method. In steps 1-3, the multi-time coordinate mountain fire forecasting time axis is obtained by means of a cluster analysis method, and the optimal forecasting scale of the forecasting area is obtained by the spatial scale contrast analysis method; and on this basis, in steps 4-5, a forecasting model is established according to the space-time distribution rule obtained in the steps 1-3, and the daily mountain fire amount in the area is forecasted. The invention further discloses a power transmission line mountain fire clustering quantitative forecasting system. By calculating the node historical mountain fire points of each space unit, the air humidity suppressing coefficient and the combustible matter damping coefficient of the day to be measured, the mountain fire forecasting rainfall index of the day to be measured, and the continuous drought influence factor of the day to be measured, the mountain fire generation expect number of the day to be measured of each space unit is predicted, the operationality is high, the forecasting accuracy is high, and the power transmission line mountain fire quantitative forecasting refinement degree is improved.
Owner:HUNAN XIANGDIAN POWER TEST & RES TECH LTD
Glacial lake burst early-warning method
ActiveCN102831752BImprove effectivenessTake advantage ofRainfall/precipitation gaugesAlarmsObservatoryObservation data
The invention discloses a glacial lake burst early-warning method. Aiming at the defects that the adopted index is not reasonable, modification on observation data is over-simple in the existing glacial lake burst early-warning method, the invention provides the glacial lake burst early-warning method comprehensively considering the affects from an atmospheric temperature and the rainfall condition. According to the method, long-term observation data of temperature and rainfall in an observatory station is obtained and analyzed by a control center, a cumulative positive temperature daily increasing speed value TV in early days of a forecast date and a rainfall daily increasing speed value RV in early 30 days of the forecast date are calculated, and the TV value and the RV value are simultaneously subjected to double-index comparison with a burst warning curve RV=2.7214TV<-0.956> to judge the burst risks of the glacial lake, and an alarming system is started by the control center if necessary. According to the method, the corresponding relationship between two specific indexes of the cumulated temperature daily increasing speed value and the rainfall daily increasing speed value in early 30 days which are selected from numerous temperature and rainfall indexes and the glacial lake burst danger is determined, and the burst early-warning curve is determined. The forecast is carried out according to a more comprehensive and reasonable climate index, so the early-warning effectiveness is increased.
Owner:INST OF MOUNTAIN HAZARDS & ENVIRONMENT CHINESE ACADEMY OF SCI
Method for determining regional atmospheric precipitation pattern index
The invention discloses a method for determining a regional atmospheric precipitation pattern index R, belongs to the technical field of atmospheric precipitation index analysis, and can solve the problem that the existing precipitation pattern index cannot reflect the change of spatial and temporal distribution of precipitation and cannot reflect the regional air water vapor resource quantity and supply condition. The determination method comprises the following steps: obtaining rainfall data of a to-be-measured time period of a research area, and obtaining an area rainfall index M according to the rainfall data; obtaining the total water vapor transport flux Q of the whole atmosphere of a unit air column of the research area, and obtaining an area water vapor transport index T according to the total water vapor transport flux Q; and according to the regional rainfall index M and the regional water vapor transport index T, calculating to obtain a regional atmospheric rainfall pattern index R.
Owner:XIAN UNIV OF TECH
Mountain torrent disaster zoning method based on machine learning
ActiveCN114186780ARealize the spatial division of mountain torrent disasterGood clustering resultClimate change adaptationCharacter and pattern recognitionAlgorithmNetwork model
The invention discloses a mountain torrent disaster zoning method based on machine learning. The mountain torrent disaster zoning method comprises the following steps: (1) extracting various short-time heavy rainfall indexes and underlying surface data indexes; (2) screening key factors of mountain torrent disasters from the short-time heavy rainfall index and the underlying surface data index; (3) constructing a self-organizing mapping neural network model (SOM) to perform primary spatial clustering on the mountain torrent disasters, and then performing secondary clustering; (4) comprehensively evaluating the secondary clustering result of the mountain torrent disasters by using the external indexes and the internal indexes, and determining an optimal clustering scheme of the mountain torrent disasters; and (5) calculating the standard deviation rate of the area of the zoning pattern spots, merging and processing the tiny patches, and obtaining a final mountain torrent disaster zoning result. According to the method, key factors related to mountain torrent disasters are selected through a random forest model, then two-stage hybrid clustering is carried out by utilizing SOM, and mountain torrent disaster space division is realized by combining various machine learning methods.
Owner:HOHAI UNIV
A Flash Flood Early Warning Method Considering the Spatial Heterogeneity of Rainfall
ActiveCN111462450BHigh precisionAccurately quantify the distributionHuman health protectionMachines/enginesHydrometrySoil science
The invention discloses a mountain torrent early warning method considering the spatial heterogeneity of rainfall, which belongs to the field of hydrological forecasting. The method includes: acquiring soil saturation and composite rainfall within a set time period before the occurrence of multiple historical flood peaks in the watershed to be early warning; wherein , the combined rainfall takes into account both the amount of rainfall and the spatial distribution of rainfall; construct a mountain torrent early warning model based on the above soil saturation and compound rainfall; collect the soil saturation of the watershed to be warned, and obtain the critical composite rainfall index corresponding to the current soil saturation according to the mountain torrent early warning model, By comparing the current composite rainfall and the critical composite rainfall index in the basin to be warned, it is judged whether the flood caused by rainfall is a super-warning flood. The method of the invention can specifically quantify the unevenness of the spatial distribution of rainfall and the distribution of the center of the rainstorm, and the calculated critical composite rainfall index not only considers the size of the rainfall, but also considers the spatial distribution of the rainfall, thereby improving the accuracy of mountain torrent warning.
Owner:HUAZHONG UNIV OF SCI & TECH +1
Real-time cumulative rainfall storm torrent early warning method based on rainfall runoff response
ActiveCN109902395BImprove accuracyScientific and Proven GuidanceHuman health protectionDesign optimisation/simulationRainfall runoffAtmospheric sciences
The invention provides a real-time accumulated rainfall rainstorm mountain torrent early warning method based on mountainous area small watershed rainfall runoff response. The method comprises the following steps: (1) selecting a small watershed river reach of a mountainous area needing rainstorm mountain torrent early warning as a target river reach, and searching flood characteristic data of n-stage rainstorm mountain torrent of the target river reach and rainfall characteristic data of stage rainstorm corresponding to the n-stage rainstorm mountain torrent; Determining a flood abrupt rise time point of each field rainstorm mountain flood according to the flood characteristic data; (2) analyzing the n times of rainstorm mountain torrent; (3) determining a critical cumulative rainfall index for sending out rainstorm mountain torrent early warning; (4) 1, when rainstorm occurs at the upstream of the target river reach, collecting time period rainfall data of field rainstorm, and calculating accumulated rainfall from the beginning of rainfall to different time period rainfall data collection time points in real time; And 2, when the accumulated rainfall capacity in the step (1) reaches a critical accumulated rainfall capacity index for giving out rainstorm mountain torrent early warning, immediately giving out the rainstorm mountain torrent early warning.
Owner:SICHUAN UNIV
Precipitation inversion method and system based on sunflower stationary satellite
PendingCN114492159AImprove accuracyReliableWeather condition predictionCharacter and pattern recognitionChannel dataResidual neural network
The invention discloses a rainfall inversion method and system based on a sunflower stationary satellite. The method comprises the following steps: pre-selecting a large amount of satellite channel data and elevation data as a first training sample set, and selecting a large amount of site live rainfall statistics as a second training sample set; inputting the first sample set and the second sample set into a convolutional neural network for training, and obtaining a weather model set and a rainfall intensity model set through a three-layer convolution classifier and a residual neural network regression device; and satellite channel data and elevation data of a current station are collected, the current satellite channel data and elevation data are input into the sun and rain model set, whether the current station is a rainfall area or a non-rainfall area is determined, and for the rainfall area, the rainfall statistic of the rainfall area is input into the rainfall intensity model, namely, a satellite inversion live rainfall index is output. According to the method of combining the rain and sun classification and the rainfall intensity model based on the neural network, the accuracy of rainfall inversion is improved.
Owner:北京玖天气象科技有限公司
Refinement prediction method and system for transmission line rainstorm disaster based on inversion algorithm
ActiveCN108960599BAchieving Risk Prediction of Rainstorm DisasterEasy to operateGeographical information databasesResourcesElectric power systemPower grid
Owner:STATE GRID HUNAN ELECTRIC POWER +2
Method and device for determining drought grade of grassland, electronic equipment and medium
The invention provides a method and device for determining the drought grade of a grassland, electronic equipment and a medium. The method comprises the following steps: acquiring meteorological state data, soil state data and vegetation state data of a region corresponding to each meteorological station in a plurality of meteorological stations in a target grassland; according to various state data, determining a relative water consumption index, a standardized rainfall index, a soil relative humidity index and a temperature vegetation drought index of a corresponding area of each meteorological station; according to each index, the seasonal adjustment coefficient and the weight corresponding to each index, determining a comprehensive drought index of the region corresponding to each weather station; determining a comprehensive drought index of other areas in the target grassland by using a spatial interpolation algorithm; and determining the drought level of each region in the target grassland based on the comprehensive drought index of each region and a preset corresponding relationship. The method can comprehensively consider meteorological, soil and vegetation factors to determine the drought grade of the grassland, can more accurately and comprehensively judge the drought condition, and is more suitable for the grassland environment.
Owner:INST OF WATER RESOURCES FOR PASTERAL AREA MINIST OF WATER RESOURCES P R C
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