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341 results about "Precipitationshed" patented technology
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A precipitationshed is the upwind ocean and land surface that contributes evaporation to a given, downwind location's precipitation. The concept has been described as an "atmospheric watershed". The concept itself rests on a broad foundation of scholarly work examining the evaporative sources of rainfall. Since its formal definition, the precipitationshed has become an element in water security studies, examinations of sustainability, and mentioned as a potentially useful tool for examining vulnerability of rainfall dependent ecosystems.
Method of predicting and accessing level of wildfire-caused trip risk in power transmission lines
ActiveCN104376510ARealize quantitative evaluationStrong guidanceData processing applicationsICT adaptationFire riskEngineering
The invention provides a method of predicting and accessing level of a wildfire-caused trip risk in power transmission lines. Based on the power transmission line corridor fire risk level as an indicator and factors such as daily precipitation, temperature, wind speed, relative humidity, slope, sloping direction, road network density, population density, conventional solar terms and vegetation water content, influence factors to the wildfire occurrence risk are quantitatively assessed so as to establish a wildfire risk assessment model. During occurrence of a wildfire, based on the line trip risk level as an indicator and flame height bridge ratio, vegetation variety and vegetation distribution, the influence factors to the power transmission line trip risk level is quantitatively assessed in the case of the wildfire so as to establish a line trip assessment model. The method is applied to predicting and accessing the level of the wildfire-caused trip risk in the power transmission lines by integrating the two models. The method according to the technical scheme has the advantages that the trip risk in the power transmission lines can be subjectively predicted and assessed on the basis of real-time data, targeted preventive measures are taken in advance, wildfire-caused trip accidents of the power transmission lines are maximally decreased, and the method is significant to the improvement of safety and running reliability of the power transmission lines.
Owner:STATE GRID CORP OF CHINA +2
Method and apparatus for generating a weather index
A tradable investment index and method for weather futures, comprised of weather data transformed using the steps of extracting historical weather data, including weather measures such as precipitation, wind speed, temperature and sunshine hours, providing the weather data to a computer database, operating on the values in the database using a computer and software program, and transforming the resulting set into an index, which is tradable in the financial, weather derivative or insurance markets.
Owner:WEATHERBID LLC
High resolution precipitation data processing method
InactiveCN101349767ARainfall/precipitation gaugesWeather condition predictionImage resolutionEvaluation data
The invention relates to a precipitation data processing method which uses temporal interpolation to treat detected accumulated precipitation, based on the could picture detected per hour by geostationary meteorological satellite and cloud classification information to attain high resolution. The method comprises the steps of: attaining accumulation precipitation spatial distribution data; classifying could pictures; finding the precipitation rate of each could type; determining the accumulation precipitation temporal interpolation weight factor of each could type; processing temporal weight interpolation of each hour for the accumulation precipitation evaluation data; and outputting the accumulated precipitation evaluation data of each hour. The invention can improve the time resolution of precipitation evaluation data treatment.
Owner:NAT SATELLITE METEOROLOGICAL CENT
Method and device for grading flood risk
InactiveCN103218522AIncrease the frequency of monitoringSpecial data processing applicationsRisk levelTerrain
The invention provides a method for grading flood risk according to a plurality of space scales. Under each space scale, the method comprises the following steps of: S1, calculating a flood risk index by taking a precipitation amount index, a river-lake index and a terrain index as risk evaluating factors of flood; S2, calculating a vulnerability index after calculating vulnerability evaluating factors of the flood by taking a population density index and an economic GDP (Gross Domestic Product) density index as evaluating factors; and S3, generating a flood risk index by synthesizing the risk index and the vulnerability index, and further grading the flood risk index to generate a flood risk level. The method is implemented in a sequence from larger space scales to smaller space scales. Due to the adoption of the method for grading the flood risk, areas with social and economic damages possibly caused by flood disaster phenomena and risk levels can be analyzed on different space scales, and the monitoring frequency of highly-risky areas is increased.
Owner:MIN OF CIVIL AFFAIRS NAT DISASTER REDUCTION CENT
Urban hydrological simulation system
ActiveCN109492259AFull Simulation CapabilitiesComprehensive data analysisClimate change adaptationDesign optimisation/simulationAnalysis dataEvaporation
The invention discloses an urban hydrological simulation system and a simulation method, which relate to the technical field of urban precipitation management. The invention includes a rainfall floodmanagement model, the simulation system includes a time-varying precipitation unit, a surface water evaporation unit, a snow cover and melt unit, a depression interception unit, a soil seepage unit, agroundwater recharge unit, a groundwater and drainage pipe exchange unit, a slope catchment unit, a LID control unit, a region editing unit that are associated with the rainfall flood management model, and the simulation system further comprise a storage module, an aquifer editing module and a groundwater flow editing module. The invention has comprehensive simulation function and can provide comprehensive and representative analysis data through a complete functional system unit structure. The influence of DCIA and TIA setting on runoff generation in urbanization region is analyzed under thepremise of comprehensive consideration of parameters. More objective and accurate reference and opinions are provided for urban planning.
Owner:NORTH CHINA UNIV OF WATER RESOURCES & ELECTRIC POWER
Dynamic-modification-combined storm rainfall fine alarming method for power grid zone
InactiveCN104851051AImprove the effect of early warningAccurately reflect the situationData processing applicationsPower gridPower equipment
The invention discloses a dynamic-modification-combined storm rainfall fine alarming method for a power grid zone. The method includes an S1 step of forecasting local precipitation amount, generating forecasting information and extracting forecast values of precipitation at tower positions of a power grid; an S2 step of extracting position information of towers of the power grid meeting condition for rainstorms and storm rainfall information; an S3 step of determining correcting indexes by utilizing history observational data of a meteorological station and corresponding forecast information, correcting the forecast values of precipitation at the tower positions of the power grid of the current date according to the correcting indexes and acquiring the final forecast result; and an S4 step of making priory forecast of power equipment according to the final forecast result and publishing rainstorm disaster early warning information for the towers of the power grid. By adopting the method provided by the invention, accuracy of the storm rainfall forecast value of the current date is improved effectively, so that an effective information guarantee is made for rainstorm disaster early warning.
Owner:STATE GRID CORP OF CHINA +3
High-resolution satellite data-based TRMM rainfall data downscaling method
The invention relates to a high-resolution satellite data-based TRMM rainfall data downscaling method. The method comprises the following steps of: firstly obtaining multiple pieces of satellite meteorological data through an official way, and correcting TRMM remote sensing rainfall data through a Leave-one-out cross validation method; and selecting a variable through step regression according tofactors influencing the rainfall data, considering hysteresis quality, for vegetation, of rainfall and spatial correlation of the vegetation, establishing a multi-spatial scale model, and selecting anoptimum model to downscale the rainfall data. The method is simple in process and correct in rainfall prediction.
Owner:BEIJING NORMAL UNIVERSITY
Method and system for quantitatively forecasting extreme rainfall
InactiveCN102880755AImprove forecast accuracyImprove good performanceBiological neural network modelsSpecial data processing applicationsHydrometryNerve network
The invention discloses a method for quantitatively forecasting extreme rainfall. The method comprises the following steps that: I, an input module (100) reads raw data of a hydrometric station from a database or an Excel file, performing abnormal detection and washing on the read data, and preprocessing the data to obtain standardized hydrometric time sequence data; II, a modeling module (200) constructs a model consisting of a first forecasting model (210), a second forecasting model (220) and a combined BP neural network (230) according to the hydrometric time sequence data in the input module (100); III, a correction module (300) performs parameter adjustment on the forecasting models constructed in the modeling module (200) according to the quality of the forecast data in the step II; and IV, an output module (400) stores an extreme rainfall forecast value in the next year into the database or the file, so that a user can check and analyze the data. By the method, a yearly average extreme rainfall amount can be modeled and forecast from a data excavation angle; and the method is high in applicability and relatively high in accuracy.
Owner:HOHAI UNIV +1
Urban waterlogging monitoring and pre-warning system and pre-warning method
PendingCN110533885AImprove operational efficiencyImprove management efficiencyHuman health protectionMeasurement devicesSubsurface drainageSurface runoff
The invention relates to an urban waterlogging monitoring and pre-warning system and pre-warning method. The urban waterlogging monitoring and pre-warning system comprises a processing unit, a surfacerunoff water depth monitoring unit, an underground drainage network monitoring unit, a meteorological information monitoring unit, a rainfall monitoring unit, a communication unit and a drainage unit, wherein the surface runoff water depth monitoring unit is electrically connected with the processing unit; and the processing unit is suitable for judging the urban waterlogging condition accordingto the actual surface runoff flow of various monitoring points, an excess surface water depth, an underground drainage network drainage state, weather information and rainfall, and uploading the urbanwaterlogging condition to a server through the communication unit in real time, and controlling the drainage unit to drain water when the processing unit judges urban waterlogging. According to the urban waterlogging monitoring and pre-warning system and the pre-warning method, analysis and statistics are carried out by comprehensively transmitting and processing monitoring data and combining bigdata with deep learning artificial intelligence, early prewarning information is issued, processing planning measures are generated in advance and intelligent control is implemented on electrical equipment at various sites.
Owner:江苏省气象服务中心 +1
Multi-region precipitation prediction model construction method based on multi-graph convolution and memory network
ActiveCN111126704AHigh precisionCompatible with noisy big data scenariosForecastingNeural architecturesData setAlgorithm
The invention discloses a multi-region precipitation prediction model construction method based on multi-graph convolution and a memory network. The method comprises the following steps: establishingat least two adjacent matrixes; constructing a plurality of regional precipitation input data sets and calculating dependence attention scores; inputting the dependence attention score into a pre-constructed LSTM memory network to obtain an output value, and respectively inputting the output value into a pre-constructed graph convolutional neural network; summing the outputs of all the graph convolutional neural networks, inputting the summed outputs to a full connection layer for feature regression prediction to obtain precipitation prediction output of the whole network, training the whole model according to the error until the error meets a preset value, and obtaining a final multi-region precipitation prediction model. According to the method, the time sequence characteristics existingin the precipitation process are fully utilized, the situation that in the prior art, only various variable values at a single moment are considered to predict the precipitation, and the change trendinformation of the variable values along with time is lost is avoided, and the precipitation prediction accuracy is effectively improved.
Owner:HOHAI UNIV CHANGZHOU
Regional carbon reserve space pattern monitoring system and method based on remote sensing data
ActiveCN110750904ASave manpower, material and financial resourcesAvoid the disadvantage of low data availabilityDesign optimisation/simulationEngineeringPrecipitation
The invention discloses a regional carbon reserve space pattern monitoring system and method based on remote sensing data. The system comprises a remote sensing data processing module, an actual measurement data processing module and a data analysis and output module. The output ends of the remote sensing data processing module and the actual measurement data processing module are connected with the input end of the data analysis and output module; satellite remote sensing data, precipitation, vegetation coverage rate, surface temperature, land utilization data, light data, DEM data and meteorological data are used to establish a model to monitor the spatial-temporal change of regional carbon reserves, and the defect of long research period of large-scale regional carbon reserves is overcome. The monitoring system also has the advantages of easily available source data, high computer operation efficiency, low cost, strong timeliness and the like.
Owner:南京信大气象科学技术研究院有限公司
Probability distribution based short-time rainfall forecast method and system
ActiveCN109946762AHigh precisionReducing Regional Rainfall Estimation UncertaintyWeather condition predictionData displayCloud atlas
The invention discloses a probability distribution based short-time rainfall forecast method and system, and belongs to the technical field of rainfall forecast. The system comprises a cloud atlas collection module, a meteorology data acquisition module, a data transmission module, a master control module, a rainfall probability generation module, a precipitation estimation module, a rainfall characteristic determination module and a data display module. The precipitation estimation module can obtain rainfall data of higher precision and confidence by using advantages of multi-source data; therainfall characteristic determination module uses a rainfall rain type characteristic matrix and time characteristic matrix of a rainfall station to describe the rainfall and movement condition of the rainstorm center in the aspects of time and space; and a mathematic matrix is used to describe the time-space distribution characteristic of rainfall, the rainfall characteristic is researched lateron the basis of the mathematic matrix, and the accuracy and comprehensiveness of rainfall characteristic research are improved.
Owner:COLLEGE OF MOBILE TELECOMM CHONGQING UNIV OF POSTS & TELECOMM
Water consumption prediction method and device, electronic equipment and computer readable medium
ActiveCN112036668AImprove accuracyEasy to understandEnsemble learningForecastingData setMoisture capacity
The invention discloses a water consumption prediction method and device, and relates to the technical field of artificial intelligence such as deep learning. One specific embodiment of the method comprises the steps of acquiring a historical data set in a preset historical time period, wherein the historical data set comprises holiday data, workday data, temperature, humidity, wind direction, wind power, precipitation and historical water consumption in the preset time period; performing feature construction on the historical data set to extract a time feature sequence, a weather feature sequence and a historical water consumption feature sequence; obtaining a training data set and a test data set based on the constructed historical data set; based on the training data set, training the constructed water consumption prediction model to obtain a trained water consumption prediction model; and predicting the trained water consumption prediction model by adopting the test data set to obtain the water consumption in the future time period output by the trained water consumption prediction model. According to the embodiment, the accuracy of water consumption prediction is improved.
Owner:BEIJING BAIDU NETCOM SCI & TECH CO LTD
System for real-time monitoring and prediction of soil moisture content, and detection method for soil moisture content
ActiveCN104848901ATimely guidanceArrange in timeMeasurement devicesSpecial data processing applicationsGround temperatureData acquisition
The invention discloses a system for the real-time monitoring and prediction of soil moisture content, and a detection method for the soil moisture content. The system comprises a monitoring module and a prediction module. The monitoring module comprises a detection system, a data collector, a wireless transmitter, and a data receiver. The detection system comprises at least two detectors, and the detectors comprise a soil moisture content detector disposed at a to-be-detected point, a precipitation detector, a ground surface wind speed detector, a ground surface temperature detector, a ground temperature detector, and a ground surface air moisture detector. The data collector is connected with the detection system, and the detection system enables the detected data to be transmitted to the data collector and to be transmitted to the data receiver through the wireless transmitter. The prediction module comprises a comprehensive cloud computing platform and an information publishing and self-determining inquiry platform. The comprehensive cloud computing platform is connected with the data receiver, and receives the detection data transmitted by the data receiver. After processing, the detection data is transmitted to the information publishing and self-determining inquiry platform. The system is simple in operation, is stable in performance, is safe in data, is diversified in function, and is high in adaptability.
Owner:GUIZHOU EDUCATION UNIV
Near-surface air temperature estimation method under cloud conditions
ActiveCN109871637AThe method is simpleImprove spatial resolutionSpecial data processing applicationsICT adaptationTemporal informationData set
The invention provides a satellite remote sensing data-based near-surface air temperature estimation method under cloud conditions. The method comprises the following steps: (1) acquiring historical data of a meteorological station in a research area; (2) preprocessing the historical data of the atmospheric precipitation, the relative humidity near the ground, the cloud top temperature, the cloudtop height and the cloud optical thickness to obtain a spatio-temporal matching data set; (3) taking the temperature of the instrument shelter as the output of a neural network, taking the data set asthe input of the neural network, and constructing the neural network; (4) obtaining a data set of an area to be subjected to air temperature estimation; (5) carrying out time and space interpolationby utilizing a cubic spline interpolation method according to the latitude, longitude and time information of the meteorological satellite to obtain a data set matched with the space-time of the meteorological satellite; And (6) inputting the data set matched with the space-time space of the meteorological satellite into the constructed neural network to estimate the near-surface air temperature under the cloud day condition. The method is simple and easy to implement and high in precision.
Owner:CHENGDU UNIV OF INFORMATION TECH
Urban inland inundation prediction method and device
ActiveCN110837925ARealize monitoringEffective predictionForecastingComplex mathematical operationsHydrometryAtmospheric sciences
The invention provides an urban inland inundation prediction method and device. The method comprises the steps of performing hydrological analysis on a to-be-predicted city to determine a first mapping relationship between the ponding amount of each low-lying point in the to-be-predicted city and the corresponding ponding depth, and the percentage of the area of each low-lying point in the sum ofthe areas of all the low-lying points; performing big data analysis on the historical water circulation monitoring data of the to-be-predicted city to determine a second mapping relationship between the regional waterlogging water accumulation amount of the to-be-predicted city and the corresponding regional precipitation amount; predicting the regional waterlogging water accumulation amount of the rainfall according to the second mapping relationship; and according to the respective corresponding percentage of each low-lying point, distributing the waterlogging water accumulation amount in the rainfall area to each low-lying point, and according to the respective corresponding first mapping relationship of each low-lying point, determining the respective water accumulation depth of each low-lying point in the rainfall area. The rainfall is monitored to a certain extent, and the possibility of causing urban inland inundation is predicted according to the rainfall.
Owner:浙江贵仁信息科技股份有限公司
Medium-and-long-term rainfall forecasting method based on weather science method and mathematical statistics method
ActiveCN112884209ASolve the lack of precisionRealization of medium and long-term precipitation forecastWeather condition predictionForecastingCorrelation coefficientQuantitative model
The invention provides a medium-and-long-term rainfall forecasting method based on a weather learning method and a mathematical statistics method. The method comprises the steps: carrying out the annual classification according to the existing rainfall data; screening influence factors by adopting a grade correlation coefficient method, performing qualitative analysis on the factors passing the significance test, and establishing a rolling model; checking each rolling forecasting model, calculating absolute error distribution of the rolling forecasting models after the rolling forecasting models are qualified, and performing interval forecasting; evaluating a model forecasting effect, selecting a forecasting model with a better effect, and comprehensively forecasting and judging a precipitation level by taking an interval forecasting result and a qualitative analysis conclusion of factors of the forecasting model as a criterion; and selecting similar years from the historical rainfall data according to the predicted precipitation level, and representing monthly and annual precipitation of the watershed by the monthly and annual cumulative precipitation of the year respectively. The method has the advantages that the qualitative model and the quantitative model are combined, and the prediction result precision is high.
Owner:HOHAI UNIV
Irrigation method and device based on Internet of Things
ActiveCN111492959AGuaranteed utilizationAvoid wastingClimate change adaptationWatering devicesWater useAgricultural engineering
The invention provides an irrigation method and device based on the Internet of Things, and is used for solving the technical problems that an existing irrigation method is high in labor input, and water resources are wasted. The method comprises the steps that a server receiving current soil water content uploaded by a soil moisture sensor and meteorological information uploaded by a meteorological sensor, and determines precipitation amount in a preset time period based on the meteorological information; receiving the image data of the crop area uploaded by the image acquisition device, andinputting the image data into the crop type identification model to obtain a crop type corresponding to the crop area; based on the crop variety and the current soil water content, determining the actual water demand of the crop variety within a preset time period; calculating a first difference value between the precipitation and the actual water demand, and then determining the water drainage states of the multiple irrigation devices in the crop area. According to the irrigation method provided by the invention, a targeted irrigation scheme can be automatically provided, and irrigation wateris effectively saved.
Owner:山东深蓝智谱数字科技有限公司
Regional atmospheric and hydrological coupling early warning decision-making system and method
ActiveCN112782788AAccurateEffective simulationWeather condition predictionICT adaptationHydrometryInformation processing
The invention relates to the technical field of meteorological and hydrological forecasting and meteorological information processing, in particular to a regional atmospheric and hydrological coupling early warning decision-making system. The system comprises a regional data acquisition module for acquiring the regional data in real time; an artificial intelligence module which is used for obtaining a rainfall analysis model in the region; a rainfall forecast analysis module which is used for obtaining the rainfall amount and the rainfall path forecast in the region; a correction module which is used for obtaining the corrected precipitation amount and precipitation path forecast and storing the corrected precipitation amount and precipitation path forecast in a database; a hydrological data acquisition module which is used for acquiring the surface runoff data; a hydrological forecasting module which is used for providing water level forecasting, early warning and pre-discharging decisions in the region; a response demonstration module which is used for simulating the rainfall runoff trend in the region in several hours in the future and the convergence of rainfall to a low position on the ground so as to realize the runoff early warning and prediction; and an early-warning decision-making module which is used for determining an early-warning decision-making scheme according to a preset runoff monitoring point threshold value.
Owner:NAT SPACE SCI CENT CAS
Severe convection weather early warning method, computer equipment and storage medium
InactiveCN111458768AReal-time detectionHigh precisionWeather condition predictionIndication of weather conditions using multiple variablesTroposphereSatellite observation
The invention belongs to the technical field of severe convection weather monitoring and provides a severe convection weather early warning method. The method comprises the following steps that: a GNSS receiver acquires CORS observation data and precise orbit / clock error correction information SSR, and processes the obtained data to obtain real-time troposphere total delay; and real-time troposphere dry delay is obtained according to real-time meteorological parameters. According to the severe convection weather early warning method of the invention, the satellite observation data and real-time meteorological parameters such as air pressure and temperature are received in real time through the GNSS receiver; dry and wet delay components of a troposphere are calculated in real time, and thechange of atmospheric water vapor content is obtained by means of inverse computation; a determined early warning threshold value is obtained according to the empirical model of the atmospheric watervapor content and actually measured precipitation in historical data; the purpose of monitoring severe convection weather in real time can be achieved according to the change of the atmospheric watervapor content and the real-time meteorological parameters. The method has the advantages of real-time detection and high precision.
Owner:SHANDONG UNIV
Dual-polarization radar precipitation optimization inversion method
ActiveCN113420489ARealization of Precipitation Optimization InversionImprove adaptabilityRainfall/precipitation gaugesDesign optimisation/simulationRadar observationsRainfall estimation
Based on dual-polarization radar data, raindrop spectrum data and rain gauge data, a neural network and a Logistic multiple regression method are utilized to realize the adaptive optimization inversion of the dual-polarization radar precipitation, and the precipitation inversion formula can be optimally selected to obtain high-precision radar precipitation data, so that the method can be well applied to disastrous weather monitoring and early warning forecasting. Besides, the method is good in adaptability, parameter setting does not need to be changed according to the weather process, and dual-polarization radar precipitation optimization inversion can be achieved through raindrop spectrum data, dual-polarization radar observation data and rain gauge data in the radar coverage range. Moreover, the method is less affected by rainfall system examples and data measurement precision, can be applied to any detection position of the ground-based radar, and has high rainfall estimation precision and good universality and robustness.
Owner:NANJING UNIV OF INFORMATION SCI & TECH
Strong convection weather short-term approaching forecasting method and system, storage medium and terminal
ActiveCN111352113AImprove accuracyImprove TS scoreWeather condition predictionRadio wave reradiation/reflectionRadarAtmospheric sciences
The invention discloses a severe convection weather short-term approaching forecasting method and system, a storage medium and a terminal. The method comprises the steps of obtaining radar data in a preset time period; constructing a radar extrapolation model according to the radar data, and obtaining short-time approaching radar extrapolation data Z; determining a conversion relationship betweenthe short-time approaching radar extrapolation data Z and rainfall intensity R; and according to the conversion relationship between the short-time approaching radar extrapolation data Z and the rainfall intensity R, obtaining short-time approaching precipitation. The method can effectively improve the accuracy of short-term approaching forecasting of severe convection weather, reduces the false alarm rate, and improves the TS score.
Owner:易天气(北京)科技有限公司
Precipitation monitoring system and method, storage medium and processor
InactiveCN111123410AAccurate monitoring of planar precipitationWeather condition predictionRadio wave reradiation/reflectionRadar observationsWeather radar
The invention discloses a precipitation monitoring system and method, a storage medium and a processor. The system comprises precipitation monitoring equipment which is arranged in a transformer substation and used for collecting precipitation of the transformer substation in a first preset time period and sending first precipitation data corresponding to the precipitation to meteorological data center equipment; a meteorological station equipment which is used for sending second precipitation data corresponding to precipitation, observed by the meteorological station equipment, of the transformer substation in a first preset time period to the meteorological data center equipment; a Doppler weather radar which is used for sending third precipitation data corresponding to precipitation, observed by the Doppler weather radar, of the transformer substation in a first preset time period to meteorological data center equipment; and the meteorological data center equipment which is used fordetermining the actual precipitation of the transformer substation according to the first precipitation data, the second precipitation data and the third precipitation data. The technical problem that an existing meteorological observation network cannot give specific precipitation according to the position of the transformer substation is solved.
Owner:STATE GRID BEIJING ELECTRIC POWER +1
Device, method and program for environmental factor estimation, learned model and recording medium
PendingUS20220198303A1Improve accuracyIndication of weather conditions using multiple variablesHydraulic engineering apparatusWater qualityAtmospheric temperature
Provided is an environmental factor prediction device that includes a predictor and predicting means. The predictor uses, as explanatory variables: water quality data in a plurality of layers in water, the data including a value corresponding to a biochrome level or a bioluminescence level (e.g. chlorophyll concentration), water temperature, salt concentration, dissolved oxygen, turbidity and flow rate; and meteorological data including atmospheric temperature, precipitation and sunshine duration, and outputs an estimated value of each item of the explanatory variables at a unit time later, based on time series data of the explanatory variables. The predicting means predicts the water quality data up to an N unit time later by repeating prediction using the estimated value acquired by the predictor as input of the predictor again. According to the present invention, the environmental factors that cause generation of red tide, blue tide or water bloom, diseases of fish, and the like, can be predicted, on a long term basis and at high accuracy.
Owner:RIKEN
Method and device for predicting river water flow generated by rainfall runoff in region
The invention relates to a device and method for predicting river water flow generated by rainfall runoff in a region. The method comprises the following steps: segmenting the region into a plurality of grids; obtaining rainfall data, a vegetation interception water amount and a soil infiltration water amount in the grids; determining the rainfall allowance of each grid according to the rainfall data, the vegetation interception water amount and the soil infiltration water amount; determining surface runoff in the region according to the rainfall allowance of the plurality of grids in the region; and determining the river water flow according to the surface runoff and the river characteristics in the region. According to the method disclosed by the invention, the absorption of vegetation and soil in the region on precipitation and the surface runoff from each grid to the adjacent grid are accurately considered, and finally, the water flow of the river channel is calculated. According to the method disclosed by the invention, each geographical factor influencing the river water flow in the to-be-predicted region is comprehensively considered, so that the calculated river water flow is more accurate.
Owner:CHINESE RES ACAD OF ENVIRONMENTAL SCI
Reservoir scheduling early warning method based on meteorological numerical forecasting
ActiveCN110991688AImprove dispatching risk early warning capabilitiesReduce flood riskClimate change adaptationForecastingHydrometryDrainage basin
Owner:STATE GRID ZHEJIANG ELECTRIC POWER
Quantitative rainfall prediction method based on radar reflectivity extrapolation
PendingCN110824481AAvoid low accuracyImprove forecast accuracyRadio wave reradiation/reflectionICT adaptationMotion fieldPrecipitationshed
The invention discloses a quantitative rainfall prediction method based on radar reflectivity extrapolation and relates to the technical field of atmospheric science. The method comprises the steps: S1, collecting radar base data for prediction and generating a radar echo reflectivity image through a reflectivity factor in the radar base data; S2, solving a pre-constructed optical flow equation based on the radar echo reflectivity image to obtain a motion field of radar echo; S3, identifying a strong convection region in the motion field of the radar echo by using a pre-constructed identification model and tracking and positioning a strong convection region; S4, constructing a radar echo extrapolation model, training the radar echo extrapolation model by using the strong convection region,and predicting radar echo data; and S5, converting the radar echo data by using a trained quantitative precipitation neural network prediction model to obtain predicted precipitation. The method hasthe advantages of simplicity and high prediction accuracy.
Owner:兰州大方电子有限责任公司
Forest fire early warning model and system based on deep learning technology
PendingCN111625999AImprove accuracyHigh forward-lookingForecastingDesign optimisation/simulationAlgorithmNetwork structure
The invention provides a forest fire early warning model. The architecture comprises an adjacent component, a periodic component and an external component, the construction process comprises the steps: S1, converting the air temperature, humidity, wind speed and precipitation of preprocessed meteorological data in each time intervalinto a four-channel approximate image matrix, and then dividing atime axis into two segments which represent the relation of proximity and period similarity of all positions in a time flow; s2, respectively inputting the image matrix in each time slice into an adjacent component and a periodic component for modeling; s3, endowing results of different components with different weights through the parameter matrix, and fusing output results of the adjacent component and the periodic component into a residual component XRes; and S4, mapping an XRes and XExt integration result to [-1, 1] through a Tanh function. According to the invention, a neural network structure with a deep residual network as a core is used to construct a forest fire early warning model.
Owner:CENTRAL SOUTH UNIVERSITY OF FORESTRY AND TECHNOLOGY
Day time scale-based rainfall generator
ActiveCN108595814ADesign optimisation/simulationSpecial data processing applicationsHydrometryAtmospheric sciences
Aiming at the problems that terrestrial ecosystems are relatively short in historical period rainfall record data of partial regions and large in data loss of a plurality of years, the invention discloses a rainfall generator taking days as time scales. The generator inputs rainfall data, measured on the basis of a target region, of each year, each month and each day in a long term. At first, a frequency distribution of a rainfall precipitation of each month, average rainfall precipitations of each month and each day, maximum rainfall precipitations of each month and each day and an annual number of rainfall days is determined; feature parameters of distribution curves are extracted; an index equation is constructed to simulate and generate daily rainfall precipitations; and the daily rainfall precipitations are accumulated to obtain monthly rainfall precipitations and annual rainfall precipitations. Simulated time sequence data is compared and verified with measured data on the time scales of year and month. After the verification, the rainfall generator considers the distribution of extreme rainfall events, so that the rainfall generator can better reflect the laws of rainfall distributions under natural conditions. The rainfall generator is beneficial for assessing the influences, on hydrologic cycle of the terrestrial ecosystems, of rainfalls and predicting the ecological effects of climate changes.
Owner:PEKING UNIV
Precipitation meteorological message data error correction method and glaze landscape prediction method
ActiveCN107765348AReduce forecast errorImprove practicalityRainfall/precipitation gaugesComplex mathematical operationsPredictive methodsData error
Aiming at a defect that the insufficient consideration to the particularity of a local environment causes a problem that predicted data is liable to have an error in a conventional precipitation prediction method, the invention provides a precipitation meteorological message data error correction method, and the method is used for correcting the precipitation message data Ym, issued by a meteorological station to the public, of a prediction day on a prediction start day, and obtaining a precipitation correction value Yj of the prediction data. The invention also provides a glaze landscape prediction method which is implemented through the above method, and the glaze landscape prediction method is used for predicting on the prediction start day the probability that glaze happens on the prediction day, and correcting a temperature value in the prediction method. The glaze landscape prediction method provided by the invention can be used in a tourism attraction of the Mount Emei. The methods provided by the invention take the meteorological prediction products issued by the meteorological station as the data basis, achieve the prediction of the probability of a meteorological landscape in a given region through the meteorological prediction products issued by the meteorological station, can achieve the effective use of the public service data, and are higher in practicality.
Owner:CHENGDU UNIV OF INFORMATION TECH +1
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