26 results about "Effective precipitation" patented technology

The invention discloses an irrigation index prediction method based on meteorological data and field moisture capacity, and relates to the technical field of intelligent agriculture, and the method comprises the steps: collecting real-time meteorological data, real-time soil volumetric water content data, soil matrix potential data and future precipitation forecast data, and carrying out quality control and time alignment processing to obtain a multi-source data set; the method comprises the following steps: calculating evapotranspiration of a reference crop according to real-time meteorological data, obtaining actual water demand of the crop in combination with a crop coefficient, calculating a moisture stress coefficient according to real-time soil volumetric water content data and a field moisture capacity static parameter value, and obtaining a basic irrigation demand index in combination with future precipitation forecast data. According to the method, the evapotranspiration amount is separated by adopting the Shuttleworth-Wallace model, the irrigation index integrating the crop evapotranspiration amount, the water deficit amount and the effective precipitation amount is generated on the basis of multi-period rolling water balance calculation and risk decision rules, and online calibration of soil parameters and optimization of irrigation decision are achieved.

The utility model discloses a gluing device of a hot melting compound machine, which comprises the hot melting compound machine, a coating transmission roller arranged on the inner side of the hot melting compound machine and a glue storage box arranged on the right side of the hot melting compound machine, and a gluing pump is arranged on the front side of the glue storage box. According to the device, the composite material can be conveniently glued, the glue precipitation prevention effect can be better through simultaneous cooperation of rotary stirring and lifting and vibrating movement of the stirring paddle in the gluing use process, and the problem that in the prior art, due to the fact that effective precipitation prevention measures are lacked in the gluing process, the glue precipitation prevention effect is poor is solved. According to the gluing device, the situation that effective components of glue are easy to precipitate at the bottom is avoided, and the uniformity of the glue components in the gluing process is ensured, so that the bonding effect of the glue on a material is ensured, the situations of layering, degumming and the like of the compounded material in use due to the precipitation of the glue can be prevented, and the quality of a glued product is ensured; and the use requirements of people are greatly met.

The invention provides a surface water-underground water integrated simulation method and system coupled with a glacier module, the method is based on an extended SWAT-GL model, rainfall, accumulated snow melt water and glacier melt water are jointly used as daily effective rainfall input, infiltration supply and river water level are transmitted to MODFLOW through a daily interface, and the water level of the MODFLOW is effectively simulated. And simulating underground water head change and surface water-underground water exchange capacity by utilizing a three-dimensional underground water flow equation, and feeding back a result to SWAT-GL river water balance, thereby realizing bidirectional dynamic coupling of the glacier-accumulated snow-surface-underground water whole process. The system breaks through the limitation that glacier mass balance and groundwater dynamics are difficult to depict synchronously in cold region simulation, can reveal a supply and regulation mechanism of glacier melt water to a groundwater system under the driving of climate change under a fine time scale, and remarkably improves the simulation capability of a cold region water circulation key process.

The invention relates to the technical field of rainfall analysis, and discloses a rainfall data high-precision downscaling method based on terrain fusion and residual optimization, which comprises the following steps: firstly obtaining original rainfall data of a target area and aggregating the original rainfall data into downscaling reference data, and marking an effective rainfall area of a digital elevation model; extracting terrain factors of the region, dynamically normalizing the terrain factors, constructing a random forest regression model by taking the reference data as response variables and standard terrain factors as explanatory variables, and predicting to obtain a preliminary rainfall result; and then calculating a residual error correction preliminary result to obtain an intermediate result, and comparing the reference data with the local mean value of the intermediate result to zoom the intermediate result to obtain a final rainfall prediction result. According to the method, the refinement degree of downscaling prediction of rainfall data is improved in combination with terrain factors, errors are controlled through residual correction and mean scaling, dynamic normalization adapts to different terrains, and the efficiency is improved through block processing.

The invention discloses a mountain fire risk assessment method and system based on meteorological drought, terminal equipment and a storage medium, and belongs to the field of mountain fire risk assessment. Obtaining a weather drought index of the day in combination with the effective precipitation of the day; calculating a drought factor according to the index and historical rainfall data; finally, the drought factor, the ground temperature, the relative humidity and the wind speed of the day are integrated, the mountain fire risk level is determined, multi-dimensional meteorological elements are integrated, data of the day and historical data are combined, the drought change process is accurately tracked, the accuracy of mountain fire risk assessment is effectively improved, and the problem that in the prior art, only a rainfall factor serves as a single factor of drought assessment, and the accuracy of mountain fire risk assessment is poor is solved. Key meteorological factors such as temperature, relative humidity and wind speed are neglected, so that the drought assessment index is inaccurate, and the forest fire risk assessment is inaccurate.

The utility model discloses an electric pole maintenance waste water recovery equipment with precipitation function, including storage box, pump, first electric ball valve, sediment purification subassembly and air booster pump, the storage box is communicated with the bottom of pump through second flow guide pipe, the first electric ball valve is communicated with the top of pump, and the sediment purification subassembly is communicated with the air booster pump. The precipitation purification assembly is arranged on the right side of the first electric ball valve, and the air booster pump is arranged on the top of the precipitation purification assembly. The electric pole maintenance wastewater recovery equipment with the precipitation function has the advantages of being good in precipitation effect and convenient to discharge, and solves the problems that silt, impurities and the like in wastewater are difficult to separate out due to the fact that an effective precipitation system is not specially designed in a conventional partial simple wastewater recovery treatment mode, and the wastewater cannot be discharged even if precipitation measures are taken. The problems of unreasonable design, long precipitation time, low efficiency and easiness in blockage during impurity discharge in the prior art are solved.

The utility model discloses an unequal depth deep scarification shallow harrow heavy press, which relates to the technical field of soil cultivation machinery and comprises a support, deep scarification plough supports are fixedly mounted at the front end of the support at equal intervals, a gearbox and a transmission component are fixedly mounted at the center of the top of the support, and a rotary tillage component is rotatably mounted on the inner side of the support. A fixing assembly is installed on the subsoiling plough support, and a subsoiling plough is installed on the fixing assembly. The deep scarification machine has the advantages that the deep scarification plough, the gearbox, the rotary blade shaft, the rotary blade, the chain box, the vibration compression roller through shaft, the supporting arm and the vibration compression roller are used in cooperation, layered deep scarification can be achieved, crop root systems can be stabbed downwards, soil can be crushed in a shallow layer, seed germination and rooting are facilitated, a large amount of effective rainfall is stored during rainfall, meanwhile, the number of times of a locomotive entering the ground is reduced, and the working efficiency is improved. The three operation procedures of deep scarification, shallow harrowing and vibration pressing are completed through one-time operation, and the problems that a plough layer is shallow, lodging is prone to occurring, and seedling emergence is uneven are fundamentally solved.

The application provides a kind of coupling ice module surface water-groundwater integrated simulation method and system, which is based on the extended SWAT-GL model, and inputs rainfall, snowmelt and glacial melt water as daily effective rainfall, transfers the infiltration recharge and river level to MODFLOW through daily interface, simulates the change of groundwater head and the exchange amount of surface water-groundwater by using three-dimensional groundwater flow equation, and feeds back the results to SWAT-GL river water balance, realizes the two-way dynamic coupling of the whole process of glacier-snow-surface-groundwater. The system breaks through the limitation that it is difficult to simultaneously depict the glacier mass balance and groundwater dynamics in cold region simulation, and can reveal the recharge and regulation mechanism of glacial melt water to groundwater system under the driving of climate change at a fine time scale, significantly improving the simulation capability of key processes of water cycle in cold regions.

This invention discloses a method for calculating the effective utilization coefficient of irrigation water based on remote sensing ET (Emergency Thresholding). The method includes: acquiring the evapotranspiration of each pixel in the study area at high spatiotemporal resolution; extracting multi-source remote sensing features of Sentinel-2 multi-temporal spectral features during the study period, and combining them with a trained ensemble learning classification model to obtain a crop planting structure map for each ten-day period; using the evapotranspiration of the pixel as the crop water requirement for the ten-day period, selecting an effective precipitation model based on the cultivated land type of the crop in the pixel, and calculating the effective precipitation for the pixel based on the crop water requirement and precipitation for each ten-day period; using Sentinel-1 imagery of the study period combined with OTSU classification, marking pixels with increased moisture as moisture increase events in each ten-day period, and correcting the moisture increase events using a scatter plot to obtain a ten-day irrigation distribution map; and calculating the effective utilization coefficient of irrigation water in the study area based on the evapotranspiration, crop planting structure map, effective precipitation, irrigation distribution map, and gross irrigation diversion.

The present disclosure relates to the technical field of meteorological detection, and particularly relates to a method and device for monitoring deviation of scanning beam of phased array weather radar. The method comprises: receiving radar scanning data and identifying whether it is valid precipitation echo; if yes, adjusting the azimuth angle of the radar to a first position according to the radar scanning data; at the first position, adjusting the elevation angle of the antenna to at least two preset angles, and adjusting the deflection angle of the antenna at each preset angle, so that the area scanned by the deflection angle of the antenna at one preset angle and the area scanned by the normal direction of the antenna at another preset angle overlap; receiving observation data after adjusting the elevation angle of the antenna and the deflection angle of the antenna; and determining whether to calibrate the radar according to the observation data and a preset threshold. The above technical solution solves the problem that there is no effective method to determine when to calibrate the phased array weather radar in the prior art.

This invention relates to the field of water demand prediction technology, specifically to an intelligent water demand prediction system and method for rural areas. By quantifying the crop growth process into continuous growth state parameters and constructing a dynamic crop coefficient model based on a sine function, it solves the problems of discontinuous water demand calculation and physiological distortion caused by traditional step-type models during growth stage transitions. It corrects root depth and combines measured soil moisture content with preset field capacity to dynamically constrain effective precipitation, overcoming the shortcomings of existing technologies that ignore basic soil moisture conditions and overestimate the contribution of natural precipitation. By constructing a priority score based on water depletion time and growth sensitivity, it achieves rational scheduling in scenarios with limited water resources across multiple plots, ensuring the continuity of crop physiological water demand and improving the precision of irrigation decisions and water resource utilization efficiency.

This invention discloses an irrigation index prediction method based on meteorological data and field capacity, belonging to the field of smart agriculture technology. The method includes collecting real-time meteorological data, real-time soil volumetric water content data, soil matrix potential data, and future precipitation forecast data, and performing quality control and time alignment processing to obtain a multi-source dataset. Based on the real-time meteorological data, a reference crop evapotranspiration is calculated, and combined with the crop coefficient, the actual water requirement of the crop is obtained. Based on the real-time soil volumetric water content data and the static parameter value of field capacity, a water stress coefficient is calculated, and combined with future precipitation forecast data, a basic irrigation demand index is obtained. This invention uses the Shuttleworth-Wallace model to separate evapotranspiration and, based on multi-period rolling water balance calculation and risk decision rules, generates an irrigation index that integrates crop evapotranspiration, water deficit, and effective precipitation, achieving online calibration of soil parameters and optimization of irrigation decisions.

The invention provides a monthly-scale meteorological drought risk quantitative estimation method based on climate mode forecasting, and the method comprises the steps: determining an evaluation time period according to the occurrence condition of a drought process in an early-stage rainfall time period of an evaluation region, and carrying out the evaluation of the early-stage rainfall time period through the historical day-by-day rainfall observation data of a meteorological station in the evaluation time period for many years. Counting the number of duration days without effective precipitation and the average percentage of the accumulated precipitation in the evaluation period of each year, calculating a meteorological drought risk index of each year, and determining a grading threshold value of a meteorological drought risk grade by adopting a percentile method; and calculating a meteorological drought risk index of an estimated month and determining a risk level through the estimated data of the evaluation time period. According to the method, the non-effective rainfall duration day index considering the characteristic of less rainfall duration and the accumulated rainfall average percentage index reflecting the characteristic of less rainfall total amount are selected as estimation indexes, the complexity of an existing monthly-scale meteorological drought estimation method is overcome, and the estimation operability and reliability are improved.

The invention provides a mountainous area agricultural bearing capacity scale conversion method, and relates to the technical field of agricultural water resource management, and the method comprises the steps: obtaining the agricultural available water amount, the farmland comprehensive irrigation quota, geographic information data and agricultural production data, and calculating the agricultural available water amount and the farmland comprehensive irrigation quota; the macro-scale mountainous area agriculture bearable scale is obtained; calculating the geographic space data to obtain an effective precipitation amount; on the basis of the effective precipitation amount and the crop growth water demand, the rain-fed agriculture bearable scale is obtained; based on the effective precipitation, the agricultural production data and the rain-fed agricultural land parcel, obtaining an irrigation-type agricultural loadable scale, calculating the rain-fed agricultural loadable scale and the irrigation-type agricultural loadable scale to obtain a dynamic evaluation result of the spatial distribution of the mountainous area agricultural loadable scale, and completing the conversion of the mountainous area agricultural bearing capacity scale. According to the method, the problems that the agricultural bearing capacity in the mountainous area is difficult to dynamically and quantitatively evaluate and the macroscopic scale is converted into the microcosmic pattern spot scale are solved.

The invention discloses a rainfall fusion method, device, equipment, medium and product, and relates to the field of rainfall fusion, and the method comprises the steps: obtaining the monthly rainfall observation data and daily rainfall weight of each station; spatial interpolation is carried out on the monthly rainfall observation data and the daily rainfall weight of each station, and monthly rainfall and the daily rainfall weight of each pixel are obtained; performing principal component analysis on the grid precipitation product by adopting an unsupervised learning method to obtain an effective precipitation principal component corresponding to each pixel; constructing a regression model by adopting a supervised learning method according to monthly precipitation and effective precipitation principal components of the sample point pixels; predicting a preliminary monthly rainfall result of each pixel by adopting a regression model; performing spatial interpolation on the residual error of the regression model; correcting the initial monthly rainfall result of each pixel according to the interpolated residual error; and obtaining daily precipitation of each pixel according to the corrected monthly precipitation result and the daily precipitation weight. According to the invention, the precision and spatial distribution of the fused precipitation data can be improved.

The invention provides a near-natural plant community construction method of an engineering slope. The method comprises the steps that the annual precipitation of an area where a to-be-planted land is located and different types of slope parameters are obtained, and the effective precipitation of each type of slope is calculated; taking the effective precipitation of each type of slope as a condition, establishing a region library according to a moisture condition region similar to the to-be-built planting land, and screening and determining at least one typical region; investigating and analyzing plant distribution communities of various types of slopes in the typical area, and determining colonization species and associated species of the plant distribution communities according to importance and availability of each species; and respectively calculating slope surface wettability indexes of the to-be-planted land and various types of slopes in the typical area, and evaluating the suitability of the colonies and the associated species to the to-be-planted land according to the slope surface wettability indexes so as to construct a near-natural plant community of the engineering slope. According to the scheme, reasonable construction of the slope natural plant community of the to-be-built planting land can be realized.

The application discloses a kind of based on remote sensing and ground cooperation's field irrigation water consumption estimation method and device, belong to remote sensing technical field.It includes: obtaining multi-source remote sensing data and extracting optical vegetation index, surface albedo, surface temperature and backscattering coefficient;Obtain meteorological data, soil volume water content measured value and daily actual evapotranspiration measured value;Based on optical vegetation index, surface albedo, surface temperature, meteorological data and daily actual evapotranspiration measured value, construct deep neural network and predict daily actual evapotranspiration estimate value;According to backscattering coefficient, optical vegetation index and soil volume water content measured value, estimate root zone soil water storage change amount;According to daily actual evapotranspiration estimate value, root zone soil water storage change amount and effective precipitation, calculate the total irrigation water consumption estimate value of complete irrigation cycle.The application realizes the irrigation water consumption estimation of high precision of field scale, large range, all-weather continuous without need of canal head metering facility.

The invention relates to the related technical field of precipitation analysis, in particular to a tropical cyclone precipitation analysis method and device based on solar terminator dynamic mapping. According to the method, a sun tracking time frame is constructed, UTC moments of any longitude and latitude points in the world are converted into STT time coordinates, and then time sequence reconstruction and daily variation statistics are carried out on tropical cyclone path points and precipitation fields around the tropical cyclone path points. The method comprises the following specific steps: acquiring a high-resolution tropical cyclone path and rainfall data; converting the world time information into sun tracking time information; determining a mask area with the tropical cyclone track point as the center; extracting an effective precipitation grid in the mask area; and analyzing the data by taking time information during sun tracking as a label to obtain tropical cyclone precipitation daily change information. According to the method, the deviation caused by different longitudes and latitudes of a traditional time frame is overcome, and the daily variation rule of the tropical cyclone precipitation system can be disclosed under a unified sun tracking reference frame.

The invention relates to the technical field of hydrology and meteorology, and discloses a summer corn drought detection method and system.The method comprises the steps that day-by-day precipitation and evaporation capacity data in a certain area are obtained, and the effective precipitation and the actual water demand of summer corn are obtained; obtaining a difference value between the effective precipitation amount and the actual water demand amount of the summer corn within a certain period of time; performing trend fitting on the difference value D < t > by using a smooth spline so as to replace a position parameter of Log-logistic distribution, and obtaining a time-varying position parameter; acquiring Log-logistic distribution of a time-varying time sequence according to the time-varying position parameters, estimating the parameters by using a probability weighted distance method PWMs based on empirical frequency, and standardizing drought detection indexes; the invention provides a new non-stationary drought index of the summer maize, which considers the requirements of different crops in growth stages on moisture and the difference of drought tolerance, and can realize day-by-day fine detection of the drought of the summer maize.

This invention discloses a method, system, device, and storage medium for detecting effective precipitation in tropical cyclones, belonging to the field of tropical cyclone precipitation detection technology. The method includes: acquiring the center location, time information, and total daily precipitation of a tropical cyclone; dividing a buffer zone around the center location into a preset range, marking the grid within the buffer zone, and converting the buffer zone into a raster mask document; calculating the distance from the center point of the grid to the center location of each tropical cyclone, selecting the time information corresponding to the tropical cyclone with the smallest distance as the center time of that tropical cyclone passing through the grid; accumulating the total daily precipitation for a preset number of days before and after the center time to obtain the total precipitation caused by the tropical cyclone in the grid, and identifying grids with a total precipitation greater than a preset threshold as valid grids; calculating the cumulative area and cumulative precipitation of all valid grids as the total effective precipitation area and total effective precipitation of the tropical cyclone, thus completing the effective precipitation detection.

The application relates to the technical field of precipitation analysis, in particular to a tropical cyclone precipitation analysis method and device based on dynamic mapping of a solar dawn and dusk line. In the method, a solar tracking time framework is constructed to convert the UTC time of any latitude and longitude point in the world into STT time coordinates, and then the time sequence reconstruction and daily variation statistics of a tropical cyclone path point and a surrounding precipitation field are carried out. The specific steps comprise the following steps: obtaining high-resolution tropical cyclone path and precipitation data; converting world time information into solar tracking time information; determining a mask region with the tropical cyclone trajectory point as the center; extracting effective precipitation grids in the mask region; taking the solar tracking time information as a label to analyze the data, and obtaining the daily variation information of the tropical cyclone precipitation. The method overcomes the deviation caused by the traditional time framework among different latitudes and longitudes, and can reveal the daily variation law of the tropical cyclone precipitation system under the unified solar tracking time reference framework.

The invention provides a method for obtaining the contribution rate of a driving factor of agricultural irrigation water demand in an arid region, and belongs to the field of agricultural water resource management, and the method comprises the steps: constructing a research region SWAT model database; utilizing an improved SWAT model to simulate hydrological cycle components to calculate effective precipitation and crop evapotranspiration; calculating a net irrigation water demand by using effective rainfall and crop evapotranspiration, and calculating a gross irrigation water demand by combining an irrigation water utilization coefficient; and quantitatively solving the driving contribution of each factor based on an LMDI factor decomposition method. Through integration of precipitation temperature correction, distributed hydrological process simulation and an LMDI factor decomposition method of an SWAT model sub-basin according to an elevation zone, high-precision estimation of regional irrigation water demand and quantitative characterization of a driving factor contribution rate are realized, and a scientific regulation and control basis is provided for agricultural water resource management in an arid region.

The present invention discloses a method for constructing a water-soil coupled disaster fluid occurrence probability prediction model and a debris flow prediction method. The present invention provides a method for constructing a water-soil coupled disaster fluid occurrence probability prediction model. The method utilizes the water-soil coupled movement information in rainfall represented by AEP, introduces the simulation calculation of I-D curve construction technology to generate correlation data between AEP and the range of changes in bulk density of water-soil mixture in the disaster scene to reflect this information, and then uses curve fitting and graphical tools to convert and simplify the information, and finally achieves the problem of reflecting the co-occurrence between AEP and disaster occurrence probability through simple geometric analytical relationships, thereby constructing a target model. The present invention also provides a debris flow occurrence probability calculation method, a debris flow prediction method, and the application of each technical solution. The present invention uses the previous effective precipitation / previous rainfall as the only variable to calculate the probability of disaster fluid occurrence, highly simplifies the disaster prediction scheme, and can quantify the possibility of disaster occurrence.

A method for weather modification and precipitation enhancement can include emitting a pulsed laser beam to promote in-cloud interactions by generating shock and acoustic waves in the cloud. The repetition rate of the pulsed laser can be between about 1 kHz and about 200 kHz, which can be arbitrarily modulated. These interactions can induce convection and turbulence within the cloud, improving the collision-coalescence process and facilitating efficient precipitation in the cloud. Furthermore, the method involves arbitrary modulation of the pulsed laser repetition rate, which can generate acoustic waves of a wide range of frequencies. This capability can initiate acoustic wave agglomeration, in turn enhancing the collision-coalescence process for precipitation. The method can also include steering the beam in a helical or spiral path to increase the scale of the rainfall enhancement. The method, which does not use chemicals, can provide an environmentally friendly alternative to traditional cloud seeding methods for rainfall induction.

The invention discloses a geological disaster spatial-temporal distribution probability prediction method under different rainfall conditions, and the method comprises the steps: obtaining historical geological disaster data and meteorological rainfall data, and constructing a disaster-rainfall sample set; based on an exponential decay model, calculating the total effective precipitation and segmented accumulated precipitation of each sample; screening rainfall type disaster samples according to a comparison relationship between the total effective precipitation and the segmented accumulated precipitation of each sample and a preset threshold value; based on the discrimination coefficient and the actual contribution rate, discriminating the rainfall type disaster sample, and determining the dominant rainfall type inducing the disaster; and performing spatial-temporal distribution probability analysis according to the dominant rainfall type to generate a geological disaster occurrence prediction result. According to the method, the cumulative attenuation effect of rainfall is accurately quantified by introducing the exponential attenuation model, the dominant rainfall type is automatically identified based on the theoretical discrimination coefficient and the actual contribution rate, and refined prediction of geological disasters is realized in combination with dual threshold screening and disaster type adaptive parameter setting.

The invention discloses a method for reducing the precipitation temperature of a nano copper-rich phase and application of the method, and relates to the technical field of metal material precipitation strengthening. Rare earth metal elements are added into the copper-containing steel, and the precipitation temperature of a nano copper-rich phase is reduced to be not higher than 480 DEG C by regulating and controlling the copper precipitation behavior through the rare earth metal elements. According to the method, based on a 9R-Cu phase low-temperature precipitation mechanism of rare earth element micro regulation and control, the effective precipitation temperature of the 9R-Cu phase is reduced to 480 DEG C or below through the heterogeneous nucleation promotion effect of Ce atoms in the Cu precipitation process, so that it is guaranteed that a base material obtains the excellent strengthening effect, meanwhile, formation of a brittle phase on the interface of the composite material is avoided, and the service life of the composite material is prolonged. And coordination and unification of base material strengthening and interface stability are realized.