CN114518612A - Thunderstorm risk early warning method and system and electronic equipment - Google Patents
Thunderstorm risk early warning method and system and electronic equipment Download PDFInfo
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- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
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- G01S13/95—Radar or analogous systems specially adapted for specific applications for meteorological use
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Abstract
The invention discloses a thunderstorm risk early warning method, which comprises the following steps: the observation area is subjected to lattice localization, and each lattice point can correspond to the position of a target enterprise; acquiring meteorological data in real time through a meteorological observation system; calculating an invasion angle of the precipitation cloud cluster relative to the target enterprise according to the position and the moving direction of the precipitation cloud cluster; executing a corresponding rainstorm early warning grade judgment process based on the distance, the invasion angle, the radar echo intensity and the precipitation amount of precipitation cloud clusters around the target enterprise to obtain a corresponding rainstorm early warning grade, and issuing a corresponding rainstorm early warning to the target enterprise; corresponding thunder and lightning early warning grade judgment processes are executed based on the distance, the invasion angle, the radar echo intensity, the lightning quantity and the atmospheric electric field time-frequency domain mutation of the precipitation cloud cluster around the target enterprise, corresponding thunder and lightning early warning grades are obtained, and corresponding thunder and lightning early warnings are issued to the target enterprise. And accurate thunderstorm early warning in a small-range area is realized.
Description
Technical Field
The invention belongs to the technical field of meteorological disaster early warning, and particularly relates to a thunderstorm risk early warning method, a thunderstorm risk early warning system and electronic equipment.
Background
In recent years, extreme meteorological disasters, secondary disasters and derivative disasters occur in urban areas every year, and the meteorological disasters such as rainstorm, thunder and the like all form serious threats to the development of the whole area of economy and society, the safety of lives and properties of people and the ecological environment. In addition, with the acceleration of the urbanization process, urban population is gathered continuously, the bearing burden of urban infrastructure is increased continuously, the sensitivity and vulnerability of the city to the influence of weather and derived disasters are prominent, and urban waterlogging becomes a major hidden danger of the urbanization development. The heavy rainstorm causes water accumulation in most low-lying road sections and road culverts in cities, and the traveling, production and life of residents are seriously influenced. Thunderstorm activities in strong convection weather are increasingly serious, inconvenience is brought to production and life of people, lightning safety risks are not obviously changed particularly for casualty events in rural areas, and therefore, the research of carrying out risk early warning on the thunderstorm (thunder and rainstorm) in the strong convection weather is very important and urgently needed.
In recent years, with the development of scientific technology, a rainfall and thunder observation technology based on Phased Array Radar (PAR) real-time monitoring and strong convection weather appears, high-frequency observation of disastrous weather such as short-time strong rainfall, tornado, downburst storm, thunderstorm strong wind and the like is realized, and information such as structural change, dynamic structural change characteristics and the like of medium and small-scale disastrous weather with high space-time resolution can be acquired. The advantages of the phased array radar and the Doppler radar are complementary, a novel weather radar network with high and low resolution and combined long and short distance detection is formed, and the monitoring level and the forecast and early warning capability of the rapidly-changing medium and small-scale strong convection weather system are further improved. km is currently in the national popularization and application stage.
The TITAN (Tracking, Analysis and Nowcasting) is a system for identifying and Tracking thunderstorms, mainly uses radar data, and can also use satellite and lightning data, and the TITAN mainly uses radar once-through scanning data in a 3D or 2D rectangular coordinate system to identify the thunderstorms.
However, when the real-time monitoring capability is improved, the forecasting and early warning capability for extreme weather is also correspondingly and rapidly responded, the current weather early warning system can only carry out early warning and forecast for large-area rainfall or thunderstorm in cities, districts and counties, and cannot realize accurate risk early warning for local processes and sudden small-scale strong convection weather, especially for rainstorm and thunder accurate early warning of a certain small-range target site (such as a single enterprise range), so that property loss of enterprises is avoided.
Disclosure of Invention
The invention aims to provide a thunderstorm risk early warning method, a thunderstorm risk early warning system and electronic equipment, and aims to realize lattice small-range rainfall and thunder accurate early warning.
In a first aspect, the invention provides a thunderstorm risk early warning method for early warning thunder and rainstorm in an enterprise area, which comprises the following steps:
the method comprises the steps of performing lattice localization on an observation area, and obtaining lattice localization data in the observation area, wherein the lattice localization data comprise longitude and latitude of each lattice point, and each lattice point can correspond to the position of a target enterprise;
acquiring meteorological data in real time through a meteorological observation system, wherein the meteorological data comprise real-time positions of precipitation clouds, radar echo intensities, lightning data and precipitation amount;
calculating the distance, the position, the moving direction, the moving speed, the cloud cluster area, the radar echo intensity, the precipitation amount, the lightning amount and the atmospheric electric field time-frequency domain mutation quantity of precipitation cloud clusters around each grid point in real time based on the longitude and latitude of each grid point and the meteorological data;
calculating an invasion angle of the precipitation cloud cluster relative to the target enterprise according to the position and the moving direction of the precipitation cloud cluster;
executing a corresponding rainstorm early warning grade judgment process based on the distance, the invasion angle, the radar echo intensity and the precipitation amount of precipitation cloud clusters around the target enterprise to obtain a corresponding rainstorm early warning grade, and issuing a corresponding rainstorm early warning to the target enterprise;
and executing a corresponding thunder early warning grade judgment process based on the distance, the invasion angle, the radar echo intensity, the lightning quantity and the atmospheric electric field time-frequency domain mutation quantity of the precipitation cloud cluster around the target enterprise to obtain a corresponding thunder early warning grade, and issuing a corresponding thunder early warning to the target enterprise.
Optionally, the calculating the invasion angle of the precipitation cloud with respect to the target enterprise according to the position and the moving direction of the precipitation cloud comprises:
taking the direction of the center of the precipitation cloud cluster towards the grid point where the target enterprise is located as a first vector, and taking the moving direction of the precipitation cloud cluster as a second vector;
and calculating an included angle between the first vector and the second vector, and taking the included angle as the invasion angle.
Optionally, when there are a plurality of precipitation clouds around the target enterprise, the method for determining the moving direction of the precipitation clouds comprises:
taking the moving direction of the precipitation cloud cluster with the maximum radar echo intensity as a first moving direction, and if the echo intensities of the precipitation cloud clusters are the same, synthesizing the moving directions of the precipitation cloud clusters, and taking the synthesized direction as the first moving direction;
taking the moving direction of the precipitation cloud cluster with the largest area as a second moving direction, and if the areas of the precipitation cloud clusters are the same, synthesizing the moving directions of the precipitation cloud clusters, and taking the synthesized direction as the second moving direction;
and taking the resultant direction of the first direction and the second direction as the final moving direction of the target cloud cluster.
Optionally, calculating the duration of the influence of the precipitation cloud on the enterprise according to the distance between the precipitation cloud and the target enterprise and the moving speed of the precipitation cloud;
and issuing the influence duration at the same time of issuing a rainstorm warning and/or a thunder warning to the target enterprise.
Optionally, the corresponding rainstorm early warning level judgment process is executed based on the distance of the precipitation cloud cluster around the target enterprise, the intrusion angle, the radar echo intensity and the precipitation amount, and includes:
if the precipitation cloud cluster is located in the range of 10km of the target enterprise and the precipitation automatic monitoring station is located in the range of 10km of the target enterprise, issuing red risk early warning when the radar echo intensity is larger than or equal to 35dBz and the precipitation is larger than or equal to 5mm, and issuing orange risk early warning when the radar echo intensity is larger than or equal to 35dBz and the precipitation is 1-5 mm;
if the precipitation cloud cluster is located in the range of 10km of the target enterprise and no precipitation automatic detection station exists in the range of 10km of the target enterprise, issuing red risk early warning when the radar echo intensity is more than or equal to 50dBz and the invasion angle is less than 90 degrees, and issuing orange risk early warning when the radar echo intensity is more than or equal to 40dBz and the invasion angle is less than 90 degrees;
if the precipitation cloud cluster is located in a range of 10-20km of the target enterprise, issuing orange risk early warning when the radar echo intensity is more than or equal to 50dBz and the invasion angle is less than 90 degrees, and issuing yellow risk early warning when the radar echo intensity is more than or equal to 40dBz and the invasion angle is less than 90 degrees;
if the precipitation cloud cluster is located in the range of 20-30km of the target enterprise, issuing orange risk early warning when the radar echo intensity is larger than or equal to 50dBz and the invasion angle is smaller than 45 degrees, and issuing yellow risk early warning when the radar echo intensity is larger than or equal to 40dBz and the invasion angle is smaller than 45 degrees.
Optionally, after issuing the corresponding rainstorm warning to the target enterprise, executing a rainstorm warning upgrading and warning cancellation judgment process;
the rainstorm early warning upgrading and early warning removing judging process comprises the following steps:
after issuing the red risk warning:
if the precipitation cloud cluster is within 20km circle from the target enterprise and the radar echo intensity is less than 30dBz and lasts for more than 50 minutes, removing the red risk early warning, and if not, continuing to maintain the red risk early warning;
after issuing the orange warning:
if the precipitation cloud cluster enters a 10km circle of the target enterprise and the precipitation amount automatic monitoring station exists in the 10km circle, upgrading to red risk early warning when the radar echo intensity is larger than or equal to 35dBz and the precipitation amount is larger than or equal to 5mm, removing orange risk early warning if the precipitation cloud cluster moves to the target enterprise within 20km circle, the radar echo intensity is smaller than 35dBz and lasts for more than 5 minutes, and otherwise, maintaining orange risk early warning;
if the precipitation cloud cluster enters a 10km circle of the target enterprise and no precipitation amount automatic monitoring station exists in the 10km circle, upgrading to red risk early warning when the radar echo intensity is larger than or equal to 50dBz, removing orange risk early warning if the precipitation cloud cluster moves to a 20km circle of the target enterprise, the radar echo intensity is smaller than 35dBz and lasts for more than 5 minutes, and otherwise, maintaining orange risk early warning;
after yellow risk warning is issued:
if the precipitation cloud cluster enters the target enterprise within 20-30km circle, the radar echo intensity is more than or equal to 50dBz, and the invasion angle is less than 45 degrees, upgrading to orange risk early warning;
if the precipitation cloud cluster enters a 10km circle of the target enterprise and the precipitation amount automatic monitoring station exists in the 10km circle, upgrading to red risk early warning when the radar echo intensity is larger than or equal to 35dBz and the precipitation amount is larger than or equal to 5mm, removing yellow risk early warning when the precipitation cloud cluster moves to the target enterprise within 20km circle, the radar echo intensity is smaller than 30dBz and lasts for more than 5 minutes, and otherwise, maintaining the yellow risk early warning;
and if the precipitation cloud cluster enters a 10km circle of the target enterprise and no precipitation amount automatic monitoring station exists in the 10km circle, upgrading to red risk early warning when the radar echo intensity is more than or equal to 50dBz, removing yellow risk early warning when the precipitation cloud cluster moves to a 20km circle of the target enterprise, the radar echo intensity is less than 30dBz and lasts for more than 5 minutes, and otherwise, maintaining yellow risk early warning.
Optionally, carry out corresponding thunder and lightning early warning level and judge the flow based on distance, invasion angle, radar echo intensity, lightning quantity and the atmospheric electric field time-frequency domain sudden change of precipitation cloud cluster around the target enterprise, include:
if the precipitation cloud cluster is located in a 10km range circle of the target enterprise, issuing a red risk early warning when the radar echo intensity is larger than or equal to 50dBz and the lightning quantity is larger than or equal to 6 or the frequency domain break variable is larger than or equal to 2 when the lightning echo intensity is larger than or equal to 50dBz and the lightning quantity is smaller than or equal to 6 or 1 and smaller than or equal to the atmospheric electric field and issuing a orange risk early warning when the radar echo intensity is larger than or equal to 40dBz and the frequency domain break variable is smaller than 1 when the lightning quantity is smaller than 0 or 0.1 and smaller than the atmospheric electric field;
if the precipitation cloud cluster is located in a range of 10-20km of the target enterprise, issuing orange risk early warning when the radar echo intensity is more than or equal to 45dBz, the intrusion angle is less than 90 degrees and the lightning number is more than or equal to 3, and issuing yellow risk early warning when the radar echo intensity is more than or equal to 40dBz, the intrusion angle is less than 90 degrees and the lightning number is less than 3;
if the precipitation cloud cluster is located in the range of 20-30km of the target enterprise, issuing orange risk early warning when the radar echo intensity is larger than or equal to 40dBz, the intrusion angle is smaller than 45 degrees and the lightning number is larger than or equal to 3, and issuing yellow risk early warning when the radar echo intensity is larger than or equal to 40dBz, the intrusion angle is smaller than 90 degrees and the lightning number is smaller than 3.
Optionally, after the corresponding lightning early warning is issued to the target enterprise, a lightning early warning upgrading and early warning removing judgment process is executed;
the lightning early warning upgrading and early warning removing judgment process comprises the following steps:
after issuing the red risk warning:
if the precipitation cloud cluster is moved out of the target enterprise within 20-30km circle, the invasion angle is larger than 90 degrees, the lightning quantity is smaller than 0, the radar echo intensity is smaller than 30dBz and lasts for more than 5 minutes, the red risk early warning is removed, and if not, the red risk early warning is continuously maintained;
after issuing the orange early warning:
if the precipitation cloud cluster enters 10km circles of the target enterprise, the radar echo intensity is more than or equal to 50dBz, and the lightning quantity is more than or equal to 6, upgrading to red risk early warning, if the precipitation cloud cluster moves to 20-30km circles of the target enterprise, the lightning quantity is less than 0, the intrusion angle is more than 90 degrees, the radar echo intensity is less than 30dBz and lasts for more than 5 minutes, removing orange risk early warning, and otherwise, maintaining orange risk early warning;
after yellow risk warning is issued:
if the precipitation cloud cluster enters 10-20km circles of the target enterprise, the lightning quantity is more than or equal to 3, and the radar echo intensity is more than or equal to 40dBz, upgrading to orange risk early warning;
upgrading to red risk early warning if precipitation cloud cluster enters 10km circles of the target enterprise, the number of lightning is more than or equal to 6, and the radar echo intensity is more than or equal to 50 dBz;
and if the precipitation cloud cluster moves to the target enterprise within 20-30km circle, the lightning quantity is less than 0, the intrusion angle is more than 90 degrees, the radar echo intensity is less than 30dBz and lasts for more than 5 minutes, removing the yellow risk early warning, otherwise, maintaining the yellow risk early warning.
In a second aspect, the present invention provides a thunderstorm risk early warning system, including:
the data acquisition module is used for carrying out lattice localization on the observation area and acquiring lattice localization data in the observation area, wherein the lattice localization data comprises the longitude and latitude of each lattice point, and each lattice point can correspond to the position of a target enterprise; acquiring meteorological data in real time through a meteorological observation system, wherein the meteorological data comprise real-time positions of precipitation clouds, radar echo intensity, lightning data and precipitation amount;
the data processing module is used for calculating the distance, the position, the moving direction, the moving speed, the cloud cluster area, the radar echo intensity, the lightning quantity and the atmospheric electric field time-frequency domain mutation quantity of the precipitation cloud cluster around each grid point in real time based on the longitude and latitude of each grid point and the meteorological data; calculating an invasion angle of the precipitation cloud cluster relative to the target enterprise according to the position and the moving direction of the precipitation cloud cluster;
the early warning issuing module is used for executing a corresponding rainstorm early warning grade judging process based on the distance, the invasion angle, the radar echo intensity and the precipitation amount of precipitation cloud clusters around the target enterprise and issuing rainstorm early warning of the corresponding grade to the target enterprise; and executing a corresponding lightning early warning grade judgment process based on the distance, the invasion angle, the radar echo intensity, the lightning quantity and the atmospheric electric field time-frequency domain mutation quantity of the precipitation cloud cluster around the target enterprise, and issuing corresponding grade lightning early warning to the target enterprise.
In a third aspect, the present invention provides an electronic device, including: at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of the first aspect.
The invention has the beneficial effects that:
the method has the advantages that: the invention carries out lattice localization on an observation area and acquires lattice localization data to realize the division of the small-range area of the lattice points of the observation area, thereby being convenient for carrying out the small-range accurate rainstorm and thunder early warning on an enterprise-level area, obtaining the distance, the position, the moving direction, the moving speed, the cloud cluster area, the radar echo intensity, the lightning quantity and the meteorological data related to a frequency domain mutation quantity thunderstorm system in an atmospheric electric field around each lattice point through a meteorological system, then calculating the invasion angle of the precipitation cloud cluster relative to a target enterprise according to the position and the moving direction of the precipitation cloud cluster, and executing the corresponding rainstorm early warning level judgment flow and the lightning early warning level judgment flow according to the obtained correlative data of the invasion angle and the like of the precipitation cloud cluster to obtain the corresponding precipitation, lightning and the like, And the lightning risk early warning grade is obtained, and corresponding precipitation and lightning early warning are issued to target enterprises, so that lattice and enterprise-level fine thunderstorm risk early warning is realized.
The method has the advantages that: the early warning method has the advantages that the early warning correlation factors are rich and high in correlation, the early warning consideration factors for precipitation and lightning risks in strong convection weather are combined with the actual early warning forecast judgment condition and the factor with high influence correlation to serve as the automatic judgment condition, and the accurate automatic risk early warning technology is achieved.
The method has the advantages that: the method has the advantages that automatic judgment is carried out, risk early warning is sent automatically, response time and quick response emergency allowance are improved, weather forecast early warning is usually sent through manual judgment at present, quick response to strong convection weather and local small-scale systems is not timely enough, emergency response time to enterprises is short, automatic judgment early warning is adopted, the enterprise users can be reached in a second level, and property loss of the enterprise users is effectively avoided.
The system of the present invention has other features and advantages which will be apparent from or are set forth in detail in the accompanying drawings and the following detailed description, which are incorporated herein, and which together serve to explain certain principles of the invention.
Drawings
The above and other objects, features and advantages of the present invention will become more apparent by describing in more detail exemplary embodiments thereof with reference to the attached drawings, in which like reference numerals generally represent like parts.
Fig. 1 shows a step diagram of a thunderstorm risk early warning method according to embodiment 1 of the invention.
Fig. 2 is a schematic diagram illustrating the gridding of the observation region in the thunderstorm risk early warning method according to embodiment 1 of the present invention.
Detailed Description
The invention will be described in more detail below with reference to the accompanying drawings. While the preferred embodiments of the present invention are shown in the drawings, it should be understood that the present invention may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
Example 1
The invention provides a thunderstorm risk early warning method, which is used for early warning thunder and rainstorm in an enterprise range area, and comprises the following steps:
step S101, rasterizing an observation area to obtain rasterized data in the observation area, wherein the rasterized data comprises longitude and latitude of each grid point, and each grid point can correspond to the position of a target enterprise;
in a specific application scenario, an observation area in province or city can be subjected to grid localization, longitude and latitude information of each grid point can be obtained, each grid point can correspond to the longitude and latitude of an enterprise, and accurate positioning and thunderstorm risk early warning of each enterprise location in the observation area can be conveniently achieved subsequently.
Taking the observation area as the Guangdong province as an example, as shown in fig. 2, the Guangdong province is subjected to lattice partitioning, the size of the lattice points can be partitioned according to actual needs or the achievable precision, and the parameters of the lattice point partitioning in the example are as follows:
the number of latitude lattice points is: 571, interval: 0.01, starting latitude: 20, ending latitude: 25.7;
number of longitude lattice points: 861, interval: 0.01, start longitude: 109.4, end longitude: 118.
step S102, acquiring meteorological data in real time through a meteorological observation system, wherein the meteorological data comprises the real-time position of a precipitation cloud cluster, radar echo intensity, lightning data and precipitation amount;
in the specific application scenario, the real-time acquisition of the meteorological data related to the precipitation cloud cluster in the observation area can be realized by butting the TITAN system, the meteorological satellite system, the precipitation monitoring automatic station and other meteorological systems.
In one example, a plurality of precipitation cloud information (including precipitation cloud center, area, speed of movement, direction of movement, etc.) is obtained via the TITAN product
An example of relevant code for obtaining the TITAN system data is as follows:
step S103, calculating the distance, the position, the moving direction, the moving speed, the cloud cluster area, the radar echo intensity, the precipitation amount, the lightning amount and the atmospheric electric field time-frequency domain mutation quantity of precipitation cloud clusters around each grid point in real time based on the longitude and latitude and meteorological data of each grid point;
in the specific application scenario, the distance between the precipitation cloud cluster and the grid point coordinates, the position, the moving direction, the moving speed, the cloud cluster area, the radar echo intensity, the lightning quantity and the atmospheric electric field time-frequency domain mutation quantity can be directly obtained or obtained by calculation through real-time radar extrapolation data, and the actually measured precipitation quantity is obtained in real time through the precipitation detection automatic station.
In this embodiment, the method for determining the position of the precipitation cloud cluster includes:
based on the target enterprise (lattice point) as the origin of coordinate axis, vector of east-righting vector
The (origin → (1,0) point) is taken as a reference, the 360 ° is divided into eight azimuth areas, and the azimuth of the precipitation cloud cluster is determined based on the following azimuth determination table of the precipitation cloud cluster.
Table 1: precipitation cloud cluster position judgment meter
The method for judging the direction to which the precipitation cloud cluster moves is as follows:
based on the precipitation cloud cluster center as the origin of coordinate axis, the west-east direction as the horizontal axis, the south-north direction as the vertical axis and the east-rightness vector
The (origin → coordinate (1,0) point) is used as a reference, and 360 ° is divided into eight azimuth regions, and the determination is performed based on the following precipitation cloud cluster movement azimuth determination table.
Table 2: precipitation cloud cluster position judgment meter
The method for determining the moving direction of the precipitation cloud cluster comprises the following steps:
when a plurality of precipitation clouds are arranged around a target enterprise, taking the moving direction of the precipitation cloud with the maximum radar echo intensity as a first moving direction, and if the echo intensities of the precipitation clouds are the same, synthesizing the moving directions of the precipitation clouds, and taking the synthesized direction as the first moving direction;
then, taking the moving direction of the precipitation cloud cluster with the largest area as a second moving direction, and if the areas of the precipitation cloud clusters are the same, synthesizing the moving directions of the precipitation cloud clusters, and taking the synthesized direction as the second moving direction;
and taking the resultant direction of the first direction and the second direction as the final moving direction of the target cloud cluster.
In one example, when affected by multiple precipitation clouds within 30km of the target enterprise's perimeter, multiple directions of movement are involved, thus requiring a treatment.
The treatment method comprises the following steps:
judging according to the maximum radar echo intensity (the maximum echo intensity is read from a TITAN product) and the area of the precipitation cloud cluster:
(1) selecting the moving direction of precipitation cloud cluster with the maximum radar echo intensity
If the intensities of the multiple echoes are the same, synthesizing the multiple directions, and taking the synthesized direction;
(2) selecting the moving direction of precipitation cloud cluster with the largest area
If the areas are the same, synthesizing in multiple directions, and taking the synthesizing direction;
(3) moving direction of precipitation cloud cluster with maximum echo intensity
And the moving direction of the precipitation cloud cluster with the largest area
Synthesizing, taking the synthesizing direction
Step S104, calculating an invasion angle of the precipitation cloud cluster relative to the target enterprise according to the position and the moving direction of the precipitation cloud cluster;
in the above specific application scenario, calculating the intrusion angle of the precipitation cloud with respect to the target enterprise according to the position and the moving direction of the precipitation cloud includes:
taking the direction of the center of the precipitation cloud cluster towards the lattice point where the target enterprise is located as a first vector, and taking the moving direction of the precipitation cloud cluster as a second vector;
and calculating an included angle between the first vector and the second vector, and taking the included angle as an invasion angle.
The vector A1 is a vector of the mass center of the current thunderstorm (precipitation cloud cluster) pointing to the target enterprise position, the vector A2 is a vector of the moving direction of the thunderstorm (precipitation cloud cluster), the invasion angle theta is an included angle between the vector A1 and the vector A2, when the invasion angle theta is smaller than 90 degrees, the precipitation cloud cluster can be judged to move towards the enterprise position, when the invasion angle theta is smaller than 45 degrees, the precipitation cloud cluster can be judged to move to the enterprise core area, and when the invasion angle theta is larger than 90 degrees, the precipitation cloud cluster can be judged to move away from the enterprise.
Step S105, executing a corresponding rainstorm early warning grade judgment process based on the distance, the invasion angle, the radar echo intensity and the precipitation amount of precipitation cloud clusters around the target enterprise to obtain a corresponding rainstorm early warning grade, and issuing a corresponding rainstorm early warning to the target enterprise;
in the above specific application scenario, the step specifically includes:
if the precipitation cloud cluster is located in a range of 10km of a target enterprise and an automatic precipitation monitoring station is located in the range of 10km of the target enterprise, issuing a red risk early warning when the radar echo intensity is larger than or equal to 35dBz and the precipitation is larger than or equal to 5mm, and issuing an orange risk early warning when the radar echo intensity is larger than or equal to 35dBz and the precipitation is 1-5 mm;
if the precipitation cloud cluster is located in a range of 10km of the target enterprise and no precipitation automatic detection station exists in the range of 10km of the target enterprise, issuing red risk early warning when the radar echo intensity is more than or equal to 50dBz and the invasion angle is less than 90 degrees, and issuing orange risk early warning when the radar echo intensity is more than or equal to 40dBz and the invasion angle is less than 90 degrees;
if the precipitation cloud cluster is located in a range of 10-20km of a target enterprise, issuing orange risk early warning when the radar echo intensity is more than or equal to 50dBz and the invasion angle is less than 90 degrees, and issuing yellow risk early warning when the radar echo intensity is more than or equal to 40dBz and the invasion angle is less than 90 degrees;
if the precipitation cloud cluster is located in a range of 20-30km of the target enterprise, issuing orange risk early warning when the radar echo intensity is larger than or equal to 50dBz and the invasion angle is smaller than 45 degrees, and issuing yellow risk early warning when the radar echo intensity is larger than or equal to 40dBz and the invasion angle is smaller than 45 degrees.
And S106, executing a corresponding lightning early warning grade judgment process based on the distance, the invasion angle, the radar echo intensity, the lightning quantity (lightning stroke quantity) and the atmospheric electric field time-frequency domain mutation quantity of the precipitation cloud cluster around the target enterprise to obtain a corresponding lightning early warning grade, and issuing the corresponding lightning early warning to the target enterprise.
In the above specific application scenario, the step specifically includes:
if the precipitation cloud cluster is located in a 10km range circle of a target enterprise, issuing a red risk early warning when the radar echo intensity is larger than or equal to 50dBz and the lightning quantity is larger than or equal to 6 or the frequency domain break variable is larger than or equal to 2 when the atmospheric electric field exists, issuing an orange risk early warning when the radar echo intensity is larger than or equal to 50dBz and the lightning quantity is smaller than or equal to 6 or 1 and smaller than or equal to 2 when the atmospheric electric field exists, and issuing a yellow risk early warning when the radar echo intensity is larger than or equal to 40dBz and the frequency domain break variable is smaller than 1 when the lightning quantity is smaller than 0 or 0.1 and smaller than the atmospheric electric field exists;
if the precipitation cloud cluster is located in a range of 10-20km of a target enterprise, issuing orange risk early warning when the radar echo intensity is more than or equal to 45dBz, the intrusion angle is less than 90 degrees and the lightning number is more than or equal to 3, and issuing yellow risk early warning when the radar echo intensity is more than or equal to 40dBz, the intrusion angle is less than 90 degrees and the lightning number is less than 3;
if the precipitation cloud cluster is located in the range of 20-30km of the target enterprise, issuing orange risk early warning when the radar echo intensity is larger than or equal to 40dBz, the intrusion angle is smaller than 45 degrees and the lightning number is larger than or equal to 3, and issuing yellow risk early warning when the radar echo intensity is larger than or equal to 40dBz, the intrusion angle is smaller than 90 degrees and the lightning number is smaller than 3.
In this embodiment, preferably, the method further includes calculating an influence duration of the precipitation cloud on the enterprise according to a distance between the precipitation cloud and the target enterprise and a moving speed of the precipitation cloud; and issuing the influence duration at the same time of issuing the rainstorm early warning and/or the thunder early warning to the target enterprise.
Calculating the time of predicting the influence on the target enterprise:
s: distance between precipitation cloud cluster center and enterprise
V: moving speed of precipitation cloud cluster (maximum moving speed in 30km circle)
T: the time when the precipitation cloud cluster influences the target enterprise point is T ═ S/V + the current time.
In this embodiment, after issuing the corresponding rainstorm warning to the target enterprise, the method further includes:
step S107: executing rainstorm early warning upgrading and early warning relieving judgment processes;
in the above specific application scenario, the rainstorm warning upgrading and warning removing judgment process includes:
after issuing the red risk warning:
if the precipitation cloud cluster is within 20km circle from the target enterprise and the radar echo intensity is less than 30dBz and lasts for more than 50 minutes, the red risk early warning is removed, and if not, the red risk early warning is continuously maintained;
after issuing the orange warning:
if the precipitation cloud cluster enters a 10km circle of a target enterprise and the precipitation amount automatic monitoring station exists in the 10km circle, upgrading to red risk early warning when the radar echo intensity is larger than or equal to 35dBz and the precipitation amount is larger than or equal to 5mm, removing orange risk early warning if the precipitation cloud cluster moves to a 20km circle of the target enterprise, the radar echo intensity is smaller than 35dBz and lasts for more than 5 minutes, and otherwise, maintaining orange risk early warning;
if the precipitation cloud cluster enters a 10km circle of a target enterprise and no precipitation amount automatic monitoring station exists in the 10km circle, upgrading to red risk early warning when the radar echo intensity is larger than or equal to 50dBz, removing orange risk early warning if the precipitation cloud cluster moves to a 20km circle of the target enterprise, the radar echo intensity is smaller than 35dBz and lasts for more than 5 minutes, and otherwise, maintaining the orange risk early warning;
after yellow risk warning is issued:
if the precipitation cloud cluster enters 20-30km circles of a target enterprise, the radar echo intensity is more than or equal to 50dBz, and the invasion angle is less than 45 degrees, upgrading to orange risk early warning;
if the precipitation cloud cluster enters a 10km circle of a target enterprise and the precipitation amount automatic monitoring station exists in the 10km circle, upgrading to red risk early warning when the radar echo intensity is larger than or equal to 35dBz and the precipitation amount is larger than or equal to 5mm, removing yellow risk early warning when the precipitation cloud cluster moves to a 20km circle of the target enterprise, the radar echo intensity is smaller than 30dBz and lasts for more than 5 minutes, and otherwise, maintaining the yellow risk early warning;
and if the precipitation cloud cluster enters a 10km circle of the target enterprise and no precipitation amount automatic monitoring station exists in the 10km circle, upgrading the precipitation cloud cluster into red risk early warning when the radar echo intensity is more than or equal to 50dBz, and if the precipitation cloud cluster moves to a 20km circle of the target enterprise, the radar echo intensity is less than 30dBz and lasts for more than 5 minutes, removing yellow risk early warning, otherwise, maintaining yellow risk early warning.
In this embodiment, after issuing corresponding thunder and lightning early warning to the target enterprise, still include:
s108, executing lightning early warning upgrading and early warning removing judgment processes;
in the above specific application scenario, the procedure of lightning early warning upgrade and early warning cancellation judgment includes:
after issuing the red risk warning:
if the precipitation cloud cluster is moved out of the target enterprise within 20-30km circle, the invasion angle is larger than 90 degrees, the lightning quantity is smaller than 0, the radar echo intensity is smaller than 30dBz and lasts for more than 5 minutes, the red risk early warning is removed, and if not, the red risk early warning is continuously maintained;
after issuing the orange warning:
if the precipitation cloud cluster enters 10km circles of the target enterprise, the radar echo intensity is more than or equal to 50dBz, and the lightning quantity is more than or equal to 6, upgrading to red risk early warning, if the precipitation cloud cluster moves to 20-30km circles of the target enterprise, the lightning quantity is less than 0, the intrusion angle is more than 90 degrees, the radar echo intensity is less than 30dBz and lasts for more than 5 minutes, removing orange risk early warning, and otherwise, maintaining orange risk early warning;
after yellow risk warning is issued:
if the precipitation cloud cluster enters 10-20km circles of the target enterprise, the lightning quantity is more than or equal to 3, and the radar echo intensity is more than or equal to 40dBz, upgrading to orange risk early warning;
upgrading to red risk early warning if precipitation cloud cluster enters 10km circles of the target enterprise, the number of lightning is more than or equal to 6, and the radar echo intensity is more than or equal to 50 dBz;
and if the precipitation cloud cluster moves to the target enterprise within 20-30km circle, the lightning quantity is less than 0, the intrusion angle is more than 90 degrees, the radar echo intensity is less than 30dBz and lasts for more than 5 minutes, removing the yellow risk early warning, otherwise, maintaining the yellow risk early warning.
After steps S101 to S108 are executed, the parameters output by the present embodiment include:
output each grid point per minute:
lon: longitude (G)
Lat: latitude
T1: current time (time of year, month and day)
Azimuth: the current position of precipitation cloud cluster (eight azimuth angles: E/NE/N/NW/W/SW/S/SN)
Move: moving direction of precipitation cloud (eight azimuth angles: E/NE/N/NW/W/SW/S/SN)
S: distance between precipitation cloud cluster center and enterprise
V: moving speed of precipitation cloud cluster (maximum moving speed in 30km circle)
T2: the time (year, month and day time) when the precipitation cloud cluster affects the project point, T2 is S/V + T1
Warn: rainstorm risk early warning level
Red early warning: warn is 3
Orange early warning: warn is 2
Yellow early warning: warn is 1
Relieving early warning: warn ═ 1
In summary, in this embodiment, an observation area is first subjected to lattice localization, lattice localization data is obtained, division of a small-range area of lattice points of the observation area is realized, accurate rainstorm and lightning early warning in a small range is facilitated for an enterprise-level area, weather data related to precipitation clouds around each lattice point, such as distance, orientation, moving direction, moving speed, cloud area, radar echo intensity, lightning quantity, and atmospheric electric field time-frequency domain mutation amount, is obtained through a weather system, an intrusion angle of the precipitation cloud clouds relative to a target enterprise is calculated according to the orientation and moving direction of the precipitation cloud clouds, a corresponding rainstorm early warning level judgment process and a corresponding lightning early warning level judgment process are executed according to the obtained relevant data, such as the intrusion angle of the precipitation cloud clouds, and the like, corresponding precipitation and lightning early warning levels are obtained, and corresponding precipitation and lightning early warnings are issued to the target enterprise, and lattice point and enterprise-level fine thunderstorm risk early warning is realized.
Example 2
A thunderstorm risk early warning system, comprising:
the data acquisition module is used for carrying out lattice localization on the observation area and acquiring lattice localization data in the observation area, wherein the lattice localization data comprises the longitude and latitude of each lattice point, and each lattice point can correspond to the position of a target enterprise; acquiring meteorological data in real time through a meteorological observation system, wherein the meteorological data comprise the real-time position of a precipitation cloud cluster, radar echo intensity, lightning data and precipitation amount;
the data processing module is used for calculating the distance, the position, the moving direction, the moving speed, the cloud cluster area, the radar echo intensity, the lightning quantity and the atmospheric electric field time-frequency domain mutation quantity of the precipitation cloud cluster around each grid point in real time based on the longitude and latitude and the meteorological data of each grid point; calculating an invasion angle of the precipitation cloud cluster relative to the target enterprise according to the position and the moving direction of the precipitation cloud cluster;
the early warning issuing module is used for executing a corresponding rainstorm early warning grade judging process based on the distance, the invasion angle, the radar echo intensity and the precipitation amount of precipitation cloud clusters around the target enterprise and issuing rainstorm early warning of the corresponding grade to the target enterprise; and executing a corresponding lightning early warning grade judgment process based on the distance, the invasion angle, the radar echo intensity, the lightning quantity and the atmospheric electric field time-frequency domain mutation quantity of the precipitation cloud cluster around the target enterprise, and issuing corresponding grade lightning early warning to the target enterprise.
In a specific embodiment, the thunderstorm risk early warning system of the embodiment can be developed and designed for a black box early warning model software system.
In one example, the development framework is:
the black box early warning model can be built based on Java language and combined with a Springboot framework, radar extrapolation data, TITAN products, automatic station precipitation data and provincial grid point data are integrated, business operation of the rainstorm integrated model is achieved, and grid point early warning, fixed-point enterprise early warning service, model configuration service and the like are carried out through an RESTful interface.
The database adopts a PostgreSQL which is a selective open source database as a database management system. PostGIS in PostgreSQL is an extension of PostgreSQL in an object relational database system, providing spatial information service functions such as: spatial objects, spatial indices, spatial operation functions, and spatial operators.
Integration of model business:
and packaging the black box by adopting a development language, and reading radar extrapolation data, a TITAN product, automatic station dewatering data, provincial grid point regional data and model dynamic parameter data in real time.
And calculating the longitude and latitude, the moving direction of the surrounding precipitation cloud cluster, the position, the relative distance, the moving speed, the influence time and other information of each lattice point in real time based on the data such as the TITAN product, the grid-point regional data of the whole province and the like.
And integrating a rainstorm early warning model algorithm to calculate and release a rainstorm early warning level in real time by utilizing multi-source heterogeneous data such as radar extrapolation data and automatic station rainfall data, and updating the early warning level of each grid point according to the upgrading and releasing process of disaster early warning. The specific method details are explained with reference to the third section of the algorithm.
Outputting a lattice point early warning product every 3 minutes, referring to the early warning lattice point requirement in the third section, averaging about 50 ten thousand lattice point data in 3 minutes, and storing 7 metadata for each lattice point every time, so that 350 ten thousand metadata in total need to be stored every minute, and considering the storage mode of massive lattice point early warning products and the time needed by the lattice point early warning data.
And outputting a lattice point early warning file product (json) and a lattice point early warning picture product so as to verify the reliability of the model algorithm and assist in parameter adjustment in the early stage.
The early warning model operation needs to output a log file locally so as to check the operation condition and the used model parameters.
Data interface of the model:
and providing data service by adopting a RESTful interface, and calling shortcut data by adopting an http mode.
And realizing the batch acquisition of the lattice point early warning products of the enterprises according to the product time, the longitude and latitude of the enterprises, the name information list and the disaster type (rainstorm).
And acquiring the lattice point early warning products according to the product time and the disaster type (rainstorm).
And (3) model parameter configuration:
and a visual interface is built, so that the visual dynamic configuration of algorithm parameters of the rainstorm early warning model can be realized, and the parameters include parameters such as intrusion angle, radar intensity, automatic station precipitation, early warning circle kilometers, effective lattice number, state duration and the like. When the model is configured, two disasters need to be configured separately.
The algorithm for executing the early warning by the early warning model refers to embodiment 1, and is not described herein again.
In an actual application scene, the early warning system obtains a plurality of precipitation cloud cluster information (including the center, the area, the moving speed, the moving direction and the like) through the TITAN product. In order to avoid omission, the invasion angle of each precipitation cloud cluster needs to be calculated independently, the center of the precipitation cloud cluster is used as a central point, and whether the invasion angle meets the condition set in the early warning process or not is judged.
Judging the invasion angle, wherein the invasion angle meets the early warning condition, focusing on the precipitation cloud cluster, recording as the precipitation cloud cluster A, and judging the position of the precipitation cloud cluster A and the position to which the precipitation cloud cluster A moves. If the intrusion angles of a plurality of precipitation clouds meet the early warning condition, the maximum echo intensity (data of a TITAN product) is taken as a reference, and if the echo intensities are the same, the maximum area is taken as a reference. The radar echo intensity can access radar extrapolation data through a data interface, and whether the maximum radar reflectivity falls in a circle of 10km, 20km or 30km around a grid point or not is judged through an algorithm. The TITAN product data is updated once every 6 minutes, and the early warning system can output an early warning result once every 3 minutes.
The platform user can input the longitude and latitude of the target enterprise, and the early warning result of a certain lattice point can be automatically matched.
In order to ensure the safety of the early warning system, the black box early warning model can adopt single machine configuration, and the safe and isolated operation of the system is ensured. After the system is put into operation, the system keeps uninterrupted operation for 7 multiplied by 24 hours as much as possible, so that the real-time update of the rainstorm early warning product data can be realized, and the update of the system data can be kept available. The system can support outputting 0.01 x 0.01 resolution ratio of about 50 ten thousand points in Guangdong province, and data information of the rainstorm early warning product at each point is stored and called in mass data.
Example 3
An electronic device, the electronic device comprising: at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of thunderstorm risk early warning of embodiment 1.
An electronic device according to an embodiment of the disclosure includes a memory for storing non-transitory computer-readable instructions and a processor. In particular, the memory may include one or more computer program products that may include various forms of computer-readable storage media, such as volatile memory and/or non-volatile memory. The volatile memory may include, for example, Random Access Memory (RAM), cache memory (cache), and/or the like. The non-volatile memory may include, for example, Read Only Memory (ROM), hard disk, flash memory, etc.
The processor may be a Central Processing Unit (CPU) or other form of processing unit having data processing capabilities and/or instruction execution capabilities, and may control other components in the electronic device to perform desired functions. In one embodiment of the disclosure, the processor is configured to execute the computer readable instructions stored in the memory.
Those skilled in the art should understand that, in order to solve the technical problem of how to obtain a good user experience, the present embodiment may also include well-known structures such as a communication bus, an interface, and the like, and these well-known structures should also be included in the protection scope of the present disclosure.
For the detailed description of the present embodiment, reference may be made to the corresponding descriptions in the foregoing embodiments, which are not repeated herein.
Having described embodiments of the present invention, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments.
Claims (10)
1. A thunderstorm risk early warning method is used for carrying out lightning and rainstorm early warning on an enterprise area, and is characterized by comprising the following steps:
the method comprises the steps of performing lattice localization on an observation area, and obtaining lattice localization data in the observation area, wherein the lattice localization data comprise longitude and latitude of each lattice point, and each lattice point can correspond to the position of a target enterprise;
acquiring meteorological data in real time through a meteorological observation system, wherein the meteorological data comprise real-time positions of precipitation clouds, radar echo intensities, lightning data and precipitation amount;
calculating the distance, the position, the moving direction, the moving speed, the cloud cluster area, the radar echo intensity, the precipitation amount, the lightning amount and the atmospheric electric field time-frequency domain mutation quantity of precipitation cloud clusters around each grid point in real time based on the longitude and latitude of each grid point and the meteorological data;
calculating an invasion angle of the precipitation cloud cluster relative to the target enterprise according to the position and the moving direction of the precipitation cloud cluster;
executing a corresponding rainstorm early warning grade judgment process based on the distance, the invasion angle, the radar echo intensity and the precipitation amount of precipitation cloud clusters around the target enterprise to obtain a corresponding rainstorm early warning grade, and issuing a corresponding rainstorm early warning to the target enterprise;
and executing a corresponding thunder early warning grade judgment process based on the distance, the invasion angle, the radar echo intensity, the lightning quantity and the atmospheric electric field time-frequency domain mutation quantity of the precipitation cloud cluster around the target enterprise to obtain a corresponding thunder early warning grade, and issuing a corresponding thunder early warning to the target enterprise.
2. The method of claim 1, wherein the calculating the intrusion angle of the precipitation cloud with respect to the target enterprise according to the orientation and the moving direction of the precipitation cloud comprises:
taking the direction of the center of the precipitation cloud cluster towards the grid point where the target enterprise is located as a first vector, and taking the moving direction of the precipitation cloud cluster as a second vector;
and calculating an included angle between the first vector and the second vector, and taking the included angle as the intrusion angle.
3. The thunderstorm risk early-warning method according to claim 1, wherein when the target enterprise has a plurality of precipitation clouds around, the method for determining the moving direction of the precipitation clouds comprises the following steps:
taking the moving direction of the precipitation cloud cluster with the maximum radar echo intensity as a first moving direction, and if the echo intensities of the precipitation cloud clusters are the same, synthesizing the moving directions of the precipitation cloud clusters, and taking the synthesized direction as the first moving direction;
taking the moving direction of the precipitation cloud cluster with the largest area as a second moving direction, and if the areas of the precipitation cloud clusters are the same, synthesizing the moving directions of the precipitation cloud clusters, and taking the synthesized direction as the second moving direction;
and taking the resultant direction of the first direction and the second direction as the final moving direction of the target cloud cluster.
4. The method of claim 1, further comprising calculating the duration of impact of the precipitation cloud on the business based on the distance of the precipitation cloud from the target business and the speed of movement of the precipitation cloud;
and issuing the influence duration at the same time of issuing a rainstorm warning and/or a thunder warning to the target enterprise.
5. The thunderstorm risk early warning method of claim 4, wherein the corresponding thunderstorm early warning level judgment process is performed based on the distance of precipitation cloud, the invasion angle, the radar echo intensity and the precipitation amount around the target enterprise, and comprises the following steps:
if the precipitation cloud cluster is located in the range of 10km of the target enterprise and the precipitation automatic monitoring station is located in the range of 10km of the target enterprise, issuing red risk early warning when the radar echo intensity is larger than or equal to 35dBz and the precipitation is larger than or equal to 5mm, and issuing orange risk early warning when the radar echo intensity is larger than or equal to 35dBz and the precipitation is 1-5 mm;
if the precipitation cloud cluster is located in the range of 10km of the target enterprise and no precipitation automatic detection station exists in the range of 10km of the target enterprise, issuing red risk early warning when the radar echo intensity is more than or equal to 50dBz and the invasion angle is less than 90 degrees, and issuing orange risk early warning when the radar echo intensity is more than or equal to 40dBz and the invasion angle is less than 90 degrees;
if the precipitation cloud cluster is located in a range of 10-20km of the target enterprise, issuing orange risk early warning when the radar echo intensity is more than or equal to 50dBz and the invasion angle is less than 90 degrees, and issuing yellow risk early warning when the radar echo intensity is more than or equal to 40dBz and the invasion angle is less than 90 degrees;
if the precipitation cloud cluster is located in the range of 20-30km of the target enterprise, issuing orange risk early warning when the radar echo intensity is larger than or equal to 50dBz and the invasion angle is smaller than 45 degrees, and issuing yellow risk early warning when the radar echo intensity is larger than or equal to 40dBz and the invasion angle is smaller than 45 degrees.
6. The thunderstorm risk early warning method of claim 5, further comprising performing a thunderstorm warning escalation and warning cancellation judgment process after issuing the corresponding thunderstorm warning to the target enterprise;
the rainstorm early warning upgrading and early warning removal judging process comprises the following steps:
after issuing the red risk warning:
if the precipitation cloud cluster is within 20km circle from the target enterprise and the radar echo intensity is less than 30dBz and lasts for more than 50 minutes, removing the red risk early warning, and if not, continuing to maintain the red risk early warning;
after issuing the orange warning:
if the precipitation cloud cluster enters a 10km circle of the target enterprise and the precipitation amount automatic monitoring station exists in the 10km circle, upgrading to red risk early warning when the radar echo intensity is larger than or equal to 35dBz and the precipitation amount is larger than or equal to 5mm, removing orange risk early warning if the precipitation cloud cluster moves to the target enterprise within 20km circle, the radar echo intensity is smaller than 35dBz and lasts for more than 5 minutes, and otherwise, maintaining orange risk early warning;
if the precipitation cloud cluster enters a 10km circle of the target enterprise and no precipitation amount automatic monitoring station exists in the 10km circle, upgrading to red risk early warning when the radar echo intensity is larger than or equal to 50dBz, removing orange risk early warning if the precipitation cloud cluster moves to a 20km circle of the target enterprise, the radar echo intensity is smaller than 35dBz and lasts for more than 5 minutes, and otherwise, maintaining orange risk early warning;
after yellow risk warning is issued:
if the precipitation cloud cluster enters the target enterprise within 20-30km circle, the radar echo intensity is more than or equal to 50dBz, and the invasion angle is less than 45 degrees, upgrading to orange risk early warning;
if the precipitation cloud cluster enters a 10km circle of the target enterprise and the precipitation amount automatic monitoring station exists in the 10km circle, upgrading to red risk early warning when the radar echo intensity is larger than or equal to 35dBz and the precipitation amount is larger than or equal to 5mm, removing yellow risk early warning when the precipitation cloud cluster moves to the target enterprise within 20km circle, the radar echo intensity is smaller than 30dBz and lasts for more than 5 minutes, and otherwise, maintaining the yellow risk early warning;
and if the precipitation cloud cluster enters a 10km circle of the target enterprise and no precipitation amount automatic monitoring station exists in the 10km circle, upgrading to red risk early warning when the radar echo intensity is more than or equal to 50dBz, removing yellow risk early warning when the precipitation cloud cluster moves to a 20km circle of the target enterprise, the radar echo intensity is less than 30dBz and lasts for more than 5 minutes, and otherwise, maintaining yellow risk early warning.
7. The thunderstorm risk early warning method of claim 1, wherein the corresponding lightning early warning level judgment process is executed based on the distance of precipitation cloud, the invasion angle, the radar echo intensity, the lightning quantity and the atmospheric electric field time-frequency domain mutation quantity around the target enterprise, and comprises the following steps:
if the precipitation cloud cluster is located in a range of 10km of the target enterprise, issuing a red risk early warning when the radar echo strength is more than or equal to 50dBz and the lightning quantity is more than or equal to 6 or the frequency domain break variable is more than or equal to 2 when the lightning quantity is more than or equal to 50dBz and the lightning quantity is less than 6 or 1 and less than or equal to the atmospheric electric field, issuing an orange risk early warning when the radar echo strength is more than or equal to 40dBz and the frequency domain break variable is less than 1 when the lightning quantity is less than 0 or 0.1 and less than the atmospheric electric field;
if the precipitation cloud cluster is located in a range of 10-20km of the target enterprise, issuing orange risk early warning when the radar echo intensity is more than or equal to 45dBz, the intrusion angle is less than 90 degrees and the lightning number is more than or equal to 3, and issuing yellow risk early warning when the radar echo intensity is more than or equal to 40dBz, the intrusion angle is less than 90 degrees and the lightning number is less than 3;
if the precipitation cloud cluster is located in the range of 20-30km of the target enterprise, issuing orange risk early warning when the radar echo intensity is larger than or equal to 40dBz, the intrusion angle is smaller than 45 degrees and the lightning number is larger than or equal to 3, and issuing yellow risk early warning when the radar echo intensity is larger than or equal to 40dBz, the intrusion angle is smaller than 90 degrees and the lightning number is smaller than 3.
8. The thunderstorm risk early warning method of claim 7, further comprising performing a thunderstorm warning escalation and warning cancellation judgment process after issuing the corresponding thunderstorm warning to the target enterprise;
the lightning early warning upgrading and early warning removing judgment process comprises the following steps:
after issuing the red risk warning:
if the precipitation cloud cluster is moved out of the target enterprise within 20-30km circle, the invasion angle is larger than 90 degrees, the lightning quantity is smaller than 0, the radar echo intensity is smaller than 30dBz and lasts for more than 5 minutes, the red risk early warning is removed, and if not, the red risk early warning is continuously maintained;
after issuing the orange warning:
if the precipitation cloud cluster enters 10km circles of the target enterprise, the radar echo intensity is more than or equal to dBz50dBz, and the lightning quantity is more than or equal to 6, upgrading to red risk early warning, if the precipitation cloud cluster moves to 20-30km circles of the target enterprise, the lightning quantity is less than 0, the intrusion angle is more than 90 degrees, the radar echo intensity is less than 30dBz and lasts for more than 5 minutes, removing orange risk early warning, and if the precipitation cloud cluster does not move to 20-30km circles of the target enterprise, maintaining orange risk early warning;
after yellow risk warning is issued:
if precipitation cloud clusters enter 10-km20km circles of the target enterprise, the number of lightning is more than or equal to 3, and the radar echo intensity is more than or equal to dBz40dBz, upgrading to orange risk early warning;
upgrading to red risk early warning if precipitation cloud cluster enters 10km circles of the target enterprise, the number of lightning is more than or equal to 6, and the radar echo intensity is more than or equal to dBz50 dBz;
and if the precipitation cloud cluster moves to the target enterprise within 20-30km circle, the lightning quantity is less than 0, the intrusion angle is more than 90 degrees, the radar echo intensity is less than 30dBz and lasts for more than 5 minutes, removing the yellow risk early warning, otherwise, maintaining the yellow risk early warning.
9. A thunderstorm risk early warning system, characterized by, includes:
the data acquisition module is used for carrying out lattice localization on the observation area and acquiring lattice localization data in the observation area, wherein the lattice localization data comprises the longitude and latitude of each lattice point, and each lattice point can correspond to the position of a target enterprise; acquiring meteorological data in real time through a meteorological observation system, wherein the meteorological data comprise real-time positions of precipitation clouds, radar echo intensity, lightning data and precipitation amount;
the data processing module is used for calculating the distance, the position, the moving direction, the moving speed, the cloud cluster area, the radar echo intensity, the lightning quantity and the atmospheric electric field time-frequency domain mutation quantity of the precipitation cloud cluster around each grid point in real time based on the longitude and latitude of each grid point and the meteorological data; calculating an invasion angle of the precipitation cloud cluster relative to the target enterprise according to the position and the moving direction of the precipitation cloud cluster;
the early warning issuing module is used for executing a corresponding rainstorm early warning grade judging process based on the distance, the invasion angle, the radar echo intensity and the precipitation amount of precipitation cloud clusters around the target enterprise and issuing rainstorm early warning of the corresponding grade to the target enterprise; and executing a corresponding lightning early warning grade judgment process based on the distance, the invasion angle, the radar echo intensity, the lightning quantity and the atmospheric electric field time-frequency domain mutation quantity of the precipitation cloud cluster around the target enterprise, and issuing corresponding grade lightning early warning to the target enterprise.
10. An electronic device, characterized in that the electronic device comprises: at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of thunderstorm risk early warning according to any one of claims 1-8.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116502151A (en) * | 2023-06-29 | 2023-07-28 | 深圳市千百炼科技有限公司 | Meteorological prediction method, system, equipment and medium based on multidimensional meteorological data |
| CN117057610A (en) * | 2023-08-17 | 2023-11-14 | 广东省湛江市气象局 | Region-based multi-industry object global weather risk early warning method and system |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103337133A (en) * | 2013-06-14 | 2013-10-02 | 广东电网公司中山供电局 | System and method for power grid thunderstorm disaster early warning based on recognition and forecast |
| CN109738970A (en) * | 2018-12-07 | 2019-05-10 | 国网江苏省电力有限公司电力科学研究院 | The method, apparatus and storage medium for realizing Lightning Warning are excavated based on lightning data |
| CN110796299A (en) * | 2019-10-23 | 2020-02-14 | 国网电力科学研究院武汉南瑞有限责任公司 | Thunder and lightning prediction method |
| CN114019514A (en) * | 2021-11-25 | 2022-02-08 | 浙江省气象台 | Thunderstorm strong wind early warning method, system, equipment and terminal |
-
2022
- 2022-02-14 CN CN202210134825.7A patent/CN114518612A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103337133A (en) * | 2013-06-14 | 2013-10-02 | 广东电网公司中山供电局 | System and method for power grid thunderstorm disaster early warning based on recognition and forecast |
| CN109738970A (en) * | 2018-12-07 | 2019-05-10 | 国网江苏省电力有限公司电力科学研究院 | The method, apparatus and storage medium for realizing Lightning Warning are excavated based on lightning data |
| CN110796299A (en) * | 2019-10-23 | 2020-02-14 | 国网电力科学研究院武汉南瑞有限责任公司 | Thunder and lightning prediction method |
| CN114019514A (en) * | 2021-11-25 | 2022-02-08 | 浙江省气象台 | Thunderstorm strong wind early warning method, system, equipment and terminal |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116502151A (en) * | 2023-06-29 | 2023-07-28 | 深圳市千百炼科技有限公司 | Meteorological prediction method, system, equipment and medium based on multidimensional meteorological data |
| CN116502151B (en) * | 2023-06-29 | 2023-09-12 | 深圳市千百炼科技有限公司 | Meteorological prediction method, system, equipment and medium based on multidimensional meteorological data |
| CN117057610A (en) * | 2023-08-17 | 2023-11-14 | 广东省湛江市气象局 | Region-based multi-industry object global weather risk early warning method and system |
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