KR101670920B1 - Apparatus for providing heavy rain forecasting and warning and method thereof - Google Patents

Abstract

The present invention relates to a heavy rain forecasting and warning device and a method thereof. The heavy rain forecasting and warning device according to the present invention comprises: a forecasting and warning reference grid storage unit to store a forecasting and warning reference grid wherein reference rainfall to give a heavy rain forecasting and warning to an area corresponding to a grid cell every grid cell for forming rows and column of a grid structure regarding a space range to be a target of the heavy rain forecasting and warning is recorded; a rainfall estimation unit to estimate rainfall based on rainfall data according to observation; a forecast rain grid producing unit to produce a forecast rain grid which records the rainfall estimated by the rainfall estimation unit in the grid cell of the grid structure; an accumulated rain grid producing unit to produce an accumulated rain grid which records accumulated rainfall during a predetermined accumulation time in the grid cell of the grid structure based on the rainfall data according to the observation and the forecast rain grid; and a forecasting and warning grid producing unit to produce a forecasting and warning grid which records a value regarding a heavy rain forecasting and warning step in the grid cell of the grid structure by comparing the accumulation rainfall according to the accumulated rain grid with the reference rainfall according to the forecasting and warning reference grid. Thus, a heavy rain forecasting and warning system is constructed based on the grid structure, and rapid processing is possible by preparing a data processing method in advance.

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an alarm apparatus,

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a rainfall warning apparatus and method, and more particularly, to an apparatus and a method for providing a rainfall warning to prevent damage due to heavy rain by processing and analyzing rainfall data.

As the number of mass damages caused by recent floods has increased, the importance of issuing a heavy rain warning has been emphasized. Accordingly, researches are being carried out in various ways to make judgment of rain warning alarm more quickly and accurately.

At present, it reports heavy rain warning and heavy rain warning based on the rainfall data observed at the spot where the rain gauge is located by the point observation method.

Since the rain gauge is periodically inspected and managed through the test of the authorized institution, relatively accurate rainfall data can be obtained and it is possible to acquire the continuous rainfall data at the point where the ground rain gauge is located have. In reality, however, it is virtually impossible to cover all areas subject to heavy rain alarms, since ground rain gauges are spaced apart from the ground due to spatial problems.

Thus, there is a problem that it is difficult to guarantee the accuracy of the flood warning in areas where the installation point of the terrestrial rain gauges is not sufficiently dense due to the limit of the ground water amount data which is discontinuous in terms of space. For example, small convective rainfall events that occur locally and are difficult to observe through the terrestrial rain gauge are acting as factors that hinder the accuracy and reliability of rainfall warning systems based on rainfall data by point observation methods.

Therefore, if a method that can provide more accurate and rapid rainfall warning by supplementing the conventional technology based on the point observation method is devised, it is expected that human and material damage due to the flood can be minimized.

The present invention has been proposed in order to solve the problems of the conventional rainfall warning system based on the point observation system, and it is an object of the present invention to provide a rainfall warning apparatus and method capable of performing rainfall warning more accurately and quickly .

According to an aspect of the present invention, there is provided a rainfall warning system for providing a rainfall forecasting and warning system, comprising: An example alarm reference grid storage unit for storing an example alarm reference grid in which a reference rainfall amount for issuing a rain warning on an area corresponding to a cell is recorded; A rainfall predicting unit for predicting the rainfall amount based on the rainfall amount data according to the observation; A predictive rainfall lattice generator for generating a predictive rainfall lattice in which the rainfall predicted through the rainfall forecasting unit is recorded in the lattice cell of the lattice structure; A cumulative precipitation grid generator for generating a cumulative precipitation grid in which cumulative rainfall amounts for a cumulative time preset in the grid cells of the grid structure are recorded based on the observed rainfall data and the predicted rainfall grid; And generating an example alarm grid in which a value related to the heavy rain alarm step is recorded in the grid cell of the grid structure by comparing the cumulative rainfall amount according to the cumulative rainfall grid with the reference rainfall amount according to the warning reference grid And a rainfall warning unit, which is characterized in that the rainfall warning unit includes a rainfall warning unit.

Meanwhile, the rainfall estimating unit predicts the rainfall amount based on the rainfall data through the radar observation, and also combines the rainfall amount data through the radar observation and the ground rainfall amount data through the ground observation station to improve the prediction accuracy by estimating the rainfall amount .

In addition, the preliminary alarm reference grid may be provided for each cumulative time and for each heavy rain warning step.

The exemplary alarm grid generator may generate one integrated alarm grid for the plurality of heavy rain alarm phases or may generate the predetermined warning grid for each heavy rain alarm phase.

The system may further include an alarm providing unit for generating alarm information on the basis of the predetermined alarm grid in accordance with a predetermined rainfall alarm area.

At this time, the alarm providing unit may generate the alarm information on the basis of the administrative zone.

A receiving unit for receiving radar observation data in which a radar observation value is defined in a polar coordinate system through a radar volume observation; And a radar observation data processing unit for calculating a rainfall amount at a center point of the grid cell of the grid structure based on the radar observation data.

Here, the radar observation data processing unit may include interpolation information including a radar observation distance corresponding to a center point of the grid cell of the lattice structure, a position of at least one interpolation reference point adjacent to the elevation angle and the azimuth angle, and a weight for the interpolation reference point An interpolation information storage unit for storing the interpolation information; An interpolation unit for performing interpolation for calculating a radar observation value at a center point of the grid cell based on the radar observation value extracted from the radar observation data according to the interpolation information; And a rainfall calculating unit for calculating a rainfall amount based on a radar observation value at a center point of the grid cell through the interpolation performing unit.

Further, the above-mentioned object is also achieved by a method for providing a heavy rain alarm in which each step according to another aspect of the present invention provides a rainfall forecast and an alarm to be performed by a computer, Storing an example alarm reference grid in which a reference rainfall amount for issuing a rain warning alarm is recorded in an area corresponding to a corresponding lattice cell for each grid cell constituting a row and a column of the structure; Estimating a rainfall amount based on the rainfall amount data according to the observation; Generating a predictive rainfall grid in which the rainfall predicted through the rainfall forecasting unit is recorded in the grid cells of the grid structure; Generating a cumulative rainfall lattice in which a cumulative rainfall amount for a predetermined cumulative time is recorded in the lattice cell of the lattice structure based on the observed rainfall amount data and the predicted rainfall lattice; And a step of comparing the cumulative rainfall amount according to the cumulative rainfall lattice with a reference rainfall amount according to the preliminary warning reference lattice to generate a warning warning grid having a value related to the rain warning step in the lattice grid It can also be achieved by an example alarm method.

As described above, according to the present invention, rapid processing can be performed by building a heavy rain warning system based on a lattice structure and providing a data processing plan in advance.

Further, according to the present invention, accuracy and reliability of heavy rain warning are improved even in a heavy rainfall situation locally generated by utilizing radar rainfall.

1 is a block diagram of a heavy rain warning system in accordance with an embodiment of the present invention;
FIG. 2 is a diagram illustrating an example of a storage format of a warning reference grid storage unit according to an embodiment of the present invention; FIG.
3 is an example of information on a grid cell constituting an administrative zone stored in an example alarm providing unit according to an embodiment of the present invention;
4 is a block diagram of a heavy rain warning system in accordance with another embodiment of the present invention;
5 is a block diagram of a radar observation data processing unit according to an embodiment of the present invention;
6 is an example of an interpolation information data table stored in the radar observation data processing unit according to the embodiment of the present invention;
FIG. 7 is a flowchart of a rainfall warning method according to an embodiment of the present invention; FIG.
FIG. 8 is an example of a lattice structure for a rainfall warning target area;
Figure 9 is an example of an example alarm grid generated in accordance with an embodiment of the present invention;
10 is an example of a final example alarm grid generated based on a plurality of example alarm grids; And
11 and 12 show an example of a rainfall warning providing screen.

Hereinafter, specific embodiments of the present invention will be described with reference to the drawings.

The rainfall warning apparatus according to the present invention determines rainfall forecasting and alarm issuance based on observation and forecast rainfall data.

1 is a block diagram of a heavy rain warning system according to a first embodiment of the present invention. 1, the heavy rain alarm system 100 according to the first embodiment of the present invention includes a user interface unit 10, a receiving unit 20, a rainfall amount predicting unit 30, an alarm reference grid storage unit 40 A predicted rain grate generator 50, a cumulative rain grate generator 60, a warning grid generator 70, and a warning alarm generator 80.

The user interface unit 10 receives various inputs from a user and displays various information including input means for inputting information such as a mouse, a keyboard, a button, and a keypad, an input menu, a processing result, And can be implemented as display means.

The receiving unit 20 receives the radar rainfall data and the ground rainfall amount data from the related institution server and the system (not shown).

For reference, the radar rainfall data refers to the data converted to rainfall by various well-known rainfall estimation equations including the ZR relation, which is a relational expression between the radar reflection intensity and the rainfall intensity according to the radar observation, Means rainfall data observed at installed ground stations.

The format of the rainfall data received through the receiver 20 is not limited, and data processed in various formats can be received. As an example of the received data format, in the case of radar rainfall, the RDR_CMP format of the grid structure provided by the meteorological office, and the ground rainfall amount are AWS files.

The rainfall predicting unit 30 predicts the rainfall amount based on the radar rainfall amount data and / or the ground rainfall amount data received through the receiver 20. [

The rainfall amount prediction can be performed by various known prediction methods and is continuously performed according to a preset time interval. On the other hand, the rainfall prediction may be based on radar rainfall data or ground rainfall data, but it is possible to use the rainfall data and the radar rainfall data through a variety of known methods including a successive correction method (SCM) And the prediction accuracy can be improved by predicting the rainfall amount based on the synthesized data.

The example alarm reference grid storage unit 40 stores an example alarm reference grid that provides reference rainfall amount information for issuing a heavy rain warning.

The reference alarm grid is recorded with a reference rainfall amount for issuing a rain alarm to each grid cell of the grid structure provided for the spatial range covered by the heavy rain alarm. At this time, the concrete numerical value of the reference rainfall amount can be determined in consideration of various factors such as the statistical information, the geographical conditions, the facility in the area, and the drainage ability in which the past flood occurred in the area corresponding to the grid cell. For reference, a lattice structure means a data structure in which rows and columns are composed of a plurality of lattice cells.

FIG. 2 schematically shows an example of a storage form of the warning reference grid storage unit 40. FIG.

Flood is generated when a lot of rain falls in a short time. Since the amount of rainfall for a predetermined time is meaningful rather than the total amount of rainfall, the warning alarm reference grid can be provided for each cumulative rainfall hour, Storm surges, storm surges, storm surges, storm surges, storm surges, and storm surges.

In addition, the reference alarm reference grid may store a reference rainfall value for an area corresponding to the corresponding lattice cell for every lattice cell constituting the lattice structure. However, as shown in Fig. 2, It is also possible to store the reference rainfall numerical value only for the representative grid cell that is actually considered.

For example, assuming that a heavy rain alarm is issued in the administrative area unit and a heavy rain alarm is issued based on the amount of rainfall in the grid cell area having the largest area ratio among the grid cells constituting the administrative area, 5 ', which is the reference rainfall amount value for the administrative zone' A ', is stored in the representative grid cell' C1 'having the largest area ratio among the' C1 ',' C2 ' The cell may not store the reference rainfall value.

In addition, it is needless to say that the value is not stored in the grid cell corresponding to the area not subjected to the heavy rain warning announcement, for example, the grid cell corresponding to the sea.

As such, the specific form in which the reference rainfall amount is stored in the warning alarm reference grid can be determined in various forms based on the rainfall warning issuance policy, the issuing unit, and the like.

The predicted rain grate generator 50 generates a predicted rain grate that provides the predicted rainfall information through the rain gater predictor 30. The predicted rainfall grid is recorded with rainfall predicted through the rainfall forecasting unit 30 in each lattice cell having a lattice structure provided for a spatial range to be subjected to heavy rain warning.

The predicted rainfall grid can store the predicted rainfall values in all the grid cells constituting the predicted rainfall grid as well as the warning alarm reference grid. However, the values may be stored only for some grid cells according to the rainfall alarm issuing policy, Of course it is.

The predicted rainfall lattice is generated at predetermined time intervals corresponding to prediction processing according to a predetermined time interval of the rainfall amount predicting unit 30.

The cumulative precipitation grid generator 60 generates the cumulative rainfall data based on the observed rainfall data received through the receiver 20 and the predicted precipitation grid generated at predetermined time intervals through the predicted precipitation grid generator 50 And generates a cumulative rainfall grid that provides information. Here, the cumulative rainfall amount means the amount of rainfall accumulated for a predetermined time up to the reference time point.

For example, when the current time is 5:30 and the rainfall amount data is received by 5:10, the cumulative rainfall amount is calculated based on the current time. Is the cumulative rainfall from 5:00 to 5:30, and the cumulative rainfall value from 5:00 to 5:10 and the predicted rainfall value from 5:10 to 5:30 are calculated do. In this case, the sum of the predicted rainfall values may be calculated by summing the values stored in the predicted rainfall lattice corresponding to 5:10 to 5:30.

The cumulative rainfall is recorded in each grid cell of the grid structure provided for the spatial range to be subjected to the heavy rain warning, and the cumulative rainfall amount for a predetermined cumulative time is recorded. The cumulative rainfall amount is set in advance such as 30 minutes accumulation, 60 minutes accumulation, And cumulative time types, respectively.

Cumulative rainfall grid can be stored only for some grid cells, not all grid cells, depending on the rainfall alarm issuing policy,

The example alarm grid generator 70 generates a warning alarm grid for providing rainfall warning alarm and warning alarm level information by comparing the cumulative rainfall amount according to the cumulative rainfall grid with the reference rainfall amount according to the warning reference grid.

The value of the warning grid is recorded in the area corresponding to each lattice cell of the grid structure provided for the spatial range subject to the heavy rain warning.

When the numerical value of the cumulative precipitation lattice exceeds the numerical value of the preliminary alarm reference lattice by comparing the numerical values stored in each lattice cell of the preliminary alarm reference lattice with the cumulative lattice lattice, Is judged to be the object of a heavy rain warning.

At this time, the numerical value of the corresponding alarm reference grid and the cumulative rainfall grid corresponding to the cumulative cumulative time are compared with each other and compared with the numerical values of the plurality of warning alarm reference grids according to the number of warning alarms. For example, when the cumulative rainfall amount is larger than the reference rainfall amount corresponding to the preliminary warning step 'boundary', but is smaller than the reference rainfall amount corresponding to the preliminary warning step 'danger', the warning grid generation unit 70 generates the warning warning step Can be determined as 'boundary'.

Yes The alarm phase can be determined differently depending on the specific number of steps and the distinction according to the heavy rain alarm policy.

Example The alarm grid is recorded as a specific alarm step value corresponding to the grid cell with '0' for safety, '1' for warning, '2' for boundary, '3' However, it may be possible to divide the alarm grid into '0' and '1', for example, by providing an alarm grid for each alarm step and checking whether it corresponds to each alarm step.

The alarm grid generation unit 70 may be configured to generate a warning alarm based on the magnitude of the difference between the reference rainfall amount and the cumulative rainfall amount, It is possible to generate a warning alarm grid by writing to the cell. For example, when the difference between the reference rainfall amount and the cumulative rainfall amount is very large, a relatively higher warning step may be given. For this purpose, the warning grid generator 70 may store a step-calculation criterion for determining the warning alarm level based on the difference between the reference rainfall amount and the cumulative rainfall amount.

The preliminary alarm providing unit 80 reads the value related to the preliminary alarm step recorded in each grid cell of the preliminary alarm grid and generates the prevailing rain warning information corresponding to the read step according to the predefined heavy rain warning local area unit .

According to this, the preliminary alarm providing unit 80 may generate the preliminary alarm information in units of the lattice cell according to the area unit where the preliminary alarm is issued. However, in the lattice structure for the range of the object of the alarm, Store information about the grid cells constituting the administrative area, and generate heavy rain alarm information in administrative units based on the stored information.

This is because the grid structure is obtained by dividing the spatial range into a plurality of grid cells having a predetermined resolution, and the side for the convenience of data processing is larger. In the case of an administrative region divided into 'city', ' This is because it is considered that there is a substantial meaning to be issued in units.

3 shows an example of information on the grid cells constituting the administrative zone stored in the provisional alarm providing unit 80. [

The example alarm providing unit 80 may store a data table in which rows and columns of grid cells constituting the administrative area are mapped. In the simplest case, the provisional alarm providing unit 80 may represent only the grid cells occupying the largest area in the administrative zone, and may store only the information of the rows and columns of the representative grid cells.

Referring to FIG. 3, the rows and columns of the grid cells constituting the 'east' unit administrative region and the area ratios of the grid cells included in the administrative region are stored together. For example, in the case of the compound semiconductor, the grid cells of 143 rows and 89 columns account for 54.1%, and the grid cells of 144 columns and 89 columns occupy 45.9% of the area.

The preliminary alarm providing unit 80 reads the heavy rain warning level information for the grid cells constituting the administrative zone in the warning grid and generates the heavy rain warning information for the corresponding administrative zone according to a predetermined standard. For example, based on the highest preliminary alarming step among all the grid cells included in the administrative zone, heavy rain warning information of the corresponding administrative zone is generated, or corresponding to the preliminary warning step for the grid cells having the largest area ratio among the grid cells Thereby generating the rain alarm information.

The rain alarm information generated by the alarm providing unit 80 is visually displayed through the user interface unit 10 and provided to the user.

4 is a block diagram of a heavy rain warning system 200 according to a second embodiment of the present invention. Referring to FIG. 4, the heavy rain warning system 200 according to the second embodiment of the present invention includes a user interface unit 210, a receiving unit 220, a radar observation data processing unit 230, a rainfall amount predicting unit 240, A predicted storm lattice generator 260, a cumulative storm lattice generator 270, an alarm grid generator 280, and a warning alarm generator 290. The alarm grid grid storage unit 250, the predicted rainfall grid generator 260, Hereinafter, differences from the above-described embodiments will be avoided and differences will be mainly described.

The receiving unit 220 receives the raw data and the ground rainfall amount data obtained through the radar observation through the related institution server and the system.

That is, the rainfall warning apparatus 100 according to the first embodiment receives the rainfall data according to the radar observation through the receiver 20, but the receiver 220 of the rainfall alarm apparatus 200 according to the second embodiment, There is a difference in that the observation value data according to the radar observation is received instead of the rainfall amount itself.

For reference, the radar observation is a radar beam observation of the distribution of airborne precipitation particles. In general, the azimuth angle is changed while the antenna elevation angle is fixed, Observations are made through volume observations.

As a result, the radar reflectivity values corresponding to the radar observations of the raw data obtained through radar observations are defined in the polar coordinate system with the radar observation distance and azimuth angle at each altitude angle.

The radar observation data processing unit 230 performs a process of calculating the rainfall amount based on the radar observation data including the radar reflection value, and the processing for generating the subsequent rain warning information is based on the rainfall amount . In addition, since processing is performed in units of gratings, it is necessary for the radar observation data processing unit 230 to calculate the amount of rainfall in the region corresponding to the center of the grid cells constituting the grid, based on the radar reflectivity value defined in the polar coordinate system.

5 is a block diagram showing the detailed configuration of the radar observation data processing unit 230. As shown in FIG. Referring to FIG. 5, the radar observation data processing unit 230 includes an interpolation information storage unit 231, an interpolation performing unit 233, and a rainfall amount calculating unit 235.

The interpolation information storage unit 231 interpolates the radar reflectivity values defined in the polar coordinate system to calculate interpolation reference points for obtaining the radar reflectivity values corresponding to the center points of the grid cells of the lattice structure with respect to the spatial range to be subjected to the heavy rain alarm And stores the information about it.

To explain the reason why interpolation is necessary, the radar observation is not performed continuously for all distances, azimuth angles, and elevation angles. Instead, a predetermined range interval (altitude bin), altitude angle and azimuth interval . Therefore, there is no observation value at the point exactly corresponding to the radar observation distance, altitude angle, and azimuth angle of the grid cell center point in the observation value data through the radar observation, so interpolation is performed based on the surrounding observation value, It is necessary to obtain an observation value corresponding to the cell center point.

Here, the interpolation reference point means a point adjacent to the radar observation distance, altitude angle and azimuth corresponding to the center point of the grid cell, and is a selected observation point for performing interpolation of the radar observation value at each grid cell center point.

FIG. 6 shows an example of a data table stored in the interpolation information storage unit 231. FIG.

Referring to FIG. 6, the interpolation information storage unit 231 stores the positions of the interpolation reference points and weights of the interpolation reference points to obtain radar reflectivity values corresponding to the rows and columns of the grid cells, the center points of the grid cells, and the like.

The position of the interpolation reference point is determined by the sweep number S corresponding to the radar observation altitude angle from the radar observation origin in the observation value data defined in the polar coordinate system, the beam number R corresponding to the azimuth, (B) corresponding to the bin number.

The weight (W) of the interpolation reference point means a weight used when reflecting the radar observation value corresponding to each interpolation reference point at the time of interpolation. The weight value can be determined according to the distance from the center of the grid cell or the like. For example, a closer distance would give a larger weight.

Meanwhile, FIG. 6 shows an example of storing information on eight interpolation reference points in order to apply a binary linear interpolation technique utilizing eight interpolation reference points. However, the Nearest interpolation It is sufficient to store only one interpolation reference point position.

As described above, the interpolation information storage unit 231 stores the positions of the interpolation reference points determined according to the preset interpolation method utilizing the fact that the positions of the interpolation reference points are the same when the observation schedule such as the radar installation position, the radar observation interval, And weight information, thereby facilitating rapid interpolation processing.

The interpolation performing unit 233 extracts the radar observation value corresponding to the position of the interpolation reference point from the received radar observation data based on the information stored in the interpolation information storage unit 231, Performs interpolation to calculate radar observations. The interpolation performing unit 233 may perform interpolation using various known interpolation methods.

The rainfall amount calculation unit 235 calculates the rainfall amount based on the radar observation value at the center point of the grid cell through the interpolation performing unit 233. At this time, various known algorithms for estimating the rainfall amount based on the radar observations can be utilized.

The processing after the radar observation data processing unit 230 calculates the amount of rainfall corresponding to the center of the grid cell is the same as that described above in the first embodiment, so the detailed description will be omitted for the sake of simplicity.

As a result, in comparison with the first embodiment in which the rainfall data according to the radar observation is immediately received, the rainfall warning apparatus 200 according to the second embodiment interpolates the radar observations defined in the polar coordinate system, There is a difference in that the process of estimating the rainfall amount is based on the data of the grid structure, and the process thereafter is the same.

However, the radar observation data processing unit 230, which converts the radar observation value into the rainfall amount, is selectively activated only when the radar observation value is received. In the first and second embodiments, It goes without saying that the apparatus 100 according to the embodiment and the apparatus 200 according to the second embodiment may be integrally implemented.

7 is a flowchart of a method of providing a heavy rain alert in accordance with an embodiment of the present invention.

First, a lattice structure S for the spatial range to be subjected to the heavy rain warning as shown in Fig. 8 is provided, and a reference rainfall amount for issuing a heavy rain warning to an area corresponding to the lattice cells constituting the lattice structure It is assumed that the recorded warning reference grid is stored (S10). The alarm reference grid must be generated only once at the beginning, and then updated when the reference rainfall value changes.

Meanwhile, the lattice structure shown in FIG. 8 is used for a predictive rainfall grid, a cumulative rainfall grid, and an alarm grid generated according to the progress of processing. On the other hand, the grid resolution and the grid size can be freely determined according to the spatial range or the like to be subjected to the heavy rain warning.

Then, data according to the observation is received from the related institution server and the system. At this time, in the case of the ground rainfall amount, the rainfall amount data observed at the ground observation station is received. In the case of the radar rainfall amount, the rainfall amount data calculated through the radar observation can be received. However, the radar reflection value itself defined in the polar coordinate system is received (S20).

When the radar reflectivity value defined in the polar coordinate system is received as described above, a radar reflectivity value corresponding to each lattice cell center point of the lattice structure is calculated through interpolation and a rainfall amount is estimated based on the calculated radar reflectivity value (S30, S40) . In this case, when the installation location of the radar and the operation schedule of the radar are determined, the position of the interpolation reference point used in interpolation is fixed, and the position and weight information of the reference point can be stored in advance, Respectively.

Next, in step S50, a rainfall amount is predicted on the basis of radar rainfall data and / or ground rainfall data through various known algorithms in step S50, and a predictive rainfall grid in which predicted rainfall amounts are recorded in each grid cell is generated in step S60. The predicted rainfall grid is continuously generated according to a predetermined time period of the data.

In step S70, a cumulative rainfall grid is recorded in which the cumulative rainfall amount for the cumulative time set in the grid cell is recorded based on the rainfall amount data and the predicted rainfall lattice according to the radar observation and / or the ground observation. The cumulative rainfall lattice may be prepared for each cumulative time type set in advance.

Next, the cumulative rainfall amount according to the cumulative rainfall lattice is compared with the reference rainfall amount according to the preliminary warning reference lattice to generate a warning warning grid in which a value related to the rain warning level is recorded in the lattice cell (S80).

The alarm grid can be generated for each cumulative time corresponding to the types of the warning alarm reference grid and the cumulative rainfall grid. The information about the warning level recorded in the example alarm grid generated for each cumulative time can be integrated To generate a final event alarm grid.

FIG. 9 is an example of an example alarm grid generated in cumulative time, and FIG. 10 is an example of a final alarm grid generated based on a plurality of example alarm grid according to FIG.

Referring to FIG. 9, the example alarm grid shows an example in which a warning alarm grid is generated for each 10, 30, 60, and 180 minute cumulative time, and according to FIG. 10, Example It shows an example of generating the final example alarm grid by taking the highest value among the alarm step values.

For example, in the case of a 6-row L-column grid cell, the 10-minute cumulative time example alarm grid of FIG. 9 has a value of 2 for the preliminary alarm stage, while a value of 0 for the 30-, 60-, and 180- As shown in FIG. 10, it can be seen that the value recorded in the 6 row L column cell of the final event alarm grid is the highest level 2 recorded. As such, the integrated processing of the grid cell values of the plurality of example alarm grids for generating the final case alarm grid is based on a predetermined standard.

Thereafter, in step S90, heavy rain alarm information is generated based on the warning grid, and rain warning alarm information is generated in accordance with the rain warning alarm local area unit such as the grid cell unit or the administrative zone unit. When information is generated in units of administrative zones, a data table in which row / column information of grid cells constituting the administrative zone, area ratios occupied by the grid cells, and the like are mapped and stored can be used. A plurality of grid cells It is possible to generate heavy rain warning information for each administrative area according to predetermined criteria such as taking the highest warning step or following the warning step of the grid cell having the largest area ratio.

The generated rain alarm information can be provided by overlaying the map on the grid structure and visualizing the colors and the like in accordance with the rain alarm step.

11 and 12 show an example of a rainfall warning providing screen.

11 and 12, intuitive understanding of the user can be achieved by displaying different colors in accordance with the warning level according to the warning grid.

In FIG. 11, the map is overlaid on the grid structure and the heavy rain warning information is visualized in units of grid cells. However, as shown in FIG. 12, It is possible to overlay the map and grid structure showing the boundary of the administrative district including the 'old', 'east', etc., and to provide visualization of the rainfall warning information in the administrative district unit.

On the other hand, the above-described steps may be appropriately modified as needed or other steps may be added.

For example, when receiving the observation rainfall amount data of the grid structure in which the rainfall amount is recorded in the grid cell of the grid structure, a process of converting the grid resolution of the received data corresponding to the predetermined grid resolution may be added. At the time of grid resolution conversion, determination of the grid cell value of the converted resolution may be performed through various known algorithms such as a method of utilizing an average value of each grid cell value, a method of taking a maximum value, a minimum value, and an intermediate value.

The above-described heavy rain alarm apparatus and method according to the present invention can rapidly process data by performing processing on a lattice basis and quickly cope with a heavy rainfall by providing a method of quickly processing received data .

On the other hand, by using the radar observational data together, it is expected that it will be possible to detect the small convective rainfall phenomenon which is difficult to observe through the ground observation station by providing the rainfall warning, thereby improving the reliability of the rainfall warning.

The rain warning method according to the embodiment of the present invention may be implemented as a program that can be executed by a computer and may be implemented by various recording media such as a magnetic storage medium, an optical reading medium, and a digital storage medium.

Implementations of the various techniques described herein may be implemented in digital electronic circuitry, or in computer hardware, firmware, software, or combinations thereof. Implementations may be implemented in a computer program product, such as an information carrier, e.g., a machine readable storage device, such as a computer readable storage medium, for example, for processing by a data processing apparatus, Apparatus (computer readable medium) or as a computer program tangibly embodied in a propagation signal. A computer program, such as the computer program (s) described above, may be written in any form of programming language, including compiled or interpreted languages, and may be stored as a stand-alone program or in a module, component, subroutine, As other units suitable for use in the present invention. A computer program may be deployed to be processed on one computer or multiple computers at one site or distributed across multiple sites and interconnected by a communications network.

Processors suitable for processing a computer program include, by way of example, both general purpose and special purpose microprocessors, and any one or more processors of any kind of digital computer. Generally, a processor will receive instructions and data from a read-only memory or a random access memory or both. The elements of a computer may include at least one processor for executing instructions and one or more memory devices for storing instructions and data. Generally, a computer may include one or more mass storage devices for storing data, such as magnetic, magneto-optical disks, or optical disks, or may receive data from them, transmit data to them, . ≪ / RTI > Information carriers suitable for embodying computer program instructions and data include, for example, semiconductor memory devices, for example, magnetic media such as hard disks, floppy disks and magnetic tape, compact disk read only memory A magneto-optical medium such as a floppy disk, an optical disk such as a DVD (Digital Video Disk), a ROM (Read Only Memory), a RAM , Random Access Memory), a flash memory, an EPROM (Erasable Programmable ROM), an EEPROM (Electrically Erasable Programmable ROM), and the like. The processor and memory may be supplemented or included by special purpose logic circuitry.

While the specification contains a number of specific implementation details, it should be understood that they are not to be construed as limitations on the scope of any invention or claim, but rather on the description of features that may be specific to a particular embodiment of a particular invention Should be understood. Certain features described herein in the context of separate embodiments may be implemented in combination in a single embodiment. Conversely, various features described in the context of a single embodiment may also be implemented in multiple embodiments, either individually or in any suitable subcombination. Further, although the features may operate in a particular combination and may be initially described as so claimed, one or more features from the claimed combination may in some cases be excluded from the combination, Or a variant of a subcombination.

Likewise, although the operations are depicted in the drawings in a particular order, it should be understood that such operations must be performed in that particular order or sequential order shown to achieve the desired result, or that all illustrated operations should be performed. In certain cases, multitasking and parallel processing may be advantageous. Also, the separation of the various device components of the above-described embodiments should not be understood as requiring such separation in all embodiments, and the described program components and devices will generally be integrated together into a single software product or packaged into multiple software products It should be understood.

It should be noted that the embodiments of the present invention disclosed in the present specification and drawings are only illustrative of specific examples for the purpose of understanding and are not intended to limit the scope of the present invention. It will be apparent to those skilled in the art that other modifications based on the technical idea of the present invention are possible in addition to the embodiments disclosed herein.

10: user interface unit 20: receiving unit
30: Rainfall estimation unit 40: Yes Alarm reference grid storage unit
50: predictive rainfall grid generator 60: cumulative rainfall generator
70: Yes Alarm Grid Generator 80: Yes Alarm Grinder
100: heavy rain alarm system 200: heavy rain alarm system
210: user interface unit 220:
230: Radar observation data processing unit 240: Rainfall amount predicting unit
250: warning alarm reference grid storage unit 260: predictive rainfall grid generating unit
270: Cumulative rainfall grid generator 280:
290: Yes An alarm remedy

Claims (10)

CLAIMS 1. A heavy rain warning system for providing heavy rain forecasting and warning,
For example, statistical information, geographical conditions, in-area facilities, and drainage capacity in which past floods occurred in the area corresponding to the corresponding lattice cell for each grid cell constituting the row and column of the grid structure for the spatial range subject to heavy rain alarm An example alarm reference grid storage unit for storing a reference alarm reference grid in which a reference rainfall amount for issuing a rainfall warning determined for each grid cell is recorded;
A rainfall predicting unit for predicting the rainfall amount based on the rainfall amount data according to the observation;
A predictive rainfall lattice generator for generating a predictive rainfall lattice in which the rainfall predicted through the rainfall forecasting unit is recorded in the lattice cell of the lattice structure;
A cumulative rainfall amount of the cumulative rainfall amount accumulated in the grid cells of the lattice structure for a predetermined cumulative time is calculated by summing the rainfall amount according to the observed observations up to the time point and the lattice cell value stored in the predicted rainfall lattice predicted from the one time point, A cumulative rain grate generating unit for generating a cumulative rain grate; And
An alarm grid generator for generating an alarm grid in which a value related to the heavy rain alarm step is recorded in the grid cell of the grid structure by comparing the cumulative rainfall amount according to the cumulative rainfall grid with the reference rainfall amount based on the warning reference grid, Wherein the rainfall warning device comprises:
The method according to claim 1,
The rainfall estimator may include:
And the rainfall amount is predicted based on the rainfall amount data through the radar observation.
The method according to claim 1,
The rainfall estimator may include:
Wherein rainfall data is obtained by combining rainfall data from a radar observation and surface rainfall data through a ground station.
The method according to claim 1,
Wherein the preliminary alarm reference grid is provided for each cumulative time and for each of the pre-alarm periods.
The method according to claim 1,
The alarm grid generation unit may generate,
Wherein said one alarm grid is integrated for one or more of said plurality of heavy rain alarm phases or said emergency alarm grid is generated for each of said heavy rain alarm phases.
The method according to claim 1,
Further comprising a warning alarming unit for generating rain warning alarm information according to a predetermined rainfall warning area area based on the warning grid.
The method according to claim 6,
The warning alarm providing unit,
And generates said heavy rain alarm information in units of administrative zones.
The method according to claim 1,
A receiver for receiving radar observation data in which radar observations are defined in a polar coordinate system through radar volume observations; And
And a radar observation data processing unit for calculating a rainfall amount at a center point of the grid cell of the grid structure on the basis of the radar observation data.
9. The method of claim 8,
Wherein the radar observation data processing unit comprises:
An interpolation information storage unit for storing interpolation information including a radar observation distance corresponding to a center point of the grid cell of the grid structure, an altitude angle, a position of at least one interpolation reference point adjacent to the azimuth angle, and a weight for the interpolation reference point;
An interpolation unit for performing interpolation for calculating a radar observation value at a center point of the grid cell based on the radar observation value extracted from the radar observation data according to the interpolation information; And
And a rainfall calculation unit for calculating a rainfall amount based on a radar observation value at a center point of the grid cell through the interpolation performing unit.
1. A heavy rain warning method in which each step provides rainfall forecasts and alarms to be performed by a computer,
For example, statistical information, geographical conditions, in-area facilities, and drainage capacity in which past floods occurred in the area corresponding to the corresponding lattice cell for each grid cell constituting the row and column of the grid structure for the spatial range subject to heavy rain alarm Storing a reference alarm reference grid in which a reference rainfall amount for issuing a rain alarm to be determined for each grid cell is recorded;
Estimating a rainfall amount based on the rainfall amount data according to the observation;
Generating a predictive rainfall grid in which the predicted rainfall amount is recorded in the grid cells of the grid structure;
A cumulative rainfall amount of the cumulative rainfall amount accumulated in the grid cells of the lattice structure for a predetermined cumulative time is calculated by summing the rainfall amount according to the observed observations up to the time point and the lattice cell value stored in the predicted rainfall lattice predicted from the one time point, ≪ / RTI > And
And comparing the cumulative rainfall according to the cumulative rainfall lattice with a reference rainfall according to the preliminary alarm reference lattice to generate a warning alarm grid in which a value related to the rain warning step is recorded in the lattice cell of the lattice structure Features a heavy rain alarm method.

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