A method, device, electronic device and storage medium for determining rainstorm type

Abstract

The present invention provides a method, device, electronic device and storage medium for determining a rainstorm type, and belongs to the technical field of rain type identification. A method for determining a rainstorm type of the present invention can clarify the coverage of the meteorological station on the geological disaster sensitive area by collecting historical rainfall data of at least one meteorological station in the target area and dividing the target area into sub-areas according to the sensitivity of geological disasters, and calculate the precipitation time series characteristics of the sub-area not covered by the meteorological station by analyzing the historical precipitation data of the meteorological station and combining the precipitation cloud map information of the target area, and construct the rainstorm type of each sub-area, so as to obtain the accurate rainstorm type of the geological disaster sensitive area not covered by the meteorological station, thereby providing a more accurate basis for the prevention of geological disasters.

Description

Technical Field

[0001] The present invention relates to the technical field of rain type recognition, and in particular to a method, device, electronic device and storage medium for determining a rainstorm type. Background Art

[0002] Heavy rain disasters can easily cause geological disasters such as landslides and mud-rock flows, and rainfall characteristics have an important impact on the risk of heavy rain disasters. The amount, duration and intensity of heavy rain will directly affect the consequences of the disaster. Long-term heavy rainfall may cause disasters such as mud-rock flows and landslides, while short-term heavy rainfall can easily cause problems such as river valley floods. Heavy rain pattern refers to the distribution process of rainfall in different durations, that is, the curve of the change of heavy rain intensity over time. The design of heavy rain pattern is the basis of geological disaster simulation and directly affects the formulation of geological disaster emergency response plans.

[0003] Large cities usually have dense weather stations that can collect comprehensive precipitation data for the entire area. However, for some remote wilderness areas, the distribution density of weather stations is not high, and these areas are also high-risk areas for geological disasters. Once areas that are sensitive to geological disasters such as landslides and mudslides are not covered by weather stations, it will be difficult to accurately determine the rainstorm patterns in these areas, and thus it will be impossible to provide a more accurate basis for the prevention of geological disasters. Summary of the invention

[0004] The present invention provides a method, device, electronic device and storage medium for determining a rainstorm type, which are used to solve the defect that the rainstorm type in remote areas in the prior art is not accurate enough, and achieve the effect of obtaining accurate rainstorm types in geological disaster sensitive areas not covered by meteorological stations.

[0005] The present invention provides a method for determining a rainstorm type, comprising:

[0006] Collecting historical rainfall data of at least one weather station in the target area, wherein the historical rainfall data includes rainfall amount and duration;

[0007] Divide the target area into regions according to the sensitivity of geological disasters to obtain sensitive sub-regions whose sensitivity of geological disasters is higher than a preset sensitivity;

[0008] Based on the rainfall data coverage of the meteorological station and the location of the meteorological station, determine the effective sub-areas covered by the meteorological station and the uncovered sub-areas not covered by the meteorological station in each sensitive sub-area in the target area;

[0009] Analyze the historical precipitation data of the meteorological station to determine the precipitation time series characteristics of the effective sub-area;

[0010] Based on the precipitation time series characteristics corresponding to the meteorological station and the precipitation cloud map information of the target area, the precipitation time series characteristics of the uncovered sub-area are calculated, and the rainstorm type of each sensitive sub-area is constructed.

[0011] According to a method for determining a rainstorm type provided by the present invention, when there are more than two meteorological stations in the target area and the precipitation time series characteristics corresponding to the meteorological stations are not completely the same, the precipitation time series characteristics of the uncovered sub-area are calculated based on the precipitation time series characteristics corresponding to the meteorological stations and the precipitation cloud map information of the target area, including:

[0012] Based on the precipitation time series characteristics corresponding to each meteorological station, the coincidence rate of rainfall events at each meteorological station is determined;

[0013] When the coincidence rate of rainfall events at each meteorological station is greater than a first threshold, determining the coincidence duration of rainstorm events at each meteorological station within the target period;

[0014] When the overlap duration of the rainstorm events at each weather station is greater than the second threshold, determining the precipitation influence constant based on the precipitation time series characteristics corresponding to the weather station;

[0015] Based on the precipitation impact constant and the radar echo intensity in the precipitation cloud image information of the target area, the precipitation time series characteristics of the uncovered sub-area are calculated.

[0016] According to a method for determining a rainstorm type provided by the present invention, when there are more than two meteorological stations in the target area and the precipitation time series characteristics corresponding to the meteorological stations are exactly the same, the precipitation time series characteristics of the uncovered sub-area are calculated based on the precipitation time series characteristics corresponding to the meteorological stations and the precipitation cloud map information of the target area, including:

[0017] Based on the radar echo intensity in the precipitation cloud image information of the target area, the precipitation time series characteristics of the uncovered sub-area are calculated according to the precipitation time series characteristics corresponding to the meteorological station.

[0018] According to a method for determining a rainstorm type provided by the present invention, the precipitation time series characteristics of the uncovered sub-area include the precipitation in each unit time period, and the precipitation R in the unit time period is determined by the following formula:

[0019] Z = a·R b ;

[0020] Among them, Z represents the radar echo intensity in the precipitation cloud image information, and a and b are precipitation influence constants.

[0021] According to a method for determining a rainstorm type provided by the present invention, the historical precipitation data of a meteorological station is analyzed to determine the precipitation time series characteristics of an effective sub-area, including:

[0022] Align the historical precipitation data of the weather stations by time and generate precipitation time series according to time;

[0023] According to the set threshold, the periods of the identified rainfall events and rainstorm events are marked to obtain the precipitation time series characteristics of the effective sub-area.

[0024] According to a method for determining a rainstorm type provided by the present invention, constructing a rainstorm type for each sensitive sub-area includes:

[0025] Normalize the rainfall events in the precipitation time series characteristics of each sensitive sub-region, and standardize the time axis and rainfall axis;

[0026] Count the rainfall peaks of each rainfall event and determine the peak positions on the time axis;

[0027] According to the normalized rainfall time series data and the peak position of rainfall events in each sensitive sub-region, the rainstorm pattern representing each sensitive sub-region is fitted.

[0028] According to a method for determining a rainstorm type provided by the present invention, the target area is divided into regions according to the sensitivity of geological disasters to obtain sensitive sub-regions whose sensitivity of geological disasters is higher than a preset sensitivity, including:

[0029] Dividing the target area into a plurality of location grids;

[0030] Collecting geological disaster sensitivity factors of each location grid under the target area;

[0031] The geological hazard sensitivity factors of each location are added according to the weights to obtain the geological hazard sensitivity of each location grid;

[0032] The location grids whose geological disaster sensitivity is higher than the preset sensitivity are determined as the sensitive sub-areas.

[0033] The present invention also provides a device for determining a rainstorm type, comprising:

[0034] A collection module, used to collect historical rainfall data of at least one meteorological station in the target area, wherein the historical rainfall data includes rainfall amount and duration;

[0035] A first partitioning module is used to divide the target area into regions according to the sensitivity of geological disasters to obtain sensitive sub-regions whose sensitivity of geological disasters is higher than a preset sensitivity;

[0036] A second partitioning module is used to determine the effective sub-areas covered by the meteorological station and the uncovered sub-areas not covered by the meteorological station in each sensitive sub-area in the target area based on the rainfall data coverage of the meteorological station and the location of the meteorological station;

[0037] The precipitation analysis module is used to analyze the historical precipitation data of the meteorological station and determine the precipitation time series characteristics of the effective sub-area;

[0038] The processing module is used to calculate the precipitation time series characteristics of the uncovered sub-area based on the precipitation time series characteristics corresponding to the meteorological station and the precipitation cloud map information of the target area, and construct the heavy rain type of each sensitive sub-area.

[0039] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, any of the above-mentioned methods for determining a rainstorm type is implemented.

[0040] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the method for determining a rainstorm type as described in any one of the above is implemented.

[0041] The present invention also provides a computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the method for determining a rainstorm type as described above is implemented.

[0042] The present invention provides a method, device, electronic device and storage medium for determining a rainstorm type. By collecting historical rainfall data of at least one meteorological station in a target area and dividing the target area into sub-areas according to the sensitivity of geological disasters, the coverage of the meteorological station over the geological disaster sensitive area can be clarified. The historical precipitation data of the meteorological station is analyzed, and the precipitation time series characteristics obtained by combining the precipitation cloud map information of the target area are used to calculate the precipitation time series characteristics of the sub-areas not covered by the meteorological station, and the rainstorm type of each sub-area is constructed. The accurate rainstorm type of the geological disaster sensitive area not covered by the meteorological station can be obtained, thereby providing a more accurate basis for the prevention of geological disasters. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0044] Figure 1 This is one of the flow charts of a method for determining a rainstorm type provided by the present invention;

[0045] Figure 2 This is a second flow chart of a method for determining a rainstorm type provided by the present invention;

[0046] Figure 3 It is a structural schematic diagram of a device for determining a rainstorm type provided by the present invention;

[0047] Figure 4 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0048] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0049] Combine the following Figure 1-Figure 4 A method, device, electronic device and storage medium for determining a rainstorm type of the present invention are described.

[0050] like Figure 1 As shown, a method for determining a rainstorm type according to an embodiment of the present invention mainly includes step 110, step 120, step 130, step 140 and step 150.

[0051] Step 110, collecting historical rainfall data of at least one weather station in the target area.

[0052] Historical rainfall data includes rainfall amount and duration. Collecting historical rainfall data of the target area mainly refers to obtaining the rainfall conditions of the target area in the past period of time.

[0053] Precipitation is the total amount of precipitation that falls on the ground in a given period of time, usually expressed in millimeters. Precipitation can reflect the intensity and frequency of rainfall. Duration is the length of time a rainfall event lasts, usually expressed in hours or minutes. For example, a rainfall event may last for 2 hours and produce 10 millimeters of rainfall.

[0054] The location of at least one weather station in the area can be determined, and data information of the relevant weather station can be found using a database provided by the National Weather Service or a local weather service.

[0055] Step 120, dividing the target area into regions according to the geological disaster sensitivity, and obtaining sensitive sub-regions whose geological disaster sensitivity is higher than the preset sensitivity.

[0056] Geological hazard sensitivity refers to the susceptibility of a region to geological hazards such as landslides, debris flows, collapses, etc. Geological hazard sensitivity is usually affected by many factors, including geological structure, topography, soil type, rainfall, vegetation cover, and human activities.

[0057] The preset sensitivity is a benchmark value or threshold used to distinguish areas with different sensitivities. Areas above this value are considered "sensitive sub-areas", which means that these areas have a higher risk of geological disasters under certain conditions and require more accurate rainstorm patterns.

[0058] In some embodiments, dividing the target area into regions according to the sensitivity of geological hazards to obtain sensitive sub-regions whose sensitivity of geological hazards is higher than a preset sensitivity includes the following process.

[0059] The target area can be divided into multiple location grids first; then the geological hazard sensitivity factors of each location grid under the target area are collected; the geological hazard sensitivity factors of each location grid are added according to the weights to obtain the geological hazard sensitivity of each location grid; finally, the location grid with geological hazard sensitivity higher than the preset sensitivity is determined as a sensitive sub-area.

[0060] In other words, the target area of ​​the study can be divided into several small grids. For example, each grid is 1km² or smaller. This allows for a more detailed analysis of the sensitivity of geological hazards at different locations. Each grid represents a geographical location, which facilitates subsequent data collection and analysis.

[0061] For each grid, relevant geological hazard sensitivity factors can be collected. The collected sensitivity factors are weighted. Each factor is assigned a weight according to its impact on geological hazards. For example, the weight of rainfall may be higher than the weight of the slope of the terrain, because rainfall is usually the main cause of landslides. On this basis, the values ​​of each sensitive factor are multiplied by their corresponding weights and then added together to obtain the comprehensive sensitivity index of each grid.

[0062] Geological hazard sensitive factors are factors that affect the sensitivity of geological hazards. Geological hazard sensitive factors include geological structure, topography, soil type, rainfall, vegetation cover and human activities.

[0063] According to the calculated geological disaster sensitivity, a preset sensitivity threshold is set. For example, if the preset sensitivity is 0.75, all grids with a sensitivity higher than 0.75 are identified as "sensitive sub-areas". These grids identified as sensitive sub-areas are areas with relatively high risk of geological disasters, and special attention should be paid to the accuracy of the rainstorm pattern.

[0064] Step 130, based on the rainfall data coverage of the meteorological station and the location of the meteorological station, determine the effective sub-areas covered by the meteorological station and the uncovered sub-areas not covered by the meteorological station in each sensitive sub-area in the target area.

[0065] First, you need to know the specific locations of weather stations and the range they cover. The coverage area can be an area within a certain radius of the weather station, which is usually determined by the terrain and the technical characteristics of the weather station. For example, a weather station may only be able to effectively monitor rainfall within 5 kilometers around it.

[0066] After identifying the sensitive sub-areas, the next step is to compare these sub-areas with the coverage of the weather stations. Based on the previous sensitivity analysis results, mark all sensitive sub-areas. Overlay the coverage of the weather stations on the map of sensitive sub-areas to see which sensitive sub-areas are within the coverage.

[0067] Based on the superposition results, sensitive sub-areas are classified into valid sub-areas and uncovered sub-areas. Valid sub-areas are located within the coverage of at least one meteorological station. Valid sub-areas can receive rainfall data provided by meteorological stations, thus supporting more accurate risk assessment and decision-making. Uncovered sub-areas are located outside the coverage of meteorological stations and cannot obtain rainfall data through meteorological stations. Therefore, other methods or data sources may be needed when assessing the risks of these areas.

[0068] Step 140, analyzing the historical precipitation data of the meteorological station to determine the precipitation time series characteristics of the effective sub-area.

[0069] To analyze the historical precipitation data of the weather station to determine the precipitation time series characteristics of the effective sub-area, first collect and clean the precipitation data to ensure its integrity. Then, calculate the statistical characteristics by summarizing the precipitation by time, such as month and season, and perform time series analysis to identify trends and seasonality. Next, use visualization tools to display the results, and finally interpret the precipitation pattern to support risk management and decision-making.

[0070] In some embodiments, historical precipitation data of a meteorological station is analyzed to determine precipitation time series characteristics of a valid sub-area, including: aligning historical precipitation data of the meteorological station by time and generating a precipitation time series by time; marking the time periods of identified rainfall events and rainstorm events according to a set threshold value to obtain precipitation time series characteristics of the valid sub-area.

[0071] The precipitation data from different weather stations can be normalized by time to ensure that the data from each station can be compared on the same time axis. After aligning the data, a complete precipitation time series is generated in chronological order to facilitate subsequent analysis. This series will contain the precipitation at each time point, forming a continuous precipitation record.

[0072] Depending on the purpose of the study, set the thresholds for rainfall and heavy rain. For example, rainfall may be defined as precipitation exceeding 1 mm, while heavy rain may be defined as precipitation exceeding 50 mm.

[0073] Using the set threshold, eligible rainfall events are identified from the precipitation time series, and the time periods of these events are marked. That is, in the time series, there will be specific time points or time periods marked as the moments when rainfall or rainstorms occur.

[0074] Finally, through the above steps, the precipitation time series characteristics of the effective sub-area are obtained. These characteristics can include the frequency, intensity, duration, etc. of precipitation, which can help analyze the precipitation pattern and change trend of the area.

[0075] Step 150, based on the precipitation time series characteristics corresponding to the meteorological station and the precipitation cloud map information of the target area, the precipitation time series characteristics of the uncovered sub-area are calculated, and the heavy rain type of each sensitive sub-area is constructed.

[0076] Using the precipitation data collected by the meteorological station, we analyze the precipitation time series characteristics of the covered area. Then, by analyzing the precipitation cloud map of the target area, we can obtain the spatial distribution of precipitation, which helps us understand the distribution of precipitation in different areas.

[0077] By using the precipitation time series characteristics and precipitation cloud map information of the covered area, the precipitation characteristics of the uncovered sub-area are inferred in a certain way.

[0078] After obtaining the precipitation time series characteristics of the uncovered sub-area, the rainstorm type of the area is constructed based on these characteristics, and then the change pattern of precipitation intensity on the time scale is organized into a curve to reflect the changing characteristics of precipitation during the rainstorm. This process combines existing meteorological data with spatial precipitation information through data analysis and model construction to infer and describe the precipitation characteristics and potential impacts of the uncovered area.

[0079] According to a method for determining a rainstorm type provided by an embodiment of the present invention, by collecting historical rainfall data of at least one meteorological station in a target area and dividing the target area into sub-areas according to the sensitivity to geological disasters, the coverage of the meteorological station over the geological disaster sensitive area can be clarified, and by analyzing the historical precipitation data of the meteorological station and combining the precipitation time series characteristics obtained from the precipitation cloud map information of the target area, the precipitation time series characteristics of the sub-areas not covered by the meteorological station are calculated, and the rainstorm type of each sub-area is constructed, so that the accurate rainstorm type of the geological disaster sensitive area not covered by the meteorological station can be obtained, thereby providing a more accurate basis for the prevention of geological disasters.

[0080] In some embodiments, Figure 2As shown, when there are more than two meteorological stations in the target area and the precipitation time series characteristics corresponding to the meteorological stations are not exactly the same, the precipitation time series characteristics of the uncovered sub-area are calculated based on the precipitation time series characteristics corresponding to the meteorological stations and the precipitation cloud map information of the target area, which mainly includes steps 210, 220, 230 and 240.

[0081] Step 210, determining the coincidence rate of rainfall events at each weather station based on the precipitation time series characteristics corresponding to each weather station;

[0082] Step 220, when the coincidence rate of rainfall events at each weather station is greater than a first threshold, determining the coincidence duration of rainstorm events at each weather station within the target period;

[0083] Step 230, when the overlap duration of the rainstorm events at each weather station is greater than the second threshold, determining the precipitation influence constant based on the precipitation time series characteristics corresponding to the weather station;

[0084] Step 240, based on the precipitation impact constant and the radar echo intensity in the precipitation cloud image information of the target area, the precipitation time series characteristics of the uncovered sub-area are calculated.

[0085] The coincidence rate of rainfall events refers to the similarity of rainfall events recorded by multiple weather stations in the same time period. For example, if two weather stations both record rainfall events in a certain period of time, the rainfall events of these two weather stations overlap.

[0086] By comparing the precipitation data from each weather station, calculating the number of rainfall events in the same time period, and then finding the overlap rate, we can understand the consistency of precipitation between different weather stations, which helps to determine which areas have similar precipitation conditions, thus providing a basis for subsequent analysis.

[0087] When the overlap rate is greater than the first threshold, the overlap duration of the rainstorm event refers to the overlap duration of the rainstorm events recorded by multiple stations in the same time period.

[0088] By setting a first threshold, it is determined whether the overlap rate of rainfall events is high enough to ensure that the next step of analysis is only carried out when the precipitation conditions are similar. The rainstorm event records of each meteorological station are compared, and the overlap of their duration in the same time period is calculated. Only when the overlap duration is high, it is considered that the rainfall events and rainstorm events monitored by different meteorological stations in the target area are correlated with each other, so that the areas in the target area that are not covered by the meteorological station can also use the precipitation time series characteristics of the effective sub-areas covered by the meteorological station to construct the precipitation time series characteristics of the uncovered sub-areas.

[0089] The precipitation impact constant is a parameter used to quantify the impact of precipitation on the uncovered sub-area, which may be related to precipitation amount, duration or overlap. The precipitation impact constant is calculated only when the overlap duration of the rainstorm event is greater than the second threshold, which ensures the validity and reliability of this constant.

[0090] The specific calculation method of the precipitation impact constant may involve the precipitation time series characteristics of known meteorological stations, such as the comprehensive consideration of parameters such as the average intensity and frequency of overlapping precipitation events.

[0091] Finally, the precipitation impact constant and the radar echo intensity in the precipitation cloud image information of the target area can be used to infer the precipitation time series characteristics of the uncovered sub-area.

[0092] Radar echo intensity data usually comes from meteorological radars, which reflects the intensity and location of precipitation clouds and can be used as an important basis for estimating precipitation. By applying the precipitation influence constant to the radar echo intensity, the precipitation time series characteristics of the uncovered sub-areas are calculated to fill the data gap.

[0093] In some embodiments, the precipitation time series characteristics of the uncovered sub-area include the precipitation amount in each unit time period, and the precipitation amount R in the unit time period is determined by the following formula:

[0094] Z = a·R b ;

[0095] Among them, Z represents the radar echo intensity in the precipitation cloud image information, and a and b are precipitation influence constants.

[0096] a usually represents a scale factor, which may be related to the units of measurement or other meteorological conditions.

[0097] b is an index that reflects the relationship between precipitation and radar echo intensity. This value can be used to adjust the response of precipitation to radar signals, indicating the degree of influence of increased precipitation on radar echo intensity.

[0098] Radar detects precipitation by sending and receiving electromagnetic waves. Precipitation droplets scatter radar signals and reflect back to the radar receiver, forming an echo. The relationship between the radar echo intensity Z and the precipitation amount R is usually nonlinear. That is, as the precipitation amount increases, the radar echo intensity increases faster.

[0099] Through the known radar echo intensity Z and the determined constants a and b, the precipitation R per unit time period can be calculated in reverse. This reverse calculation helps to estimate precipitation in areas without direct observation, especially when meteorological station data is missing or not dense enough.

[0100] In some embodiments, when there are more than two meteorological stations in the target area and the precipitation timing characteristics corresponding to each meteorological station are exactly the same, the precipitation timing characteristics of the uncovered sub-area are calculated based on the precipitation timing characteristics corresponding to the meteorological stations and the precipitation cloud map information of the target area, including: based on the radar echo intensity in the precipitation cloud map information of the target area, the precipitation timing characteristics of the uncovered sub-area are calculated according to the precipitation timing characteristics corresponding to the meteorological stations.

[0101] It is understandable that in this case, it can be directly considered that the rainfall events and rainstorm events monitored by different meteorological stations in the target area are correlated with each other. Then, the radar echo intensity in the precipitation cloud image information of the target area can be directly correlated with the precipitation time series characteristics, and then the precipitation time series characteristics of the uncovered sub-area can be calculated according to the precipitation time series characteristics corresponding to the meteorological station.

[0102] In this case, the values ​​of a and b can be confirmed directly based on experience, without setting special values ​​to take into account the monitoring data of the weather station.

[0103] In some embodiments, constructing a rainstorm pattern for each sensitive sub-area includes the following process.

[0104] The rainfall events in the precipitation time series characteristics of each sensitive sub-region can be normalized, and the time axis and rainfall axis can be standardized. Then the rainfall peak of each rainfall event is counted, and the peak position on the time axis is determined; then, based on the normalized rainfall time series data and the peak position of the rainfall events in each sensitive sub-region, the rainstorm type representing each sensitive sub-region is fitted.

[0105] It can be understood that the normalization process can make the data between different rainfall events comparable and eliminate the impact caused by the differences in time and rainfall between different rainfall events.

[0106] Timeline normalization adjusts the times of different rainfall events so that they can be compared within the same time frame. For example, the start time of an event can be set to 0 so that the time series of different rainfall events can be compared within a common time period.

[0107] On this basis, the rainfall is normalized, for example, by converting the rainfall into a proportion or z-score, which is to subtract the mean and then divide it by the standard deviation, so that the rainfall values ​​of different rainfall events are in the same range, so that the size of the rainfall no longer affects the comparison results, and its relative changes are highlighted.

[0108] Statistical rainfall peaks are used to identify the moment of the heaviest rainfall in each rainfall event, so as to analyze the characteristics of the rainstorm event and record the specific time point when the peak occurs. This information is crucial for subsequent analysis and model fitting.

[0109] Based on the processed data, a model that can represent the rainfall characteristics of each sensitive sub-region is constructed to facilitate further analysis and application.

[0110] In this embodiment, the normalized data of rainfall events are used as the basis, which ensures that the fitted model reflects the overall characteristics of each event rather than the particularity of an individual event. By combining the normalized rainfall time series data with the peak position, a mathematical model that can represent the characteristics of heavy rain in the sensitive sub-area can be fitted more accurately.

[0111] By constructing a rainstorm type, future rainfall events can be predicted more accurately, which has important guiding significance in flood prevention and disaster prevention. Different sensitive sub-regions may have different rainfall characteristics. Constructing a rainstorm type can help study the rainfall patterns and their changing trends in these regions. Meteorological departments and relevant institutions can use these rainstorm types to formulate corresponding geological disaster response strategies and reduce the losses that may be caused by rainstorms.

[0112] A rainstorm type determination device provided by the present invention is described below. The rainstorm type determination device described below and the rainstorm type determination method described above can refer to each other.

[0113] like Figure 3 As shown, the rainstorm type determination device of the embodiment of the present invention mainly includes a collection module 310, a first partitioning module 320, a second partitioning module 330, a precipitation analysis module 340 and a processing module 350.

[0114] The collection module 310 is used to collect historical rainfall data of at least one weather station in the target area, where the historical rainfall data includes rainfall amount and duration;

[0115] The first partitioning module 320 is used to divide the target area into regions according to the geological disaster sensitivity, and obtain sensitive sub-regions whose geological disaster sensitivity is higher than the preset sensitivity;

[0116] The second partitioning module 330 is used to determine the effective sub-areas covered by the meteorological station and the uncovered sub-areas not covered by the meteorological station in each sensitive sub-area in the target area based on the rainfall data coverage of the meteorological station and the location of the meteorological station;

[0117] The precipitation analysis module 340 is used to analyze the historical precipitation data of the meteorological station and determine the precipitation time series characteristics of the effective sub-area;

[0118] The processing module 350 is used to calculate the precipitation time series characteristics of the uncovered sub-area based on the precipitation time series characteristics corresponding to the meteorological station and the precipitation cloud map information of the target area, and construct the heavy rain type of each sensitive sub-area.

[0119] According to a device for determining a rainstorm type provided by an embodiment of the present invention, by collecting historical rainfall data of at least one meteorological station in a target area and dividing the target area into sub-areas according to the sensitivity to geological disasters, the coverage of the meteorological station over the area sensitive to geological disasters can be clarified, and by analyzing the historical precipitation data of the meteorological station and combining the precipitation time series characteristics obtained from the precipitation cloud map information of the target area, the precipitation time series characteristics of the sub-areas not covered by the meteorological station are calculated, and the rainstorm type of each sub-area is constructed, so that the accurate rainstorm type of the geological disaster sensitive area not covered by the meteorological station can be obtained, thereby providing a more accurate basis for the prevention of geological disasters.

[0120] Figure 4 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 4 As shown, the electronic device may include: a processor 410, a communication interface 420, a memory 430 and a communication bus 440, wherein the processor 410, the communication interface 420 and the memory 430 communicate with each other through the communication bus 440. The processor 410 may call the logic instructions in the memory 430 to execute the rainstorm type determination method, which includes: collecting historical rainfall data of at least one meteorological station in the target area, the historical rainfall data including rainfall amount and duration; dividing the target area according to the sensitivity of geological disasters to obtain sensitive sub-areas with higher sensitivity than the preset sensitivity; determining the effective sub-areas covered by the meteorological station and the uncovered sub-areas not covered by the meteorological station in each sensitive sub-area in the target area based on the rainfall data coverage of the meteorological station and the location of the meteorological station; analyzing the historical precipitation data of the meteorological station to determine the precipitation time series characteristics of the effective sub-areas; calculating the precipitation time series characteristics of the uncovered sub-areas based on the precipitation time series characteristics corresponding to the meteorological station and the precipitation cloud map information of the target area, and constructing the rainstorm type of each sensitive sub-area.

[0121] In addition, the logic instructions in the above-mentioned memory 430 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0122] On the other hand, the present invention also provides a computer program product, which includes a computer program, which can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the rainstorm type determination method provided by the above methods, which method includes: collecting historical rainfall data of at least one meteorological station in the target area, the historical rainfall data including rainfall amount and duration; dividing the target area according to the sensitivity of geological disasters to obtain sensitive sub-areas with geological disaster sensitivity higher than the preset sensitivity; based on the rainfall data coverage of the meteorological station and the location of the meteorological station, determining the effective sub-areas covered by the meteorological station and the uncovered sub-areas not covered by the meteorological station in each sensitive sub-area in the target area; analyzing the historical precipitation data of the meteorological station to determine the precipitation time series characteristics of the effective sub-areas; based on the precipitation time series characteristics corresponding to the meteorological station and the precipitation cloud map information of the target area, calculating the precipitation time series characteristics of the uncovered sub-areas, and constructing the rainstorm type of each sensitive sub-area.

[0123] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute the rainstorm type determination method provided by the above-mentioned methods, the method comprising: collecting historical rainfall data of at least one meteorological station in the target area, the historical rainfall data including rainfall amount and duration; dividing the target area into regions according to geological disaster sensitivity to obtain sensitive sub-regions having a geological disaster sensitivity higher than a preset sensitivity; determining effective sub-regions covered by the meteorological station and uncovered sub-regions not covered by the meteorological station in each sensitive sub-region in the target area based on the rainfall data coverage of the meteorological station and the location of the meteorological station; analyzing the historical precipitation data of the meteorological station to determine the precipitation time series characteristics of the effective sub-regions; calculating the precipitation time series characteristics of the uncovered sub-regions based on the precipitation time series characteristics corresponding to the meteorological station and the precipitation cloud map information of the target area, and constructing the rainstorm type of each sensitive sub-region.

[0124] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0125] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0126] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for determining a rainstorm type, characterized in that: include: Collecting historical rainfall data of at least one weather station in the target area, wherein the historical rainfall data includes rainfall amount and duration; Divide the target area into regions according to the sensitivity of geological disasters to obtain sensitive sub-regions whose sensitivity of geological disasters is higher than a preset sensitivity; Based on the rainfall data coverage of the meteorological station and the location of the meteorological station, determine the effective sub-areas covered by the meteorological station and the uncovered sub-areas not covered by the meteorological station in each sensitive sub-area in the target area; Analyze the historical precipitation data of the meteorological station to determine the precipitation time series characteristics of the effective sub-area; Based on the precipitation time series characteristics corresponding to the meteorological station and the precipitation cloud map information of the target area, the precipitation time series characteristics of the uncovered sub-area are calculated, and the rainstorm type of each sensitive sub-area is constructed; In the case where there are more than two meteorological stations in the target area, and the precipitation time series characteristics corresponding to the meteorological stations are not completely the same, the precipitation time series characteristics of the uncovered sub-area are calculated based on the precipitation time series characteristics corresponding to the meteorological stations and the precipitation cloud map information of the target area, including: Based on the precipitation time series characteristics corresponding to each meteorological station, the coincidence rate of rainfall events at each meteorological station is determined; When the coincidence rate of rainfall events at each meteorological station is greater than a first threshold, determining the coincidence duration of rainstorm events at each meteorological station within the target period; When the overlap duration of the rainstorm events at each weather station is greater than the second threshold, determining the precipitation influence constant based on the precipitation time series characteristics corresponding to the weather station; Based on the precipitation impact constant and the radar echo intensity in the precipitation cloud image information of the target area, the precipitation time series characteristics of the uncovered sub-area are calculated.

2. The method for determining a rainstorm type according to claim 1, characterized in that: In the case where there are more than two meteorological stations in the target area and the precipitation time series characteristics corresponding to the meteorological stations are exactly the same, the precipitation time series characteristics of the uncovered sub-area are calculated based on the precipitation time series characteristics corresponding to the meteorological stations and the precipitation cloud map information of the target area, including: Based on the radar echo intensity in the precipitation cloud image information of the target area, the precipitation time series characteristics of the uncovered sub-area are calculated according to the precipitation time series characteristics corresponding to the meteorological station.

3. The method for determining a rainstorm type according to claim 1, characterized in that: The precipitation time series characteristics of the uncovered sub-area include the precipitation in each unit time period, and the precipitation R in the unit time period is determined by the following formula: Z=a·R b ; Among them, Z represents the radar echo intensity in the precipitation cloud image information, and a and b are precipitation influence constants.

4. The method for determining a rainstorm type according to claim 1, characterized in that: The analysis of historical precipitation data of the meteorological station to determine the precipitation time series characteristics of the effective sub-area includes: Align the historical precipitation data of the weather stations by time and generate precipitation time series according to time; According to the set threshold, the periods of the identified rainfall events and rainstorm events are marked to obtain the precipitation time series characteristics of the effective sub-area.

5. The method for determining a rainstorm type according to claim 1, characterized in that: The construction of the rainstorm pattern of each sensitive sub-area includes: Normalize the rainfall events in the precipitation time series characteristics of each sensitive sub-region, and standardize the time axis and rainfall axis; Count the rainfall peaks of each rainfall event and determine the peak positions on the time axis; According to the normalized rainfall time series data and the peak position of rainfall events in each sensitive sub-region, the rainstorm pattern representing each sensitive sub-region is fitted.

6. The method for determining a rainstorm type according to claim 1, characterized in that: The target area is divided according to the sensitivity of geological disasters to obtain sensitive sub-areas with a higher sensitivity than a preset sensitivity, including: Dividing the target area into a plurality of location grids; Collecting geological disaster sensitivity factors of each location grid under the target area; The geological hazard sensitivity factors of each location are added according to the weights to obtain the geological hazard sensitivity of each location grid; The location grids whose geological disaster sensitivity is higher than the preset sensitivity are determined as the sensitive sub-areas.

7. A device for determining a rainstorm type, characterized in that: The rainstorm type determination device uses the rainstorm type determination method according to any one of claims 1 to 6 to construct the rainstorm type of each sensitive sub-area, and the rainstorm type determination device includes: A collection module, used to collect historical rainfall data of at least one meteorological station in the target area, wherein the historical rainfall data includes rainfall amount and duration; A first partitioning module is used to divide the target area into regions according to the sensitivity of geological disasters to obtain sensitive sub-regions whose sensitivity of geological disasters is higher than a preset sensitivity; A second partitioning module is used to determine the effective sub-areas covered by the meteorological station and the uncovered sub-areas not covered by the meteorological station in each sensitive sub-area in the target area based on the rainfall data coverage of the meteorological station and the location of the meteorological station; The precipitation analysis module is used to analyze the historical precipitation data of the meteorological station and determine the precipitation time series characteristics of the effective sub-area; The processing module is used to calculate the precipitation time series characteristics of the uncovered sub-area based on the precipitation time series characteristics corresponding to the meteorological station and the precipitation cloud map information of the target area, and construct the heavy rain type of each sensitive sub-area.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and capable of running on the processor, characterized in that: When the processor executes the program, the method for determining the rainstorm type according to any one of claims 1 to 6 is implemented.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for determining a rainstorm type according to any one of claims 1 to 6 is implemented.

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