Method and system for monitoring and early warning regional meteorological drought and flood sudden turning event

Abstract

The invention relates to the technical field of meteorological early warning, and discloses a regional meteorological drought and flood sudden change event monitoring and early warning method and system, and the method comprises the steps: collecting drought and flood sudden change event index data, and obtaining a drought and flood sudden change event index data sequence; determining a drought and flood sudden change event index data set, and calculating a regional drought and flood sudden change event intensity index; obtaining standardized precipitation information; calculating a regional meteorological drought and flood sudden change event relation coefficient based on the standardized precipitation information and the regional drought and flood sudden change event intensity index; and judging the occurrence and intensity of a sudden turn event, and sending out meteorological monitoring early warning. Fixed monthly rainfall statistical information is optimized into day-by-day sliding 30-day rainfall information, day-by-day real-time and all-around monitoring of drought and flood sudden change events is achieved, regional drought and flood sudden change events are rapidly recognized, the time-space precision of monitoring and prediction services is improved, early warning of the drought and flood sudden change events is issued in advance, and the early warning efficiency of the drought and flood sudden change events is improved. Loss caused by drought and flood sudden turning disasters is effectively reduced, and powerful support is provided for disaster prevention and reduction.

Description

Technical Field

[0001] The present invention relates to the field of meteorological early warning technology, and in particular to a method and system for monitoring and early warning of regional meteorological drought-flood sudden-change events. Background Art

[0002] In recent years, with the intensification of climate change, the frequency and intensity of extreme weather events have increased. As a typical extreme weather phenomenon, drought-flood abrupt events have brought great challenges to people's lives and production due to their suddenness and unpredictability. Meteorological drought-flood abrupt events refer to meteorological phenomena in which precipitation in a certain geographical area changes rapidly from extreme drought to extreme flood in the same season. Traditional meteorological monitoring methods often fail to capture the signs of drought-flood abrupt changes in a timely and accurate manner, resulting in delayed warnings and increased losses. Therefore, studying a new regional meteorological drought-flood abrupt change event monitoring and early warning method has important practical significance and application value.

[0003] At present, domestic and foreign scholars have conducted a lot of research on meteorological disaster risks in terms of monitoring and early warning of drought-flood transition events. Existing research mainly focuses on qualitative or semi-quantitative methods, analyzing and identifying single factors or single indicators; drought risks mostly use adaptive drought indicators, while flood disasters mostly rely on flood characteristics and hydrological frequency calculations. However, these methods often have problems such as untimely data acquisition, long analysis cycle, and delayed early warning. In addition, for the complex phenomenon of drought-flood transition, single-direction monitoring often cannot fully reflect its true situation, and it is impossible to coordinate the indicator data of drought risk and flood disasters, and it is impossible to ensure the early warning accuracy of drought-flood transition events. Summary of the invention

[0004] In view of this, the present invention proposes a regional meteorological drought-flood sudden transition event monitoring and early warning method and system. The present invention can conduct all-round and real-time monitoring of drought-flood sudden transition events, can quickly identify the signs of drought-flood sudden transition events, improve the monitoring accuracy of drought-flood sudden transition events, and then issue drought-flood sudden transition event warnings in advance.

[0005] The present invention proposes a regional meteorological drought-flood rapid transition event monitoring and early warning method, comprising:

[0006] Determine a monitoring and early warning area, collect drought-flood rapid transition event indicator data in the monitoring and early warning area based on multiple collection time points, and process the drought-flood rapid transition event indicator data to obtain multiple drought-flood rapid transition event indicator data sequences;

[0007] Analyze the drought-flood sudden transition event indicator data sequence, determine multiple drought-flood sudden transition event indicator data sets based on the analysis results, and calculate the regional drought-flood sudden transition event intensity index of the monitoring and early warning area based on the drought-flood sudden transition event indicator data sets;

[0008] Determine a first collection time point from multiple collection time points, and use the first collection time point as a reference time point to obtain standardized precipitation information of the monitoring and early warning area, wherein the standardized precipitation information includes standardized precipitation information of the first 30 days before the reference time point and standardized precipitation information of the last 30 days after the reference time point;

[0009] Calculate the regional meteorological drought-flood transition event relationship coefficient of the monitoring and early warning area based on the standardized precipitation information and the regional drought-flood transition event intensity index;

[0010] The sudden transition events in the monitoring and early warning area are judged according to the regional meteorological drought-flood sudden transition event relationship coefficient, and a meteorological monitoring and early warning is issued in real time, wherein the sudden transition events include drought-to-flood events, flood-to-drought events and normal state events.

[0011] Furthermore, before the drought-flood rapid transition event indicator data is processed to obtain a plurality of drought-flood rapid transition event indicator data sequences, the method further includes:

[0012] Performing data cleaning on all drought-flood sudden change event indicator data, wherein the data cleaning includes deleting invalid indicator data, duplicate indicator data and erroneous indicator data in the drought-flood sudden change event indicator data;

[0013] Data extraction is performed on the drought-flood rapid transition event indicator data after data cleaning, wherein the data extraction includes classifying the drought-flood rapid transition event indicator data after cleaning according to data categories.

[0014] Furthermore, when analyzing the drought-flood sudden transition event indicator data sequence and determining a plurality of drought-flood sudden transition event indicator data sets based on the analysis results, it includes:

[0015] Obtain preset drought-flood sudden transition event indicator data corresponding to each drought-flood sudden transition event indicator data sequence;

[0016] Analyzing the drought-flood rapid transition event indicator data sequence according to the preset drought-flood rapid transition event indicator data, when the drought-flood rapid transition event indicator data in the drought-flood rapid transition event indicator data sequence is less than the preset drought-flood rapid transition event indicator data, determining the drought indicator data set according to the corresponding drought-flood rapid transition event indicator data;

[0017] When the drought-flood sudden transition event indicator data in the drought-flood sudden transition event indicator data sequence is equal to the preset drought-flood sudden transition event indicator data, determining the coordination indicator data set according to the corresponding drought-flood sudden transition event indicator data;

[0018] When the drought-flood sudden transition event index data in the drought-flood sudden transition event index data sequence is greater than the preset drought-flood sudden transition event index data, the flood index data set is determined according to the corresponding drought-flood sudden transition event index data.

[0019] Further, when calculating the regional drought-flood transition event intensity index of the monitoring and early warning area based on the drought-flood transition event indicator data set, it includes:

[0020] Configure a first adjustment coefficient, calculate a first product value of the first adjustment coefficient and the preset drought-flood rapid transition event indicator data, and use the first adjustment drought-flood rapid transition event indicator data as the first adjustment drought-flood rapid transition event indicator data;

[0021] Determine a first minimum drought-flood rapid transition event indicator data in the drought indicator data set, and determine a first drought indicator data interval according to the first minimum drought-flood rapid transition event indicator data and the first adjusted drought-flood rapid transition event indicator data;

[0022] Determine a first maximum drought-flood rapid transition event indicator data in the drought indicator data set, and determine a second drought indicator data interval according to the first maximum drought-flood rapid transition event indicator data and the first adjusted drought-flood rapid transition event indicator data;

[0023] Analyze the drought indicator data set, and count the number of first drought-flood sudden transition event indicator data falling within the first drought indicator data interval;

[0024] Counting the number of the second drought-flood sudden transition event indicator data falling within the second drought indicator data interval;

[0025] Calculate a first regional drought-flood transition event intensity index of the monitoring and early warning area based on the first drought-flood transition event index data quantity and the second drought-flood transition event index data quantity;

[0026]

[0027] Among them, a1 is the intensity index of the first regional drought-flood transition event in the monitoring and early warning area, s is the number of drought-flood transition event indicator data in the drought indicator data set, and d e is the e-th drought-flood sudden transition event indicator data in the drought indicator data set, f1 is the first minimum drought-flood sudden transition event indicator data, f2 is the first adjusted drought-flood sudden transition event indicator data, s1 is the number of the first drought-flood sudden transition event indicator data, s2 is the number of the second drought-flood sudden transition event indicator data, y is the calculation function, and its value range is (0.1, 0.9).

[0028] Further, when calculating the regional drought-flood transition event intensity index of the monitoring and early warning area based on the drought-flood transition event indicator data set, it includes:

[0029] Configure a second adjustment coefficient, calculate a second product value of the second adjustment coefficient and the preset drought-flood rapid transition event indicator data, and use the second product value as the second adjustment drought-flood rapid transition event indicator data;

[0030] Determine the second minimum drought-flood sudden transition event index data in the flood index data set, and determine the first flood index data interval according to the second minimum drought-flood sudden transition event index data and the second adjusted drought-flood sudden transition event index data;

[0031] Determine the second maximum drought-flood rapid transition event index data in the flood index data set, and determine the second flood index data interval according to the second maximum drought-flood rapid transition event index data and the second adjusted drought-flood rapid transition event index data;

[0032] Analyzing the flood index data set, and counting the number of third drought-flood sudden transition event index data falling within the first flood index data interval;

[0033] Counting the number of fourth drought-flood sudden transition event indicator data falling within the second flood indicator data interval;

[0034] Calculate the second regional drought-flood sudden transition event intensity index of the monitoring and early warning area based on the third drought-flood sudden transition event index data quantity and the fourth drought-flood sudden transition event index data quantity;

[0035]

[0036] Among them, a2 is the second regional drought-flood transition event intensity index of the monitoring and early warning area, g is the number of drought-flood transition event indicator data in the flood indicator data set, and k h is the hth drought-flood sudden transition event indicator data in the flood indicator data set, c1 is the second minimum drought-flood sudden transition event indicator data, c2 is the second adjustment drought-flood sudden transition event indicator data, v1 is the third drought-flood sudden transition event indicator data quantity, and v2 is the fourth drought-flood sudden transition event indicator data quantity.

[0037] Further, when calculating the regional drought-flood transition event intensity index of the monitoring and early warning area based on the drought-flood transition event indicator data set, it includes:

[0038] Calculating the regional drought-flood sudden transition event intensity index of the monitoring and early warning area based on the first regional drought-flood sudden transition event intensity index and the second regional drought-flood sudden transition event intensity index;

[0039] The regional drought-flood transition event intensity index of the monitoring and early warning area is calculated according to the following formula:

[0040]

[0041] Wherein, b is the intensity index of regional drought-flood transition events in the monitoring and early warning area, n1 is the first calculation weight, n2 is the second calculation weight, m ​​is the exponential calculation coefficient of the regional drought-flood transition event intensity index, n1+n2=1, n1>0, and n2>0;

[0042] The index calculation coefficient of the regional drought-flood transition event intensity index is determined according to the following steps:

[0043] Counting the number q of drought-flood sudden transition event indicator data of drought-flood sudden transition event indicator data in the coordination indicator data set;

[0044] Preset the first index calculation coefficient, the second index calculation coefficient and the third index calculation coefficient;

[0045] When q<(s+g), the first index calculation coefficient is selected as the index calculation coefficient of the regional drought-flood sudden transition event intensity index;

[0046] When q=(s+g), the second index calculation coefficient is selected as the index calculation coefficient of the regional drought-flood sudden transition event intensity index;

[0047] When q>(s+g), the third exponential calculation coefficient is selected as the exponential calculation coefficient of the regional drought-flood sudden transition event intensity index.

[0048] Further, when calculating the regional meteorological drought-flood transition event relationship coefficient of the monitoring and early warning area based on the standardized precipitation information and the regional drought-flood transition event intensity index, it includes:

[0049] The regional meteorological drought-flood sudden change event relationship coefficient of the monitoring and early warning area is calculated according to the following formula:

[0050]

[0051] Among them, t is the relationship coefficient of regional meteorological drought-flood sudden change events, R -30 is the standardized precipitation information of the previous 30 days at the reference time point, R 30 is the standardized precipitation information of the last 30 days at the reference time point, and p is the optimization coefficient of the regional meteorological drought-flood transition event relationship coefficient determined according to the regional drought-flood transition event intensity index;

[0052] The optimization coefficient of the regional meteorological drought-flood sudden change event relationship coefficient is determined according to the following steps:

[0053] Preset the first regional drought-flood sudden transition event intensity index and the second regional drought-flood sudden transition event intensity index;

[0054] Presetting a first optimization coefficient, a second optimization coefficient, and a third optimization coefficient;

[0055] When the regional drought-flood sudden transition event intensity index is less than the first regional drought-flood sudden transition event intensity index, the first optimization coefficient is selected as the optimization coefficient of the regional meteorological drought-flood sudden transition event relationship coefficient;

[0056] When the regional drought-flood sudden transition event intensity index is greater than or equal to the first regional drought-flood sudden transition event intensity index, and less than the second regional drought-flood sudden transition event intensity index, the second optimization coefficient is selected as the optimization coefficient of the regional meteorological drought-flood sudden transition event relationship coefficient;

[0057] When the regional drought-flood sudden transition event intensity index is greater than or equal to the second regional drought-flood sudden transition event intensity index, the third optimization coefficient is selected as the optimization coefficient of the regional meteorological drought-flood sudden transition event relationship coefficient.

[0058] Furthermore, when judging the sudden change event in the monitoring and early warning area according to the regional meteorological drought-flood sudden change event relationship coefficient, it includes:

[0059] When t>1, it is determined that at the reference time point, the monitoring and early warning area is the drought-to-flood event;

[0060] When t<-1, it is determined that at the reference time point, the monitoring and early warning area is the flood-to-drought event;

[0061] When -1<t<1, it is determined that at the reference time point, the monitoring and early warning area is the normal state event.

[0062] Compared with the prior art, the present invention has the following beneficial effects:

[0063] The invention discloses a regional meteorological drought-flood sudden transition event monitoring and early warning method and system. The method comprises the following steps: collecting drought-flood sudden transition event index data in a monitoring and early warning area based on a collection time point to obtain a drought-flood sudden transition event index data sequence; determining a drought-flood sudden transition event index data set to calculate a regional drought-flood sudden transition event intensity index; acquiring standardized precipitation information in the monitoring and early warning area based on a reference time point; calculating a regional meteorological drought-flood sudden transition event relationship coefficient based on the standardized precipitation information and the regional drought-flood sudden transition event intensity index; judging a sudden transition event in the monitoring and early warning area, issuing a meteorological monitoring early warning, changing the fixed monthly precipitation information to 30-day rainfall information that slides daily, realizing all-round and real-time monitoring of drought-flood sudden transition events, quickly identifying drought-flood sudden transition events, improving monitoring accuracy, and then issuing drought-flood sudden transition event early warnings in advance, reducing losses caused by drought and flood disasters, and providing strong support for disaster prevention and mitigation.

[0064] On the other hand, the present application also provides a regional meteorological drought and flood sudden change event monitoring and early warning system, including:

[0065] A data processing module is used to determine a monitoring and early warning area, collect drought-flood rapid transition event indicator data in the monitoring and early warning area based on multiple collection time points, and process the drought-flood rapid transition event indicator data to obtain multiple drought-flood rapid transition event indicator data sequences;

[0066] An index calculation module is used to analyze the drought-flood sudden transition event index data sequence, determine multiple drought-flood sudden transition event index data sets based on the analysis results, and calculate the regional drought-flood sudden transition event intensity index of the monitoring and early warning area based on the drought-flood sudden transition event index data sets;

[0067] An information acquisition module, used to determine a first collection time point from multiple collection time points, and to obtain standardized precipitation information of the monitoring and early warning area with the first collection time point as a reference time point, wherein the standardized precipitation information includes standardized precipitation information of the first 30 days and the last 30 days of the reference time point;

[0068] A coefficient calculation module, used to calculate the regional meteorological drought-flood transition event relationship coefficient of the monitoring and early warning area based on the standardized precipitation information and the regional drought-flood transition event intensity index;

[0069] The event judgment module is used to judge the sudden transition events in the monitoring and early warning area according to the regional meteorological drought-flood sudden transition event relationship coefficient, and issue meteorological monitoring and early warning in real time, wherein the sudden transition events include drought-to-flood events, flood-to-drought events and normal state events.

[0070] Furthermore, it also includes:

[0071] A data cleaning module, used for cleaning all drought-flood sudden change event indicator data, wherein the data cleaning includes deleting invalid indicator data, duplicate indicator data and erroneous indicator data in the drought-flood sudden change event indicator data;

[0072] The data extraction module is used to extract the drought-flood rapid transition event indicator data after data cleaning, wherein the data extraction includes classifying the cleaned drought-flood rapid transition event indicator data according to data categories.

[0073] It is understandable that the above-mentioned regional meteorological drought-flood sudden change event monitoring and early warning system and method have the same beneficial effects, which will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0074] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0075] Figure 1 A schematic flow chart of a method for monitoring and early warning of regional meteorological drought-flood sudden-change events provided by an embodiment of the present invention;

[0076] Figure 2 A schematic diagram of the structure of a regional meteorological drought-flood sudden change event monitoring and early warning system provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0077] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art. It should be noted that, in the absence of conflict, the embodiments of the present invention and the features described in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0078] like Figure 1 As shown, in some embodiments of the present application, this embodiment provides a regional meteorological drought-flood sudden change event monitoring and early warning method, including:

[0079] S110: determining a monitoring and early warning area, collecting drought-flood rapid transition event indicator data in the monitoring and early warning area based on multiple collection time points, and processing the drought-flood rapid transition event indicator data to obtain multiple drought-flood rapid transition event indicator data sequences;

[0080] In this embodiment, the monitoring and early warning area is an area where the type of sudden turn event needs to be determined.

[0081] In this embodiment, the collection time point can be set according to actual needs, such as the 1st day, the 2nd day, the 3rd day, etc.

[0082] In this embodiment, the drought-flood transition event index data refers to data that affects drought and floods. The drought-flood transition event index data includes atmospheric circulation intensity, precipitation, water vapor content, etc., which are not shown one by one here. The drought-flood transition event index data can be obtained from the local meteorological station.

[0083] In some embodiments of the present application, before the drought-flood rapid transition event indicator data is processed to obtain a plurality of drought-flood rapid transition event indicator data sequences, the method further includes:

[0084] Performing data cleaning on all drought-flood sudden change event indicator data, wherein the data cleaning includes deleting invalid indicator data, duplicate indicator data and erroneous indicator data in the drought-flood sudden change event indicator data;

[0085] Data extraction is performed on the drought-flood rapid transition event indicator data after data cleaning, wherein the data extraction includes classifying the drought-flood rapid transition event indicator data after cleaning according to data categories.

[0086] In this embodiment, classifying the cleaned drought-flood sudden transition event indicator data refers to classifying the same type of data corresponding to each collection time point, such as classifying the atmospheric circulation intensity corresponding to the first day, the atmospheric circulation intensity corresponding to the second day, and the atmospheric circulation intensity corresponding to the third day, etc., to obtain a drought-flood sudden transition event indicator data sequence, and the rest will not be shown one by one by examples.

[0087] The beneficial effects of the above technical solution are: the present invention deletes invalid indicator data, duplicate indicator data and erroneous indicator data in the drought-flood sudden transition event indicator data, which can ensure the effectiveness of data processing, and classifies the cleaned drought-flood sudden transition event indicator data, which can provide a basis for the calculation of the subsequent regional drought-flood sudden transition event intensity index.

[0088] S120: Analyze the drought-flood transition event indicator data sequence, determine multiple drought-flood transition event indicator data sets based on the analysis results, and calculate the regional drought-flood transition event intensity index of the monitoring and early warning area based on the drought-flood transition event indicator data sets;

[0089] In some embodiments of the present application, when analyzing the drought-flood rapid transition event indicator data sequence and determining multiple drought-flood rapid transition event indicator data sets based on the analysis results, it includes:

[0090] Obtain preset drought-flood sudden transition event indicator data corresponding to each drought-flood sudden transition event indicator data sequence;

[0091] Analyzing the drought-flood rapid transition event indicator data sequence according to the preset drought-flood rapid transition event indicator data, when the drought-flood rapid transition event indicator data in the drought-flood rapid transition event indicator data sequence is less than the preset drought-flood rapid transition event indicator data, determining the drought indicator data set according to the corresponding drought-flood rapid transition event indicator data;

[0092] When the drought-flood sudden transition event indicator data in the drought-flood sudden transition event indicator data sequence is equal to the preset drought-flood sudden transition event indicator data, determining the coordination indicator data set according to the corresponding drought-flood sudden transition event indicator data;

[0093] When the drought-flood sudden transition event index data in the drought-flood sudden transition event index data sequence is greater than the preset drought-flood sudden transition event index data, the flood index data set is determined according to the corresponding drought-flood sudden transition event index data.

[0094] In this embodiment, the preset drought-flood sudden transition event index data corresponds one-to-one to each drought-flood sudden transition event index data sequence. If the drought-flood sudden transition event index data sequence is obtained based on the water vapor content, the preset drought-flood sudden transition event index data is the water vapor content. Here, the water vapor content is preferably 85%. The rest will no longer be given as examples one by one and can be set according to local conditions.

[0095] In this embodiment, when the drought-flood rapid transition event index data is smaller, drought is more likely to occur, and conversely, when the drought-flood rapid transition event index data is larger, flood is more likely to occur.

[0096] The beneficial effect of the above technical solution is: the present invention divides the drought-flood sudden transition event indicator data sequence into a drought indicator data set, a coordination indicator data set and a flood indicator data set according to the drought-flood sudden transition event indicator data and the preset drought-flood sudden transition event indicator data, thereby ensuring the division accuracy of the drought-flood sudden transition event indicator data sequence, and calculating the regional drought-flood sudden transition event intensity index of the monitoring and early warning area according to different situations.

[0097] In some embodiments of the present application, when calculating the regional drought-flood transition event intensity index of the monitoring and early warning area based on the drought-flood transition event indicator data set, it includes:

[0098] Configure a first adjustment coefficient, calculate a first product value of the first adjustment coefficient and the preset drought-flood rapid transition event indicator data, and use the first adjustment drought-flood rapid transition event indicator data as the first adjustment drought-flood rapid transition event indicator data;

[0099] Determine a first minimum drought-flood rapid transition event indicator data in the drought indicator data set, and determine a first drought indicator data interval according to the first minimum drought-flood rapid transition event indicator data and the first adjusted drought-flood rapid transition event indicator data;

[0100] Determine a first maximum drought-flood rapid transition event indicator data in the drought indicator data set, and determine a second drought indicator data interval according to the first maximum drought-flood rapid transition event indicator data and the first adjusted drought-flood rapid transition event indicator data;

[0101] Analyze the drought indicator data set, and count the number of first drought-flood sudden transition event indicator data falling within the first drought indicator data interval;

[0102] Counting the number of the second drought-flood sudden transition event indicator data falling within the second drought indicator data interval;

[0103] Calculate a first regional drought-flood transition event intensity index of the monitoring and early warning area based on the first drought-flood transition event index data quantity and the second drought-flood transition event index data quantity;

[0104]

[0105] Among them, a1 is the intensity index of the first regional drought-flood transition event in the monitoring and early warning area, s is the number of drought-flood transition event indicator data in the drought indicator data set, and d e is the e-th drought-flood sudden transition event indicator data in the drought indicator data set, f1 is the first minimum drought-flood sudden transition event indicator data, f2 is the first adjusted drought-flood sudden transition event indicator data, s1 is the number of the first drought-flood sudden transition event indicator data, s2 is the number of the second drought-flood sudden transition event indicator data, y is the calculation function, and its value range is (0.1, 0.9).

[0106] In this embodiment, the first adjustment coefficient is preferably 0.95.

[0107] In this embodiment, if the preset drought-flood sudden transition event index data is 90%, the obtained first adjusted drought-flood sudden transition event index data is 80%, which is shown here as an example.

[0108] In this embodiment, the first drought indicator data interval does not include the first adjusted drought-flood rapid transition event indicator data, and the second drought indicator data interval includes the first adjusted drought-flood rapid transition event indicator data.

[0109] The beneficial effect of the above technical solution is: the present invention calculates the first regional drought-flood sudden transition event intensity index of the monitoring and early warning area based on the first drought-flood sudden transition event indicator data quantity and the second drought-flood sudden transition event indicator data quantity, thereby ensuring the calculation accuracy of the first regional drought-flood sudden transition event intensity index. Based on the first regional drought-flood sudden transition event intensity index, a preliminary understanding of the drought situation in the monitoring and early warning area can be obtained.

[0110] In some embodiments of the present application, when calculating the regional drought-flood transition event intensity index of the monitoring and early warning area based on the drought-flood transition event indicator data set, it includes:

[0111] Configure a second adjustment coefficient, calculate a second product value of the second adjustment coefficient and the preset drought-flood rapid transition event indicator data, and use the second product value as the second adjustment drought-flood rapid transition event indicator data;

[0112] Determine the second minimum drought-flood sudden transition event index data in the flood index data set, and determine the first flood index data interval according to the second minimum drought-flood sudden transition event index data and the second adjusted drought-flood sudden transition event index data;

[0113] Determine the second maximum drought-flood rapid transition event index data in the flood index data set, and determine the second flood index data interval according to the second maximum drought-flood rapid transition event index data and the second adjusted drought-flood rapid transition event index data;

[0114] Analyze the flood index data set, and count the number of third drought-flood sudden transition event index data that fall within the first flood index data interval;

[0115] Counting the number of fourth drought-flood sudden transition event indicator data falling within the second flood indicator data interval;

[0116] Calculate the second regional drought-flood sudden transition event intensity index of the monitoring and early warning area based on the third drought-flood sudden transition event index data quantity and the fourth drought-flood sudden transition event index data quantity;

[0117]

[0118] Among them, a2 is the second regional drought-flood transition event intensity index of the monitoring and early warning area, g is the number of drought-flood transition event indicator data in the flood indicator data set, and k h is the hth drought-flood sudden transition event indicator data in the flood indicator data set, c1 is the second minimum drought-flood sudden transition event indicator data, c2 is the second adjustment drought-flood sudden transition event indicator data, v1 is the third drought-flood sudden transition event indicator data quantity, and v2 is the fourth drought-flood sudden transition event indicator data quantity.

[0119] In this embodiment, the second adjustment coefficient is preferably 1.05.

[0120] In this embodiment, if the preset drought-flood sudden transition event index data is 90%, the obtained second adjusted drought-flood sudden transition event index data is 94.5%, which is shown here as an example.

[0121] In this embodiment, the first flood index data interval does not include the second adjusted drought-flood rapid transition event index data, and the second flood index data interval includes the second adjusted drought-flood rapid transition event index data.

[0122] The beneficial effect of the above technical solution is: the present invention calculates the second regional drought-flood sudden transition event intensity index of the monitoring and early warning area based on the third drought-flood sudden transition event indicator data quantity and the fourth drought-flood sudden transition event indicator data quantity, thereby ensuring the calculation accuracy of the second regional drought-flood sudden transition event intensity index. Based on the second regional drought-flood sudden transition event intensity index, a preliminary understanding of the flood situation in the monitoring and early warning area can be obtained.

[0123] In some embodiments of the present application, when calculating the regional drought-flood transition event intensity index of the monitoring and early warning area based on the drought-flood transition event indicator data set, it includes:

[0124] Calculating the regional drought-flood sudden transition event intensity index of the monitoring and early warning area based on the first regional drought-flood sudden transition event intensity index and the second regional drought-flood sudden transition event intensity index;

[0125] The regional drought-flood transition event intensity index of the monitoring and early warning area is calculated according to the following formula:

[0126]

[0127] Wherein, b is the intensity index of regional drought-flood transition events in the monitoring and early warning area, n1 is the first calculation weight, n2 is the second calculation weight, m ​​is the exponential calculation coefficient of the regional drought-flood transition event intensity index, n1+n2=1, n1>0, and n2>0;

[0128] The index calculation coefficient of the regional drought-flood transition event intensity index is determined according to the following steps:

[0129] Counting the number q of drought-flood sudden transition event indicator data of drought-flood sudden transition event indicator data in the coordination indicator data set;

[0130] Preset the first index calculation coefficient, the second index calculation coefficient and the third index calculation coefficient;

[0131] When q<(s+g), the first index calculation coefficient is selected as the index calculation coefficient of the regional drought-flood sudden transition event intensity index;

[0132] When q=(s+g), the second index calculation coefficient is selected as the index calculation coefficient of the regional drought-flood sudden transition event intensity index;

[0133] When q>(s+g), the third exponential calculation coefficient is selected as the exponential calculation coefficient of the regional drought-flood sudden transition event intensity index.

[0134] In this embodiment, the first exponential calculation coefficient is preferably 0.95, the second exponential calculation coefficient is preferably 1.05, and the third exponential calculation coefficient is preferably 1.1, which can be adjusted according to actual conditions.

[0135] The beneficial effect of the above technical solution is: the present invention calculates the regional drought-flood sudden transition event intensity index of the monitoring and early warning area based on the first regional drought-flood sudden transition event intensity index and the second regional drought-flood sudden transition event intensity index, thereby ensuring the calculation accuracy and comprehensiveness of the regional drought-flood sudden transition event intensity index, and comprehensively analyzing the flood index data set, the drought index data set and the coordination index data set to avoid errors, while realizing dynamic adjustment of the regional drought-flood sudden transition event intensity index according to the number of drought-flood sudden transition event indicator data.

[0136] S130: Determine a first collection time point from multiple collection time points, and obtain standardized precipitation information of the monitoring and early warning area with the first collection time point as a reference time point, wherein the standardized precipitation information includes standardized precipitation information of the first 30 days and the last 30 days of the reference time point;

[0137] In this embodiment, the standardized precipitation information for the first 30 days refers to the standardized precipitation information for the first 30 days of the reference time point, and the standardized precipitation information for the last 30 days refers to the standardized precipitation information for the last 30 days of the reference time point. Both standardized precipitation information can be obtained from the local meteorological station.

[0138] S140: Calculating the regional meteorological drought-flood transition event relationship coefficient of the monitoring and early warning area based on the standardized precipitation information and the regional drought-flood transition event intensity index;

[0139] In some embodiments of the present application, when calculating the regional meteorological drought-flood transition event relationship coefficient of the monitoring and early warning area based on the standardized precipitation information and the regional drought-flood transition event intensity index, it includes:

[0140] The regional meteorological drought-flood sudden change event relationship coefficient of the monitoring and early warning area is calculated according to the following formula:

[0141]

[0142] Among them, t is the relationship coefficient of regional meteorological drought-flood sudden change events, R -30 is the standardized precipitation information of the previous 30 days at the reference time point, R 30 is the standardized precipitation information of the last 30 days at the reference time point, and p is the optimization coefficient of the regional meteorological drought-flood transition event relationship coefficient determined according to the regional drought-flood transition event intensity index;

[0143] The optimization coefficient of the regional meteorological drought-flood sudden change event relationship coefficient is determined according to the following steps:

[0144] Preset the first regional drought-flood sudden transition event intensity index and the second regional drought-flood sudden transition event intensity index;

[0145] Presetting a first optimization coefficient, a second optimization coefficient, and a third optimization coefficient;

[0146] When the regional drought-flood sudden transition event intensity index is less than the first regional drought-flood sudden transition event intensity index, the first optimization coefficient is selected as the optimization coefficient of the regional meteorological drought-flood sudden transition event relationship coefficient;

[0147] When the regional drought-flood sudden transition event intensity index is greater than or equal to the first regional drought-flood sudden transition event intensity index, and less than the second regional drought-flood sudden transition event intensity index, the second optimization coefficient is selected as the optimization coefficient of the regional meteorological drought-flood sudden transition event relationship coefficient;

[0148] When the regional drought-flood sudden transition event intensity index is greater than or equal to the second regional drought-flood sudden transition event intensity index, the third optimization coefficient is selected as the optimization coefficient of the regional meteorological drought-flood sudden transition event relationship coefficient.

[0149] In this embodiment, the first regional drought-flood transition event intensity index is preferably 5, and the second regional drought-flood transition event intensity index is preferably 9, which can be adjusted according to actual conditions.

[0150] In this embodiment, the first optimization coefficient is preferably 0.9, the second optimization coefficient is preferably 1, and the third optimization coefficient is preferably 1.1, which can be adjusted according to actual conditions.

[0151] In this embodiment, the monthly precipitation is replaced by the daily sliding 30-day rainfall accumulation, which is more in line with the local time series characteristics.

[0152] The beneficial effect of the above technical solution is: the present invention selects the corresponding optimization coefficient according to the regional drought-flood sudden transition event intensity index, the first regional drought-flood sudden transition event intensity index and the second regional drought-flood sudden transition event intensity index, and further realizes the optimization adjustment of the regional meteorological drought-flood sudden transition event relationship coefficient, ensures the calculation accuracy of the regional meteorological drought-flood sudden transition event relationship coefficient, does not require manual participation in the calculation, reduces the calculation error, and provides a basis for the judgment of sudden transition events in the monitoring and early warning areas.

[0153] S150: judging the sudden transition events in the monitoring and early warning area according to the regional meteorological drought-flood sudden transition event relationship coefficient, and issuing meteorological monitoring and early warning in real time, wherein the sudden transition events include drought-to-flood events, flood-to-drought events and normal state events.

[0154] In some embodiments of the present application, when judging the sudden transition event in the monitoring and early warning area according to the regional meteorological drought-flood sudden transition event relationship coefficient, it includes:

[0155] When t>1, it is determined that at the reference time point, the monitoring and early warning area is the drought-to-flood event;

[0156] When t<-1, it is determined that at the reference time point, the monitoring and early warning area is the flood-to-drought event;

[0157] When -1<t<1, it is determined that at the reference time point, the monitoring and early warning area is the normal state event.

[0158] In this embodiment, when the absolute value of t is larger, it means that the drought-flood sudden change event is more serious.

[0159] The beneficial effect of the above technical solution is: the present invention changes the fixed monthly precipitation information into 30-day rainfall information that slides daily, realizes all-round and real-time monitoring of drought-flood transition events, quickly identifies drought-flood transition events, improves monitoring accuracy, and then issues early warning of drought-flood transition events, reduces losses caused by drought and flood disasters, and provides strong support for disaster prevention and mitigation.

[0160] like Figure 2 As shown, in another preferred embodiment based on the above embodiment, this embodiment provides a regional meteorological drought and flood sudden change event monitoring and early warning system, including:

[0161] A data processing module is used to determine a monitoring and early warning area, collect drought-flood rapid transition event indicator data in the monitoring and early warning area based on multiple collection time points, and process the drought-flood rapid transition event indicator data to obtain multiple drought-flood rapid transition event indicator data sequences;

[0162] An index calculation module is used to analyze the drought-flood sudden transition event index data sequence, determine multiple drought-flood sudden transition event index data sets based on the analysis results, and calculate the regional drought-flood sudden transition event intensity index of the monitoring and early warning area based on the drought-flood sudden transition event index data sets;

[0163] An information acquisition module, used to determine a first collection time point from multiple collection time points, and to obtain standardized precipitation information of the monitoring and early warning area with the first collection time point as a reference time point, wherein the standardized precipitation information includes standardized precipitation information of the first 30 days and the last 30 days of the reference time point;

[0164] A coefficient calculation module, used to calculate the regional meteorological drought-flood transition event relationship coefficient of the monitoring and early warning area based on the standardized precipitation information and the regional drought-flood transition event intensity index;

[0165] The event judgment module is used to judge the sudden transition events in the monitoring and early warning area according to the regional meteorological drought-flood sudden transition event relationship coefficient, and issue meteorological monitoring and early warning in real time, wherein the sudden transition events include drought-to-flood events, flood-to-drought events and normal state events.

[0166] In some embodiments of the present application, it also includes:

[0167] A data cleaning module, used for cleaning all drought-flood sudden change event indicator data, wherein the data cleaning includes deleting invalid indicator data, duplicate indicator data and erroneous indicator data in the drought-flood sudden change event indicator data;

[0168] The data extraction module is used to extract the drought-flood rapid transition event indicator data after data cleaning, wherein the data extraction includes classifying the cleaned drought-flood rapid transition event indicator data according to data categories.

[0169] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0170] The present application is described with reference to flowcharts and / or block diagrams of methods, devices (systems) and computer program products according to embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0171] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0172] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0173] 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 above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents, and any modifications or equivalent replacements that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the present invention.

Claims

1. A method for monitoring and early warning of regional meteorological drought-flood sudden change events, characterized in that: include: Determine a monitoring and early warning area, collect drought-flood rapid transition event indicator data in the monitoring and early warning area based on multiple collection time points, and process the drought-flood rapid transition event indicator data to obtain multiple drought-flood rapid transition event indicator data sequences; Analyze the drought-flood sudden transition event indicator data sequence, determine multiple drought-flood sudden transition event indicator data sets based on the analysis results, and calculate the regional drought-flood sudden transition event intensity index of the monitoring and early warning area based on the drought-flood sudden transition event indicator data sets; Determine a first collection time point from multiple collection time points, and use the first collection time point as a reference time point to obtain standardized precipitation information of the monitoring and early warning area, wherein the standardized precipitation information includes standardized precipitation information of the first 30 days before the reference time point and standardized precipitation information of the last 30 days after the reference time point; Calculate the regional meteorological drought-flood transition event relationship coefficient of the monitoring and early warning area based on the standardized precipitation information and the regional drought-flood transition event intensity index; The sudden transition events in the monitoring and early warning area are judged according to the regional meteorological drought-flood sudden transition event relationship coefficient, and a meteorological monitoring and early warning is issued in real time, wherein the sudden transition events include drought-to-flood events, flood-to-drought events and normal state events.

2. The method for monitoring and early warning of regional meteorological drought-flood sudden change events according to claim 1 is characterized in that: Before the drought-flood rapid transition event indicator data is processed to obtain a plurality of drought-flood rapid transition event indicator data sequences, the method further includes: Performing data cleaning on all drought-flood sudden change event indicator data, wherein the data cleaning includes deleting invalid indicator data, duplicate indicator data and erroneous indicator data in the drought-flood sudden change event indicator data; Data extraction is performed on the drought-flood rapid transition event indicator data after data cleaning, wherein the data extraction includes classifying the drought-flood rapid transition event indicator data after cleaning according to data categories.

3. The method for monitoring and early warning of regional meteorological drought-flood sudden change events according to claim 1, characterized in that: When analyzing the drought-flood rapid transition event indicator data sequence and determining a plurality of drought-flood rapid transition event indicator data sets based on the analysis result, the method includes: Obtain preset drought-flood sudden transition event indicator data corresponding to each drought-flood sudden transition event indicator data sequence; Analyzing the drought-flood rapid transition event indicator data sequence according to the preset drought-flood rapid transition event indicator data, when the drought-flood rapid transition event indicator data in the drought-flood rapid transition event indicator data sequence is less than the preset drought-flood rapid transition event indicator data, determining the drought indicator data set according to the corresponding drought-flood rapid transition event indicator data; When the drought-flood sudden transition event indicator data in the drought-flood sudden transition event indicator data sequence is equal to the preset drought-flood sudden transition event indicator data, determining the coordination indicator data set according to the corresponding drought-flood sudden transition event indicator data; When the drought-flood sudden transition event index data in the drought-flood sudden transition event index data sequence is greater than the preset drought-flood sudden transition event index data, the flood index data set is determined according to the corresponding drought-flood sudden transition event index data.

4. The method for monitoring and early warning of regional meteorological drought-flood sudden change events according to claim 3 is characterized in that: When calculating the regional drought-flood transition event intensity index of the monitoring and early warning area based on the drought-flood transition event indicator data set, it includes: Configure a first adjustment coefficient, calculate a first product value of the first adjustment coefficient and the preset drought-flood rapid transition event indicator data, and use the first adjustment drought-flood rapid transition event indicator data as the first adjustment drought-flood rapid transition event indicator data; Determine a first minimum drought-flood rapid transition event indicator data in the drought indicator data set, and determine a first drought indicator data interval according to the first minimum drought-flood rapid transition event indicator data and the first adjusted drought-flood rapid transition event indicator data; Determine a first maximum drought-flood rapid transition event indicator data in the drought indicator data set, and determine a second drought indicator data interval according to the first maximum drought-flood rapid transition event indicator data and the first adjusted drought-flood rapid transition event indicator data; Analyze the drought indicator data set, and count the number of first drought-flood sudden transition event indicator data falling within the first drought indicator data interval; Counting the number of the second drought-flood sudden transition event indicator data falling within the second drought indicator data interval; Calculate a first regional drought-flood transition event intensity index of the monitoring and early warning area based on the first drought-flood transition event index data quantity and the second drought-flood transition event index data quantity; Among them, a1 is the intensity index of the first regional drought-flood transition event in the monitoring and early warning area, s is the number of drought-flood transition event indicator data in the drought indicator data set, and d e is the e-th drought-flood sudden transition event indicator data in the drought indicator data set, f1 is the first minimum drought-flood sudden transition event indicator data, f2 is the first adjusted drought-flood sudden transition event indicator data, s1 is the number of the first drought-flood sudden transition event indicator data, s2 is the number of the second drought-flood sudden transition event indicator data, y is the calculation function, and its value range is (0.1, 0.9).

5. The method for monitoring and early warning of regional meteorological drought-flood sudden change events according to claim 4 is characterized in that: When calculating the regional drought-flood transition event intensity index of the monitoring and early warning area based on the drought-flood transition event indicator data set, it includes: Configure a second adjustment coefficient, calculate a second product value of the second adjustment coefficient and the preset drought-flood rapid transition event indicator data, and use the second product value as the second adjustment drought-flood rapid transition event indicator data; Determine the second minimum drought-flood sudden transition event index data in the flood index data set, and determine the first flood index data interval according to the second minimum drought-flood sudden transition event index data and the second adjusted drought-flood sudden transition event index data; Determine the second maximum drought-flood rapid transition event index data in the flood index data set, and determine the second flood index data interval according to the second maximum drought-flood rapid transition event index data and the second adjusted drought-flood rapid transition event index data; Analyze the flood index data set, and count the number of third drought-flood sudden transition event index data that fall within the first flood index data interval; Counting the number of fourth drought-flood sudden transition event indicator data falling within the second flood indicator data interval; Calculate the second regional drought-flood sudden transition event intensity index of the monitoring and early warning area based on the third drought-flood sudden transition event index data quantity and the fourth drought-flood sudden transition event index data quantity; Among them, a2 is the second regional drought-flood transition event intensity index of the monitoring and early warning area, g is the number of drought-flood transition event indicator data in the flood indicator data set, and k h is the hth drought-flood sudden transition event indicator data in the flood indicator data set, c1 is the second minimum drought-flood sudden transition event indicator data, c2 is the second adjustment drought-flood sudden transition event indicator data, v1 is the third drought-flood sudden transition event indicator data quantity, and v2 is the fourth drought-flood sudden transition event indicator data quantity.

6. The method for monitoring and early warning of regional meteorological drought-flood sudden change events according to claim 5 is characterized in that: When calculating the regional drought-flood transition event intensity index of the monitoring and early warning area based on the drought-flood transition event indicator data set, it includes: Calculating the regional drought-flood sudden transition event intensity index of the monitoring and early warning area based on the first regional drought-flood sudden transition event intensity index and the second regional drought-flood sudden transition event intensity index; The regional drought-flood transition event intensity index of the monitoring and early warning area is calculated according to the following formula: Wherein, b is the intensity index of regional drought-flood transition events in the monitoring and early warning area, n1 is the first calculation weight, n2 is the second calculation weight, m ​​is the exponential calculation coefficient of the regional drought-flood transition event intensity index, n1+n2=1, n1>0, and n2>0; The index calculation coefficient of the regional drought-flood transition event intensity index is determined according to the following steps: Counting the number q of drought-flood sudden transition event indicator data of drought-flood sudden transition event indicator data in the coordination indicator data set; Preset the first index calculation coefficient, the second index calculation coefficient and the third index calculation coefficient; When q<(s+g), the first index calculation coefficient is selected as the index calculation coefficient of the regional drought-flood sudden transition event intensity index; When q=(s+g), the second index calculation coefficient is selected as the index calculation coefficient of the regional drought-flood sudden transition event intensity index; When q>(s+g), the third exponential calculation coefficient is selected as the exponential calculation coefficient of the regional drought-flood sudden transition event intensity index.

7. The method for monitoring and early warning of regional meteorological drought-flood sudden change events according to claim 1, characterized in that: When calculating the regional meteorological drought-flood transition event relationship coefficient of the monitoring and early warning area based on the standardized precipitation information and the regional drought-flood transition event intensity index, it includes: The regional meteorological drought-flood sudden change event relationship coefficient of the monitoring and early warning area is calculated according to the following formula: Among them, t is the relationship coefficient of regional meteorological drought-flood sudden change events, R -30 is the standardized precipitation information of the previous 30 days at the reference time point, R 30 is the standardized precipitation information of the last 30 days at the reference time point, and p is the optimization coefficient of the regional meteorological drought-flood transition event relationship coefficient determined according to the regional drought-flood transition event intensity index; The optimization coefficient of the regional meteorological drought-flood sudden change event relationship coefficient is determined according to the following steps: Preset the first regional drought-flood sudden transition event intensity index and the second regional drought-flood sudden transition event intensity index; Presetting a first optimization coefficient, a second optimization coefficient, and a third optimization coefficient; When the regional drought-flood sudden transition event intensity index is less than the first regional drought-flood sudden transition event intensity index, the first optimization coefficient is selected as the optimization coefficient of the regional meteorological drought-flood sudden transition event relationship coefficient; When the regional drought-flood sudden transition event intensity index is greater than or equal to the first regional drought-flood sudden transition event intensity index, and less than the second regional drought-flood sudden transition event intensity index, the second optimization coefficient is selected as the optimization coefficient of the regional meteorological drought-flood sudden transition event relationship coefficient; When the regional drought-flood sudden transition event intensity index is greater than or equal to the second regional drought-flood sudden transition event intensity index, the third optimization coefficient is selected as the optimization coefficient of the regional meteorological drought-flood sudden transition event relationship coefficient.

8. The method for monitoring and early warning of regional meteorological drought-flood sudden change events according to claim 1, characterized in that: When judging the sudden change event in the monitoring and early warning area according to the regional meteorological drought-flood sudden change event relationship coefficient, it includes: When t>1, it is determined that at the reference time point, the monitoring and early warning area is the drought-to-flood event; When t<-1, it is determined that at the reference time point, the monitoring and early warning area is the flood-to-drought event; When -1<t<1, it is determined that at the reference time point, the monitoring and early warning area is the normal state event.

9. A regional meteorological drought-flood sudden change event monitoring and early warning system, applied to the regional meteorological drought-flood sudden change event monitoring and early warning method as claimed in any one of claims 1 to 8, characterized in that: include: A data processing module is used to determine a monitoring and early warning area, collect drought-flood rapid transition event indicator data in the monitoring and early warning area based on multiple collection time points, and process the drought-flood rapid transition event indicator data to obtain multiple drought-flood rapid transition event indicator data sequences; An index calculation module is used to analyze the drought-flood sudden transition event index data sequence, determine multiple drought-flood sudden transition event index data sets based on the analysis results, and calculate the regional drought-flood sudden transition event intensity index of the monitoring and early warning area based on the drought-flood sudden transition event index data sets; An information acquisition module, used to determine a first collection time point from multiple collection time points, and to obtain standardized precipitation information of the monitoring and early warning area with the first collection time point as a reference time point, wherein the standardized precipitation information includes standardized precipitation information of the first 30 days and the last 30 days of the reference time point; A coefficient calculation module, used to calculate the regional meteorological drought-flood transition event relationship coefficient of the monitoring and early warning area based on the standardized precipitation information and the regional drought-flood transition event intensity index; The event judgment module is used to judge the sudden transition events in the monitoring and early warning area according to the regional meteorological drought-flood sudden transition event relationship coefficient, and issue meteorological monitoring and early warning in real time, wherein the sudden transition events include drought-to-flood events, flood-to-drought events and normal state events.

10. The regional meteorological drought-flood sudden change event monitoring and early warning system according to claim 9 is characterized in that: Also includes: A data cleaning module, used for cleaning all drought-flood sudden change event indicator data, wherein the data cleaning includes deleting invalid indicator data, duplicate indicator data and erroneous indicator data in the drought-flood sudden change event indicator data; The data extraction module is used to extract the drought-flood rapid transition event indicator data after data cleaning, wherein the data extraction includes classifying the cleaned drought-flood rapid transition event indicator data according to data categories.

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