CN115017209A - Integrated batch processing system for meteorological drought indexes with different time scales - Google Patents
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Abstract
The invention relates to the technical field of weather, and provides a weather and drought index integrated batch processing system with different time scales. The integrated batch processing system for the meteorological drought indexes with different time scales is convenient to manage, the automatic processing method enables the automatic computing system to automatically perform data processing and draw images, complicated calculation is not needed for specially-assigned persons, personnel burden is reduced, 12 common meteorological drought index computing methods are integrated and compiled and classified, different standardized drought indexes can be compared with one another, and the application of the integrated batch processing system is flexible and sensitive.
Description
Technical Field
The invention relates to the technical field of meteorology, in particular to a meteorology drought index integrated batch processing system with different time scales.
Background
With global warming, weather drought severity and frequency increase, significant weather drought events are increased obviously, weather drought indexes are measures for weather drought degree and are important indexes for evaluating weather drought, the weather drought indexes are used for monitoring and evaluating the water deficit degree in a certain time period in a certain region by utilizing weather elements according to a certain principle to calculate values, the weather drought indexes are helpful for various actions at present by quantifying the severity degree and announcing the start and the end of the weather drought, including weather drought monitoring, prediction, evaluation, decision-making services and the like.
Due to the fact that the meteorological drought index calculation principle is different from the meteorological factors, and the additional climate types are various, the meteorological drought evaluation calculation has the following difficulties: (1) most weather drought index data have high requirements and are difficult to process, (2) different weather drought indexes are suitable for different regions, climates and time periods due to the complex characteristics of the drought and the wide-spread characteristics of the drought affecting the society, and the evaluation of a single weather index is more biased, (3) the reaction of some drought indexes on the drought is not accurate and sensitive enough, and the result is possibly different from the actual situation.
Disclosure of Invention
Based on the above, there is a need to provide an integrated batch processing system for meteorological drought indexes with different time scales.
The integrated batch processing system for the meteorological drought indexes with different time scales comprises a meteorological drought index calculation method, a method classification module, a data preprocessing module, an EXCEL, a batch calculation module, a Matlab App Designer, a result display module and an automatic storage module, wherein the meteorological drought index calculation method comprises a meteorological drought index calculation method.
The first purpose is to integrate the current main weather drought index into an operation interface, so that data processing can be automatically carried out, the burden of a calculator is reduced, and calculation errors are avoided.
The technical scheme for realizing the first purpose is as follows: a batch automatic calculation system comprises a method classification module, a data preprocessing module, a batch calculation module, a result display module and an automatic storage module, wherein the method classification module integrates 12 main meteorological drought indexes and is divided into a standardized drought index and a non-standardized drought index;
the method for calculating the standardized meteorological drought index comprises a standardized rainfall index (SPI), a standardized rainfall evapotranspiration index (SPEI), a standardized weighted average rainfall index (SWAP), an evaporation demand index (EDDI), a drought detection index (RDI) and a Z index (Z);
the non-normalized calculation methods include a dryness index (AI), a Surface Wetting Index (SWI), a precipitation range average percentage (Pa), a relative wetting index (MI), a precipitation temperature normalization index (Is), and a K-index (K).
The method comprises the steps that a classification module transmits calculated data to a data preprocessing module, and the data preprocessing module automatically arranges meteorological element data into a standardized input file.
And the data preprocessing module transmits the sorted data to EXCEL, and the EXCEL realizes the processing function of the data.
The processed data are transmitted to a batch calculation module and a Matlab App Designer, the batch calculation module and the Matlab App Designer automatically calculate the data in batches, and the batch calculation module is written by the Matlab App Designer.
Because the data volume is huge, the data preprocessing module and the automatic storage module adopt Matlab and Excel combined interaction, and the data processing and calculating efficiency is improved.
And the data after batch processing by the batch calculation module and the Matlab App Designer are transmitted to a result display module, and the result display module displays the result into a digital format and an image format.
And the batch calculation module and the Matlab App Designer synchronously transmit the data after batch processing to the automatic storage module, and the automatic storage module automatically stores the calculation result and the image.
The second purpose is to provide a comparison method among different weather drought indexes, and operators can select certain weather drought indexes to use according to actual conditions.
A comparison method for different weather drought indexes is characterized in that operators can select certain weather drought indexes for use according to actual conditions.
The technical scheme for realizing the second purpose is as follows: the comparison of different weather drought indexes comprises the following steps;
ninthly, inputting meteorological element data;
site data is input in the R;
and ending until all the weather drought indexes meeting the requirements are selected.
The third purpose is to ensure that the response of the weather drought index to drought becomes sensitive and to allow the drought conditions in different regions to be compared with each other.
The technical scheme for realizing the third purpose is as follows: the weather drought indexes of different time scales are calculated, and the results of the time scales of the standardized weather drought indexes SPI, SPEI, SWAP, EDDI, RDI and Z indexes of 1 month, 2 months, 3 months, 4 months, 5 months, 6 months, 7 months, 8 months, 9 months, 10 months, 11 months and 12 months are calculated, so that the drought control system is sensitive to the drought, can reflect the space-time distribution of the drought of multiple time scales, and the frequency, degree and the like of the drought characterized by the standardized drought weather indexes can be compared with one another in different regions.
Furthermore, the weather drought index of multiple meteorological elements Is also taken into account, AI, SWI, Z indexes, Is, MI and K indexes are calculated, and other factors such as evaporation, air temperature and the like are also considered besides the main influence factor precipitation of drought, so that the method Is more comprehensive and accurate.
Integrating the meteorological drought indexes with different time scales into a batch processing system;
(1) the automatic batch computing system is convenient to manage, the automatic processing method enables the automatic computing system to automatically process data and draw images, complicated computation by a specially-assigned person is not needed, and the burden of personnel is reduced.
(2) 12 common meteorological drought index calculation methods are integrated and compiled and classified, and different standardized drought indexes can be compared with each other, so that the application of the method is flexible and sensitive.
(3) An error detection mechanism is established, the accuracy is improved, data errors can be effectively avoided, the processing process can be seen at any time, the data processing such as addition, deletion and check can be immediately displayed on the corresponding page, and the functions of instant reading and instant effect can be achieved.
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FIG. 1 is a schematic flow diagram of a scale module of the method of the present invention;
FIG. 2 is a schematic flow chart of the batch automatic calculation system of the present invention;
FIG. 3 is a schematic view of the comparison process of different weather drought indexes. .
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
Reference in the specification to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the specification. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
A meteorological drought index integrated batch processing system with different time scales comprises a meteorological drought index calculation method, a method classification module, a data preprocessing module, EXCEL, a batch calculation module, a Matlab App Designer, a result display module and an automatic storage module, wherein the meteorological drought index calculation method comprises a meteorological drought index calculation method.
In order to further improve the technical level of drought monitoring, prediction, evaluation, decision service and the like, the weather drought indexes are taken as objects, the common weather drought indexes are integrated, automatic batch calculation and classification can be carried out, the weather drought indexes are divided into standardized weather drought indexes and non-standardized weather drought indexes, and the standardized weather drought indexes can be compared with each other, so that the drought conditions of different regions can be evaluated and compared.
Example 1: as shown in fig. 2, the 12 weather drought index calculation methods include 12 weather drought index calculation methods, the weather drought index is classified into 6 standardized weather drought index calculation methods and 6 non-standardized calculation methods by the method classification module, the standardized weather drought index includes a time scale of 1-12 months, the weather element data is automatically arranged into a standardized input file by the data preprocessing module, the EXCEL4 realizes the data processing function, the batch calculation module and the Matlab App Designer automatically calculate the data in batches, the result is displayed into a digital format and an image format by the result display module, so that an operator can conveniently select the weather drought index and detect errors, and the calculation result and the image are automatically stored by the automatic storage module.
The method for calculating the standardized meteorological drought index comprises a standardized rainfall index (SPI), a standardized rainfall evapotranspiration index (SPEI), a standardized weighted average rainfall index (SWAP), an evaporation demand index (EDDI), a drought detection index (RDI) and a Z index (Z);
non-standardized calculation methods include a dryness index (AI), a Surface Wetting Index (SWI), a precipitation range average percentage (Pa), a relative wetting index (MI), a precipitation temperature homogenization index (Is), and a K index (K).
Example 2: as shown in fig. 3, the comparison steps of different weather drought indexes:
1) firstly, reading standard meteorological element data including precipitation, temperature, wind speed and the like by a single station;
2) selecting a weather drought index calculation method, wherein the weather drought index calculation method is divided into a standardized weather drought index and a non-standardized weather drought index, and the standardized weather drought index comprises a time scale of 1-12 months;
3) automatically calculating weather drought index, Matlab language;
4) displaying a calculation result by using a table, checking and detecting by an operator;
5) drawing an annual value change image, a monthly value change image and other time scale change images, displaying by using a coordinate axis, comparing different weather drought index images, selecting weather drought indexes which are in line with the actual weather drought index for evaluating drought, if the weather drought indexes are not in line with the actual weather drought index, returning to the step 2, otherwise, continuing;
6) automatically outputting images and calculation results;
7) performing multi-site automatic batch processing by using the selected meteorological drought index;
and (6) ending.
Furthermore, the weather drought index is ensured to be sensitive to the response of drought, and the drought conditions of different areas can be compared with each other.
The weather drought indexes of different time scales are calculated, and the results of the time scales of the standardized weather drought indexes SPI, SPEI, SWAP, EDDI, RDI and Z indexes of 1 month, 2 months, 3 months, 4 months, 5 months, 6 months, 7 months, 8 months, 9 months, 10 months, 11 months and 12 months are calculated, so that the drought control system is sensitive to the drought, can reflect the space-time distribution of the drought of multiple time scales, and the frequency, degree and the like of the drought characterized by the standardized drought weather indexes can be compared with one another in different regions.
Furthermore, the meteorological drought index of multiple meteorological elements Is also included, and AI, SWI, Z index, Is, MI and K index are calculated. Besides the main influence factor of drought, such as precipitation, other factors such as evaporation and air temperature are also considered, so that the drought control method is more comprehensive and accurate.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above examples only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (8)
1. The utility model provides an integrated batch processing system of different time scale meteorological arid indexes, includes meteorological arid index computational method, method classification module, data preprocessing module, EXCEL, batch calculation module, Matlab App Designer, result display module, automatic save module, its characterized in that: the weather drought index calculation method comprises 12 weather drought index calculation methods.
2. A batch automated computing system, comprising: the method classification module classifies the weather drought index into 6 standardized weather drought index calculation methods and 6 non-standardized calculation methods, the standardized weather drought index comprises a time scale of 1-12 months, and the method classification module performs differentiation processing calculation on collected data;
the method for calculating the standardized meteorological drought index comprises a standardized rainfall index (SPI), a standardized rainfall evapotranspiration index (SPEI), a standardized weighted average rainfall index (SWAP), an evaporation demand index (EDDI), a drought detection index (RDI) and a Z index (Z);
the non-normalized calculation methods include a dryness index (AI), a Surface Wetting Index (SWI), a precipitation range average percentage (Pa), a relative wetting index (MI), a precipitation temperature normalization index (Is), and a K-index (K).
3. The method of claim 2, further comprising: the method comprises the steps that a classification module transmits calculated data to a data preprocessing module, and the data preprocessing module automatically arranges meteorological element data into a standardized input file.
4. The method of claim 3: and the data preprocessing module transmits the sorted data to EXCEL, and the EXCEL realizes the processing function of the data.
5. The method of claim 4, wherein: and the processed data are transmitted to a batch calculation module and a Matlab App Designer, and the batch calculation module and the Matlab App Designer automatically calculate the data in batches.
6. The method of claim 5, wherein: the data after batch processing by the batch calculation module and the Matlab App Designer are transmitted to a result display module, and the result display module (7) displays the result into a digital format and an image format.
7. The method of claim 6, wherein: and the batch calculation module and the Matlab App Designer synchronously transmit the data after batch processing to the automatic storage module, and the automatic storage module automatically stores the calculation result and the image.
8. A method for comparing different weather drought indexes is characterized in that: the different weather drought index comparison method comprises the following steps that operators can select certain weather drought indexes to use according to actual conditions;
inputting meteorological element data;
inputting station data;
thirdly, selecting a meteorological drought index calculation method to perform single-site calculation;
fourthly, drawing a weather drought index change chart;
comparing images with different weather drought indexes according to a time image comparison method;
judging according to the actual situation, if the result is consistent, then going to the next step, if not, returning to the step 3;
selecting the meteorological index and calculating the meteorological index in batches at multiple sites;
outputting results and returning to the step 3 for circulation;
and ending until all the weather drought indexes meeting the requirements are selected.
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