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Data mining-based sand dust storm data analysis method

A data analysis and data mining technology, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve the problems of low prediction accuracy, less information, and too simple prediction methods, and achieve the effect of high accuracy

Inactive Publication Date: 2017-07-14
INNER MONGOLIA UNIV OF TECH
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AI Technical Summary

Problems solved by technology

Although these studies have applied data mining methods to sandstorm data, most of them have not involved the prediction of sandstorm
A small amount of research on sandstorm prediction also has shortcomings such as low prediction accuracy, too simple prediction methods, and relatively little information.

Method used

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  • Data mining-based sand dust storm data analysis method
  • Data mining-based sand dust storm data analysis method
  • Data mining-based sand dust storm data analysis method

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Embodiment Construction

[0052] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be described in detail below. Apparently, the described embodiments are only some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other implementations obtained by persons of ordinary skill in the art without making creative efforts fall within the protection scope of the present invention.

[0053] The present invention provides a sandstorm data analysis method based on data mining, the flow chart of which is as follows figure 1 shown, including the following steps:

[0054] The present invention provides a kind of sandstorm data analysis method based on data mining, and its improvement is that, described method comprises the following steps:

[0055] (1) Use the CART algorithm in the decision tree to evaluate the sandstorm value;

[0056] (2) Us...

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Abstract

The invention relates to a data mining-based sand dust storm data analysis method. A sand dust storm value is assessed by adopting a CART algorithm in a decision tree method, and the influence of factors such as a monthly average air pressure, a monthly average water vapor pressure, monthly minimum relative humidity, a monthly evaporation amount, a monthly precipitation amount and a monthly average wind speed on average sand dust storm is mainly considered. A decision tree model generated by monthly average sand dust storm division is built, a decision tree model generated by seasonal sand dust storm division is also built, and the two models are adopted for predicting the stand dust storm. Compared with other research achievements, the models built in the method have relatively high correct rate in sand dust storm prediction through analysis.

Description

technical field [0001] The invention relates to a data mining method, in particular to a sandstorm data analysis method based on data mining. Background technique [0002] Sandstorm is a general term for both sandstorm and dust storm. It refers to a weather phenomenon in which a large amount of sand and dust on the ground is drawn into the air by strong winds, making the air particularly turbid, and the horizontal visibility is lower than 1km. It mainly occurs in arid and desertified areas such as North Africa, Southwest Asia, Central Asia, Central Mongolia, Australia and the southwestern United States. Many areas in Northwest my country and North China, as well as individual areas in Northeast China, may have strong or extremely strong sandstorms, but there are only 5 large areas with a total frequency of more than 20 occurrences (according to the data of strong and extremely strong sandstorms in northern my country from 1952 to 2001) : Hexi Corridor with Minqin as the cent...

Claims

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Application Information

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IPC IPC(8): G06F19/00
CPCG06F2219/10G16Z99/00
Inventor 仁庆道尔吉李娜
Owner INNER MONGOLIA UNIV OF TECH