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Typhoon near-surface wind eye radius identification method based on measured data of weather station

A technology of measured data and identification method, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve the problems of inability to accurately identify the radius of the typhoon eye radius, difficult to model accurately, large errors, etc., to avoid Iterative or partial differential equation calculation process, cost saving, and the effect of reducing social and economic losses

Inactive Publication Date: 2018-04-20
HARBIN INST OF TECH +1
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] (1) For the static model, the identification of these model parameters is overly dependent on the data of the 7-level wind circle and the 10-level wind circle
However, the data provided by the Meteorological Department for the wind circle of level 7 and level 10 deviates greatly from the actual situation, which also makes this type of model unable to accurately identify the radius of the most destructive typhoon eye.
[0006] (2) For the dynamic model, although the aerodynamic equation is considered in the dynamic model, it can better reflect the multi-dimensional aerodynamic characteristics of the typhoon than the static model, but there are many parameters that need to be set in advance in this type of model , the model is difficult to accurately model
Such a wind field model often has large errors after being converted to the ground, and cannot be directly applied to the disaster damage assessment of transmission lines and iron towers

Method used

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  • Typhoon near-surface wind eye radius identification method based on measured data of weather station
  • Typhoon near-surface wind eye radius identification method based on measured data of weather station
  • Typhoon near-surface wind eye radius identification method based on measured data of weather station

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Embodiment 1

[0036] A method for identifying the radius of a typhoon's near-surface eye radius based on measured data from a weather station, comprising the following steps:

[0037] Step 1: When the shortest distance from the center of the typhoon to the land is less than 100 kilometers, start the identification function of the radius of the typhoon eye;

[0038] Step 2: Screen the surface meteorological stations within a typhoon radius of 150 kilometers for identification of the typhoon's near-surface eye. The selected ground automatic weather station i should meet the following four characteristics at the same time:

[0039] a) The distance L between the surface automatic weather station i and the typhoon center i Top 30% of all surface weather stations;

[0040] b) The altitude of ground automatic weather station i should be less than 100 meters;

[0041] c), the ground automatic weather station i should be located inland to avoid the influence of sea breeze;

[0042] d) The maximu...

Embodiment 2

[0050] The effectiveness of this method is verified by using an example of real typhoons causing damage to power grid transmission towers. In 2016, the super typhoon Meranti (No. 1614) caused extremely serious damage to the power grid of my country's coastal province F. image 3It is a schematic diagram of typhoon Meranti passing through the F province power grid and the affected area, and the geographical location of the automatic weather station on the ground is also marked in the figure.

[0051] Depend on image 3 It can be seen that typhoon Meranti approached City X in Province F at 1:00 in the morning, and its 10-level wind circle has a radius of 80 kilometers, covering a large area of ​​the power grid in Province F. At this time, a total of 87 ground automatic stations were relatively close to the center of the typhoon. The wind speed measured by the weather station increased rapidly at 3:00. By 6:00 when Typhoon Meranti had basically left City X, a total of 8 bases ...

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Abstract

The invention provides a typhoon near-surface wind eye radius identification method based on measured data of a weather station. Against the problems of large deviation between the traditional typhoonstatic model and dynamic model calculation results and actual changes in a near-surface wind field and the calculation consumes time, the measured extreme wind speed of a ground automatic weather station during a strong typhoon serves as a data source, the weight is designed by depending on the distance between the automatic weather station and the center of the typhoon, and the radius of a windeye is calculated quickly by weighting. According to the typhoon near-surface wind eye radius identification method, dynamic changes of a near-surface typhoon wind eye area during the strong typhoon can be effectively restored, thereby being favorable for quick locking of an electric transmission line in a wind eye coverage area by a power grid dispatching operation department and disaster damageevaluation.

Description

technical field [0001] The invention relates to a method for identifying the radius of a typhoon's eye near the ground based on the measured data of a weather station. Background technique [0002] Typhoon is a natural disaster that can cause huge structural damage to the power grid. Affected by strong typhoons, the power grids in the Gulf of Mexico region of the United States, the power grids in the eastern region, and the power grids in the southeastern coastal areas of my country are the most vulnerable power grids in the world to be damaged by typhoons. For a regional power grid under a strong typhoon environment, the extremely high wind speed and large-scale rainfall of the typhoon can easily cause permanent failure of electrical equipment components in the power grid. For typhoons, the eye of the typhoon is the area with the strongest wind force, and the wind speed of the typhoon reaches the maximum at the edge of the eye. Therefore, the structural damage of the eye o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCG06F30/20
Inventor 陈彬王松岩于继来舒胜文张明龙王国彬钱健易弢
Owner HARBIN INST OF TECH
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