Precipitation classification method and system

A classification method and technology of precipitation types, applied in the field of precipitation classification methods and systems based on logistic regression, can solve the problems of low execution efficiency and uneven distribution of precipitation intensity, so as to ensure safety, improve safety analysis and safety early warning capabilities, and improve accuracy. The effect of sexuality and efficiency

Pending Publication Date: 2018-03-16
CHINA ELECTRIC POWER RES INST +2
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Problems solved by technology

[0004] The current precipitation scheme is only applicable to the average situation. Since the distribution of each precipitation intensity is uneven and changes with time, the raindrop spectrum

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  • Precipitation classification method and system
  • Precipitation classification method and system

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Embodiment Construction

[0053] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0054] A precipitation classification method and system proposed by the present invention introduces the logistic regression scheme commonly used in the field of machine learning, optimizes the problems of low operating efficiency and poor accuracy of traditional methods, and can greatly improve operating efficiency and classification accuracy. In turn, the accuracy of hydrological forecasting is improved, and it has a good supporting effect on the operation and dispatch of hydropower stations and the disaster prevention and mitigation early warning of the power grid.

[0055] Such as figure 1 with figure 2 As shown, the specific steps are as follows:

[0056] S1 collects precipitation observation data in the historical precipitation data of the self-defined area;

[0057] The precipitation observation data includes ...

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Abstract

The invention relates to a precipitation classification method and system. The method comprises the steps that precipitation observation data is collected; based on radar reflectivity factors and Doppler velocities, the precipitation observation data is classified, and precipitation types are obtained; a Z-I relational model corresponding to the precipitation types is constructed, wherein Z refersto the radar reflectivity factors, and I refers to rainfall intensity; and the Z-I relational model is utilized to perform precipitation classification on to-be-classified data. Through the scheme, the precipitation types can be classified quickly through radar data, therefore, an accurate Z-I expression can be obtained, and the accuracy and efficiency of radar quantitative precipitation estimation are improved.

Description

technical field [0001] The invention belongs to the technical field of electric meteorology, and in particular relates to a precipitation classification method and system based on logistic regression. Background technique [0002] The timely acquisition and accurate estimation of the regional distribution of surface precipitation is of great significance. Floods and droughts caused by excessive and insufficient precipitation can cause great loss of property and life. For river basins, reservoirs and other places, precipitation has an important reference value for river flow in the basin, reservoir water regime, and flood forecasting. [0003] At present, the surface precipitation is mainly obtained from the observation of the surface automatic rainfall station. However, the density of rain gauges is far from enough at present, lacking spatial representation, and it is easy to miss the phenomenon of heavy precipitation and heavy rain centers, especially in remote areas. The...

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Application Information

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IPC IPC(8): G06F17/18G06Q10/04G06Q50/06G01S13/95
CPCG01S13/95G06F17/18G06Q10/04G06Q50/06Y02A90/10
Inventor 李明妍靳双龙冯双磊王勃王伟胜刘纯胡菊刘晓琳宋宗朋马振强滑申冰王姝
Owner CHINA ELECTRIC POWER RES INST
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