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Method of super-long term reservoir inflow forecasting

A technology of water inflow forecasting and reservoir, applied in the field of information forecasting, can solve the problems of lack of systematic application, low precision, single index, etc., and achieve the effects of huge flood control and disaster reduction benefits, improved precision, and huge power generation benefits.

Active Publication Date: 2015-06-24
STATE GRID CORP OF CHINA +2
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AI Technical Summary

Problems solved by technology

[0003] At present, most of the methods for long-term forecasting of reservoir inflows are statistical methods, and a few also use astronomical indicators, but most of them use a single indicator, which has not formed a systematic application, and the accuracy is not high

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  • Method of super-long term reservoir inflow forecasting

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Embodiment Construction

[0012] like figure 1 As shown, this method of ultra-long-term reservoir inflow forecasting includes the following steps:

[0013] (1) Determine the factors for the forecast of water inflow to the reservoir. Based on the characteristics of the sun, earth and moon orbits, solar radiation energy, and lunar tidal force, 24 solar terms (beginning of spring, rain, Jingzhe, vernal equinox, Qingming, Grain Rain, Lixia, Xiaoman, Eargrain, Summer Solstice, Minor Heat, Great Heat, Beginning of Autumn, End of Heat, White Dew, Autumnal Equinox, Cold Dew, Frost Descent, Beginning of Winter, Light Snow, Heavy Snow, Winter Solstice, Minor Cold, Great Cold) the lunar calendar time and the type of Beginning of Spring (the number of "Lichun" in the lunar calendar year, empty 28 astronomical and related indicators such as spring, single spring, and double spring), leap month, relative number of sunspots, and lunar declination angle;

[0014] (2) Establish a similarity comparison model for the 24...

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Abstract

The invention discloses a method of super-long term reservoir inflow forecasting. The method adopts multiple indexes and comprehensively takes the indexes into account, so accuracy is greatly improved, and the method can be effectively applied to reservoir scheduling for beneficial use and flood control scheduling and creates great power benefits for enterprises and huge flood control and disaster reduction benefits for the society. The method of super-long term reservoir inflow forecasting includes the steps that firstly, factors for reservoir inflow forecasting are determined, 28 astronomical and related indexes such as lunar calendar time when 24 solar terms happen, the Beginning Day of Spring, an intercalary month in the lunar calendar, the relative sunspot number and the declination of the moon are selected based on the sun, earth, moon moving trajectory characters, the solar radiation energy and the lunar tide-generating force; secondly, a 24 solar term process similarity comparison model is established; thirdly, a calendar aid decision making model is established; fourthly, an astronomy factor aid decision making model is established.

Description

technical field [0001] The invention relates to the technical field of information forecasting, in particular to a method for super-long-term reservoir water forecasting. Background technique [0002] Reservoir water forecasting, especially long-term forecasting and ultra-long-term forecasting, is difficult and has low precision, making it difficult to put it into production. Therefore, the current reservoir operation generally adopts the principle of "based on the forecast of falling rain and taking the long-term forecast as a reference". However, regardless of the requirements of power generation and flood control, there is an urgent need for high-precision long-term water inflow forecasting, so that the reservoir can take risk pre-control scheduling in advance, reduce the loss caused by the flood discharge of the reservoir, and increase power generation. [0003] At present, most of the methods for long-term forecasting of reservoir inflow are statistical methods, and a ...

Claims

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Application Information

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IPC IPC(8): E02B1/00
CPCE02B1/00
Inventor 李文龙路振刚郭希海李秀斌王永峰王进田文明牛志伟
Owner STATE GRID CORP OF CHINA
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