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Flood process type similarity mining and rapid prediction method

A technology of process type and forecasting method, applied in forecasting, instrumentation, climate change adaptation, etc., can solve problems such as neglect, and achieve the effect of improving reliability, facilitating popularization and application, and simple method.

Active Publication Date: 2020-01-24
INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS
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Problems solved by technology

[0004] In addition, the current flood forecast mostly focuses on the two major flood characteristic indicators of flood peak discharge and peak appearance time, but ignores other characteristic indicators of the flood process, such as the frequency of flood events, duration, flood form, peak rise and fall rates, and the number of flood peaks, etc.

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  • Flood process type similarity mining and rapid prediction method
  • Flood process type similarity mining and rapid prediction method
  • Flood process type similarity mining and rapid prediction method

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Embodiment Construction

[0036]The invention proposes a flood process type similarity mining and rapid prediction method. By combining statistical clustering and data mining means, not only the main types of flood process are identified, but also the classification standard and membership degree of flood characteristic indicators are proposed, and the A variety of quantitative relationships between rainfall factors and flood process characteristic indicators are obtained, which provides technical support for basin flood forecasting and development trends, and utilization of rain and flood resources.

[0037] Below will combine the embodiment of the present invention figure 1 , figure 2 , image 3 , to fully describe the technical solution in the embodiment of the present invention, this embodiment selects the Changtaiguan hydrological station in the Huaihe River Basin of my country. Apparently, the described embodiments are only some of the embodiments of the present invention, but not all of them....

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Abstract

The invention relates to a flood process type similarity mining and rapid prediction method. The method comprises the following steps: 1, identifying main types and flood characteristics of a flood process; 2, determining the range and membership standard of each characteristic index under each flood process type; 3, determining a rainfall decision factor and a quantitative relation between the rainfall decision factor and the flood process characteristic index; and 4, predicting a future flood process type according to the rainfall forecast information. Based on a simultaneous period actual measurement flood process, basin flood process characteristic indexes and rainfall decision factors are identified, a typical type of the basin flood process is determined, and technical support is provided for flood type early rapid identification, flood development situation estimation and the like.

Description

technical field [0001] The invention relates to the technical field of flood forecasting, in particular to a flood process type similarity mining and rapid prediction method, which is mainly used for early and rapid identification of flood types, prediction of flood development situation and the like. Background technique [0002] Affected by the East Asian monsoon climate and complex underlying surfaces, the spatio-temporal distribution of water resources in my country is extremely uneven, and floods and droughts coexist and occur frequently. In particular, flood disasters have become the most frequent occurrence of various natural disasters in my country, and the direct economic losses are huge. In the context of global changes and rapid socio-economic development, my country's future runoff situation will become more complex, leading to more prominent problems such as floods and droughts and the contradiction between supply and demand of water resources. Strengthening ear...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/06G06F30/20G06F111/10
CPCG06Q10/04G06Q50/06Y02A10/40
Inventor 张永勇翟晓燕陈俊旭
Owner INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS
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