Stream type big data processing mode-based rainfall runoff prediction calculation method

A big data processing, rainfall runoff technology, applied in the direction of electrical digital data processing, special data processing applications, calculations, etc., can solve the problems of computing capacity bottlenecks, increased calculations, etc.

Active Publication Date: 2017-02-22
HOHAI UNIV
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Problems solved by technology

The traditional computer calculation method of runoff calculation cannot meet the requirements of data calculation capability for practical applications. This is due to the complexity of runoff calculation and the need to obtain high-precision calculation results, which requires smalle...

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  • Stream type big data processing mode-based rainfall runoff prediction calculation method
  • Stream type big data processing mode-based rainfall runoff prediction calculation method
  • Stream type big data processing mode-based rainfall runoff prediction calculation method

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Embodiment Construction

[0053] Below in conjunction with specific embodiment, further illustrate the present invention, should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand various equivalent forms of the present invention All modifications fall within the scope defined by the appended claims of the present application.

[0054] The rainfall runoff prediction calculation method based on streaming big data processing method firstly designs a timely sub-basin forecasting algorithm based on real-time water volume and a flood forecasting algorithm based on SCS model, and then uses streaming big data processing to process these two algorithms.

[0055] Principles of watershed division and section flow calculation

[0056] By dividing the large and medium watersheds into different sub-basins, the runoff of each sub-basin...

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Abstract

The invention discloses a stream big data processing mode-based rainfall runoff prediction calculation method. Medium and large-scale basins are logically divided into different sub-basins, so that the performance problem of an SCS model and an improved SCS model in real-time flood forecast of the medium and large-scale basins is solved through parallel computing of the sub-basins in combination with real-time monitored cross section flow of the sub-basins in a stream type big data processing mode.

Description

technical field [0001] The invention relates to a rainfall runoff forecasting calculation method based on a streaming big data processing method, and the technical field of rainfall runoff forecasting. Background technique [0002] All over the world, flood disasters continue to occur every year. Until today, the research and prediction of flood is still an important topic of continuous research in engineering and academia. Among them, rainfall runoff prediction is an important part of flood forecasting. Among the more rainfall runoff prediction models, the SCS (Soil Conservation Service) model is currently one of the most widely used models. The SCS model is suitable for agricultural small watersheds that lack detailed rainfall process data because of its simple calculation process, fewer parameters involved in calibration, and easy access to the required data. It also takes into account the runoff generation of the underlying surface such as soil, vegetation, and land use ...

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/20Y02A10/40
Inventor 王慧敏李臣明彭建华赵嘉黄晶刘高峰
Owner HOHAI UNIV
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