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Intense rainfall waterlogging and ponding dynamic development process prediction and calculation method based on rainfall patterns

A calculation method and waterlogging technology, applied in the field of geographic information, urban waterlogging monitoring and early warning, and can solve problems such as lack of effective algorithms

Active Publication Date: 2017-05-31
NANJING UNIV OF INFORMATION SCI & TECH
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] The existing rainstorm waterlogging analysis model can show the waterlogging status of the ground after a rainfall, but there is no effective algorithm to intuitively show the dynamic evolution process of land area waterlogging with rainfall time during the rainfall process

Method used

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  • Intense rainfall waterlogging and ponding dynamic development process prediction and calculation method based on rainfall patterns
  • Intense rainfall waterlogging and ponding dynamic development process prediction and calculation method based on rainfall patterns
  • Intense rainfall waterlogging and ponding dynamic development process prediction and calculation method based on rainfall patterns

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Embodiment Construction

[0017] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0018] Assume that in a DEM grid unit of 4*6 (rows and columns are grids with a side length of 100 meters, the same below), a certain rainfall lasted for 3 hours, and the total precipitation was 106.3m 3 , it is now necessary to simulate the ground water situation every hour.

[0019] A forecast calculation method for the dynamic evolution process of rainstorm waterlogging and waterlogging based on rainfall patterns:

[0020] Step 1: Determine the grid cell of the DEM as the calculation unit;

[0021] In this example, the calculation unit is a DEM grid with a side length of 100 meters.

[0022] Step 2: Determine the rain type.

[0023] In this example, the Chicago rain type (the existing mature model, which does not belong to the scope of the present invention) is adopted. The rainfall duration is three hours, and the division time interval...

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Abstract

The invention discloses an intense rainfall waterlogging and ponding dynamic development process prediction and calculation method based on rainfall patterns. The method comprises the following steps of 1, determining a DEM grid unit as a calculation unit; 2, determining the rainfall pattern; 3, determining the water collecting amount of each rainfall process region; 4, according to the actual need of the intense rainfall waterlogging and ponding dynamic development prediction time resolution, scattering the rainfall prediction process into i time intervals, in other words, dividing the rainfall process into i rainfall periods with equal time intervals, and meanwhile determining the rainfall pattern time interval according to the time interval; 5, calculating the ground accumulated water accumulating amount of each period of time; 6, utilizing the DEM-based water collecting region rainfall ponding depth calculation method for calculating the ponding depth of each grid in each period of time, obtaining the regional waterlogging and ponding distribution situation within each period of time, and therefore completely predicting the waterlogging and ponding dynamic development process according to the given time intervals.

Description

technical field [0001] The invention relates to a dynamic evolution process of ground area waterlogging based on rain patterns, and belongs to the technical fields of urban waterlogging monitoring and early warning, and geographic information technology. Background technique [0002] The existing rainstorm waterlogging analysis model can show the status of ground waterlogging after a rainfall, but there is no effective algorithm to intuitively show the dynamic evolution process of land area waterlogging with rainfall time during the rainfall process. The condition of land flooding and waterlogging is affected by the amount of rainfall. The rainfall distribution is different in different time periods of a rainfall process. The rain pattern is a statistical description of the time distribution of rainfall, which can determine the rainfall in different time periods of a rainfall process. Therefore, it is scientific and operable to simulate the dynamic evolution process of rains...

Claims

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Application Information

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IPC IPC(8): G06F19/00
CPCG16Z99/00
Inventor 薛丰昌唐步兴黄敏敏王伟
Owner NANJING UNIV OF INFORMATION SCI & TECH
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