Refined-grid waterlogging forecasting method

Abstract

The invention discloses a refined-grid waterlogging forecasting method. The method comprises: S1, grid division is carried out on an urban area by using a divided pipenetwork drainage area as a unit and an underlying surface type as a basis; S2, an SCS model is established if the grid area includes a drainage basin, and an SWMM model is established if no riverway drainage basin exists in the gridarea; and S3, a runoff volume of the grid area and a runoff volume of an overflowing node under the current rainstorm weather in city are calculated respectively based on the SCS model and the SWMM model, the overflowing data as parameters are inputted into an LISFLOOD-FP model to simulate a flooding range, a water depth, and a flooding process of the city. According to the method disclosed by theinvention, the urban area is divided into a plurality of grids and calculation is carried out by selecting different models, so that the accuracy of water accumulating forecasting is improved.

Description

technical field [0001] The invention relates to the technical field of urban waterlogging and flooding forecasting, in particular to a method for forecasting urban waterlogging and flooding with fine grids. Background technique [0002] In the application of urban road surface waterlogging and flooding forecast, due to the substantial increase of impermeable ground, the runoff coefficient under the same rainfall conditions increases, the flood peak advances, the flood volume increases, and urban waterlogging caused by heavy rain occurs from time to time. The flooding of rivers and rivers constitutes a huge pressure and also threatens the safety of the city. [0003] At present, the waterlogging forecast in urban areas generally uses hydrological models to forecast the flooding of the entire urban area, which generally includes the following four steps: [0004] (1) Calculation of urban waterlogging runoff [0005] The urban water catchment area is small, the proportion of ...

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Problems solved by technology

[0020] The above four steps of urban waterlogging forecasting are to regard the entire urban area as the object of waterlogging forecasting. When doing urban waterlogging forecasting, the choice of waterlogging forecast model is often subjective. Waterlogging forecast, but due to the large area of ​​the urban area and complex terrain, especially in large cities, the accuracy of the entire urban area’s flooding forecast is low, and it cannot be effectively Using the existing data, the influence of spatial differences cannot be ruled out, so as to achieve more accurate urban waterlogging forecast

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