Urban rainstorm intensity calculation method and system based on spatial-temporal distribution characteristics, equipment and storage medium

Abstract

The invention discloses an urban rainstorm intensity calculation method and system based on spatial-temporal distribution characteristics, equipment and a storage medium. The method comprises the steps: constructing a regional meteorological model, simulating any rainfall event process and urban-scale gridding rainfall intensity spatial-temporal distribution, then performing rainfall simulation by using the regional meteorological model to obtain historical rainfall time sequence data and / or future rainfall time sequence data of each simulation grid unit, finally, respectively calculating historical rainstorm intensity and / or future rainstorm intensity, and performing rainstorm intensity calculation through simulation data based on the regional meteorological model. The method not only can be well suitable for areas where rainfall records are not enough to support rainstorm intensity analysis, but also can be applied to prediction of the change process of urban design rainstorm intensity in different periods in the future under the background of climate change. A fine design and evaluation tool is provided for the design of an urban wading system, urban flood control and drainage, sponge city construction and the like.

Description

Technical field [0001] The present invention relates to the field of urban drain and flushing technology, and in particular, a urban heavy rain intensity calculation method and system, a device, and a computer-readable storage medium based on spatial distribution characteristics. Background technique [0002] The design of heavy rain is the important basis and premise and premise and premise of the development of water-related system in urban construction in my country. It is scientific and reasonable, whether the urban rainfall feature and law can directly affect the foundation of urban drainage and flood control. The facility construction and the planning and construction of sponge urban construction, which in turn affect the construction of investment in the construction of the entire drainage project, as well as the efficiency of the system. After decaded practice formulas, my country's heavy rain intensity formula has been improved, and the accuracy of heavy rain intensity f...

AI Technical Summary

Problems solved by technology

However, the number of meteorological monitoring stations in most cities in my country is small, the construction time is short, and the rainfall data records have problems such as long time intervals, uneven quality, and missing data, which greatly affects the applicability of the traditional rainstorm intensity formula.

At present, most cities only compile urban rainstorm intensity formulas based on a single rainfall monitoring station, and have not considered the differences in the spatial distribution of rainfall at the urban scale in the compilation of urban rainstorm intensity formulas. The rainstorm division was carried out, but it was still based on the rainfall records of multiple meteorological stations in the city. Factors such as the number and distribution of rainfall monitoring stations, the integrity, rationality and representativeness of rainfall data historical records have a greater impact on the results; At the same time, in the division of rainstorm divisions, the influence of terrain, underlying surface and other factors are not considered, which can easily cause distortion in some areas

In addition, the urban drainage and waterlogging prevention system and sponge city system designed based on the rainstorm intensity formula usually need long-term service after completion. Therefore, the urban drainage and waterlogging prevention system and sponge city system planning and design should include future urban rainfall characteristics. However, the formulation of traditional rainstorm intensity formulas is based on historical rainfall records, which can only reflect the current urban rainfall characteristics, and lack the prediction of urban rainfall characteristics changes in the future under the background of climate change

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