Multi-factor urban inland inundation simulation method and device based on data mining, equipment and medium

Abstract

The invention discloses a multi-factor urban inland inundation simulation method, device, equipment and medium based on data mining, and the method comprises the steps: obtaining the historical rainfall ponding data of inland inundation black spots, and taking the historical rainfall ponding data as training data; according to the training data, utilizing a data mining method; based on the value ranges of the five factor values, obtaining accumulated net rain values by deducting / increasing the rainfall process through all the factors, obtaining a set of factor values with the highest fitting degree of the total net rain and the waterlogging water depth through backstepping, and establishing the correlation between the total net rain and the waterlogging water depth; constructing to obtaina multi-factor associated urban inland inundation simulation model, wherein the five factors are terrain, evaporation, infiltration, drainage and riverway water level factors. Based on a data mining technology, a multi-factor associated urban inland inundation simulation model is constructed for inland inundation black spots, and model parameters are calibrated by continuously collecting historical rainfall inland inundation data, so that the urgent demand of current urban inland inundation prediction can be met, and scientific decision support is provided for urban inland inundation prevention and control work.

Description

technical field [0001] The invention relates to a multi-factor urban waterlogging simulation method, device, equipment and medium based on data mining, belonging to the field of waterlogging simulation. Background technique [0002] According to a special survey conducted by the Ministry of Housing and Urban-Rural Development on 351 cities in 2010, from 2008 to 2010, 62% of the cities in the country experienced urban waterlogging, and 137 cities had more than three occurrences. Since 2010, Beijing, Shanghai, Guangzhou, Shenzhen, Wuhan, Hangzhou, Changsha, Yangzhou, Nanchang and other cities have frequently suffered from urban waterlogging disasters. According to survey statistics, the above-mentioned waterlogging disasters of different degrees occur basically every year, and urban waterlogging has become a serious problem that plagues the development of domestic cities. [0003] The key link in the prevention and control of urban waterlogging is the simulation of waterl...

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Problems solved by technology

[0005] In view of this, the present invention provides a multi-factor urban waterlogging simulation method, device, equipment and medium based on data mining, which aims at the problems of strong dependence on basic data, low calculation efficiency and poor applicability in traditional waterlogging models. Mining technology, aiming at waterlogging black spots, builds a multi-factor correlation urban waterlogging simulation model, and continuously collects historical rainfall and waterlogging data to calibrate the model parameters, which can meet the urgent needs of current urban waterlogging forecasts, and then provide scientific decision-making for urban waterlogging prevention and control support

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