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

A technology of urban waterlogging and simulation methods, applied in data mining, structured data retrieval, electrical digital data processing, etc., can solve problems such as poor applicability, low computing efficiency, and strong dependence on basic data

Pending Publication Date: 2021-02-12
PEARL RIVER HYDRAULIC RES INST OF PEARL RIVER WATER RESOURCES COMMISSION
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AI Technical Summary

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

Method used

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

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Embodiment 1

[0071] With the continuous enrichment of monitoring methods, the data related to waterlogging has increased geometrically. If based on the data mining method, making full use of the current data and establishing a direct relationship between rainfall and waterlogging, the running time of the waterlogging model can be greatly shortened, and the effectiveness and reliability of waterlogging simulation can be improved.

[0072] This embodiment provides a multi-factor urban waterlogging simulation method based on data mining, which is based on the equivalent residual rainfall (net rainfall) obtained after deducting / adding factors such as terrain, evaporation, infiltration, drainage and river water level Based on the flood inundation amount, and the principle that the flood inundation amount can be related to the water depth through the topography, five factors are selected: topography, evaporation, infiltration, drainage and river water level at the location of the waterlogging bla...

Embodiment 2

[0121] This embodiment provides a multi-factor urban waterlogging simulation method based on data mining, the method includes the following steps:

[0122] 1) Collect the historical rainfall and water accumulation data of a certain waterlogging black spot. A total of three historical events were collected, as shown in Table 1 below.

[0123] Table 1

[0124]

[0125]

[0126] Collect the basic data of this waterlogging black spot, set the confluence delay time threshold to 0-2, the confluence increase threshold to 0-1, the evaporation value threshold to 0-0.3, and the infiltration value threshold to 0~20, the value of drainage value is 0~10.

[0127] 2) The parameters are trained based on these three historical events, and the calculated optimal parameter values ​​are: the confluence delay time is 0.2, the confluence increase is 0.2, the evaporation value is 0.1, the infiltration value is 10.5, and the drainage value is 6. The correlation between the maximum net rain a...

Embodiment 3

[0154] Such as image 3 As shown, the present embodiment provides a multi-factor urban waterlogging simulation device based on data mining. The device includes a data acquisition module 301 and a model building module 302. The specific functions of each module are as follows:

[0155] The data acquisition module 301 is used to acquire historical rainfall and water accumulation data of waterlogging black spots as training data.

[0156] The model construction module 302 is used to obtain the cumulative net rain value through the deduction / increase of each factor to the rainfall process by using the data mining method based on the value range of the five factor values ​​according to the training data, and reversely obtains the total net rain and A set of factor values ​​with the highest fitting degree of waterlogging depth, and establish the correlation relationship between total net rain and waterlogging depth, and construct a multi-factor correlation urban waterlogging simulat...

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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...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G06F16/2458G06F16/29
CPCG06F30/20G06F16/2465G06F16/29G06F2216/03
Inventor 杨跃潘璀林范光伟张水平安雪陈伟昌赵平胡志豪
Owner PEARL RIVER HYDRAULIC RES INST OF PEARL RIVER WATER RESOURCES COMMISSION
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