A method for evaluating waterlogging risk of rainwater drainage system

Abstract

The invention discloses a rainwater drainage system waterlogging risk assessment method, comprising the following steps: (1) a certain number of rainfall events are selected from the historical rainfall data according to the heavy rain standard in the meteorological standard; (2) on the basis of the traditional rainfall event characteristic parameters, the rainfall event characteristic parametersreflecting the influence of rainfall heterogeneity on drainage system are added; (3) according to the characteristic parameters of rainfall events to evaluate the waterlogging sensitivity of the drainage system, the waterlogging sensitivity parameters of the drainage system are selected and the threshold value of the rainfall sensitivity parameters of the waterlogging occurrence is determined to obtain the failure region of the waterlogging occurrence of the drainage system; (4) the rainfall probability density function is established to describe the probability distribution of rainfall with the rainfall sensitivity parameter as the characteristic parameter; (5) according to the integral of the rainfall probability density function in the failure region of the drainage system in step (3),the probability of the rainfall characteristic parameters appearing in the failure region is calculated, and the probability of internal waterlogging of the drainage system is obtained.

Description

technical field [0001] The invention relates to the technical field of performance evaluation of rainwater drainage systems and design schemes, in particular to a method for evaluating the risk of waterlogging in rainwater drainage systems. Background technique [0002] The urban rainwater drainage system is responsible for discharging rainfall runoff and preventing waterlogging. The design calculation of the drainage system is generally carried out according to the rainfall in different return periods, and the default is that the rainfall in the confluence time is not uniform during the design calculation, which is quite different from the real random rainfall. Therefore, when completing the design of the drainage system, it is important to optimize the design of the drainage system and improve the operation of the drainage system by how to better consider the actual situation of random and uneven rainfall, and carry out targeted assessment and waterlogging risk calculation...

AI Technical Summary

Problems solved by technology

[0003] At present, there are several methods for drainage system performance evaluation and waterlogging risk calculation. One is to design rain patterns based on the rainfall obtained from the I-D-F curve, and form a design storm for drainage system drainage performance evaluation and waterlogging risk calculation. However, the commonly used Chicago Rain pattern The peak rain intensity of the Chicago rain pattern is too high, which is too safe in design and evaluation

The triangular rain pattern is significantly affected by the duration, and cannot effectively highlight the role of peak rainfall intensity, which affects the reliability of design and evaluation

[0004] However, the above method requires a large amount of data, and the calculation cost is high. The calculation of risk probability depends on the continuity and long-term of rainfall data, and the adaptability is poor.

Images