CN-115130394-B - Prediction method for reducing accumulated rainwater quantity of rainwater well by sponge facility based on SWMM

Abstract

The invention relates to a prediction method for reducing accumulated rain water quantity of a rain well of a sponge facility based on SWMM, which comprises the following steps of constructing a rain pipe network hydraulic model of a target area by utilizing SWMM software, generalizing the target area according to terrain trend, selecting a infiltration model and an algorithm model, simulating according to a Chicago rain model, checking by utilizing local rainfall data, analyzing pipe section flow and node water depth to obtain a relation curve of the node water depth and time of the rain well, obtaining accumulated rain water quantity of the rain well within a period of time according to the relation curve, then simulating and predicting accumulated rain water quantity of the rain well after the sponge facility is additionally arranged for a period of time according to the same method, and calculating a difference value of the accumulated rain water quantity under two conditions to characterize the rain water quantity reduced by the sponge facility. The prediction method can effectively solve the problems of complex process, low precision and inaccurate calculation result of the accumulated rainwater quantity of the sponge facility in the existing rainwater well calculation method.

Inventors

• HUANG YOUBAO
• HU HAO
• ZHU SHUGUANG
• Wu Banglei
• QIAN LEI
• Cheng Huaijiang
• LI BAILE
• ZENG QINGWEI

Assignees

• 安徽水安建设集团股份有限公司
• 安徽建筑大学

Dates

Publication Date

20260505

Application Date

20220527

Claims (2)

1. 1. The prediction method for reducing the accumulated rain water amount of the rainwater well by the sponge facility based on SWMM is characterized by comprising the following steps of: s1, constructing a rainwater pipe network hydraulic model of a target area by utilizing SWMM software, generalizing the target area according to terrain trend, and dividing the target area into a catchment area, a rainwater well, a rainwater pipe and a discharge port; S2, selecting a infiltration model and an algorithm model, simulating according to a Chicago rain model device, and checking by utilizing local rainfall data; S3, analyzing the pipe section flow and the node water depth to obtain a relation curve of the rainwater well node water depth and time; S4, obtaining the accumulated rainwater quantity of the rainwater well within the time t1 to t2 according to the relation curve, wherein the accumulated rainwater quantity is as follows: Wherein A is the bottom area of the rainwater well, and H is the depth of the rainwater well ponding; S5, simulating and predicting the accumulated rain water quantity of the rainwater well with the sponge facility according to the same method, and calculating the difference value of the accumulated rain water quantity under two conditions to represent the rain water quantity reduced by the sponge facility.
2. 2. The method for predicting the accumulation of rain water in a catch basin in a SWMM-based sponge facility as recited in claim 1, wherein the infiltration model is Horton and the algorithm model is a motion wave in a SWMM simulation option.

Description

Prediction method for reducing accumulated rainwater quantity of rainwater well by sponge facility based on SWMM Technical Field The invention relates to the technical field of rainwater quantity prediction, in particular to a method for predicting the accumulated rainwater quantity of a rainwater well by a sponge facility based on SWMM. Background The rainwater management model (SWMM) is a dynamic rainfall-runoff simulation model jointly developed by the United states environmental protection agency and a water resource center, and is mainly used for single event or long-term (continuous) simulation of runoff water quantity and water quality in urban areas. The currently known accumulated rainwater quantity of the rainwater well is calculated by obtaining the rainwater pipe section flow according to the upstream catchment area and the local storm intensity formula, and the maximum water depth is calculated by the ultimate strength theory. The method has the advantages that the volume method is adopted for the quantity of the rainwater retained by the sponge facility, errors exist in the selection of the reduction coefficient, and the calculation result is inaccurate. Therefore, there is a need to design a new technical solution to comprehensively solve the problems existing in the prior art. Disclosure of Invention The invention aims to provide a prediction method for reducing accumulated rainwater quantity of a rainwater well by a sponge facility based on SWMM, which can effectively solve the problems of complex process, low precision and inaccurate accumulated rainwater quantity calculation result of the sponge facility in the existing rainwater well accumulated rainwater quantity calculation method. In order to solve the technical problems, the invention adopts the following technical scheme: a prediction method for reducing accumulated rain water amount of a rainwater well by a sponge facility based on SWMM comprises the following steps: s1, constructing a rainwater pipe network hydraulic model of a target area by utilizing SWMM software, generalizing the target area according to terrain trend, and dividing the target area into a catchment area, a rainwater well, a rainwater pipe and a discharge port; S2, selecting a infiltration model and an algorithm model, simulating according to a Chicago rain model device, and checking by utilizing local rainfall data; S3, analyzing the pipe section flow and the node water depth to obtain a relation curve of the rainwater well node water depth and time; S4, obtaining the accumulated rainwater quantity of the rainwater well within the time t1 to t2 according to the relation curve, wherein the accumulated rainwater quantity is as follows: Wherein A is the area of the bottom of the rainwater well, and H is the depth of the accumulated water of the rainwater well. And S5, simulating and predicting the accumulated rain water quantity of the rainwater well with the sponge facility according to the same method, and calculating the difference value of the accumulated rain water quantity under the two conditions to represent the reduced rain water quantity of the sponge facility. In addition, in the simulation option of SWMM, the hypotonic model selects Horton and the algorithm model selects the motion wave. Compared with the traditional calculation method, the prediction method for reducing the accumulated rain water amount of the rainwater wells by the SWMM-based sponge facility provided by the technical scheme can be used for analyzing the maximum water depth and the accumulated rain water amount of each rainwater well more quickly and accurately, calculating the reduced rain water amount after the sponge facility is additionally arranged, providing more convincing data support for improving the drainage capacity of a rainwater pipe network, achieving the effect of improving urban waterlogging, and providing effective decision references for the improvement scheme. Drawings FIG. 1 is a schematic diagram of a study area of the present embodiment; FIG. 2 is a schematic diagram of the study area of the present embodiment; FIG. 3 is a graph showing the water depth of the important nodes in the rebuilt sponge-free facility reproduction period 20a over time; fig. 4 is a graph showing the change of water depth with time of the important node in the reconstruction period 20a of the sponge facility. Detailed Description The present invention will be specifically described with reference to examples below in order to make the objects and advantages of the present invention more apparent. It should be understood that the following text is intended to describe only one or more specific embodiments of the invention and does not limit the scope of the invention strictly as claimed. Examples (1) Study area overview The integral gradient of the research community is 3% -4%, the main land utilization type is a residence, the total occupied area is about 3.88ha, and the total building ar