CN-121992856-A - Rain and flood landscape integration method and system for sponge city guidance

Abstract

The application relates to a method and a system for integrating a rain and flood landscape guided by a sponge city, which relate to the technical field of hydraulic engineering and comprise the steps of obtaining predicted rainfall data, analyzing the predicted rainfall data to determine a landscape drainage speed and a key water accumulation position, controlling preset rain and flood landscape drainage according to the landscape drainage speed, arranging a preset negative pressure extraction device and a preset water pumping drainage device according to the key water accumulation position, obtaining real-time rainfall intensity, and analyzing the real-time rainfall intensity to control the negative pressure extraction device and the water pumping drainage device to drain rainfall to the rain and flood landscape. The application has the effects of improving the precipitation regulation efficiency and optimizing the precipitation regulation effect.

Inventors

• XU KEBIN
• YE LIYING
• YU HUIQIANG

Assignees

• 华滋奔腾建工集团有限公司

Dates

Publication Date

20260508

Application Date

20260331

Claims (8)

1. 1. The integration method of the sponge city-oriented rain flood landscape is characterized by comprising the following steps: obtaining predicted rainfall data; analyzing the rainfall prediction data to determine the landscape drainage speed and the key ponding position; Controlling preset rain and flood landscape drainage according to the landscape drainage speed, and arranging a preset negative pressure extraction device and a preset water pumping drainage device according to the key water accumulation position; acquiring real-time rainfall intensity; and analyzing the real-time rainfall intensity to control the negative pressure extraction device and the water pumping drainage device to drain the rainfall to the rainfall flood landscape.
2. 2. The sponge city directed stormwater landscaping integration method as claimed in claim 1, wherein the step of analyzing the predicted rainfall data to determine the landscaping drainage rate and the key water accumulation location comprises: Data extraction is carried out on the rainfall prediction data to determine regional rainfall prediction, regional rainfall prediction speed and regional rainfall prediction time; Acquiring historical ponding data and historical rainfall data; Analyzing the historical ponding data, the historical rainfall data, the regional predicted rainfall and the regional predicted rainfall speed to determine the regional predicted ponding, the water storage occupation factors and the key ponding positions; And analyzing the regional prediction rainfall time, the water storage occupation factor and the regional prediction water accumulation amount to determine the landscape drainage speed.
3. 3. The sponge city directed stormwater landscaping integration method as claimed in claim 2, wherein the step of analyzing the historical ponding data, the historical rainfall data, the regional predicted rainfall and the regional predicted rainfall rate to determine the regional predicted ponding, the water storage occupancy factor and the key ponding location comprises: Acquiring a regional construction base map and regional water storage parameters; Training a preset water flow deduction model according to the regional water storage parameters, the regional construction base map, the historical rainfall data and the historical ponding data to determine a regional water flow model; Acquiring forward water flow data; Inputting the forward water flow data into a regional water flow model to determine a water storage occupation factor; the water storage occupation factors, the regional predicted rainfall and the regional predicted rainfall speed are input into a regional water flow model to determine the regional predicted water yield and the key water accumulation position.
4. 4. The sponge city directed stormwater landscaping integration method as claimed in claim 2, wherein the step of analyzing the regional predicted rainfall time, the water occupancy factor and the regional predicted water accumulation to determine the landscaping drainage rate comprises: Acquiring the total water storage amount of the landscape; Carrying out data extraction on the water storage occupation factors to determine landscape occupation factors; calculating the product of the total landscape water storage amount and the landscape occupation factor to determine the existing landscape water amount; Calculating the sum of the regional predicted water volumes to determine the total regional water volume; Calculating the product of the total water yield of the area and a preset error safety factor to determine the reserved reserve of the landscape; calculating the difference between the total landscape water storage and the reserved landscape water storage to determine a target residual water amount; non-negative cutoff is performed on the difference between the existing water quantity of the landscape and the target residual water quantity to determine the target water discharge quantity; and calculating the quotient of the target water discharge amount and the regional rainfall prediction time to determine the landscape water discharge speed.
5. 5. The method of claim 1, wherein the step of analyzing the real-time rainfall intensity to control the negative pressure extraction device and the water pumping drainage device to drain the precipitation to the rainfall flood landscape comprises: data extraction is carried out on the real-time rainfall intensity according to a preset sliding extraction window so as to determine the sliding rainfall intensity; Calculating the average value of the sliding rainfall intensity so as to determine the average value of the sliding rainfall intensity; calculating the product of the sliding rain intensity mean value and a preset negative pressure regulating factor to determine a theoretical negative pressure value; and analyzing the theoretical negative pressure value to control the negative pressure extraction device and the water pumping drainage device to drain the precipitation to the rainfall flood landscape.
6. 6. The method of claim 5, wherein analyzing the theoretical negative pressure value to control the negative pressure extraction device and the water pumping drainage device to drain precipitation to the stormwater landscapes comprises: Judging whether the theoretical negative pressure value is larger than a preset maximum negative pressure value or not; If the negative pressure value is larger than the dynamic negative pressure parameter, determining the maximum negative pressure value as the dynamic negative pressure parameter; If the negative pressure value is not greater than the dynamic negative pressure parameter, determining the theoretical negative pressure value as the dynamic negative pressure parameter; controlling a negative pressure extraction device to drain precipitation according to the dynamic negative pressure parameters; acquiring the real-time water accumulation on the ground; the ground real-time water yield is analyzed to control the negative pressure extraction device and the water pumping drainage device to drain the precipitation.
7. 7. The sponge city directed stormwater landscaping integration method as claimed in claim 6, wherein the step of analyzing the real-time water volume on the ground to control the negative pressure extraction means and the water pumping drainage means to drain the precipitation comprises: judging whether the real-time ground water volume is larger than a preset ground water volume threshold value; If the water volume is not larger than the water volume, continuously acquiring the real-time water volume on the ground to carry out cycle judgment; If the water accumulation amount is larger than the threshold value, controlling the negative pressure extraction device to stop working, and extracting data from the ground water accumulation threshold value according to the sliding extraction window to determine the sliding water accumulation amount; calculating the average growth rate of the sliding water accumulation amount to determine the average value of the water accumulation growth rate; Calculating the average value of the sliding water accumulation amount to determine the average value of the ground water accumulation amount; Inputting the average value of the ponding growth rate and the average value of the ponding quantity on the ground into a preset differential control model to determine the dynamic pumping flow; and controlling the water pumping and drainage device to drain the precipitation according to the dynamic water pumping flow.
8. 8. A sponge city-oriented rain flood landscape integration system, comprising: The acquisition module is used for acquiring the predicted rainfall data and the real-time rainfall intensity; a memory for storing a program of a sponge city-oriented stormwater landscaping integration method as claimed in any one of claims 1 to 7; a processor, a program in the memory being capable of being loaded by the processor and implementing a sponge city-oriented stormwater landscaping integration method as claimed in any one of claims 1 to 7.

Description

Rain and flood landscape integration method and system for sponge city guidance Technical Field The application relates to the technical field of hydraulic engineering, in particular to a sponge city-oriented rain and flood landscape integration method and system. Background The integration of the rain and flood landscape guided by the sponge city is a process of regulating and controlling urban rainfall by integrating a rain and flood management and landscape design system based on the concept of the sponge city. In the related art, when urban rainfall resources are stored and utilized, a regulating reservoir is usually arranged in a green land or a natural low-lying place, meanwhile, runoffs, drainage layers, diversion devices connected with overflow wells and the like are arranged in waterproof areas such as roofs, roads and the like, and storage and utilization of rainwater are realized by means of natural infiltration and gravity confluence of the rainwater. When the regulation pond and the diversion device are arranged to store and utilize rainwater according to the related technology, when the rainfall exceeds the facility digestion capacity or the rainfall speed is too fast, the situation that the rainfall cannot be processed in time can occur, so that the rainfall regulation and control efficiency is poor, and the improvement is still in space. Disclosure of Invention In order to improve precipitation regulation efficiency and optimize precipitation regulation effect, the application provides a sponge city-oriented rain and flood landscape integration method and system. In a first aspect, the application provides a sponge city-oriented rain and flood landscape integration method, which adopts the following technical scheme: A sponge city-oriented rain and flood landscape integration method comprises the following steps: obtaining predicted rainfall data; analyzing the rainfall prediction data to determine the landscape drainage speed and the key ponding position; Controlling preset rain and flood landscape drainage according to the landscape drainage speed, and arranging a preset negative pressure extraction device and a preset water pumping drainage device according to the key water accumulation position; acquiring real-time rainfall intensity; and analyzing the real-time rainfall intensity to control the negative pressure extraction device and the water pumping drainage device to drain the rainfall to the rainfall flood landscape. Optionally, the step of analyzing the predicted rainfall data to determine the landscape drainage speed and the key ponding position includes: Data extraction is carried out on the rainfall prediction data to determine regional rainfall prediction, regional rainfall prediction speed and regional rainfall prediction time; Acquiring historical ponding data and historical rainfall data; Analyzing the historical ponding data, the historical rainfall data, the regional predicted rainfall and the regional predicted rainfall speed to determine the regional predicted ponding, the water storage occupation factors and the key ponding positions; And analyzing the regional prediction rainfall time, the water storage occupation factor and the regional prediction water accumulation amount to determine the landscape drainage speed. Optionally, the step of analyzing the historical ponding data, the historical rainfall data, the regional predicted rainfall and the regional predicted rainfall speed to determine the regional predicted ponding, the water storage occupancy factor and the key ponding position includes: Acquiring a regional construction base map and regional water storage parameters; Training a preset water flow deduction model according to the regional water storage parameters, the regional construction base map, the historical rainfall data and the historical ponding data to determine a regional water flow model; Acquiring forward water flow data; Inputting the forward water flow data into a regional water flow model to determine a water storage occupation factor; the water storage occupation factors, the regional predicted rainfall and the regional predicted rainfall speed are input into a regional water flow model to determine the regional predicted water yield and the key water accumulation position. Optionally, the step of analyzing the regional predicted rainfall time, the water storage occupancy factor and the regional predicted water accumulation to determine the landscape drainage speed includes: Acquiring the total water storage amount of the landscape; Carrying out data extraction on the water storage occupation factors to determine landscape occupation factors; calculating the product of the total landscape water storage amount and the landscape occupation factor to determine the existing landscape water amount; Calculating the sum of the regional predicted water volumes to determine the total regional water volume; Calculating the product of the total water yiel