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Urban river network waterlogging prevention optimal scheduling method
The invention relates to an urban river network waterlogging prevention optimal scheduling method. The method comprises the steps that basic data of all rainwater sub-catchment-areas on the upstream of an urban river network are acquired, SWMM models are constructed correspondingly, rainfall runoff simulation is conducted by inputting rainfall hydrographs, and discharge curves of rainwater pipe network drainage ports of all the sub-catchment-areas are acquired; basic data of an urban river network system is acquired, a river network SWMM model is constructed, the discharge curves, of the drainage ports, acquired in S1 are taken as inflow of the river network model, and the model is used for calculating a system overflow amount and a river and lake water level hydrograph under a specific scheduling strategy; a river network system waterlogging prevention optimal scheduling model is constructed, which comprises an optimized objective function and a decision variable, and optimization isconducted on the decision variable on the basis of a differential evolution algorithm; and coupling of the optimal scheduling model based on the differential evolution algorithm and the SWMM model isrealized in a Python environment, and an optimal waterlogging prevention scheduling strategy of a river network system is iteratively calculated. The method is good in robustness and high in reliability, and the obtained scheduling strategy is beneficial to exerting the regulation and storage capacity of the urban river network system in urban inland inundation.
一种城市河网防涝优化调度方法,包括:获取城市河网上游各个雨水子汇水区的基础资料,分别构建SWMM模型,输入降雨过程线进行降雨径流模拟,获取各个子汇水区雨水管网排口的流量过程线;获取城市河网系统基础资料,构建河网SWMM模型,将S1中得到的排口流量过程线作为河网模型的入流,该模型将用于计算特定调度策略下的系统溢流量及河道湖泊水位过程线;构造河网系统防涝优化调度模型,包括优化目标函数及决策变量,基于差分进化算法对决策变量进行优化;在Python环境中实现基于差分进化算法的优化调度模型和SWMM模型的耦合,迭代计算河网系统的最优防涝调度策略。本发明稳健性好,可靠性高,得到的调度策略有助于发挥城市河网系统在城市内涝中的调蓄能力。
Urban river network waterlogging prevention optimal scheduling method
The invention relates to an urban river network waterlogging prevention optimal scheduling method. The method comprises the steps that basic data of all rainwater sub-catchment-areas on the upstream of an urban river network are acquired, SWMM models are constructed correspondingly, rainfall runoff simulation is conducted by inputting rainfall hydrographs, and discharge curves of rainwater pipe network drainage ports of all the sub-catchment-areas are acquired; basic data of an urban river network system is acquired, a river network SWMM model is constructed, the discharge curves, of the drainage ports, acquired in S1 are taken as inflow of the river network model, and the model is used for calculating a system overflow amount and a river and lake water level hydrograph under a specific scheduling strategy; a river network system waterlogging prevention optimal scheduling model is constructed, which comprises an optimized objective function and a decision variable, and optimization isconducted on the decision variable on the basis of a differential evolution algorithm; and coupling of the optimal scheduling model based on the differential evolution algorithm and the SWMM model isrealized in a Python environment, and an optimal waterlogging prevention scheduling strategy of a river network system is iteratively calculated. The method is good in robustness and high in reliability, and the obtained scheduling strategy is beneficial to exerting the regulation and storage capacity of the urban river network system in urban inland inundation.
一种城市河网防涝优化调度方法,包括:获取城市河网上游各个雨水子汇水区的基础资料,分别构建SWMM模型,输入降雨过程线进行降雨径流模拟,获取各个子汇水区雨水管网排口的流量过程线;获取城市河网系统基础资料,构建河网SWMM模型,将S1中得到的排口流量过程线作为河网模型的入流,该模型将用于计算特定调度策略下的系统溢流量及河道湖泊水位过程线;构造河网系统防涝优化调度模型,包括优化目标函数及决策变量,基于差分进化算法对决策变量进行优化;在Python环境中实现基于差分进化算法的优化调度模型和SWMM模型的耦合,迭代计算河网系统的最优防涝调度策略。本发明稳健性好,可靠性高,得到的调度策略有助于发挥城市河网系统在城市内涝中的调蓄能力。
Urban river network waterlogging prevention optimal scheduling method
一种城市河网防涝优化调度方法
WANG XUAN (author) / LIAO ZHENLIANG (author) / TIAN WENCHONG (author)
2020-12-22
Patent
Electronic Resource
Chinese
IPC:
E03F
SEWERS
,
Abwasserkanäle
/
G06F
ELECTRIC DIGITAL DATA PROCESSING
,
Elektrische digitale Datenverarbeitung
/
G06N
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
,
Rechnersysteme, basierend auf spezifischen Rechenmodellen
/
G06Q
Datenverarbeitungssysteme oder -verfahren, besonders angepasst an verwaltungstechnische, geschäftliche, finanzielle oder betriebswirtschaftliche Zwecke, sowie an geschäftsbezogene Überwachungs- oder Voraussagezwecke
,
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES
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