Scheduling method and system for operation of reservoirs to recharge freshwater for repelling saltwater intrusion under changing conditions

A scheduling method for the operation of reservoirs to recharge freshwater for repelling saltwater intrusion under changing conditions, comprising the following steps:

• step S1:
• collecting research data of a research area, generalizing the research area, and constructing the river network topology of the area, wherein the river network topology at least includes a first starting point and a first ending point, the first starting point is the starting point of freshwater flow, and the first ending point is the ending point of freshwater flow into the sea and the starting point of seawater intrusion flow;
• step S2:
• reading the research data to acquire the seawater flow data of each station in the research area for N time periods, analyze the correlation between the flow of a predetermined station and the saltwater intrusion and build a seawater flow spatial-temporal evolution model for each time period, wherein N is a positive integer;
• step S3:
• for each time period, acquiring rainfall data and freshwater runoff of each station in the research area to analyze the variation trends of freshwater flow and hydrological regime of each station and the first ending point and build a freshwater flow spatial-temporal evolution model;
• step S4:
• building a scheduling model for recharging freshwater for repelling saltwater intrusion to acquire the current hydrometeorological data and the predicted future hydrometeorological data of the research area, simulating the effect of recharging freshwater for repelling saltwater intrusion of the research area through the seawater flow spatial-temporal evolution model and the freshwater flow spatial-temporal evolution model, providing a scheduling method, and forming a scheduling scheme set;
• the step S2 further comprises:
• step S21:
• reading the research data, carrying out query and analysis using a pre-configured data management module, dividing time periods, extracting the seawater flow data of each station in chronological order according to spatial positions, and performing statistical analysis and outlier processing;
• step S22:
• calculating a correlation coefficient or regression equation between the flow of the predetermined station and a saltwater intrusion index by means of correlation analysis or regression analysis, and evaluating the significance and degree of fitting thereof;
• step S23:
• for each time period, building and verifying a seawater flow spatial-temporal evolution model according to historical seawater flow data and saltwater intrusion index data of each station;
• the step S3 further comprises:
• step S31:
• reading the research data, and extracting rainfall data and data of freshwater runoff into the sea of each station in chronological order according to spatial positions;
• step S32:
• calculating the variation trend or periodicity between the seawater flow and rainfall and freshwater runoff into the sea of each station and the first ending point by means of trend analysis or time series analysis, and evaluating the stability and predictability thereof;
• step S33:
• based on a hydraulic simulation method, building a freshwater flow spatial-temporal evolution model, and using historical rainfall data and data of freshwater runoff into the sea of each station as training data;
• the step S4 further comprises:
• step S41:
• extracting the current hydrometeorological data and the predicted future hydrometeorological data of the research area in chronological order according to spatial positions, and performing statistical analysis and outlier processing;
• step S42:
• building a scheduling model for recharging freshwater for repelling saltwater intrusion by a multi-objective optimization method according to an objective function and constraints for recharging freshwater for repelling saltwater intrusion, and solving the objective function based on a pre-configured algorithm to obtain an optimal solution set;
• step S43:
• for each optimal solution in the optimal solution set, simulating and evaluating the scheduling scheme set using a seawater subsiding model formed by coupling the seawater flow spatial-temporal evolution model and the freshwater flow spatial-temporal evolution model, and choosing an optimal scheme according to comprehensive benefits.