Abstract: The present disclosure provides a reservoir scheduling method considering power generation, an ecological flow, and a surface water temperature. A plurality of optimization objectives of power generation, an ecological flow, and a surface water temperature of a reservoir are determined through analysis, and a multi-objective optimization model is constructed. A non-dominated sorting genetic algorithm III (NSGAII) algorithm is used to obtain an optimal value of a to-be-optimized parameter through solving. Scheduling control is performed on the reservoir based on the optimal value of the to-be-optimized parameter. The present disclosure quantifies a competitive and cooperative relationship among the power generation, the ecological flow, and the surface water temperature of the reservoir by using a multi-objective optimization method, and a reservoir scheduling rule that can balance the power generation, the ecological flow, and the surface water temperature of the reservoir is selected through analysis.

Abstract: A method, system and device for allocating total emission reduction of a water environmental pollution load are provided. The method includes: dividing a watershed based on terrain elevation information in watershed-related data to generate a plurality of watershed control units; with a watershed control unit as a basic unit, estimating a pollution load output in each watershed control unit by using an output coefficient method; acquiring GDP of each watershed control unit, and combined with the pollution load output, calculating relative environmental efficiency of each watershed control unit by using a data envelopment method; quantifying a contribution rate of a pollution load produced by each watershed control unit to a pollution load of a section of river entering the sea one by one based on a constructed watershed water environmental model; and formulating a pollutant emission reduction scheme according to the relative environmental efficiency and the contribution rate.

Abstract: A method for validation of site-specific water quality criteria of a river basin includes steps of: analyzing the biota distribution characteristics of a river basin; eliminating non-resident related species from the toxicity database of target pollutants; supplementing toxicity values of site-specific resident sensitive species and endemic species; establishing a resident toxicity database for the river basin; comparing the degrees of fitting of species sensitivity distribution (SSD) models and identifying the optimal SSD model; and validating the water quality criterion value to complete the derivation and validation of the site-specific water quality criteria of the river basin. The method can improve the nativeness of the site-specific water quality criteria of the river basin, be used for the formulation of the site-specific water environment quality standards of the river basin, and provide support for the water quality management of the river basin.