A combination optimization configuration method of agricultural non-point source best management measures based on ecological service function

Abstract

The invention discloses a combination optimization configuration method of agricultural non-point source best management measures based on ecological service function, the steps of which are as follows: 1) collecting data of a target research area, and constructing a watershed SWAT model of the target research area; 2) according to the slope 3) Calculate the existing management measures in the watershed where the target research area is located and the costs of selected agricultural non-point source management measures, and construct the management measures for each management measure 3) adjust the key characteristic parameters of the watershed SWAT model, respectively simulate the reduction efficiency of different management measures on target pollutants, and generate a database of ecological benefits for the implementation of measures; 4) adopt adaptive multi-objective genetic algorithm to process the cost database, The measures are calculated by implementing the ecological benefit database to obtain the optimal cost-benefit curves of different target pollutants, and obtain the optimal allocation plan of the best management measures for agricultural non-point sources in the target research area.

Description

technical field [0001] The invention relates to the field of environmental science, in particular to a space combination optimization configuration method for optimal agricultural non-point source management measures taking into account water resources, water quality and economic benefits. Background technique [0002] With the effective control of point source pollution, agricultural non-point source pollution has become an important factor in the decline of surface water quality worldwide (Huang J J et al., 2015; Minet E et al., 2017;). Practice has shown that the implementation of agricultural best management measures is an effective means to effectively reduce the agricultural non-point source pollution load and promote the improvement of water environment quality in the basin (Sharpley A et al., 2004; Rocha J et al., 2015; Haas M B et al ., 2017). However, agricultural non-point source pollution is not only controlled by natural factors such as topography, meteorology ...

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the current situation that the existing optimal agricultural non-point source management measures are difficult to effectively improve the ecological service function at the watershed level, and the optimization algorithm parameters have large uncertainties, the present invention provides an optimal agricultural non-point source based on ecological service functions. The method of combining management measures to optimize the configuration, in order to achieve the overall improvement of the ecological service function of the river basin, will provide strong technical support for the comprehensive regulation of water quality and water quantity in the river basin

Images