A method of optimal allocation of agricultural non-point source management measures combination based on ecological service function

Abstract

The invention discloses a method of optimal allocation of agricultural non-point source management measures combination based on an ecological service function. The method comprises the following steps: 1) collecting data of a target research area and constructing a watershed SWAT model of the target research area; 2) According to the slope condition and the type of soil hydrology group, selectingthe agricultural non-point source management measures in the target research area; 3) calculating that cost of the existing management measure and the selected agricultural non-point source management measures of the watershed where the target research area is locate, and constructing a cost database of each management measure; 3) adjusting that key characteristic parameters of the SWAT model ofthe watershed, respectively simulate the reduction efficiency of the target pollutants by different management measures, and generating an ecological benefit database for the implementation of the measure; 4) adopting an Adaptive multi-objective genetic algorithm to calculate the cost database and the ecological benefit database, and the optimal cost-benefit curves of different target pollutants are obtained, and the optimal allocation scheme of agricultural non-point source management measures in the target research area is obtained.

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 ...

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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-...

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