River basin beneficial management practice optimization method considering topological relationship of plots

Abstract

The invention discloses a river basin beneficial management practice (BMP) optimization method considering the topological relationship of plots, comprising the following steps: (1) dividing a river basin into multiple plots and building a plot tree; (2) initially generating a population of a certain quantity scale, and determining the BMP corresponding to each plot in individuals based on spatial interaction rules; (3) carrying out non-dominated sorting according to the sediment reduction rate and the cost, and carrying out pairing for cross mutation to generate a next generation population; and (4) getting an optimal solution of BMP of the river basin through constant genetic evolution. According to the invention, population initialization is carried out by making full use of the knowledge of the upstream and downstream relationship of river basin management units (plots) and the spatial interaction between BMPs. Compared with the traditional method in which an initial solution is generated through a random approach, the quality of the solution is improved, the algorithm can converge better, and an optimal solution can be found quickly.

Description

technical field [0001] The invention belongs to the technical field of agricultural non-point source pollution simulation technology and optimization of best management measures, and specifically relates to a method for optimizing watershed best management measures considering the topological relationship of plots. Background technique [0002] Best management practices (Beneficial management practices, BMP) are a series of measures taken to control and reduce non-point source pollution, prevent soil erosion, protect soil resources, and improve water quality and ecological environment of watersheds. When BMP selection and optimal allocation are carried out in the actual watershed, the selection of upstream management unit measures is usually determined by the selection of downstream unit measures to a certain extent. For example, if the downstream management unit implements grassland filter belt measures, the upstream management unit does not need to implement them High-till...

AI Technical Summary

Problems solved by technology

[0003] There are two existing BMP optimization methods. One is to design a BMP scheme based on expert experience and identification of key source areas, taking into account the relationship between the upstream and downstream of the management unit to a certain extent, and then select the best through the simulation evaluation of the watershed model. Semi-distributed watershed models are mostly used in scheme evaluation, which cannot simulate the spatial interaction of management units in the scheme (such as the impact of upstream sewage discharge on downstream); the other is to optimize the spatial configuration scheme of watershed BMP based on intelligent optimization algorithms, but due to The optimization algorithm generates the initial population (initial solution) by random method, and guides the generation of new population (new solution) for BMP configuration optimization according to the model evaluation results. The random method also ignores the upstream and downstream relationship of the management unit

In summary, the two existing BMP optimization methods do not fully consider the upstream-downstream relationship of management units and their spatial interactions

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