Technique method of lake nutrient zoology zone boundary identification

Abstract

The invention discloses a technique method of lake nutrient zoology zone boundary identification, which refers to the fact of conducting cluster analysis on various index data collected from a lake nutrient zoology zone by using a double restrain space clustering algorithm. The technique method is characterized by comprising the following steps: conducting spatial data pretreatment and characteristic treatment, enabling a clustering space to be separated into a plurality of clusters with homogenic attributes, generating a Voronoi picture of spatial point sets, conducting cluster combination, achieving visualization of clustering results, and outputting the clustering results. A final classification zoning result of the technique method reflects whole systematic difference between samples rather than difference on individual indicators, and comprehensiveness principles of the lake nutrient zoology zone are met. Therefore, the technique method of the lake nutrient zoology zone boundary identification is good in clustering effect, small in artificial influence, simple and convenient in operation, high in automaticity and computing efficiency and the like, and the technique method is strong in applicability, and capable of being used in high dimensional data mining in different fields.

Description

technical field [0001] The invention relates to the field of lake nutrient ecological zoning research, in particular to a technical method for identifying the boundary of lake nutrient ecological zoning. Background technique [0002] In recent years, the situation of eutrophication of lakes in China has been severe. According to statistics, the area of ​​eutrophic waters in my country has exceeded 8,000 square kilometers in 2007, and the degree of eutrophication of 14,000 square kilometers of lakes is increasing. According to the advanced experience of some developed countries in the prevention and management of lake eutrophication, it has become an important development trend of lake eutrophication control and management to actively carry out work such as lake ecological zoning, nutrient benchmarks and eutrophication control standards. Among them, the ecological zoning of lake nutrients is the basis for the establishment of lake nutrient benchmarks and eutrophication contro...

AI Technical Summary

Problems solved by technology

However, these existing spatial clustering algorithms have their own limitations

Taking the traditional density clustering method as an example, due to the fixed threshold clustering method, it is difficult for this method to adapt to changes in the density of spatial entities

[0004] Some existing spatial clustering methods that take into account thematic attributes can be roughly divided into three categories: ① In the process of spatial clustering, the similarity of thematic attributes in spatially adjacent domains is considered. The similarity of thematic attributes mostly ignores the non-uniformity and trend of the spatial distribution of thematic attributes, and it is difficult to ensure that the thematic attributes of entities in the same spatial cluster are similar; Then use the traditional clustering method for clustering. In this method, it is difficult to determine the weight value between the spatial attribute and thematic attribute; Influence of limitations of attribute clustering and thematic attribute clustering methods

[0005] It can be seen that the existing clustering methods used in the identification of the boundaries of lake nutrient ecological divisions cannot truly and accurately define the boundaries of lake nutrient ecological divisions

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