藻团2维投影特征值定量水源水库中优势藻种

doi:10.12066/j.issn.1007-2861.2102

Abstract

Abstract:

From March to July 2015, a microscopic survey on species, density, and two-dimensional projection characteristic values of algal clusters showed the obvious seasonal succession pattern of algal species distribution in the reservoir. Tribonema (Xanthophyta) was the dominant algae in spring, accounting for 78.9% to 92.6% of algal clusters, with high correlation between two-dimensional projection area and cell density (R²=0.712). Classification and regression tree (CART) method was used to identify Tribonema, Cyclotella, and Pseudanabaena, with effective recognition rates of 83%, 68%, and 86%, respectively. The two-dimensional projection and image recognition technology were expected to realize rapid identification and characterization of algal clusters in water.

Key words: algal cluster, two-dimensional projection characteristic value, drinking water reservoir

CLC Number:

X835

SU Qingqing, LI Chunrong, WANG Xianyun, ZHANG Dong, HUANG Xin. Quantification of dominant algal species in water reservoir by measuring two-dimensional projection characteristic values of algal clusters[J]. Journal of Shanghai University（Natural Science Edition）, 2020, 26(6): 980-988.

Figures/Tables 6

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References 23

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Quantification of dominant algal species in water reservoir by measuring two-dimensional projection characteristic values of algal clusters

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