%0 Journal Article
%T 浮游藻类监测技术进展<br>Advances in Monitoring Techniques for Planktonic Algae
%A 周秋立
%A 邹本东
%A 常淼
%A 陈圆圆
%A 孙成华
%A 杜泽瑞
%A 吕学研
%J Water pollution and treatment
%P 34-42
%@ 2332-8029
%D 2025
%I Hans Publishing
%R 10.12677/wpt.2025.132005
%X 浮游藻类对其所处的生活环境敏感&#65292;是评价水体健康状况的重要指示生物。藻类水华监测预警是浮游藻类研究的重要方向之一。藻类水华形成过程中&#65292;往往伴随着藻类群落结构的快速演替。快速的、合理的浮游藻类监测技术&#65292;是支撑藻类水华监测预警的重要基础。本文在综合整理国内外藻类监测技术的基础上&#65292;较为系统地梳理了当前浮游藻类监测技术现状&#65292;分析了不同方法的工作原理和特点&#65292;以期为浮游藻类监测技术选择和发展提供指引。<br>Planktonic algae is sensitive to its living environment and is an important indicator of water health. Algal bloom monitoring and early warning is one of the important directions of planktic algal research. The formation of algal blooms is often accompanied by rapid succession of algal community structure. Rapid and reasonable algal monitoring technology is an important basis to support algal bloom monitoring and early warning. Based on the comprehensive review of algae monitoring technologies at home and abroad, this paper systematically reviews the current status of planktonic algae monitoring technologies, analyzes the working principles and characteristics of different methods, in order to provide guidance for the selection and development of planktonic algae monitoring technologies.
%K 浮游藻类&#65292
%K 富营养化&#65292
%K 分子生物学&#65292
%K 人工智能<br>Planktonic Algae
%K Eutrophication
%K Molecular Biology
%K Artificial Intelligence
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=112072