Analysis of the Causes of Cyanobacteria Bloom: A Review

doi:10.5814/j.issn.1674-764x.2020.04.009

Abstract

Abstract:

Among water blooms, cyanobacteria bloom occurs over the widest range and is much more harmful than other blooms. Its occurrence in inland water bodies is affected by many factors, such as meteorology, hydrology, and human activities. Therefore, the study of the causes of cyanobacterial bloom has become a major focus of scholars. The China Knowledge Network Journal Database contains 143 papers from China and abroad from the years 2004 to 2019 that are relevant to the study of cyanobacteria bloom. We begin by analyzing keywords in these studies and creating a keyword distribution map which indicates the factors related to the blooms. Based on parameters such as the frequency of words appearing in the text, the full text of each of the 143 papers is analyzed to form a word cloud created by a program written in Python language. After irrelevant terms are eliminated, the word cloud map can reveal potential factors that were not identified by keywords alone. After completing this macro analysis, we examined approximately 100 related papers from the China Knowledge Network Journal Database and Web of Science Database published from 2014 to 2019. Finally, we summarize the main reasons for the outbreak of water blooms. The factors causing blooms can be divided into natural factors and human factors. Among the natural factors are illumination, water temperature and nutrient salt conditions. The human factors are generally related to large-scale water conservancy projects. This paper analyzes and summarizes these factors, and provides a reference to aid in the prevention and treatment of algal blooms. The information in the paper has a certain practical significance for the protection of water environments.

Key words: algae bloom, eutrophication, literature measurement, temperature

ZHOU Bing, CAI Xiaoli, WANG Sen, YANG Xinxin. Analysis of the Causes of Cyanobacteria Bloom: A Review[J]. Journal of Resources and Ecology, 2020, 11(4): 405-413.

Figures/Tables 5

Fig. 1 The pollution index statistics of major rivers in China in April 2019

Table 1 Classification of the eutrophication degree of lakes in China

Degree	Total phosphorus (mg m^-3)	Total nitrogen (mg m^-3)	Chlorophyll α (mg m^-3)
Oligotrophic	<15	<400	<3
Middle nutrition	15-25	400-600	3-7
Eutrophication	25-100	600-1500	7-40
Overnutrition	>100	>1500	>40

Fig. 2 Key words distribution map of factors influencing water bloom

Fig. 3 Word cloud map of factors influencing water bloom

Fig. 4 Schematic diagram of factors affecting the blooms

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