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 ...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.展开更多
基金Development and Testing Project of Algal Bloom Remote Sensing Processing Module(2018-S018)。
文摘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.
