Artificial intelligence applications in ecological environments from 1989 to 2022——Knowledge graph analysis based on Citespace
Artificial intelligence(AI)is a discipline that focuses on using computers to simulate certain human thoughts and intelligent behaviors.In recent years,its application value in the ecological environment business has gradually become evident.Based on a review of 6 732 Chinese documents collected by CNKI and 5 012 English-language documents from the WOS core collection between 1989 and 2022,this study employed Citespace analysis software and traditional literature review methods to examine the knowledge foundation,frontier hotspots,and development trends of AI in the ecological environment domain.The domestic and international development trends,research frontiers,path evolution,and latest progress were summarized.The results showed that foreign research had focused more on environmental risk assessment,closely related to human health,such as air pollution and water quality.Domestically,research on environmental rule has taken the lead,with a focus on the application of AI in urban air quality,traffic noise,water quality,and land cover.The research methods employed domestically include water quality prediction models,atmospheric pollutant dispersion simulations,and soil pollution algorithm predictions,while internationally,emphasis has been placed on the application of deep learning,machine learning,and artificial neural networks.In the past 6 years,foreign research has consistently used machine learning to study water and air quality,while domestic attention to research methods such as machine learning and deep learning has gradually increased in the past 3 years.
国家科技期刊平台
NSTL
万方数据
