Bibliometric analysis of global research on probable maximum precipitation estimation using scopus database

Abstract

Climate change impact on the intensity of extreme precipitation is very significant nowadays. The impact of extreme rainfall events causes an increase in flood frequencies and the risk of dam failure. Therefore, the analysis of extreme events is required for future risk reduction assessment. Probable maximum precipitation (PMP) estimation has received positive attention among engineers in the design of water engineering. Therefore, understanding the methods that are most suitable for the estimation and broadening collaboration networks are important for advanced research development. In this bibliometric study, our aim was to evaluate the global research trends in PMP estimation based on publication outputs, co-authorships among authors and affiliated countries, and co-occurrences of author keywords. Two hundred thirty-four journal articles that were published between 1953 and 2020 were rectified using the Scopus database. From the analysis, it is found that after 2010, the publications of articles regarding PMP estimation had shown a significant increase, resulting in a steady increase in the cumulative total publications till present. Most of the total global publications were contributed by researchers from the United States, India, Canada, United Kingdom, China and other 30 countries. In conclusion, recent progress in the PMP estimation method includes the Hershfield method and the Hydrometeorological method.