Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Hydrological Research Evolution: A Large Language Model-Based Analysis of 310,000 Studies Published Globally Between 1980 and 2023
Stockholm University, Faculty of Science, Department of Physical Geography. Stockholm University, Faculty of Science, The Bolin Centre for Climate Research (together with KTH & SMHI). KTH Royal Institute of Technology, Sweden; Stellenbosch Institute for Advanced Study, South Africa.ORCID iD: 0000-0001-9408-4425
Number of Authors: 42024 (English)In: Water resources research, ISSN 0043-1397, E-ISSN 1944-7973, Vol. 60, no 6, article id e2024WR038077Article in journal, Editorial material (Refereed) Published
Abstract [en]

Hydrology plays a crucial role in understanding Earth's intricate water system and addressing water-related problems, including against the backdrop of ongoing climate change. A retrospective review of the evolution of hydrology up to the current state of research is of great importance for understanding this role. While there have been some quantitative reviews of large numbers of hydrological publications, there still remains a lack of overarching hydrological research assessment, particularly with the focus on hydrological basins as fundamental spatial-geographic units of hydrological analysis. Large language models, represented by OpenAI's ChatGPT, have demonstrated powerful textual understanding capabilities, making it possible to extract such overarching and basin information from hydrological publications. Here, we considered publications related to hydrology from Web of Science spanning January 1980 to October 2023, and parsed the information from this extensive body of literature by integrating a large language model and geocoding. These techniques enable quantitative analysis of research characteristics across different spatio-temporal scales, focusing on hotspot topics, collaboration networks, and various basins worldwide. Our study revealed an increase in hydrological research since the 1990 s, with shifts in research priorities from groundwater and nutrients to climate change and ecohydrology. Some basins in North America and Europe have consistently been hotspots for hydrological research. Since the 2010s, there has been a noteworthy increase in interest toward basins in China and South Asia, but attention to many regions with frequent extreme rainfall remains insufficient. Geographical patterns show different preferred research topics for different basins, but climate change has emerged as the most prominent topic across all regions in the last decade. In conclusion, our study provides an effective approach to quantitative analysis of research trends, offering a fresh view on the evolution of hydrology as a research field, its focus on various hydrological basins around the world, and the emergence of overarching and basin-specific hot topics over time.

Place, publisher, year, edition, pages
2024. Vol. 60, no 6, article id e2024WR038077
Keywords [en]
bibliometric analysis, geographic research assessment, global publications, hydrological basins, hydrological research, large language models
National Category
Oceanography, Hydrology and Water Resources
Identifiers
URN: urn:nbn:se:su:diva-235535DOI: 10.1029/2024WR038077Scopus ID: 2-s2.0-85196359346OAI: oai:DiVA.org:su-235535DiVA, id: diva2:1913303
Available from: 2024-11-14 Created: 2024-11-14 Last updated: 2024-11-14Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Destouni, Georgia

Search in DiVA

By author/editor
Destouni, Georgia
By organisation
Department of Physical GeographyThe Bolin Centre for Climate Research (together with KTH & SMHI)
In the same journal
Water resources research
Oceanography, Hydrology and Water Resources

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 46 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf