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A quantitative analysis of research trends in flood hazard assessment

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Abstract

Studies focusing on flood hazard assessment (FHA) reviews are still rare and usually approach mapping, uncertainty, spatial scale, and economic loss. Nevertheless, most of these studies only provide a snapshot of the current development of FHA, showing a partial view, and focusing on a limited number of selected approaches and methods. This study aims to analyze the historical development and emerging fields of FHA-related research and applies a bibliometric analysis method based on the Bibliometrix tool and the Web of Science (WoS) database. We refined the 4135 articles retrieved, established a dataset containing 723 articles, and downloaded the information of all articles, including journal, author, country, keywords, and abstracts. The dataset is entered bibliometric analysis model to study the development of FHA-related research from 2000 to 2020 (data as of 15 February 2021). The results show that the number of articles on FHA-related research has continued to increase and developed rapidly. The top five countries in the number of studies are China, Italy, the United States, Spain, and the United Kingdom. Compared to developed countries, the FHA-related research in developing countries lags significantly behind although it is developing rapidly.  Future research is likely to focus on global change, coastal floods, compound disaster, and psycho-social aspects of flooding. Moreover, research using remote sensing and machine learning is becoming increasingly sophisticated. The purpose of this research is to provide direction for future FHA-related research and provide reference and scientific guidance for FHA-related researchers.

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Data availability statement

The data supporting the results of this study came from the Web of Science (http://www.webofknowledge.com, accessed on 15 February 2021; supplementary material S1).

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Acknowledgements

This study is supported by National Key R&D Program of China (2018YFE0103800), China Scholarship Council (Grant No.: Liujinmei [2022] No. 45;Liujinxuan [2022] No.133), International Education Research Program of Chang’an University (300108221102), General Project of Shaanxi Provincial Key R&D Program - Social Development Field (2021SF-454), the GDAS' Project of Science and Technology Development(2020GDASYL-20200102013,2020GDASYL-20200301003,2020GDASYL-20200402003, 2019GDASYL-0102002) and Guangdong Foundation for Program of Science and Technology Research (Grant No.2019B121205006). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. We also appreciate the reviewers for providing valuable comments.

Funding

The financial support is given by National Key R&D Program of China (2018YFE0103800); China Scholarship Council (Grant No.: Liujinmei [2022] No. 45; Liujinxuan [2022] No. 133), International Education Research Program of Chang’an University (300108221102), General Project of Shaanxi Provincial Key R&D Program - Social Development Field (2021SF-454), GDAS Special Project of Science and Technology Development (2020GDASYL-20200102013), Guangdong Foundation for Program of Science and Technology Research (2019QN01L682) and Asia-Pacific Network for Global Change Research APN project (CRRP2020-03MY-He).

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Contributions

All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by [WZ], [XZ] and [PL]. The first draft of the manuscript was written by [WZ] and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Pingping Luo.

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The authors declare no conflicts of interest. The funders had no role in the study design, data collection, and analysis; decision to publish; or preparation of the manuscript. The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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Zhu, W., Zha, X., Luo, P. et al. A quantitative analysis of research trends in flood hazard assessment. Stoch Environ Res Risk Assess 37, 413–428 (2023). https://doi.org/10.1007/s00477-022-02302-2

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