Academic Journal
Meta-Analysis and Visualization of the Literature on Early Identification of Flash Floods
| Title: | Meta-Analysis and Visualization of the Literature on Early Identification of Flash Floods |
|---|---|
| Authors: | Zhengli Yang, Xinyue Yuan, Chao Liu, Ruihua Nie, Tiegang Liu, Xiaoai Dai, Lei Ma, Min Tang, Yina Xu, Heng Lu |
| Source: | Remote Sensing, Vol 14, Iss 14, p 3313 (2022) |
| Publisher Information: | MDPI AG, 2022. |
| Publication Year: | 2022 |
| Collection: | LCC:Science |
| Subject Terms: | flash floods, identify, precipitation, sediment, sensitivity analysis, risk assessment, Science |
| More Details: | Flash flood is one of the extremely destructive natural disasters in the world. In recent years, extreme rainfall events caused by global climate change have increased, and flash flood disasters are becoming the main types of natural disasters in the world. Due to the characteristics of strong suddenness, complex disaster-causing factors, great difficulty in prediction and forecast, and the lack of historical data, it is difficult to effectively prevent and control flash flood disaster. The early identification technology of flash floods is not only the basis of flash flood disaster prediction and early warning, but also an effective means of flash flood prevention and control. The paper makes a meta-analysis and visual analysis of 475 documents collected by the Web of Science Document Platform in the past 31 years by comprehensively using Citespace, Vosviewer, Origin, etc. We systematically summarize the research progress and development trend of early identification technology of flash flood disasters from five key research subfields: (1) precipitation, (2) sediment, (3) sensitivity analysis, (4) risk assessment, (5) uncertainty analysis. In addition, we analyze and discuss the main problems encountered in the current research of several subfields and put forward some suggestions to provide references for the prevention and control of flash flood disasters. |
| Document Type: | article |
| File Description: | electronic resource |
| Language: | English |
| ISSN: | 14143313 2072-4292 |
| Relation: | https://www.mdpi.com/2072-4292/14/14/3313; https://doaj.org/toc/2072-4292 |
| DOI: | 10.3390/rs14143313 |
| Access URL: | https://doaj.org/article/19261261ba8f467884641029e4cf107c |
| Accession Number: | edsdoj.19261261ba8f467884641029e4cf107c |
| Database: | Directory of Open Access Journals |
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| ISSN: | 14143313 20724292 |
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| DOI: | 10.3390/rs14143313 |
| Published in: | Remote Sensing |
| Language: | English |