Meta-Analysis and Visualization of the Literature on Early Identification of Flash Floods
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 sudde...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-07-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/14/14/3313 |
| _version_ | 1827604430506164224 |
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| author | Zhengli Yang Xinyue Yuan Chao Liu Ruihua Nie Tiegang Liu Xiaoai Dai Lei Ma Min Tang Yina Xu Heng Lu |
| author_facet | Zhengli Yang Xinyue Yuan Chao Liu Ruihua Nie Tiegang Liu Xiaoai Dai Lei Ma Min Tang Yina Xu Heng Lu |
| author_sort | Zhengli Yang |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T05:58:54Z |
| format | Article |
| id | doaj.art-19261261ba8f467884641029e4cf107c |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T05:58:54Z |
| publishDate | 2022-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-19261261ba8f467884641029e4cf107c2023-12-03T12:10:29ZengMDPI AGRemote Sensing2072-42922022-07-011414331310.3390/rs14143313Meta-Analysis and Visualization of the Literature on Early Identification of Flash FloodsZhengli Yang0Xinyue Yuan1Chao Liu2Ruihua Nie3Tiegang Liu4Xiaoai Dai5Lei Ma6Min Tang7Yina Xu8Heng Lu9State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, ChinaState Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, ChinaState Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, ChinaState Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, ChinaState Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, ChinaCollege of Earth Science, Chengdu University of Technology, Chengdu 610059, ChinaSchool of Geography and Ocean Science, Nanjing University, Nanjing 210093, ChinaChina Railway Eryuan Engineering Group Co., Ltd., Chengdu 610031, ChinaChina Railway Eryuan Engineering Group Co., Ltd., Chengdu 610031, ChinaState Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, ChinaFlash 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.https://www.mdpi.com/2072-4292/14/14/3313flash floodsidentifyprecipitationsedimentsensitivity analysisrisk assessment |
| spellingShingle | Zhengli Yang Xinyue Yuan Chao Liu Ruihua Nie Tiegang Liu Xiaoai Dai Lei Ma Min Tang Yina Xu Heng Lu Meta-Analysis and Visualization of the Literature on Early Identification of Flash Floods Remote Sensing flash floods identify precipitation sediment sensitivity analysis risk assessment |
| title | Meta-Analysis and Visualization of the Literature on Early Identification of Flash Floods |
| title_full | Meta-Analysis and Visualization of the Literature on Early Identification of Flash Floods |
| title_fullStr | Meta-Analysis and Visualization of the Literature on Early Identification of Flash Floods |
| title_full_unstemmed | Meta-Analysis and Visualization of the Literature on Early Identification of Flash Floods |
| title_short | Meta-Analysis and Visualization of the Literature on Early Identification of Flash Floods |
| title_sort | meta analysis and visualization of the literature on early identification of flash floods |
| topic | flash floods identify precipitation sediment sensitivity analysis risk assessment |
| url | https://www.mdpi.com/2072-4292/14/14/3313 |
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