Avaliação de Risco a Inundações: Análise Bibliométrica entre 2010 e 2024
DOI:
https://doi.org/10.26848/rbgf.v19.03.p1568-1587Keywords:
hydrological disasters, risk management, hazard, vulnerabilityAbstract
Floods are one of the main and most devastating extreme hydrological events worldwide, causing more and more damage and losses, especially in developing countries. Risk assessment is one of the main mechanisms for managing the impacts caused by these events. This article aims to carry out a bibliometric review of the development of flood risk assessment between 2010 and 2024. The review was carried out using the Scopus database and the quantitative analysis using Bibliometrix software. Flood risk has become a concern on a global scale, reflecting an annual growth of 9.31 per cent in studies and publications related to this topic. China has the largest number of published articles and the journal Natural Hazards is the most important in this area. In recent years, the use of machine learning has been a trend in the field of flood risk assessment. Despite this growth and evolution in studies, two elements have still been used predominantly for risk assessment: hazard and vulnerability. However, recent research has introduced the degree of exposure as an important third element. To obtain more accurate and precise results, several authors have combined different flood risk assessment methodologies.
Downloads
References
Antwi-Agyakwa, K. T., Afenyo, M. K., & Angnuureng, D. B. (2023). Know to Predict, Forecast to Warn: A Review of Flood Risk Prediction Tools. Water, 15, 427, 1 – 24, https://doi.org/10.3390/w15030427
Ariaa, M., & Cuccurullo, C. (2017). Bibliometrix: An R-Tool for Comprehensive Science Mapping Analysis. Journal of Informetrics 11, 959–975, http://dx.doi.org/10.1016/j.joi.2017.08.007
Armenakis, C., Du, E. X., Natesan, S., Persad, R. A., & Zhang, Y. (2017). Flood Risk Assessment in Urban Areas Based on Spatial Analytics and Social Factors. Geosciences, 7, 123, 1 – 15, https://doi.org/10.3390/geosciences7040123
Awah, L. S., Belle, J. A., Nyam, Y. S., & Orimoloye, I. R. (2024). A Systematic Analysis of Systems Approach and Flood Risk Management Research: Trends, Gaps, and Opportunities. International Journal of Disaster Risk Science, 15:45–57, https://doi.org/10.1007/s13753-024-00544-y
Boultif, M., Kheloufi, B., Hachemi, A., & Mimeche, L. (2024). GIS‑Based Multi‑criteria Decision‑Making Techniques and Analytical Hierarchical Process for Flash Flood Risk Assessment Due to a Possible Dam Break in Urban Arid Environment: Case Study of Biskra City, Southern Algeria. Journal of the Indian Society of Remote Sensing, 52(5):1085–1097, https://doi.org/10.1007/s12524-024-01860-y
Cabrera, J. S. & Lee, H. S. (2020). Flood Risk Assessment for Davao Oriental in the Philippines Using Geographic Information System – Based Multi-Criteria Analysis and the Maximum Entropy Model. Journal Flood Risk Management. 13: e12607, 1 – 17, https://doi.org/10.1111/jfr3.12607
Chaudhary, U., Shah, M. A. R., Shakya, B. M., & Aryal, A. (2024). Flood Susceptibility and Risk Mapping of Kathmandu Valley Watershed, Nepal. Sustainability, 16, 7101, 1 – 28. https://doi.org/10.3390/su16167101
Chen, Y., Yeh, C., & Yu, B. (2011). Integrated Application of the Analytic Hierarchy Process and the Geographic Information System for Flood Risk Assessment and Flood Plain Management in Taiwan. Natural Hazards 59, 1261–1276, https://doi.org/10.1007/s11069-011-9831-7
Dang, N. M., Babel, M. S., & Luong, H. T. (2011). Evaluation of Food Risk Parameters in the Day River Flood Diversion Area, Red River Delta, Vietnam. Natural Hazards, 56, 169–194, https://doi.org/10.1007/s11069-010-9558-x
Dottori, F., Kalas, M., Salamon, P., Bianchi, A., Alfieri, L., & Feyen, L. Francesco et al. (2017). An operational procedure for Rapid flood risk assessment in Europe. Natural Hazards and Earth System Sciences, 17, 1111–1126, https://doi.org/10.5194/nhess-17-1111-2017
Duan, L., Liu, C., Xu, H., Huali, P., Liu, H., Yan, X., Liu, T., Yang, Z., Liu, G., Dai, X., Zhang, D., Fu, X., Liu, X., & Lu, H. (2022). Susceptibility Assessment of Flash Floods: A Bibliometrics Analysis and Review. Remote Sensing, 14, 5432, 1 – 34, https://doi.org/10.3390/rs14215432
El Baida, M., Boushaba, F., Chourak, M., Hosni, M., Sabar, H., & Zahaf, T. (2024). Flood Risk Decomposed: Optimized Machine Learning Hazard Mapping and Multi-Criteria Vulnerability Analysis in The City of Zaio, Morocco. Journal of African Earth Sciences 220, 105431, 1 – 13, https://doi.org/10.1016/j.jafrearsci.2024.105431
Grigg, N. S. (2023). Comprehensive Flood Risk Assessment: State of the Practice. Hydrology, 10, 46, https://doi.org/10.3390/hydrology10020046
Hinojos, S., McPhillips, L., Stempel, P., & Grady, C. (2023). Social and Environmental Vulnerability to Flooding: Investigating Cross-Scale Hypotheses. Applied Geography, v. 157, 103017. https://doi.org/10.1016/j.apgeog.2023.103017
Horvat, B., & Krvavica, N. (2023). Disaggregation of the Copernicus Land Use/Land Cover (LULC) and Population Density Data to Fit Mesoscale Flood Risk Assessment Requirements in Partially Urbanized Catchments in Croatia. Land, 12, 2014. https://doi.org/10.3390/land12112014
Hsu, WK., Huang, PC., Chang, CC., Chen, CW., Hung, DM., & Chiang, L. C. (2011). An integrated flood risk assessment model for property insurance industry in Taiwan. Natural Hazards 58, 1295–1309, https://doi.org/10.1007/s11069-011-9732-9
Hu, H., Yu, M., Zhang, X., & Wang, Y. (2024). Performance Benchmarking on Several Regression Models Applied in Urban Flash Flood Risk Assessment. Natural Hazards, 120:3487–3504, https://doi.org/10.1007/s11069-023-06341-y
Ianda, T. F., Kalid, R. A., Pessoa, F. L. P., Medeiros, D. L., Santos, D. S., & Padula, A. D. (2024). A Systematic Review of Approaches Developed and Used for The Environmental Assessment of Biorefineries. Journal of Cleaner Production 476, 143679, https://doi.org/10.1016/j.jclepro.2024.143679
Khan, B., Iqbal, M.J. & Yosufzai, M. A. K. (2011). Flood Risk Assessment of River Indus of Pakistan. Arabian Journal of Geosciences, 4, 115–122, https://doi.org/10.1007/s12517-009-0110-9
Khanal, N. R., Mool, P. K., Shrestha, A. B., Rasul, G., Ghimire, P. K., Shrestha, R. B., & Joshi, S. P. (2015). A Comprehensive Approach and Methods for Glacial Lake Outburst Flood Risk Assessment, With Examples from Nepal and The Transboundary Area. International Journal of Water Resources Development, 31:2, 219-237, https://doi.org/10.1080/07900627.2014.994116
Kougkoulos, I., Cook, S. J., Jomelli, V,, Clarke, L., Symeonakis, E., Dortch, J. M., Edwards, L. A., & Merad, M. (2018). Use of Multi-Criteria Decision Analysis to Identify Potentially Dangerous Glacial Lakes. Science of the Total Environment 621, 1453–1466, https://doi.org/10.1016/j.scitotenv.2017.10.083
Lazzarin, T., Vieira, D. P., Molinari, D., Ballio, F., & Defina, A. (2022). Flood Damage Functions Based on a Single Physics- And Data-Based Impact Parameter that Jointly Accounts for Water Depth and Velocity. Journal of Hydrology, 1 – 35, https://doi.org/10.1016/j.jhydrol.2022.127485.
Li, C., Wang, Y., Guo, B., Lu, Y., & Sun, N. (2024a). Street Community‑Level Urban Flood Risk Assessment Based on Numerical Simulation. Sustainability, 16, 6716, 1 – 32, https://doi.org/10.3390/su16166716
Li, Y., Gao, J., Yin, J., Liu, L., Zhang, C., & Wu, S. (2024b). Flood Risk Assessment of Areas under Urbanization in Chongqing, China, by Integrating Multi-Models. Remote Sensing, 16, 219. https://doi.org/10.3390/rs16020219
Löschner, L., Herrnegger, M., Apperl, B., Senoner, T., Seher, W., & Nachtnebel, H. P. (2017). Flood Risk, Climate Change and Settlement Development: A Micro-Scale Assessment of Austrian Municipalities. Regional Environmental Change, 17, 311–322, https://doi.org/10.1007/s10113-016-1009-0
Ma, M., Zhao, G., He, B., Li, Q., Dong, H.,Wang, S., Wang, Z. (2021). Xgboost-Based Method for Flash Flood Risk Assessment. Journal of Hydrology 598, 126382, 1 – 12, https://doi.org/10.1016/j.jhydrol.2021.126382
Merkuryeva, G., Merkuryev, Y., Sokolov, B. V., Potryasaev, S., Zelentsov, V. A., & Lektauers, A. (2015). Advanced river flood monitoring, modelling and forecasting. Journal of Computational Science 10, 77–85, http://dx.doi.org/10.1016/j.jocs.2014.10.004
Miguez, M. G., Gregório, L. T., & Veról, A. P. (2018). Gestão de Riscos e Desastres Hidrológicos. 1 ed., Rio de Janeiro: LTC, Elsevier.
Mojaddadi, H., Pradhan, B., Nampak, H., Ahmad, N., & Ghazali, A. H. bin. (2017). Ensemble Machine-Learning-Based Geospatial Approach for Flood Risk Assessment Using Multisensory Remote-Sensing Data and GIS. Geomatics, Natural Hazards and Risk, VOL. 8, NO. 2, 1080–1102, http://dx.doi.org/10.1080/19475705.2017.1294113
Mudashiru, R. B., Sabtu, N., Abustan, I., & Balogun, W. (2021). Flood hazard mapping methods: A review. Journal of Hydrology 603, 126846, 1 – 30, https://doi.org/10.1016/j.jhydrol.2021.126846
Mukhtar, M. A., Shangguan, D., Ding, Y., Anjum M. N., Banerjee, A., Butt, A. Q., Yadav, N., Li, D., Yang, Q., Khan, A. A., Muhammad, A., & He, B. B. (2024) (2024). Integrated Flood Risk Assessment in Hunza-Nagar, Pakistan: Unifying Big Climate Data Analytics and Multicriteria Decision-Making With GIS. Frontiers in Environmental Science, 12:1337081, https://doi.org/10.3389/fenvs.2024.1337081
Natkaniec, W., & Godyń, I. (2024). Urban Flood Risk Assessment and Mapping Using GIS-DEMATEL Method: Case of the Serafa River Watershed, Poland. Water, 16, 2636, 1 – 23, https://doi.org/10.3390/w16182636
Nguyen, T. L., Asahi, C., & Tran, T. A. (2023). A Systematic Review with Bibliometric Analysis of Different Approaches and Methodologies for Undertaking Flood Vulnerability Research. Sustainable Water Resources Management, 9:109, 1 – 20, https://doi.org/10.1007/s40899-023-00865-8
Oubennaceur, K., Chokmani, K., Nastev, M., Lhissou, R., & Alem, A. E. (2019). Flood Risk Mapping for Direct Damage to Residential Buildings in Quebec, Canada. International Journal of Disaster Risk Reduction 33, 44–54,https://doi.org/10.1016/j.ijdrr.2018.09.007
Owolabia, T. A. & Sajjad, M. (2023). A Global Outlook on Multi-Hazard Risk Analysis: A Systematic and Scientometric Review. International Journal of Disaster Risk Reduction 92, 103727,https://doi.org/10.1016/j.ijdrr.2023.103727
Papaioannou, G., Efstratiadis, A., Vasiliades, L., Loukas, A., Papalexiou, S. M., Koukouvinos, A., Tsoukalas, I., & Kossieris, P. (2018). An Operational Method for Flood Directive Implementation in Ungauged Urban Areas. Hydrology, 5, 24, 1 – 23, https://doi.org/10.3390/hydrology5020024
Passuelo, A., Giazzon, E., Jalowitzki, I., Bresolin, J., & Silva Filho, L. C. P. (2024). Indicadores de Vulnerabilidade a Desastres como eixo Condutor de Resiliência nas Ações de Reconstrução. CEPEDRS – Centro Universitário de Estudos e Pesquisas sobre Desastres, Universidade Federal do Rio Grande do Sul
Peng, L., & Li, Z. (2021). Ensemble Flood Risk Assessment in the Yangtze River Economic Belt under CMIP6 SSP-RCP Scenarios. Sustainability, 13, 12097. https://doi.org/10.3390/su132112097
Prahani, B. K., Rizki, I. A., Suprapta, N., Irwanto, I., & Kurtulus, M. A. (2024). Mapping Research on Scientific Creativity: A Bibliometric Review of the Literature in the Last 20 Years. Thinking Skills and Creativity 52, 101495, 1 – 20, https://doi.org/10.1016/j.tsc.2024.101495
Quevedo, R. P., Guasselli, L. A., Passuello, A. C., & Giazzon, E. M. A. (2019). Gestão de Risco de Desastres e Resiliência, Município de Encantado – RS. In: PRANDEL, Jéssica A. (Org.). Redução de riscos de desastres: Métodos e Práticas. Ponta Grossa (PR): Atena Editora, E-book. Disponível em: https://educapes.capes.gov.br/bitstream/capes/432652/1/E-book-Reducao-de-Riscos-de-Desastres-Metodos-e-Praticas.pdf
Rahman, Md. M., Kamruzzaman, M., Deb, L., & Islam, H. M. T. (2025). Flood Mapping, Damage Assessment, and Susceptibility Zonation in Northeastern Bangladesh in 2022 using Geospatial Datasets. Progress in Disaster Science, v. 25, 100402, 1 – 18, https://doi.org/10.1016/j.pdisas.2024.100402
Ramos, P. de A. de S., Oliveira, G. G., Brito, M. M. de, & Filho, L. C. P. da S. (2018). Proposta Metodológica para o Mapeamento da Vulnerabilidade a Inundações. Anuário do Instituto de Geociências – UFRJ, vol. 41 – 3, 281 – 291, ISSN 0101-9759/e-ISSN 1982-3908, http://dx.doi.org/10.11137/2018_3_281_291
Rincón, D., Khan, U. T., & Armenakis, C. (2018). Flood Risk Mapping Using GIS and Multi-Criteria Analysis: A Greater Toronto Area Case Study. Geosciences, 8, 275; 2 – 27, https://doi.org/10.3390/geosciences8080275
Rodriguez-Soler, R., Uribe-Toril, J., & Valenciano, J. P. (2020). Worldwide Trends in the Scientific Production on Rural Depopulation, a Bibliometric Analysis Using Bibliometrix R-Tool. Land Use Policy 97, 104787, https://doi.org/10.1016/j.landusepol.2020.104787
Romali, N. S., Yusop, Z., Sulaiman, M., & Ismail, Z. (2018). Flood Risk Assessment: A Review of Flood Damage Estimation Model for Malaysia. Jurnal teknologi, 80:3, 145–153, eISSN 2180–3722, https://doi.org/10.11113/jt.v80.11189
Roy, S., Bose, A., & Chowdhury, I. R. (2021). Flood risk Assessment Using Geospatial Data and Multi-Criteria Decision Approach: a Study From Historically Active Flood-Prone Region of Himalayan Foothill, India. Arabian Journal of Geosciences 14: 999, https://doi.org/10.1007/s12517-021-07324-8
Tang, Z., Zhang, H., Yi, S., & Xiao, Y. (2018). Assessment of flood susceptible areas using spatially explicit, probabilistic multi-criteria decision analysis. Journal of Hydrology 558, 144–158, https://doi.org/10.1016/j.jhydrol.2018.01.033
Tayyab, M., Hussain, M., Zhang, J., Ullah, S., Tong, Z., Rahman, Z. U., Al-Aizar, A. R., & Al-Shaibah, B. (2024). Leveraging GIS-Based AHP, Remote Sensing, and Machine Learning for Susceptibility Assessment of Different Flood Types in Peshawar, Pakistan. Journal of Environmental Management 371, 123094, 1 – 18, https://doi.org/10.1016/j.jenvman.2024.123094
Tsakiris, G. (2014). Flood Risk Assessment: Concepts, Modelling, Applications. Natural Hazards Earth System Sciences, 14, 1361–1369, https://doi.org/10.5194/nhess-14-1361-2014
Vegad, U., Pokhrel, Y., & Mishra, V. (2024). Flood Risk Assessment for Indian Sub-Continental River Basins. Hydrology and Earth System Sciences, 28, 1107–1126, https://doi.org/10.5194/hess-28-1107-2024
Vitry, M. M., Kramer, S., Wegner, J. D., and Leitão, J. P. (2019). Scalable Flood Level Trend Monitoring with Surveillance Cameras Using a Deep Convolutional Neural Network. Hydrology and Earth System Sciences, 23, 4621–4634, https://doi.org/10.5194/hess-23-4621-2019
Vojinovic, Z., Hammond, M., Golub, D., Hirunsalee, S., Weesakul, S., Meesuk, V., Medina, N., Sanchez, A., Kumara, S., & Abbott, M. (2016). Holistic Approach to Flood Risk Assessment in Areas with Cultural Heritage: A Practical Application in Ayutthaya, Thailand. Natural Hazards 81, 589–616, https://doi.org/10.1007/s11069-015-2098-7
Wagner, C. S., Whetsell, T. A., & Leydesdorff, L. (2017). Growth of International Collaboration in Science: Revisiting Six Specialties. Scientometrics 110, 1633 – 1652, DOI 10.1007/s11192-016-2230-9
Wang, H., Zhou, J., Tang, Y., Liu, Z., Kang, A., & Chen, B. (2021). Flood Economic Assessment of Structural Measure Based on Integrated Flood Risk Management: A Case Study in Beijing. Journal of Environmental Management 280, 111701, 1 – 9, https://doi.org/10.1016/j.jenvman.2020.111701
Wei, W. & Jiang, Z. (2023). A Bibliometrix-Based Visualization Analysis of International Studies on Conversations of People with Aphasia: Present and Prospects. Heliyon 9, e16839, https://doi.org/10.1016/j.heliyon.2023.e16839
Wu, X., Zhu, H., Hu, L., Meng, J., & Sun, F. (2024). Analysis of Short-Term Heavy Rainfall-Based Urban Flood Disaster Risk Assessment Using Integrated Learning Approach. Sustainability, 16, 8249. https://doi.org/10.3390/su16188249
Wu, Y., Zhong, P., Zhang, Y., Xu, B., Ma, B., & Yan, K. (2015). Integrated Flood Risk Assessment and Zonation Method: A Case Study in Huaihe River Basin, China. Natural Hazards 78, 635–651, https://doi.org/10.1007/s11069-015-1737-3
Xafoulis, N., Kontos, Y., Farsirotou, E., Kotsopoulos, S., Perifanos, K., Alamanis, N., Dedousis, D., & Katsifarakis, K. (2023). Evaluation of Various Resolution DEMs in Flood Risk Assessment and Practical Rules for Flood Mapping in Data-Scarce Geospatial Areas: A Case Study in Thessaly, Greece. Hydrology, 10, 91. https://doi.org/10.3390/hydrology10040091
Zou, Q., Zhou, J., Zhou, C., Song, L., & Guo, J. (2013). Comprehensive Flood Risk Assessment Based on Set Pair Analysis-Variable Fuzzy Sets Model and Fuzzy AHP. Stochastic Environmental Research and Risk Assessment 27; 525–546 https://doi.org/10.1007/s00477-012-0598-5
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 1969 Mahomed Shabir Jussub Mia, Professor, Professor
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with Revista Brasileira de Geografia Física agree to the following terms:
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
Authors are permitted to make their work available online before or during the editorial process, on academic social networks, digital repositories, or preprint servers. After publication in Revista Brasileira de Geografia Física, authors are expected to update the preprint or postprint versions on the platforms where they were originally made available, providing a link to the final published version and any other relevant information, with proper recognition of authorship and the initial publication in this journal.
You are free to:
Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
Adapt — remix, transform, and build upon the material for any purpose, even commercially.
The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
