Abstract
Floods have caused socio-economic and environmental damage globally and, thus, require research. Several factors influence flooding events, such as extreme rainfall, physical characteristics, and local anthropogenic factors; therefore, such factors are essential for mapping flood risk areas and enabling measures that mitigate the damage they cause. This study aimed to map and analyze regions susceptible to flood risk in three different study areas belonging to the same Atlantic Forest biome, in which flood disasters are recurrent. Due to the presence of numerous factors, a multicriteria analysis using the Analytical Hierarchical Process was conducted. First, a geospatial database was composed of layers of elevation, slope, drainage distance, soil drainage, soil hydrological group, precipitation, relief, and land use and cover. Flood risk maps for the study area were then generated, and patterns in the study areas were verified, with the greatest influence being exerted by intense precipitation on consecutive days, elevation at the edges of the channel with low altimetric variation and a flat combination, densely built areas close to the banks of the main river, and an expressive water mass in the main watercourse. The results demonstrate that these characteristics together can indicate the occurrence of flooding events.
Similar content being viewed by others
Availability of data and material, code availability
The data used are available on public consultation platforms and the software are free.
References
Agência Nacional de Águas (ANA) (2022) Hidroweb - Snirh. <https://www.snirh.gov.br>. Accessed December 2022
Almeida AK, de Almeida IK, Guarienti JA, Gabas SG (2022) The time of concentration application in studies around the world: a review. Environ Sci Pollut Res Int 29(6):8126–8172. https://doi.org/10.1007/s11356-021-16790-2
Almeida AK, de Almeida IK, Carvalho GA, Franzoloso CRG (2015) Análise e Gestão de Risco: Requisito Fundamental em Projeto Eficaz e Proteção e Combate a Incêndio. Rev Ciênc Gerenciais 19(30):19–28
Almeida IK, Almeida AK, Gabas SG, Alves Sobrinho T (2017) Performance of methods for estimating the time of concentration in a watershed of a tropical region. Hydrol Sci J 62(14):2406–2414. https://doi.org/10.1080/02626667.2017.1384549
Almeida LVF, Kameya LC, Correa JM, Almeida AK, de Almeida IK (2021) Multivariate analysis of factors influencing the peak flow and runoff volume in the Cerrado and Atlantic Forest biomes in Brazil. Environ Monit Assess 193(10):1–15. https://doi.org/10.1007/s10661-021-09408-0
Arabameri A et al (2019) A comparison of statistical methods and multi-criteria decision making to map flood hazard susceptibility in Northern Iran. Sci Total Environ 660:443–458. https://doi.org/10.1016/j.scitotenv.2019.01.021
Brasil (2020) Ministério da Integração Nacional. Accessed: 10 nov. Secretaria nacional de defesa civil. Banco de Dados e Registros de Desastres: Sistema Integrado de Informações Sobre Desastres–S2ID, 2020
Canabrava Neto EG, Almeida AK, Leite IR, Guarienti JA, de Almeida IK (2021) Telhado verde: alternativa sustentável para a drenagem do escoamento superficial. IX Sustentável 7(2):125–136. https://doi.org/10.29183/2447-3073.MIX2021.v7.n2.125-136
Centro Nacional de Monitoramento e Alertas de Desastres Naturais (CEMADEN) (2021) <http://www.cemaden.gov.br>. Accessed 21 Jan 2021
Centro Universitário de Estudos e Pesquisas Sobre Desastres, Universidade Federal de Santa Catarina - CEPED UFSC (2013) Atlas Brasileiro de Desastres Naturais – 1991 a 2012. In: Volume Paraná, 2nd ed rev ampl edn. CEPED, Florianópolis
Centro Universitário de Estudos E Pesquisas Sobre Desastres, Universidade Federal de Santa Catarina - CEPED UFSC (2013b) Atlas Brasileiro de Desastres Naturais – 1991 a 2012. In: Volume Santa Catarina, 2nd ed rev ampl edn. CEPED, Florianópolis
Centro Universitário de Estudos E Pesquisas Sobre Desastres, Universidade Federal de Santa Catarina - CEPED UFSC (2013c) Atlas Brasileiro de Desastres Naturais – 1991 a 2012. In: Volume Minas Gerais, 2 ed. rev ampl edn. CEPED, Florianópolis
Chakraborty S, Mukhopadhyay S (2019) Assessing flood risk using analytical hierarchy process (AHP) and geographical information system (GIS): application in Coochbehar district of West Bengal, India. Nat Hazards 99(1):247–274. https://doi.org/10.1007/s11069-019-03737-7
Costa CMDSB, Almeida AK, Fenerick TF, de Almeida IK (2022) Analysis of indicators of surface water pollution in Atlantic Forest preservation areas. Environ Monit Assess 194(3):1–26. https://doi.org/10.1007/s10661-021-09687-7
Das S (2018) Geographic information system and AHP-based flood hazard zonation of Vaitarna basin, Maharashtra, India. Arab J Geosci 11(19):1–13. https://doi.org/10.1007/s12517-018-3933-4
Das S, Gupta A (2021) Multi-criteria decision based geospatial mapping of flood susceptibility and temporal hydro-geomorphic changes in the Subarnarekha basin. India Geosci Front 12(5):101206. https://doi.org/10.1016/j.gsf.2021.101206
Dou X et al (2018) Flood risk assessment and mapping based on a modified multi-parameter flood hazard index model in the Guanzhong Urban Area, China. Stoch Env Res Risk A 32(4):1131–1146. https://doi.org/10.1007/s00477-017-1429-5
Embrapa. Empresa Brasileira de Pesquisa Agropecuária (2006) Sistema Brasileiro de classificação de solos, 2nd edn. Embrapa, Brasília
FIDE – Formulário de Informação de Desastre (2013) Available in: < https://s2id.mi.gov.br>. Accessed 24 June 2021
FIDE – Formulário de Informação de Desastre (2014) Acesso em: 24 de Junho de 2021. Disponível em: < https://s2id.mi.gov.br>
Instituto Brasileiro de Geografia e Estatística (IBGE) (2022) Downloads. Disponível em: <https://portaldemapas.ibge.gov.br/>. Accessed 10 Jan 2022
Hammami S, Zouhri L, Souissi D, Souei A, Zghibi A, Marzougui A, Dlala M (2019) Application of the GIS based multi-criteria decision analysis and analytical hierarchy process (AHP) in the flood susceptibility mapping (Tunisia). Arab J Geosci 12:1–16
Harley P, Samanta S (2018) Modeling of inland flood vulnerability zones through remote sensing and GIS techniques in the highland region of Papua New Guinea. Applied Geomatics 10(2):159–171. https://doi.org/10.1007/s12518-018-0220-8
Lima CAS, Heck HAD, Almeida AK, da Silva Marques L, de Souza RS, de Almeida IK (2022) Multicriteria analysis for identification of flood control mechanisms: application to extreme events in cities of different Brazilian regions. Int J Disaster Risk Reduct 71:102769. https://doi.org/10.1016/j.ijdrr.2021.102769
Lopes PVF, Costa CMDSB, Almeida AK, de Almeida IK (2022) Sustainability assessment model for Brazilian hydroelectric projects using multicriteria analysis. Sustain Energy Technol Assess 51:101851. https://doi.org/10.1016/j.seta.2021.101851
Mahmoud SH, Gan TY (2018) Multi-criteria approach to develop flood susceptibility maps in arid regions of Middle East. J Clean Prod 196:216–229. https://doi.org/10.1016/j.jclepro.2018.06.047
MAPBIOMAS. 2013. Coleção 6 da Série Anual de Mapas de Cobertura e Uso de Solo do Brasil. Acessado em 09 de Dezembro de 2021, através do link: <http://mapbiomas.org/>
MAPBIOMAS. 2014. Coleção 6 da Série Anual de Mapas de Cobertura e Uso de Solo do Brasil. Acessado em 09 de Dezembro de 2021, através do link: <http://mapbiomas.org/>
Mohamed SA, El-Raey ME (2020) Vulnerability assessment for flash floods using GIS spatial modeling and remotely sensed data in El-Arish City, North Sinai. Egypt Nat Hazards 102(2):707–728. https://doi.org/10.1007/s11069-019-03571-x
Msabi MM, Makonyo M (2021) Flood susceptibility mapping using GIS and multi-criteria decision analysis: a case of Dodoma region, central Tanzania. Remote Sens Appl: Soc Environ 21:100445
Nsangou D, Kpoumié A, Mfonka Z, Ngouh AN, Fossi DH, Jourdan C, Mbele HZ, Mouncherou OF, Vandervaere JP, Ngoupayou JRN (2022) Urban flood susceptibility modelling using AHP and GIS approach: case of the Mfoundi watershed at Yaoundé in the South-Cameroon plateau. Sci Afr 15:e01043. https://doi.org/10.1016/j.sciaf.2021.e01043
Oliveira ACC, Almeida AK, Guarienti JA, Lima CAS, de Almeida LVF, de Souza RS, de Almeida IK (2021) Extreme precipitation events and associated risk of failure in hydraulic projects in the state of Mato Grosso do Sul, Brazil. https://doi.org/10.29183/2447-3073.MIX2021.v7.n2.147-160
QGIS Development Team (2020) QGIS Geographic Information System. Open Source Geospatial Foundation Project. Acesso em: 01 de Outubro de 2020. Disponível em: <https://qgis.org/downloads/>
R-Project. 2020 Aplicativo Computacional R. Acesso em: 30 de Setembro de 2020. Dsiponível em: <https://www.r-project.org/>
Saaty TL (1977) A scaling method for priorities in hierarchical structures. J Math Psychol 15(3):234–281. https://doi.org/10.1016/0022-2496(77)90033-5
Saaty TL (1990) How to make a decision: the analytic hierarchy process. Eur J Oper Res 48(1):9–26. https://doi.org/10.1016/0377-2217(90)90057-I
Saaty TL (1991) Some mathematical concepts of the analytic hierarchy process. Behaviormetrika 18:1–9. https://doi.org/10.2333/bhmk.18.29_1
Souissi D, Zouhri L, Hammami S, Msaddek MH, Zghibi A, Dlala M (2020) GIS-based MCDM–AHP modeling for flood susceptibility mapping of arid areas, southeastern Tunisia. Geocarto Int 35(9):991–1017. https://doi.org/10.1080/10106049.2019.1566405
Surwase T, Manjusree P, Nagamani PV, Jaisankar G (2019) Novel technique for developing flood hazard map by using AHP: a study on part of Mahanadi River in Odisha. SN Appl Sci 1(10):1–14. https://doi.org/10.1007/s42452-019-1233-6
Swain KC, Singha C, Nayak L (2020) Flood susceptibility mapping through the GIS-AHP technique using the cloud. ISPRS Int J Geo Inf 9(12):720
USGS – United States Geological Survey (2021) Available at: < https://earthexplorer.usgs.gov/>. Accessed 21 Dec 2021
Vojtek M, Vojteková J (2019) Flood susceptibility mapping on a national scale in Slovakia using the analytical hierarchy process. Water 11(2):364
Acknowledgements
The authors are grateful to the Conselho Nacional de Desenvolvimento Científico e Tecnológico – CNPq, to the Programa de Apoio à Pós-graduação – PROAP, and to the Federal University of Mato Grosso do Sul - UFMS for their support in the development of this work. This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) - Finance Code 001.
Funding
Not applicable.
Author information
Authors and Affiliations
Contributions
Sharon Kelly de Melo—conceptualization, methodology, software, validation, formal analysis, investigation, writing the original draft and review and editing, and visualization; Aleska Kaufmann Almeida—methodology, writing the original draft and review and editing, and visualization; Isabel Kaufmann de Almeida—conceptualization, methodology, validation, writing the original draft and review and editing, visualization, and supervision.
Corresponding author
Ethics declarations
Ethical approval and consent to participate
Not applicable
Consent for publication
All the authors agree with its submission and give their permission to publish.
Conflict of interest
The authors declare no competing interests.
Additional information
Responsible Editor: Philippe Garrigues
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
de Melo, S.K., Almeida, A.K. & de Almeida, I.K. Multicriteria analysis for flood risk map development: a hierarchical method applied to Brazilian cities. Environ Sci Pollut Res 30, 80311–80334 (2023). https://doi.org/10.1007/s11356-023-27856-8
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11356-023-27856-8