IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v114y2022i3d10.1007_s11069-022-05545-y.html
   My bibliography  Save this article

Changes in rainfall rates and increased number of extreme rainfall events in Rio de Janeiro city

Author

Listed:
  • Amanda de O. Regueira

    (Federal Rural University of Rio de Janeiro (UFRRJ))

  • Henderson Silva Wanderley

    (Federal Rural University of Rio de Janeiro (UFRRJ))

Abstract

Increased temperature rates have the potential to change the rainfall regime in a given region, as well as to intensify its extreme events, which may lead to significant and negative socioeconomic and environmental impacts on urban populations. However, knowledge about the extent of changes in rainfall rates in Rio de Janeiro City (RJC) remains incipient; thus, it is necessary applying indices climate change to help better understanding this phenomenon. The aim of the current study is to investigate changes in rainfall distribution and increase in the number of extreme rainfall events in RJC. Daily rainfall data deriving from fifteen weather stations distributed in RJC were analyzed in the RclimDex software and Mann–Kendall test. The analysis has shown increased rainfall rates from the beginning of the series to approximately the first ten years of study. Total rainfall rate has decreased after this period. Rainfall intensity in almost all seasons has decreased after 2005; this outcome has indicated reduced annual rainfall rate and number of wet days. However, there was prevalence of positive trends in daily rainfall rates (Rx1day) and in total rainfall of five consecutive days (Rx5day). The increased number of extreme rainfall events in RJC can cause sudden inundations, floods, runoffs and river overflows with potential to cause landslides and human death due to irregular occupation of hills and slopes.

Suggested Citation

  • Amanda de O. Regueira & Henderson Silva Wanderley, 2022. "Changes in rainfall rates and increased number of extreme rainfall events in Rio de Janeiro city," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 114(3), pages 3833-3847, December.
    • Handle: RePEc:spr:nathaz:v:114:y:2022:i:3:d:10.1007_s11069-022-05545-y
    DOI: 10.1007/s11069-022-05545-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-022-05545-y
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11069-022-05545-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Nathan S. Debortoli & Pedro Ivo M. Camarinha & José A. Marengo & Regina R. Rodrigues, 2017. "An index of Brazil’s vulnerability to expected increases in natural flash flooding and landslide disasters in the context of climate change," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 86(2), pages 557-582, March.
    2. Wanderson Luiz-Silva & Antonio Carlos Oscar-Júnior, 2022. "Climate extremes related with rainfall in the State of Rio de Janeiro, Brazil: a review of climatological characteristics and recorded trends," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 114(1), pages 713-732, October.
    3. Greg Oulahen & Dan Shrubsole & Gordon McBean, 2015. "Determinants of residential vulnerability to flood hazards in Metro Vancouver, Canada," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 78(2), pages 939-956, September.
    4. Kevin E. Trenberth & John T. Fasullo & Theodore G. Shepherd, 2015. "Attribution of climate extreme events," Nature Climate Change, Nature, vol. 5(8), pages 725-730, August.
    5. Niklas Boers & Bedartha Goswami & Aljoscha Rheinwalt & Bodo Bookhagen & Brian Hoskins & Jürgen Kurths, 2019. "Complex networks reveal global pattern of extreme-rainfall teleconnections," Nature, Nature, vol. 566(7744), pages 373-377, February.
    6. Ewa Lechowska, 2018. "What determines flood risk perception? A review of factors of flood risk perception and relations between its basic elements," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 94(3), pages 1341-1366, December.
    7. Anna Scolobig & B. Marchi & M. Borga, 2012. "The missing link between flood risk awareness and preparedness: findings from case studies in an Alpine Region," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 63(2), pages 499-520, September.
    8. Xuebin Zhang & Lisa Alexander & Gabriele C. Hegerl & Philip Jones & Albert Klein Tank & Thomas C. Peterson & Blair Trewin & Francis W. Zwiers, 2011. "Indices for monitoring changes in extremes based on daily temperature and precipitation data," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 2(6), pages 851-870, November.
    9. Wei Zhang & Gabriele Villarini, 2017. "Heavy precipitation is highly sensitive to the magnitude of future warming," Climatic Change, Springer, vol. 145(1), pages 249-257, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jessica B. Moraes & Henderson S. Wanderley & Rafael C. Delgado, 2023. "Areas susceptible to desertification in Brazil and projected climate change scenarios," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 116(2), pages 1463-1483, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Renato Marques Sanches Pereira & Henderson Silva Wanderley & Rafael Coll Delgado, 2022. "Homogeneous regions for rainfall distribution in the city of Rio de Janeiro associated with the risk of natural disasters," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 111(1), pages 333-351, March.
    2. Yi Ge & Guangfei Yang & Xiaotao Wang & Wen Dou & Xueer Lu & Jie Mao, 2021. "Understanding risk perception from floods: a case study from China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 105(3), pages 3119-3140, February.
    3. Jean Nsabimana & Sabine Henry & Aloys Ndayisenga & Désiré Kubwimana & Olivier Dewitte & François Kervyn & Caroline Michellier, 2023. "Geo-Hydrological Hazard Impacts, Vulnerability and Perception in Bujumbura (Burundi): A High-Resolution Field-Based Assessment in a Sprawling City," Land, MDPI, vol. 12(10), pages 1-26, October.
    4. Da Kuang & Kuei-Hsien Liao, 2022. "How does flood resistance affect learning from flood experiences? A study of two communities in Central China," Climatic Change, Springer, vol. 173(1), pages 1-21, July.
    5. Christopher A. Freimund & Gregg M. Garfin & Laura M. Norman & Larry A. Fisher & James L. Buizer, 2022. "Flood resilience in paired US–Mexico border cities: a study of binational risk perceptions," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 112(2), pages 1247-1271, June.
    6. Christoph Clar & Lukas Löschner & Ralf Nordbeck & Tatjana Fischer & Thomas Thaler, 2021. "Population dynamics and natural hazard risk management: conceptual and practical linkages for the case of Austrian policy making," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 105(2), pages 1765-1796, January.
    7. Pilar Lopez-Llompart & G. Mathias Kondolf, 2016. "Encroachments in floodways of the Mississippi River and Tributaries Project," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(1), pages 513-542, March.
    8. Jones, Lindsey & d'Errico, Marco, 2019. "Whose resilience matters? Like-for-like comparison of objective and subjective evaluations of resilience," World Development, Elsevier, vol. 124(C), pages 1-1.
    9. Nicolás Bronfman & Pamela Cisternas & Esperanza López-Vázquez & Luis Cifuentes, 2016. "Trust and risk perception of natural hazards: implications for risk preparedness in Chile," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(1), pages 307-327, March.
    10. Mutlu, Asli & Roy, Debraj & Filatova, Tatiana, 2023. "Capitalized value of evolving flood risks discount and nature-based solution premiums on property prices," Ecological Economics, Elsevier, vol. 205(C).
    11. Yang, Ya Ling, 2020. "Comparison of public perception and risk management decisions of aircraft noise near Taoyuan and Kaohsiung International Airports," Journal of Air Transport Management, Elsevier, vol. 85(C).
    12. Jantsje M. Mol & W. J. Wouter Botzen & Julia E. Blasch & Hans de Moel, 2020. "Insights into Flood Risk Misperceptions of Homeowners in the Dutch River Delta," Risk Analysis, John Wiley & Sons, vol. 40(7), pages 1450-1468, July.
    13. Chang, Chiung-Ting, 2017. "Risk factors associated with flying in adverse weather: From the passengers' point of view," Journal of Air Transport Management, Elsevier, vol. 58(C), pages 68-75.
    14. Kaiwen Li & Ming Wang & Kai Liu, 2021. "The Study on Compound Drought and Heatwave Events in China Using Complex Networks," Sustainability, MDPI, vol. 13(22), pages 1-15, November.
    15. Giuseppe Lucio Gaeta & Stefano Ghinoi & Matteo Masotti & Francesco Silvestri, 2021. "Economics research and climate change. A Scopus-based bibliometric investigation," SEEDS Working Papers 0321, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Apr 2021.
    16. Mohamed Kefi & Binaya Kumar Mishra & Yoshifumi Masago & Kensuke Fukushi, 2020. "Analysis of flood damage and influencing factors in urban catchments: case studies in Manila, Philippines, and Jakarta, Indonesia," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 104(3), pages 2461-2487, December.
    17. Vieri Tarchiani & Giovanni Massazza & Maurizio Rosso & Maurizio Tiepolo & Alessandro Pezzoli & Mohamed Housseini Ibrahim & Gaptia Lawan Katiellou & Paolo Tamagnone & Tiziana De Filippis & Leandro Rocc, 2020. "Community and Impact Based Early Warning System for Flood Risk Preparedness: The Experience of the Sirba River in Niger," Sustainability, MDPI, vol. 12(5), pages 1-24, February.
    18. Leto Peel & Tiago P. Peixoto & Manlio De Domenico, 2022. "Statistical inference links data and theory in network science," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    19. Nico Wunderling & Frederik Wolf & Obbe A. Tuinenburg & Arie Staal, 2022. "Network motifs shape distinct functioning of Earth’s moisture recycling hubs," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
    20. Pablo Méndez-Lázaro & Frank E. Muller-Karger & Daniel Otis & Matthew J. McCarthy & Marisol Peña-Orellana, 2014. "Assessing Climate Variability Effects on Dengue Incidence in San Juan, Puerto Rico," IJERPH, MDPI, vol. 11(9), pages 1-20, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:nathaz:v:114:y:2022:i:3:d:10.1007_s11069-022-05545-y. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.