Skip to main content

Tropical Cyclone Idai and Flood Hazard Modelling in the Eastern Parts of the Save Catchment, Zimbabwe

  • Chapter
  • First Online:
Cyclones in Southern Africa

Part of the book series: Sustainable Development Goals Series ((SDGS))

  • 297 Accesses

Abstract

Floods are the most frequent and destructive natural disaster affecting human settlements, livelihoods and the environment. Over the past two decades, economic losses due to hydro-climatic disasters such as flooding have risen more than threefold. Although floods cannot be prevented completely, their impact can be reduced through appropriate preparation and organisation in areas that are at risk. This research aimed at modelling the flood hazard occurrence in the eastern parts of the Save Catchment of Zimbabwe. The height above channel base for the study catchments, together with the flood presence and absence data were run in a logistic regression and in a Geographic Information System (GIS) to determine the probability of flood occurrence at specific places. The results show a significant negative relationship between the height above channel base and flood-risk probability. Over 20% of the studied catchment area is noted to be flood safe, and 62% is shown to be moderately vulnerable to flooding. A further 18% of the area is zoned to be at high risk of flooding. Well-engineered institutions and stakeholders were found to be key in the effective utilisation of flood-risk maps generated from GIS projects to enhance community resilience to flooding. Furthermore, a contingent flood hazard management plan has been produced for the area.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Albano, R., Mancusi, L., Sole, A., Adamowski, J. (2015). Collaborative strategies for sustainable EU flood risk management: FOSS and geospatial tools – challenges and opportunities for operative risk management. ISPRS International Journal of GeoInformation, 4(4), pp. 2704-2727.

    Article  Google Scholar 

  • Bui, D.T., Tuan, T.A., Klempe, H., Pradhan, B., Revhaug, I. (2015). Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree. Landslides. https://doi.org/10.1007/s10346-015-0557-6.

  • Chadburn, O., Ocharan, T.J., Kenst, K. (2010). Cost benefit analysis for community based climate and disaster risk management: synthesis report. Retrieved from: https://www.preventionweb.net/files/14851_FinalCBASynthesisReportAugust2010.pdf. (Accessed 10 September 2019).

  • Chikodzi, D. (2018). Unusual waterscapes and precarious rural livelihoods: Occurrence, utilisation and conservation of springs in the Save Catchment, Zimbabwe. Thesis submitted to the University of the Western Cape, Cape Town.

    Google Scholar 

  • Chikodzi, D., Tevera D., Mazvimavi, D. (2020). SDG 15 and Socioecological Sustainability: Spring Waterscapes and Rural Livelihoods in the Save Catchment of Zimbabwe. In G. Nhamo et al. (eds.), Scaling up SDGs Implementation, Sustainable Development Goals Series, https://doi.org/10.1007/978-3-030-33216-7_4.

  • Chingombe W., Pedzisai, E., Manatsa, D., Mukwada, G., Taru, P. (2015). A participatory approach in GIS data collection for flood risk management, Muzarabani district, Zimbabwe. Arab J Geosci, 8:1029–1040.https://doi.org/10.1007/s12517-014-1265-6.

    Article  Google Scholar 

  • Dai, F.C., Lee, C.F. (2002). Landslide characteristics and slope instability modeling using GIS, Lantau Island, Hong Kong. Geomorphology 42, 213–228.

    Article  Google Scholar 

  • Deo, A., Ganer, D. (2014). Tropical Cyclone Activity Over the Indian Ocean in the Warmer Climate. Monitoring and Prediction of Tropical Cyclones in the Indian Ocean and Climate Change, Springer, pp. 72–80.

    Google Scholar 

  • FEWSNET. (2000). Assessment of the Impact of Cyclone Eline (February 2000) on the Food, Agriculture and Natural Resource Sector in Zimbabwe. Retrieved from: https://fews.net/sites/default/files/documents/reports/1000050.pdf. (Accessed 9 September 2020).

  • Franci, F., Mandanici, E., Bitelli, G. (2015). Remote sensing analysis for flood risk management in urban sprawl contexts. Geomatics, Natural Hazards and Risk, 6(5-7): 583-599.

    Article  Google Scholar 

  • Gumindoga, W., Chikodzi, D., Rwasoka, D., Mutowo, G., Togarepi, S., Dube T. (2014). The spatio-temporal variation of the 2014 Tokwe-Mukosi floods: a GIS and Remote Sensing based approach. Journal of Science, Engineering and Technology, 1(2), pp 1-10.

    Google Scholar 

  • Jaha, A. K., Bloch, R., Lamond, J. (2012). Cities and flooding: a guide to integrated urban flood risk management for the 21st century. World Bank Publications. pp 496-573.

    Google Scholar 

  • Keys, C., Angus, D., Benning, N. (1996). Developing our expertise in the management of flooding: some recent initiatives. Australian Journal of Emergency Management, 11 (4), 38 – 43.

    Google Scholar 

  • Khaing, Z.M., Zhang, K., Sawano, H., Shrestha, B.B., Sayama T., Nakamura, K. (2019). Flood hazard mapping and assessment in data-scarce Nyaungdon area, Myanmar. PLoS ONE 14(11): e0224558. https://doi.org/10.1371/journal.pone.0224558.

    Article  Google Scholar 

  • Kwang, C., Osei, E.M. (2017). Accra flood modelling through application of geographic information systems (GIS), remote sensing techniques and analytical hierarchy process. J Remote Sensing & GIS 6: 191. https://doi.org/10.4172/2469-4134.1000191.

    Article  Google Scholar 

  • Madamombe, E.K., (2004). Zimbabwe: Flood Management Practices Selected Flood Prone Areas: Zambezi Basin. World Meteorological Organisation,2004. Associated Programme Flood Management Technical Document No. 1, 2nd Edition. http://www.apfm.info/pdf/case_studies/zimbabwe.pdf. (Accessed 23 November 2019).

  • Mahmood, A. (2017). Flood hazard mapping in integrated flood risk management: importance and problems associated to Pakistan. Retrieved from: https://ssrn.com/abstract=3057194. (Accessed 15 May 2020).

  • Moe, I.R., Rizaldi, A., Farid, M., Moerwanto, A.S., Kuntoro, A.A. (2018). The use of rapid assessment for flood hazard map development in upper Citarum river basin. MATEC Web of Conferences 229, https://doi.org/10.1051/matecconf/2018229.

  • Nelson, S.A. (2008). Flood Hazards, Prediction and Human Interventions. Tulane University.

    Google Scholar 

  • NOAA. (2009). Flood losses: compilation of flood loss statistics. NOAA climate research centre. www.weather.gov.oh/hic/flood_stats/Flood_loss_time_series.shtml. (Assessed 20 November 2019).

  • Pawaringira, R. (2008). Flood hazard modelling in Tsholotsho district, Zimbabwe. Thesis submitted to the University of Zimbabwe.

    Google Scholar 

  • Pourghasemi, H.R., Gokceoglu, C., Pradhan, B. (2012). Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at araz Watershed, Iran. Natural Hazards, 63(2): 965-996.

    Article  Google Scholar 

  • Quinn, N., Bates, P. D., Neal, J., Smith, A., Wing, O., Sampson, C., Smith, J., Heffernan, J. (2019). The spatial dependence of flood hazard and risk in the United States. Water Resources Research, 55, 1890–1911. https://doi.org/10.1029/2018WR024205.

    Article  Google Scholar 

  • Santillan, J.R., Marqueso, J.T., Makinano-Santillan, M., Serviano, J.L. (2016). Beyond flood hazard maps: detailed flood characterization with remote sensing, GIS and 2D modelling. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-4/W1. https://doi.org/10.5194/isprs-archives-XLII-4-W1-315-2016.

  • Sidek, L.M., Rostam, N.E., Hidayah, B., Roseli, Z.A., Majid, W.H.A.W.A., Zahari, N.Z., Salleh, S.H.M., Ahmad, R.D.R., Ahmad, M.N. (2016). Hydrology Analysis and Modelling for Klang River Basin Flood Hazard Map. IOP Conf. Series: Earth and Environmental Science 32, 012069 https://doi.org/10.1088/1755-1315/32/1/012069.

  • Twumasi, N.Y.D., Shao, Z., Orhan, A. (2019). Remote sensing and GIS methods in urban disaster monitoring and management – an overview. International Journal of Trend in Scientific Research and Development. 3(4), pp. 918-926.

    Google Scholar 

  • UNISDR and CRED (United Nations Office for Disaster Risk Reduction; Centre for Research on the Epidemiology of Disasters). (2018). Economic losses, poverty and disasters: 1998–2017. Retrieved from: http://www.preventionweb.net/files/61119_credeconomiclosses.pdf (Accessed 10 May 2020).

  • United Nations (2015). United Nations. Sendai Framework for Disaster Risk Reduction 2015–2030. UNISDR. Geneva.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Nhamo, G., Chikodzi, D. (2021). Tropical Cyclone Idai and Flood Hazard Modelling in the Eastern Parts of the Save Catchment, Zimbabwe. In: Cyclones in Southern Africa. Sustainable Development Goals Series. Springer, Cham. https://doi.org/10.1007/978-3-030-72393-4_14

Download citation

Publish with us

Policies and ethics