Assessing flood exposure in informal districts: a case study of Bujumbura, Burundi

References

• ActionAid. 2006. Unjust waters: climate change, flooding and the protection of poor urban communities-experiences from six African Countries. London: ActionAid International.
   Google Scholar
• ActionAid. 2016. Strengthening urban resilience in African cities: understanding and addressing urban risk. Johannesburg: ActionAid International.
   Google Scholar
• Adelekan IO. 2010. Vulnerability of poor urban coastal communities to flooding in Lagos, Nigeria. Environ Urbanization. International Institute for Environment and Development (IIED). 22(2):433–450. doi:10.1177/0956247810380141.
   Web of Science ®Google Scholar
• Bates P, Trigg M, Neal J, Dabrowa A. 2013. LISFLOOD-FP, User Manual v. 5.9.6. Bristol: University of Bristol.
   Google Scholar
• Blaikie P, Wisner B, Blaikie PM, Cannon T, Davis I. 1994. At risk: natural hazards, people’s vulnerability and disasters. New York: Routledge.
   Google Scholar
• Burundi Government. 2008. Lettre de la politique nationale d’habitat et d’urbanisation (LPNHU). Bujumbura: Ministry of Public Works and Equipment.
   Google Scholar
• Burundi Government, and World Bank. 2014. Burundi: analyse des facteurs de risques, évaluation des dommages et propositions pour un relèvement et une reconstruction durables. Evaluation rapide conjointe suite à la catastrophe des 9-10 février 2014 aux alentours de Bujumbura. Washington, DC: World Bank.
   Google Scholar
• Cleveland TG, Thompson DB, Fang X. 2011. Use of the rational and modified rational method for hydraulic design. Research report no. 0-6070-1. Texas Tech University.
   Google Scholar
• Conesa-Garcia C, Caselles-Miralles V, Sanchez Tomas JM., Garcia-Lorenzo R. 2010. Hydraulic geometry, GIS and remote sensing, techniques against rainfall-runoff models for estimating flood magnitude in ephemeral fluvial systems. Remote Sens. 2:2607–2628. doi:10.3390/rs2112607.
   Google Scholar
• De Risi R, De Paola F, Turpie J, Kroeger T. 2018. Life cycle cost and return on investment as complementary decision variables for urban flood risk management in developing countries. Int J Disaster Risk Reduct. 28:88–106. doi: 10.1016/j.ijdrr.2018.02.026
   Web of Science ®Google Scholar
• De Risi R, Jalayer F, De Paola F. 2015. Meso-scale hazard zoning of potentially flood prone areas. J Hydrol. 527:316–325. doi: 10.1016/j.jhydrol.2015.04.070
   Web of Science ®Google Scholar
• De Risi R, Jalayer F, De Paola F, Iervolino I, Giugni M, Topa ME, Mbuya E, Kyessi A, Manfredi G, Gasparini P. 2013. Flood risk assessment for informal settlements. Nat Hazards. 69(1):1003–1032. doi:10.1007/s11069-013-0749-0.
   Web of Science ®Google Scholar
• Dellepiane SG, Angiati E. 2012. A new method for cross-normalization and multitemporal visualization of SAR images for the detection of flooded areas. IEEE Trans Geosci Remote Sens. 50(7):2765–2779. https://doi.org/10.1109/TGRS.2011.2174999.
   Web of Science ®Google Scholar
• Dodman D, Leck H, Rusca M, Colenbrander S. 2017. African urbanisation and urbanism: implications for risk accumulation and reduction. Int J Disaster Risk Reduct. 26:7–15. doi: 10.1016/j.ijdrr.2017.06.029
   Web of Science ®Google Scholar
• Froehlich DC. 1989. Finite element surface-water modelling system: two-dimensional flow in a horizontal plane, users manual v. 2. Madison, WI: Federal Highway Administration.
   Google Scholar
• [GAR] Global Assessment Report on Disaster Risk Reduction. 2015. Making development sustainable: the future of disaster risk management. Geneva: United Nations Office for Disaster Reduction (UNISDR).
   Google Scholar
• Handmer J. 2003. We are all vulnerable. Aust J Emergency Manage. 18(3):55–60.
   Google Scholar
• Hicks FT, Peacock T. 2005. Suitability of HEC-RAS for flood forecasting. Can Water Resour J. 30(2):159–174. doi: 10.4296/cwrj3002159
   Google Scholar
• Jabeen H, Johnson C, Allen A. 2010. Built-in resilience: learning from grassroots coping strategies for climate variability. Environ Urbanization. International Institute for Environment and Development (IIED). 22(2):415–431. doi:10.1177/0956247810379937.
   Web of Science ®Google Scholar
• Jalayer F, Carozza S, De Risi R, Manfredi G, Mbuya E. 2016. Performance-based flood safety-checking for non-engineered masonry structures. Eng Struct. 106:109–123. doi: 10.1016/j.engstruct.2015.10.007
   Web of Science ®Google Scholar
• Jalayer F, De Risi R, De Paola F, Giugni M, Manfredi G, Gasparini P, Topa ME, Yonas N, Yeshitela K, Nebebe A, Cavan G. 2014. Probabilistic GIS-based method for delineation of flood-prone areas and identification of urban hotspots. Nat Hazards. 73(2):975–1001.
   Web of Science ®Google Scholar
• Jalayer F, De Risi R, Manfredi G, De Paola F, Topa ME, Giugni M, Bucchignani E, Mbuya E, Kyessi A, Gasparini P. 2013. From climate predictions to flood risk assessment for a portfolio of structures. 11th International Conference on structural safety & Reliability (ICOSSAR), Columbia University; New York (NY), June 16–20.
   Google Scholar
• Jha A, Bloch R, Lamond J. 2012. Cities and flooding: a guide to integrated urban flood risk management for the 21st century. Washington, DC: World Bank.
   Google Scholar
• Jha A, Lamond J, Bloch R, Bhattacharya N, Lopez A, Papachristodoulou N, Bird A, Proverbs D, Davies J, Barker R. 2011. Five feet high and rising: cities and flooding in the 21st century. World Bank Policy Research Working Paper, no. 5648.
   Google Scholar
• Jiang W, Deng L, Chen L, Wu J, Li J. 2009. Risk assessment and validation of flood disaster based on fuzzy mathematics. Prog Nat Sci. 19(2009):1419–1425. doi:10.1016/j.pnsc.2008.12.010.
   Google Scholar
• Kubwarugira G. 2016. Pour des établissements humains plus résilients … . In: J’ai à coeur ma planète. Yaoundé: International Organisation of La Francophonie-Regional Bureau for Central Africa, and Yaoundé University Press; p. 139–152.
   Google Scholar
• Malele B. 2009. The contribution of ineffective urban planning practices to disaster and disaster risks accumulation in urban areas: the case of former Kunduchi quarry site in Dar es Salaam, Tanzania. JÀMBÁ: J Disaster Risk Stud. 2(1):38–52.
   Google Scholar
• Merwade V, Olivera F, Arabi M, Edleman S. 2008. Uncertainty in flood inundation mapping: current issues and future directions. J Hydrol Eng. 13:608–620. doi: 10.1061/(ASCE)1084-0699(2008)13:7(608)
   Web of Science ®Google Scholar
• Musungu K, Motala S, Smit J. 2012. Using multi-criteria evaluation and GIS for flood risk analysis in informal settlements of Cape Town: the case of Graveyard Pond. South Afr J Geomatics. 1(1):77–91.
   Google Scholar
• Nchito WS. 2007. Flood risk in unplanned settlements in Lusaka. Environ Urbanization. International Institute for Environment and Development (IIED). 19(2):539–551. doi:10.1177/0956247807082835.
   Web of Science ®Google Scholar
• Oludare H, Odufuwa BO, Adebayo OH. 2012. Building capabilities for flood disaster and hazard preparedness and risk reduction in Nigeria: need for spatial planning and land management. J Sustainable Dev Afr. 14(1):45–58. Clarion University of Pennsylvania, Clarion, Pennsylvania.
   Google Scholar
• Pappenberger F, Beven K, Horritt M, Blazkova S. 2005. Uncertainty in the calibration of effective roughness parameters in HEC-RAS using inundation and downstream level observations. J Hydrol. 302:46–69. doi: 10.1016/j.jhydrol.2004.06.036
   Web of Science ®Google Scholar
• Pelling M. 2003. Social vulnerability in the city. In: The vulnerability of cities: natural disasters and social resilience. London: Earthscan; p. 26–67.
   Google Scholar
• Sindayihebura B. 2005. De l’Imbo au Mirwa. Dynamique de l’occupation du sol, croissance urbaine et risques naturels dans la région de Bujumbura (Burundi) [PhD thesis]. France: University of Toulouse II.
   Google Scholar
• Tate E, Maidment D. 1999. Floodplain mapping using HEC-RAS and ARCVIEW GIS. Austin (TX): Center For Research in Water Resources.
   Google Scholar
• Thorndahl S, Willems P. 2008. Probabilistic modelling of overflow, surcharge and flooding in urban drainage using the first-order reliability method and parameterization of local rain series. Water Res. 42(2008):455–466. doi:10.1016/j.watres.2007.07.038.
   PubMedGoogle Scholar
• UN-HABITAT. 2015. World urbanization prospects: the 2014 revision. New York (NY): United Nations.
   Google Scholar
• UN News Centre. n.d. Plus de la moitié de la population mondiale vit désormais dans des villes. Internet site. [(accessed 2016 June 14 ]. https://www.un.org/development/desa/fr/news/population/world-urbanization-prospects.html, 2014.
   Google Scholar
• [USACE] United States Army Corps of Engineers. 2003. HEC-RAS User Manual. By Davis, C.
   Google Scholar
• [USGS] United States Geological Survey. 2011. Estimation of Roughness Coefficients for Natural Stream Channels with vegetated Banks. By Coon, W. F. Water-supply paper 2441. Internet site. [accessed 2017 October 28]. https://pubs.usgs.gov/wsp/2441/report.pdf, 2011.
   Google Scholar
• [USACE] United States Army Corps of Engineers. n.d. Internet site. [accessed 2016 August 20]. http://www.hec.usace.army.mil/.
   Google Scholar
• [USGS] United States Geological Survey. n.d. Internet site. [accessed 2016 August 20]. http://gdex.cr.usgs.gov/gdex/.
   Google Scholar
• Wang Y, Colby JD, Mulcahy KA. 2002. An efficient method for mapping flood extent in a coastal floodplain using Landsat TM and DEM data. Int J Remote Sens. 23(18):3681–3696. doi: 10.1080/01431160110114484
   Web of Science ®Google Scholar
• World Health Organization. 2014. Catastrophe naturelle sur Bujumbura. Internet site. [accessed 2016 April 26]. http://www.afro.who.int/fr/burundi/press-materials/item/6281-catastrophe-naturelle-sur-bujumbura.html.
   Google Scholar