Abstract
The identification of flood-prone urban areas is of special interest to the majority of Sub-Saharan cities hit repeatedly by this type of disaster. This chapter presents the sources of information and a snapshot of methods used to identify areas prone to flooding due to heavy rains and sea level rise, information that is of use to the municipality of Maputo, Mozambique. This particular case is significant, given the disastrous events that have occurred there in the past few years and which can be attributed to climate change (INGC 2009). The sources of information available were compared and validated. The Modified Normalized Difference Water Index (MNDWI) calculated on the first available LANDSAT 7 ETM satellite images after the extreme rains of 6–8 February 2000 has proven to be the best method for the Maputo case. The snapshot method used allowed us to identify 57 km2 of area exposed to flooding (16 % of the municipality). This result could be improved by georeferencing the flooded blocks systematically detected by district officers after each episode of heavy rain, and examining their correlation with the intensity of the physical events that led to their flooding.
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References
Ajmar A, Albanese A, Camaro W, Cristofori EI, Dalmasso S, Disabato F, Vigna R (2011) Extreme rainfall detection system for UN WFP in WSN12. In: 3rd WMO/WWRP international symposium on nowcasting and very short range forecasting, Rio de Janeiro, 2012
Degiorgis M, Gnecco G, Gorni S, Roth G, Sanguineti M, Taramasso AC (2012) Classifiers for the detection of flood-prone areas using remote sensed elevation data. Int J Appl Earth Obs Geoinf 470–471(2012):302–315
Ho LTK, Umitsu M, Yamaguchi Y (2010) Flood hazard mapping by satellite images and srtm dem in the Vu Gia–Thu Bon alluvial plain, Central Vietnam. In: International archives of the photogrammetry, remote sensing and spatial information science, vol XXXVIII, Part 8. Kyoto Japan
INGC (2009) Synthesis report. In: Van Logchem B, Brito R (eds) INGC Climate change report: study on the impact of climate change on disaster risk in Mozambique. INGC, Mozambique
Jha AK, Bloch R, Lamond J (2011) Cities and flooding. a guide to integrated flood risk management for the 21st century, The Word Bank, Washington
Manfreda S, Sole A, Di Leo M (2011) Detection of flood-prone areas using digital elevation models. ASCE J Hydrol Eng 16(10):781–790
National Disaster Management Authority Government of India (2009) High Resolution 1:10,000 scale Mapping Strategy of Multi-Disaster Prone areas in India Report
Tarekegn TH, Haile AT, Rientjes T, Reggiani P, Alkema D (2010) Assessment of an ASTER-generated DEM for 2D hydrodynamic flood modeling. Int J Appl Earth Obs Geoinf 12(2010):457–465
Taubenbock H, Wurm M, Netzband M, Zwenzner H, Roth A, Rahman A, Dech S (2011) Flood risks in urbanized areas—multi-sensoral approaches using remotely sensed data for risk assessment. Nat Hazards Earth Syst Sci 11: 431–444, Copernicus Publications
The World Bank Group AFTUW (2012) Municipal ICT capacity and its impact on the climate change affected urban poor. The Case of Mozambique
Wang W, Yang X, Yao T (2011) Evaluation of ASTER GDEM and SRTM and their suitability in hydraulic modeling of a glacial lake outburst flood in southeast Tibet, Hydrol Process 26(2):213–225, Whiley Online Library
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Braccio, S. (2014). Flood-Prone Areas Due to Heavy Rains and Sea Level Rise in the Municipality of Maputo. In: Macchi, S., Tiepolo, M. (eds) Climate Change Vulnerability in Southern African Cities. Springer Climate. Springer, Cham. https://doi.org/10.1007/978-3-319-00672-7_11
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DOI: https://doi.org/10.1007/978-3-319-00672-7_11
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