Floods are a threat to many cities especially in the developing countries and cities found near the coastal areas where the population pressure, unplanned settlements and poor infrastructures are most evident. Climate change also poses a higher flood risks in these areas due to increased frequency and intensity of extreme rainfall events. In this study analysis of extreme rainfall over Dar es Salaam city in Tanzania was done. The analysis employed empirical as well as hydrological frequency modeling to annual maximum daily rainfall events for 5 of the meteorological stations found within the city. A flood risk map to facilitate in flood forecasting and warning was also made using GIS techniques. The results suggest an increase in intensity of extreme rainfall events and the GEV families of hydrologic frequency analysis models were found to fit the data set better. The later results lead to better estimation of return periods. These findings are useful information to the city planners (e.g. hydrological designers), decision makers as well as the general public in the fight against flood risks in the city of Dar es Salaam.
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Format: Digital (ill., charts, maps)