Numerical prediction of rainfall over the city of Kisangani

Within the framework of the adaptation to the climatic changes, by advocating a study of remote sensing of the city, to identify and measure the zones permanently floodable and flooded by associating them with the climatic models of the pluviometric predictions it was possible to register on our maps processed by GIS under Arc Gis the curves of the levels SRTM, to understand the leveling of floods below the 400m altitude threshold in the city of Kisangani, to identify the months with high rainfall and to find out how many seasons there are in Kisangani and to measure the floodable and flooded areas by associating them with the climate models of rainfall predictions to predict the risks of flooding. In addition, adaptation to climate change involves, among other things, the construction of dykes and water retention basins, the cultivation of wood energy, the fight against poverty by converting ponds into fish and rice growing areas, the treatment of wastewater, the prevention of water-borne diseases, and the financing of studies on climate predictions and modeling in risk areas such as Kisangani.

Autorentext

Annie Eluo: nascida em Bondo, 10 de Julho de 1988, estudou na UNIKIS/FGRNR de 2009-2014, licenciada em agronomia e licenciada em água e silvicultura. A autora trabalhou em várias instituições e campos, incluindo serviços ambientais, inquéritos e agora no ensino universitário.