Integration of Remote Sensing and GIS for Modelling Surface Run-off: Case Study of Marbeea-Alshareef, Sharq Elneel, Sudan

Abstract

This study investigates severity of floods influencing Marbeea-Alshareef, Sharq Elneel, Sudan.   The hydrological and topographical models of the area were integrated to point out the causes of the floods in the study area, along with adaptive and mitigation measures needed to avert these hazards.  The integration was based on the digital elevation model. Data processing and analysis were carried out using QGIS hydrological modules and Google Earth on-line GIS facilities. Findings proved the study area is directly affected by small catchment area (182 km2) and indirectly by a large one (1386 km2). The core drivers of flooding events could be attributed to man-made features (highway and irrigation canal) and the low topography of the study area. Floods in the area can only be mitigated by establishing an efficient drainage network in the man-made features. Integration of topographical and hydrological models is important for pointing out the core drivers of flooding events.