Assessment of Wind Erosion in Central Part of the Northern State, Sudan

Hussein Mohamed Ahmed Abuzied, Amna Ahmed Hamid, Mukhtar Ahmed Mustafa

Abstract


The study was carried out in the central part of the Northern
State (Dongola – Karima) area to assess wind erosion severity. The study
area lies within the hyper-arid zone and known to be seriously affected by
wind erosion due to the north-north easterly winds prevailing in Northern
Sudan, where sand and sand dune encroachment is threatening
agricultural land and adversely affecting food security. The state of wind
erosion, its geographic extent and dynamic nature, was assessed in this
study during the period 1961 to 2000. Data from remote sensing; aerial
photographs of 1961 and 2000, Landsat ETM 2000, and GPS reading
during field surveys 2005/2006 and 2006/2007 were the main sources of
information for this study. An integrated method of visual image
interpretation, field survey and GIS analysis was adopted in order to
produce wind erosion map. The results showed that two levels of wind
erosion severity are present in the study area. The severe level as defined
by slight to moderate rate of sand drift (3-5m³/ m-w/yr) is confined to the
left side of River Nile and the very severe level that has a high rate of
sand drift (16-17 m³/ m-w/yr) is found at the right side of the River. This
severity of wind erosion is attributed mainly to the terrain units that are
dominated by sand sheet and dune and their proximity to the desert. The
rate of sand dune movement was found to be in a range of 6m/yr for large
dune to 23m/yr for small one. The study area is seriously affected by wind

erosion where sand and sand dune encroachment is threatening human
livelihood. Remote sensing checked by field observation is a suitable
method for wind erosion assessment and is recommended for monitoring
and prediction of wind erosion. Remote sensing and GIS methods should
be adopted to facilitate planning for wind erosion control, management
and mitigation.


Keywords


Northern State; wind erosion; remote sensing

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