International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Volume XLII-3/W2
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W2, 1–7, 2017
https://doi.org/10.5194/isprs-archives-XLII-3-W2-1-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W2, 1–7, 2017
https://doi.org/10.5194/isprs-archives-XLII-3-W2-1-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

  15 Nov 2017

15 Nov 2017

INTEGRATION OF SATELLITE RAINFALL DATA AND CURVE NUMBER METHOD FOR RUNOFF ESTIMATION UNDER SEMI-ARID WADI SYSTEM

E. O. Adam1, M. A. M. Abd Elbasit2, T. Solomon1, and F. Ahmed3 E. O. Adam et al.
  • 1Department of Geography, Environmental Management & Energy Studies, Faculty of Science, University of Johannesburg, Auckland Park Kingsway Campus, Johannesburg, South Africa
  • 2Agricultural Research Council-Institute for Soil, Climate and Water, Pretoria, South Africa
  • 3School of Geography, Archaeology and Environmental Studies, University of Witswatersrand, Johannesburg, South Africa

Keywords: Hydrology, Ungauged, Water harvest, Spatial variation, Catchment, TRMM

Abstract. The arid and semi-arid catchments in dry lands in general require a special effective management as the scarcity of resources and information which is needed to leverage studies and investigations is the common characteristic. Hydrology is one of the most important elements in the management of resources. Deep understanding of hydrological responses is the key towards better planning and land management. Surface runoff quantification of such ungauged semi-arid catchments considered among the important challenges. A 7586 km2 catchment under investigation is located in semi-arid region in central Sudan where mean annual rainfall is around 250 mm and represent the ultimate source for water supply. The objective is to parameterize hydrological characteristics of the catchment and estimate surface runoff using suitable methods and hydrological models that suit the nature of such ungauged catchments with scarce geospatial information. In order to produce spatial runoff estimations, satellite rainfall was used. Remote sensing and GIS were incorporated in the investigations and the generation of landcover and soil information. Five days rainfall event (50.2 mm) was used for the SCS CN model which is considered the suitable for this catchment, as SCS curve number (CN) method is widely used for estimating infiltration characteristics depending on the landcover and soil property. Runoff depths of 3.6, 15.7 and 29.7 mm were estimated for the three different Antecedent Moisture Conditions (AMC-I, AMC-II and AMC-III). The estimated runoff depths of AMCII and AMCIII indicate the possibility of having small artificial surface reservoirs that could provide water for domestic and small household agricultural use.