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PhD Thesis Emmanuel Obeng Bekoe - Cranfield University

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58<br />

water resource assessments in South Africa (Schultz et al., 1990); for irrigation<br />

supply (Dent, 1998) and for flood studies in Mozambique and Zimbabwe<br />

(Smithers et al., 2001). For forest hydrology (Jewitt & Schulze,1999; Herpertz,<br />

1994; Gillham & Haynes, 2001; Tarboton & Schulze, 1992; Smitters & Schulze,<br />

1997; Kienzle et al., 1997; DeClerk, 1999; Tarboton & Cluer, 1991; Smithers,<br />

1991; Smithers & Caldecott, 1993; and Jewitt, & Schulze,1993) all in southern<br />

Africa.<br />

Some of the advantages of ACRU for this study include<br />

• Ready application to catchments of varying scale and complexity<br />

• Its adoption of the use of the A-pan as the reference potential evaporation<br />

which is the mostly common used method in West Africa and Ghana.<br />

• Additional alternative methods to compute potential reference evaporation<br />

when data other than the Apan are available.<br />

• The process of delineating cell boundaries is based on a manual technique<br />

rather than relying on a DEM.<br />

A disadvantage of ACRU with respect to this study is that the model has been<br />

used mainly in Southern Africa within mostly semi arid environments.<br />

3.3.6 Comparison of the ANSWERS2000, SWAT and ACRU models<br />

From a review of the literature and a consideration of the processes used in<br />

each of the models (Table 3.3), the following comparisons are made:<br />

.<br />

<strong>Emmanuel</strong> <strong>Obeng</strong> <strong>Bekoe</strong> Phd <strong>Thesis</strong> Chapter 3 Catchment-Hydrol,& Model Selection

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