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PhD Thesis Emmanuel Obeng Bekoe - Cranfield University

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57<br />

area index (LAI) and Von Hoyningen-Huene (1983) equations have been<br />

employed in ACRU to compute crop growth and interception losses (Schulze,<br />

1995, Chapter 6).<br />

Soil input decision support offers two levels of accuracy, depending on the data<br />

available to the user; at the lower level, when soil information is very limited,<br />

only soil texture and depth need be provided, with relevant hydrological soil<br />

properties being estimated from default decision support tables developed for<br />

soils from Southern Africa and from vertical percentages of clay content in the<br />

soil profiles, while at the higher level, porosity, field capacity, wilting point and<br />

drainage response rates, as well as textures and depth, are required.<br />

ACRU makes use of a "cell"-type discretisation to subdivide the catchment,<br />

where each cell may be regarded as a sub catchment of the main catchment.<br />

Cell boundaries are defined by the user, using large scale orthophotos or<br />

topographical maps. If the effect of land use changes on outflow from a<br />

catchment is to be investigated, then the cell boundaries should be so defined<br />

as to obtain a high degree of homogeneity of land use or vegetation type.<br />

However, this may then often be achieved at the expense of, say, homogeneity<br />

of soil type. Likewise, if the cell, or sub catchment, outlet is selected at a point<br />

where hydrological information is required, e.g. at the inflow or outflow of a<br />

reservoir, then this information is likely to be obtained at the expense of (say)<br />

vegetation homogeneity, because in such a case the sub catchment boundary<br />

would be defined uniquely by the selection of the location of the sub<br />

catchment's outlet, irrespective of its soil and vegetation characteristics.<br />

The ACRU agro-hydrological modelling system has been used extensively in<br />

South Africa (Everson, 2001). Examples of its use include land use change in<br />

Luvuhu catchment in South Africa (Jewitt et al., 2004) for the application of<br />

Geographic Information Systems (GIS) in the analysis of nutrient loadings from<br />

an agro-rural catchment in Southern Africa (Mtetwa et al., 2003); for climate<br />

change studies in South Africa (New, 2002); water balance (Everson, 2001); for<br />

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

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