**7.4 Final suitability map**

*Biotechnological Applications of Biomass*

the Southern parts of the state.

layer, used in the final suitability analysis.

**7.3 Land use suitability map**

Northern parts of the state. There are highest number of abattoir biomass within the central region of the state, and scarce generating centers towards the extreme of

Though the energy source from biomass in the study area could be utilized for biogas production and clean energy, this would be better to the current practices of burning wood in most homes and even in the abattoirs during meat processing operations. Biomass wastes generated during the slaughter of these animals includes blood, wastewater, ruminal content etc. The concentration of abattoirs in some of the areas in the study area is probably connected to the high population density of these areas. Since meat demand logically increases with increase in population. Areas with high concentration of biomass generation and clustering are best sites when considering proximity of waste sources as major criteria for bio-energy plant location. **Figure 4** was used to produce a vector map of biomass spatial density

The slope was derived from the digital elevation model of the study area. The slope of the study area was obtained through the slope function in spatial analyst tool in

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**Figure 4.**

*Biomass potential density of the study area.*

The final suitability index map was obtained by overlaying the land use suitability map with the biomass spatial density layer. The output is shown in **Figure 6** below. The suitable areas were divided into 4 classes- the Most Suitable, Highly Suitable, Moderate Suitable and Not Suitable. **Figure 6** shows that the suitable sites are

**Figure 5.** *Slope map of the study area.*

**Figure 6.** *Final suitability map. Source: [28].*

predominant in the East and central region of the study area. Extraction of these areas based on the selected criteria indicates the power of GIS in extracting useful geospatial information for geographical data analysis.
