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This research was conducted to optimize sites for biofuel production facilities in Nigeria using Sweet sorghum, Sugarcane and Jatropha as feedstocks. Datasets such as meteorological records, satellite imagery, maps and Shapefiles were gathered from various sources and a nominal scale of 1: 250,000 was used because cell size used for all the raster datasets was 100 metres. Multi-criteria evaluation (MCE), spaecifically pairwise comparison, was the methodology employed and implemented in GIS environment. A total of seven models were developed. The first model excluded constraints, based the…mehr

Produktbeschreibung
This research was conducted to optimize sites for biofuel production facilities in Nigeria using Sweet sorghum, Sugarcane and Jatropha as feedstocks. Datasets such as meteorological records, satellite imagery, maps and Shapefiles were gathered from various sources and a nominal scale of 1: 250,000 was used because cell size used for all the raster datasets was 100 metres. Multi-criteria evaluation (MCE), spaecifically pairwise comparison, was the methodology employed and implemented in GIS environment. A total of seven models were developed. The first model excluded constraints, based the Roundtable Sustainable Biofuel's (RSB) principles. The second, the third and the fourth models identified suitable areas for the cultivation of the crops through a weighted overlay function. Fifth, sixth and seventh models optimized suitable locations for the crops based biofuel production facilities by employing service area modelling through network analysis.
Autorenporträt
Mr. Basiru Shehu is a GIS Analyst and holds MSc degree in Geographical Information System with Remote Sensing (2015) obtained from the University of Greenwich, London. He works with Agriculltural Research Council of Nigeria since 2010. His research interests focus on spatial analysis for biofuel production using GIS and remote sensing technologies.