QUANTITATIVE MODELING OF THE WATER FOOTPRINT AND ENERGY CONTENT OF CROP AND ANIMAL PRODUCTS CONSUMPTION IN TANZANIA
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| Formato: | Artículo científico |
| Lenguaje: | en |
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Instituto Federal de Educação, Ciência e Tecnologia de São Paulo
2014
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| _version_ | 1876453283332096000 |
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| author | Felichesmi Selestini Lyakurwa |
| author_facet | Felichesmi Selestini Lyakurwa |
| contents | QUANTITATIVE MODELING OF THE WATER FOOTPRINT AND ENERGY CONTENT OF CROP AND ANIMAL PRODUCTS CONSUMPTION IN TANZANIA Felichesmi Selestini Lyakurwa Administración y Contabilidad crop human health energy content Water footprint animal products A comprehensive understanding of the link between water footprint and energy content of crop and animal products is vitally important for the sound management of water resources. In this study, I developed a mathematical relationship between water content, and energy content of many crops and animal products by using an improved LCA approach (i.e., water footprint concept). The standard values of the water and energy content of crops and animal products were obtained from the databases of Agricultural Research Service, UNESCO Institute for water education and Food, and Agriculture Organization of the United Nations. The water footprint approach was applied to analyze the relationship between water requirement and the energy of content of crop and animal products, in which the uncertainty and sensitivity was evaluated by Monte Carlo simulation technique that is contained in the Oracle Crystal Ball Fusion Edition v11.1.1.3.00. The results revealed significant water saving due to changes in food consumption pattern (i.e., from consumption of more meat than vegetables). The production of 1kcal of crop and animal products requires about 98% of green, 4.8% blue water and 0.4% of gray water. In which changes in consumption pattern gave annual blue water saving of about 1605 Mm3 that is equivalent to 41.30m3/capita, extremely greater than the standard drinking water requirement for the whole population. Moreover, the projected results indicated, triple increase of dietary water requirement from 30.9 Mm3 in 2005 to 108 Mm3 by 2050. It was also inferred that, Tanzania has a positive virtual water balance of crop and animal products consumption with net virtual water import of 9.1 Mm3 that is the contribution margin to the water scarcity alleviation strategy. Therefore, this relationship of water footprint and energy content of crops and animal products can be used by water resource experts for sustainable freshwater and food supply. 2014 artículo científico 2236-269X https://www.redalyc.org/articulo.oa?id=449544334015 en http://www.redalyc.org/revista.oa?id=4495 Independent Journal of Management & Production application/pdf Instituto Federal de Educação, Ciência e Tecnologia de São Paulo Independent Journal of Management & Production (Brasil) Num.2 Vol.5 |
| format | Artículo científico |
| id | redalyc_449544334015 |
| institution | Redalyc |
| language | en |
| publishDate | 2014 |
| publisher | Instituto Federal de Educação, Ciência e Tecnologia de São Paulo |
| spellingShingle | QUANTITATIVE MODELING OF THE WATER FOOTPRINT AND ENERGY CONTENT OF CROP AND ANIMAL PRODUCTS CONSUMPTION IN TANZANIA Felichesmi Selestini Lyakurwa Administración y Contabilidad crop human health energy content Water footprint animal products QUANTITATIVE MODELING OF THE WATER FOOTPRINT AND ENERGY CONTENT OF CROP AND ANIMAL PRODUCTS CONSUMPTION IN TANZANIA Felichesmi Selestini Lyakurwa Administración y Contabilidad crop human health energy content Water footprint animal products A comprehensive understanding of the link between water footprint and energy content of crop and animal products is vitally important for the sound management of water resources. In this study, I developed a mathematical relationship between water content, and energy content of many crops and animal products by using an improved LCA approach (i.e., water footprint concept). The standard values of the water and energy content of crops and animal products were obtained from the databases of Agricultural Research Service, UNESCO Institute for water education and Food, and Agriculture Organization of the United Nations. The water footprint approach was applied to analyze the relationship between water requirement and the energy of content of crop and animal products, in which the uncertainty and sensitivity was evaluated by Monte Carlo simulation technique that is contained in the Oracle Crystal Ball Fusion Edition v11.1.1.3.00. The results revealed significant water saving due to changes in food consumption pattern (i.e., from consumption of more meat than vegetables). The production of 1kcal of crop and animal products requires about 98% of green, 4.8% blue water and 0.4% of gray water. In which changes in consumption pattern gave annual blue water saving of about 1605 Mm3 that is equivalent to 41.30m3/capita, extremely greater than the standard drinking water requirement for the whole population. Moreover, the projected results indicated, triple increase of dietary water requirement from 30.9 Mm3 in 2005 to 108 Mm3 by 2050. It was also inferred that, Tanzania has a positive virtual water balance of crop and animal products consumption with net virtual water import of 9.1 Mm3 that is the contribution margin to the water scarcity alleviation strategy. Therefore, this relationship of water footprint and energy content of crops and animal products can be used by water resource experts for sustainable freshwater and food supply. 2014 artículo científico 2236-269X https://www.redalyc.org/articulo.oa?id=449544334015 en http://www.redalyc.org/revista.oa?id=4495 Independent Journal of Management & Production application/pdf Instituto Federal de Educação, Ciência e Tecnologia de São Paulo Independent Journal of Management & Production (Brasil) Num.2 Vol.5 |
| title | QUANTITATIVE MODELING OF THE WATER FOOTPRINT AND ENERGY CONTENT OF CROP AND ANIMAL PRODUCTS CONSUMPTION IN TANZANIA |
| topic | Administración y Contabilidad crop human health energy content Water footprint animal products |
| url | https://www.redalyc.org/articulo.oa?id=449544334015 |