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Brazilian Biofuels Programmes from the WEL Nexus Perspective

Brazilian Biofuels Programmes from the WEL Nexus Perspective

Brazilian Biofuels Programmes from the WEL Nexus Perspective

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Brazil’s biofuel programmes viewed <strong>from</strong> <strong>the</strong> <strong>WEL</strong>-nexus perspectiveirrigation technology installed in 2010 (IBGE, 2009). Agricultural areas in <strong>the</strong> states of SP andMT are served by <strong>the</strong> Paraná hydrographic basin, and in <strong>the</strong> case of MT, mainly by <strong>the</strong> Amazonbasin. The Paraná River basin concentrates <strong>the</strong> largest irrigated area per hydrographic region,with 1.48 million ha (ANA, 2011).The adoption of irrigation systems in <strong>the</strong>se two states has been increasing, especially in <strong>the</strong>1996–2010 period. In SP, <strong>the</strong>re was a 7.5% annual rate of increase in <strong>the</strong> area covered byirrigation, and 15.1% in MT. In SP, about 1 million ha, or 15% of <strong>the</strong> agricultural area, isirrigated. In <strong>the</strong> case of MT, this area amounts to 238,000 ha, which corresponds to 12% of<strong>the</strong> cultivated area (IBGE, 1999, 2009, 2011).The purpose of installing irrigation equipment is to ensure a regular supply of water in order toavoid a drop in productivity due to unequal water distribution. It is not just a matter ofsupplying water during dry periods, but also supplying it in adequate amounts to avoid waterstress (Carmo et al., 2007). Telles (1999) addresses <strong>the</strong> importance of proper irrigationmanagement, as <strong>the</strong> water used in <strong>the</strong> agricultural sector does not return to its sources, orreturns to such sources affected by pesticide contamination.In this context, <strong>the</strong> demand for water per hectare of sugar cane and soybean produced in <strong>the</strong>states of SP and MT respectively in 2010 was modelled using CROPWAT 8.0 software. Thissoftware, developed by <strong>the</strong> United Nations Food and Agriculture Organization (FAO), is used toquantify <strong>the</strong> demand for water and for irrigation per agricultural crop, based on soil andclimate conditions, and <strong>the</strong> crop productivity record in <strong>the</strong> region under study (FAO, 2011a,2011b). Thus, in view of <strong>the</strong> conditions mentioned for SP and MT, which were obtained <strong>from</strong>CONAB (2011), EMBRAPA (2008) and FAO (2011b) for 2010, an average demand of 16,991 m 3and 6,440 m 3 of water per hectare cultivated was calculated respectively for <strong>the</strong> two crops. Ifwe take <strong>the</strong> benchmark productivities of 86.4 tons per hectare for sugar cane in SP, and 3.0tons per hectare for soybeans in MT (CONAB, 2011), it is possible to derive <strong>the</strong> averagedemand of 197 m 3 of water per ton of sugar cane in SP and 2,147 m 3 per ton of soybean in MTin 2010 (Table 4.4).In order to estimate <strong>the</strong> demand for water per crop in 2019, an average growth in productivityof 1.5% per year <strong>from</strong> 2011 onwards was initially considered for both sugar cane and soy.According to EMBRAPA (2008), approximately 70% of <strong>the</strong> increase in average productivity in<strong>the</strong> soy crop in MT in <strong>the</strong> 2006–2010 period resulted <strong>from</strong> <strong>the</strong> increased availability of water in<strong>the</strong> plantations, i.e. <strong>the</strong> increase in <strong>the</strong> total irrigated area. It is also estimated that, in <strong>the</strong>case of <strong>the</strong> SP sugar cane crop, 62% of <strong>the</strong> rise in productivity in <strong>the</strong> same period resulted<strong>from</strong> <strong>the</strong> increase in <strong>the</strong> total irrigated area. 13 Thus we can estimate <strong>the</strong> evolution in <strong>the</strong>average demand for water for <strong>the</strong> sugar cane and soybean crops in m 3 per hectare and in m 3per ton in <strong>the</strong> 2010–2019 period (Table 4.4). In addition, an increase in <strong>the</strong> output of <strong>the</strong>secrops at <strong>the</strong> same rate as <strong>the</strong> projected growth in biofuel production was considered, on <strong>the</strong>assumption that <strong>the</strong>re will be no shift of any additional sugar production to ethanol or ofadditional soya meal and soybeans to bio-diesel. Therefore, in <strong>the</strong> 2010–2019 period, <strong>the</strong>rewould be a 64% increase in sugar cane production, and 75% in soy production.In view of <strong>the</strong>se assumptions, taking into account <strong>the</strong> projected increase in ethanol and biodieselproduction for <strong>the</strong> sugar cane and soy crops in SP and MT, we project a total waterdemand of 108,638 m 3 and 67,509 million m 3 respectively in 2019 (Table 4.4).13 Assuming <strong>the</strong> annual growth rates in <strong>the</strong> irrigated area in SP and MT will be maintained at 7.5% and 15.1%respectively, <strong>the</strong> total irrigated area in 2019 is estimated at 1.6 million ha in SP, and at 561,000 ha in MT.31

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