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Environmental evaluation and optimization of energy use and greenhouse gases mitigation for farm production systems in Mashhad, Iran

机译:Mashhad,伊朗Mashhad农场生产系统的环境评价与优化能源利用和温室气体缓解

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The current paper aimed at evaluating and optimizing the efficiency of energy use and mitigation of environmental pollution by minimizing the emissions and intensity of greenhouse gases (GHG) for farm production systems in Mashhad, Iran. The results indicated that the total values of consumed energy were equal to 28,648, 38,479, and 43,490 MJha(-1)for barley, canola, and forage corn, respectively. The highest rate of the consumed energy for all crops belonged to irrigation electricity, diesel fuel, and nitrogen consumption. The highest and lowest energy efficiencies were respectively achieved from forage corn and canola, while barley production led to the lowest GHG emissions. The estimation of GHG intensity demonstrated that canola with 53% took up the highest intensity, which was followed by barley (30%) and forage corn (17%). Since the intensity of GHG takes into account the amount of energy produced by each crop per hectare, this index is more suitable than GHG emissions for assessing environmental pollution. The results of optimal responses of the multiple goal programming (MGP) model revealed that the optimum evaluated cultivation areas (for meeting the goals of the study) for barley and forage corn were 10,088 and 3256 ha, respectively, while the MGP model generally eliminates canola from the cultivation plan. On the other hand, the plan proposed by the MGP model increases the total energy efficiency from 103,625 for the current systems to 105,169 for the optimized systems per year. Furthermore, the emissions and intensity of GHG were reduced by the model to 311,786 kgCO(2)eq and 10 kgCO(2)eq MJoutput(-1)per year, respectively.
机译:目前旨在通过最大限度地减少MASHHAD,伊朗MASHHAD的农场生产系统的温室气体(GHG)的排放和强度来评估和优化环境污染效率和减轻环境污染的效率。结果表明,大麦,油菜籽和饲料玉米的消耗能量总值等于28,648,38,479和43,490 mJHA(-1)。所有作物的消耗能量的最高速率属于灌溉电力,柴油燃料和氮消耗。从饲料玉米和油菜中达到最高和最低能量效率,而大麦生产导致了最低的温室气体排放。温室气体强度的估计表明,53%的油菜占据最高强度,然后是大麦(30%)和饲料玉米(17%)。由于GHG的强度考虑了每公顷各作物产生的能量,因此该指标比评估环境污染的温室气体排放更合适。多目标编程(MGP)模式的最佳响应结果表明,大麦和饲料玉米的最佳评估培养区域(用于满足研究的目标)分别为10,088和3256公顷,而MGP模型通常消除CANOLA来自培养计划。另一方面,MGP模型提出的计划将目前系统103,625的总能量效率提高至105,169,每年优化系统。此外,每年模型将减少到311,786 kgco(2)eq(2)eq和10kgco(2)kgco(2)kgco(2)eqmjoutput(-1)的模型减少了GHG的排放和强度。

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