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首页> 外文期刊>Energy >Applying DEA optimization approach for energy auditing in wheat cultivation under rice-wheat and cotton-wheat cropping systems in north-western India
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Applying DEA optimization approach for energy auditing in wheat cultivation under rice-wheat and cotton-wheat cropping systems in north-western India

机译:应用DEA优化方法进行印度西北稻麦和棉麦种植系统下小麦种植的能源审计

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Wheat (Triticum aestivum L.) is highly energy intensive winter crop grown in rice-wheat and cotton-wheat cropping systems in north-western India. In this study, energy input-output relationships for wheat cultivation were estimated from data collected from 80 wheat producers (40 each in rice-wheat and cotton-wheat cropping system) by face-to-face survey. Energy input through irrigation water was significantly (p 0.05) higher by 517 MJ ha(-1) (14.5%) in wheat under cotton-wheat (4093 +/- 133 MJ ha(-1)), compared with rice-wheat (3576 +/- 124 MJ ha(-1)); while energy input difference from other sources was non-significant among cropping systems. Data pooled for cropping systems revealed that chemical fertilizers comprised similar to 45%, while irrigation, electricity and diesel fuel consumption each shared similar to 15% towards total input energy (E-I). Wheat cultivation was energy efficient with EI of 25.6 +/- 0.5 GJ ha(-1) and total output energy (E-O) of 191.7 +/- 3.6 GJ ha(-1) produced net energy gain (NEG) of 166.1 +/- 3.5 GJ ha(-1). Data Envelopment Analysis (DEA) elucidated 28 decision making units (DMUs) as energy efficient with technical score (TE) of 1.00, while 52 DMUs (similar to 65% of total DMUs) with TE 1.00 were inefficient. Therefore, by the adoption of recommendations of the study, 3819 +/- 641 MJ ha(-1) (similar to 12% of E-I) energy saving is possible from different inputs in wheat cultivation. (C) 2019 Elsevier Ltd. All rights reserved.
机译:小麦(Triticum aestivum L.)是印度西北部水稻,小麦和棉花的种植系统中高度耗能的冬季作物。在这项研究中,通过面对面调查从80个小麦生产者(稻麦和棉麦种植系统中的40个生产者)收集的数据中估算了小麦种植的能源投入产出关系。与稻麦相比,在小麦-小麦(4093 +/- 133 MJ ha(-1))下,小麦通过灌溉水输入的能量输入显着(p <0.05)高517 MJ ha(-1)(14.5%)。 (3576 +/- 124 MJ ha(-1));在其他种植系统中,其他来源的能源输入差异不明显。收集到的耕作系统的数据显示,化肥占总投入能源(E-I)的比例接近45%,而灌溉,电力和柴油消耗分别占15%。小麦种植具有较高的能源效率,EI为25.6 +/- 0.5 GJ ha(-1),总输出能量(EO)为191.7 +/- 3.6 GJ ha(-1),产生的净能量增益(NEG)为166.1 +/- 3.5 GJ ha(-1)。数据包络分析(DEA)阐明了28个决策单位(DMU)的能源效率,技术得分(TE)为1.00,而52个DMU(约占总DMU的65%)的TE <1.00效率低。因此,通过采用该研究的建议,可以从小麦种植的不同投入中节省3819 +/- 641 MJ ha(-1)(相当于E-I的12%)。 (C)2019 Elsevier Ltd.保留所有权利。

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