Optimization of Water-Energy-Food Nexus considering CO2 emissions from cropland: A case study in northwest Iran

环境科学 能源消耗 柴油 温室气体 肥料 青贮饲料 农学 环境工程
作者
Marzieh Hasanzadeh Saray,Aziza Baubekova,Alireza Gohari,Seyed Saeid Eslamian,Bjørn Kløve,Ali Torabi Haghighi
出处
期刊:Applied Energy [Elsevier]
卷期号:307: 118236-118236
标识
DOI:10.1016/j.apenergy.2021.118236
摘要

• The Water-Energy-Food Nexus and CO 2 emissions were studied using real farm data. • There is a direct relationship between input energy and global warming potential. • Diesel fuel and nitrogen fertilizer were the most energy-demanding inputs. • Potato had the highest energy consumption and highest CO 2 emissions. Water-Energy-Food (WEF) Nexus and CO 2 emissions for a farm in northwest Iran were analyzed to provide data support for decision-makers formulating national strategies in response to climate change. In the analysis, input–output energy in the production of seven crop species (alfalfa, barley, silage corn, potato, rapeseed, sugar beet, and wheat) was determined using six indicators, water, and energy consumption, mass productivity, and economic productivity. WEF Nexus index (WEFNI), calculated based on these indicators, showed the highest (best) value for silage corn and the lowest for potato. Nitrogen fertilizer and diesel fuel with an average of 36.8% and 30.6% of total input energy were the greatest contributors to energy demand. Because of the direct relationship between energy consumption and CO 2 emissions, potato cropping, with the highest energy consumption, had the highest CO 2 emissions with a value of 5166 kg CO 2 eq ha −1 . A comparison of energy inputs and CO 2 emissions revealed a direct relationship between input energy and global warming potential. A 1 MJ increase in input energy increased CO 2 emissions by 0.047, 0.049, 0.047, 0.054, 0.046, 0.046, and 0.047 kg ha −1 for alfalfa, barley, silage corn, potato, rapeseed, sugar beet, and wheat, respectively. Optimization assessments to identify the optimal cultivation pattern, with emphasis on maximized WEFNI and minimized CO 2 emissions, showed that barley, rapeseed, silage corn, and wheat performed best under the conditions studied.
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