Optimizing water-energy-food nexus index, CO2 emissions, and chemical pollutants under irrigation water salinity scenarios

IF 5.4 Q1 ENVIRONMENTAL SCIENCES
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Abstract

The escalation of crises related to water quantity of quality, energy, food, and the environment has posed numerous challenges to sustainable development in the agricultural sector. This study seeks to establish an optimal and sustainable framework within the agricultural sector by meeting the objectives of the WEF (Water-Energy-Food) nexus index and environmental. For this, we individually optimized the objectives: maximizing the WEFN index (O1), minimizing CO2 emissions (O2), reducing chemical fertilizer consumption (O3), minimizing chemical pesticide usage (O4), and maximizing gross margin (O5) under various electrical conductivity (EC) scenarios (optimistic, moderate, and pessimistic) within the irrigation network of the Jiroft plain in Iran. In the second stage, we employed a Multi-Objective Programming (MOP) Model to attain these objectives using a weighted sum approach simultaneously. The results of the first stage revealed that under moderate and pessimistic EC irrigation water scenarios, significant alterations in the crop selection within the optimized models for O1 and O5 objectives occurred compared to the baseline scenario, which did not consider EC irrigation water. Specifically, in the pessimistic scenario with an EC irrigation water level of 2.25 ds/m, crops such as onions, tomatoes, and potatoes were replaced within the optimal cropping pattern by wheat, barley, and green-maize, leading to a notable decline in program efficiency. The results from the MOP optimization model indicated that in the pessimistic EC irrigation water scenario, the WEFN index, CO2 emissions, fertilizer consumption, pesticide consumption, and gross margin would change by approximately +12%, −48%, −28%, −8%, and −74%, respectively, compared to the baseline scenario. Consequently, an increase in EC irrigation water, despite improving environmental conditions, would substantially diminish economic profit. Thus, overlooking the impact of EC irrigation water in the WEF nexus analysis could result in misleading conclusions.

优化灌溉水盐度情景下的水-能源-粮食关系指数、二氧化碳排放量和化学污染物
与水量、水质、能源、粮食和环境有关的危机不断升级,给农业部门的可持续发展带来了诸多挑战。本研究旨在通过实现 WEF(水-能源-粮食)关系指数和环境目标,在农业领域建立一个最佳的可持续框架。为此,我们在伊朗吉罗夫特平原灌溉网络的各种电导率(EC)情景(乐观、适度和悲观)下,分别对以下目标进行了优化:最大化 WEFN 指数(O1)、最小化二氧化碳排放(O2)、减少化肥消耗(O3)、最小化化学农药使用(O4)和最大化毛利率(O5)。在第二阶段,我们采用了多目标程序设计(MOP)模型,利用加权和方法同时实现这些目标。第一阶段的结果表明,在中等和悲观的欧共体灌溉水情景下,与不考虑欧共体灌溉水的基线情景相比,O1 和 O5 目标优化模型中的作物选择发生了显著变化。具体而言,在欧共体灌溉水位为 2.25 ds/m 的悲观情景下,最佳种植模式中的洋葱、西红柿和马铃薯等作物被小麦、大麦和青玉米取代,导致计划效率明显下降。澳门葡京娱乐网址优化模型的结果表明,与基线方案相比,在悲观的欧共体灌溉水方案中,WEFN 指数、二氧化碳排放量、化肥消耗量、农药消耗量和毛利率将分别变化约 +12%、-48%、-28%、-8% 和 -74%。因此,尽管环境条件有所改善,但增加华东地区灌溉用水仍会大幅减少经济利润。因此,在世界环境基金关系分析中忽略了欧共体灌溉用水的影响,可能会得出误导性结论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Environmental and Sustainability Indicators
Environmental and Sustainability Indicators Environmental Science-Environmental Science (miscellaneous)
CiteScore
7.80
自引率
2.30%
发文量
49
审稿时长
57 days
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