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

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 (O 1 ), minimizing CO 2 emissions (O 2 ), reducing chemical fertilizer consumption (O 3 ), minimizing chemical pesticide usage (O 4 ), and maximizing gross margin (O 5 ) 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 O 1 and O 5 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, CO 2 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. • Designing interrelationships between water quality and water, energy, food and environmental. • Evaluation of Water-Energy-Food-Environmental nexus under different water EC scenarios. • Increasing EC irrigation water would substantially diminish farmers' economic profit.

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Publication Details

Journal
Environmental and Sustainability Indicators
Published
2024-08-23
DOI
https://doi.org/10.1016/j.indic.2024.100461
Citations
4
Primary Topic
Water-Energy-Food Nexus Studies
Type
article
Field-Weighted Citation Impact
0.81

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article

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

Abbas Mirzaei, Mostafa Mardani Najafabadi, Amir Naserin
4 citations
Environmental and Sustainability Indicators
Water-Energy-Food Nexus Studies
0.81
article

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

Abbas Mirzaei, Mostafa Mardani Najafabadi, Amir Naserin
article en
4 citations

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 (O 1 ), minimizing CO 2 emissions (O 2 ), reducing chemical fertilizer consumption (O 3 ), minimizing chemical pesticide usage (O 4 ), and maximizing gross margin (O 5 ) 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 O 1 and O 5 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, CO 2 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. • Designing interrelationships between water quality and water, energy, food and environmental. • Evaluation of Water-Energy-Food-Environmental nexus under different water EC scenarios. • Increasing EC irrigation water would substantially diminish farmers' economic profit.

Environmental and Sustainability IndicatorsVol. 23
Ramin Agriculture and Natural Resources University of Khouzestan (IR), Agricultural & Applied Economics Association (US)
Agricultural Sciences and Natural Resources University of Khuzestan
Clean water and sanitation
Openalex Percentile: Top 29%
Water-Energy-Food Nexus Studies
0.81
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