Managing agricultural drought in Sweden using a novel spatially-explicit model from the perspective of water-food-energy nexus

Campana, Pietro Elia; Zhang, J.; Yao, Tian; Andersson, Stefan; Landelius, Tomas; Melton, F. S.; Yan, Jinyue

doi:10.1016/j.jclepro.2018.06.096

Cited by 58 publications

(23 citation statements)

References 22 publications

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“…These papers can be categorized from three different perspectives to understand the goals and trends. In terms of article type, about 43% were case-specific and mainly focused on different nexus applications in particular geographic locations (Wang et al, 2017;Chen et al, 2018;Uddameri & Reible, 2018;Campana et al, 2018;Hailemariam et al, 2019). Approximately 34% of nexus studies were based primarily on the analysis of conceptual frameworks, understanding of nexus and nexus developments, policy and governance, risks and opportunities, synergies and tradeoffs, nexus research opportunities, and so on (Romero-Lankao et al, 2018;Fader et al, 2018;Bergendahl et al, 2018).…”

Section: Featured Analysis Of the Few Nexus Literaturementioning

confidence: 99%

“…The rest of the articles applied nexus research from various angles. They include, but are not limited to, agricultural drought management (Campana et al, 2018), bio-fuels (Moioli et al, 2018), governance and policy (Rasul & Sharma, 2016;Artioli et al, 2017;Pahl-Wostl, 2019;M€ arker et al, 2018), waste and wastewater (Wang et al, 2018), climate vulnerability (Howarth & Monasterolo, 2017), projecting paths to FEW nexus sustainability through ontology (Babaie et al, 2019), linking food-water systems for enhancing child health in developing regions (Oerther et al, 2019), and nexus knowledge and understanding (Howarth & Monasterolo, 2016;Martinez et al, 2018) under different nexus systems. However, the comprehensive case-based practical application of an interconnected and interdependent FEW nexus with the adoption of existing and emerging technologies for a particular region is still limited (e.g., White et al, 2018).…”

Section: Featured Analysis Of the Few Nexus Literaturementioning

confidence: 99%

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Integrative technology hubs for urban food-energy-water nexuses and cost-benefit-risk tradeoffs (II): Design strategies for urban sustainability

Chang

Hossain

Valencia

et al. 2020

Critical Reviews in Environmental Science and Technology

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The Food-Energy-Water (FEW) nexus for urban sustainability needs to be analyzed via an integrative rather than a sectoral or silo approach, reflecting the ongoing transition from separate infrastructure systems to an integrated social-ecological-infrastructure system. As technology hubs can provide food, energy, water resources via decentralized and/ or centralized facilities, there is an acute need to optimize FEW infrastructures by considering cost-benefit-risk tradeoffs with respect to multiple sustainability indicators. This paper identifies, categorizes, and analyzes global trends with respect to contemporary FEW technology metrics that highlights the possible optimal integration of a broad spectrum of technology hubs for possible cost-benefit-risk tradeoffs. The challenges related to multiscale and multiagent modeling processes for the simulation of urban FEW systems were discussed with respect to the aspects of scaling-up, optimization process, and risk assessment. Our review reveals that this field is growing at a rapid pace and the previous selection of analytical methodologies, nexus criteria, and sustainability indicators largely depended on individual FEW nexus conditions disparately, and full-scale cost-benefit-risk tradeoffs CONTACT Ni-Bin Chang

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Section: Featured Analysis Of the Few Nexus Literaturementioning

confidence: 99%

Section: Featured Analysis Of the Few Nexus Literaturementioning

confidence: 99%

Integrative technology hubs for urban food-energy-water nexuses and cost-benefit-risk tradeoffs (II): Design strategies for urban sustainability

Chang

Hossain

Valencia

et al. 2020

Critical Reviews in Environmental Science and Technology

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“…• further develop the model presented in Zhang et al (2018) for Nebraska and in Campana et al (2018) for Sweden by implementing the Penman-Monteith equation for the calculation of reference evapotranspiration, and related validation using remote sensing data and tower flux data; • analyze the irrigation water productivity of existing irrigation guidelines in Sweden and compare the results with the guidelines provided by the developed model; • analyze water-food-energy nexus aspects related to irrigation systems in Sweden;…”

Section: Introductionmentioning

confidence: 99%

Towards an operational irrigation management system for Sweden with a water-food-energy nexus perspective

Campana¹,

Lastanao²,

Zainali³

et al. 2021

Preprint

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The 2018 drought in Sweden has triggered questions about climate adaptation and mitigation measures, especially in the agricultural sector, which suffered the most. This study applies a water-food-energy nexus modelling framework to evaluate drought impacts on irrigation and agriculture in Sweden using 2018 and 2019 as case studies. A previous water-food-energy nexus model was updated to facilitate an investigation of the benefits of data-driven irrigation scheduling as compared to existing irrigation guidelines. Moreover, the benefits of assimilating earth observation data in the crop model have been explored. The assimilation of leaf area index data from the Copernicus Global Land Service significantly improve the crop yield estimation as compared to default crop model parameters. The results show that the irrigation water productivities of the proposed model are measurably improved compared to conventional irrigation guidelines both in 2018 and in 2019. This is mostly due to the advantage of the proposed model in providing ETc-driven guidelines by using spatially-explicit data generated by mesoscale models from the Swedish Meteorological and Hydrological Institute. During a normal year, the proposed irrigation management system leads to significant water savings as compared to conventional irrigation guidelines. The modelling results show that temperature stress during the 2018 drought played a key role in the crop yield reduction, with yield reductions of up to 35%. In the context of the water-food-energy nexus, this motivates the implementation of new technologies to reduce water and temperature stress to mitigate likely negative effects of climate change. A visualization platform is developed using an open-source package for Google Earth® to help farmers and water and energy management agencies to better understand the connections between water and energy use and food production. This can be significant, especially during the occurrence of extreme events, but also to adapt to the negative effects of climate changes.

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“…Some works have been conducted recently using EEFlux products [17,[22][23][24][25]. Costa et al [17] for example, found results satisfactory for estimate the spatial variability quantification of maize water consumption in Brazil [17].…”

Section: Introductionmentioning

confidence: 99%

Mapping within‑field variability of soybean evapotranspiration and crop coefficient using the Earth Engine Evaporation Flux (EEFlux) application

et al. 2020

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Accurate information about the spatiotemporal variability of actual crop evapotranspiration (ETa), crop coefficient (K c) and water productivity (WP) is crucial for water efficient management in the agriculture. The Earth Engine Evapotranspiration Flux (EEFlux) application has become a popular approach for providing spatiotemporal information on ETa and Kc worldwide. The aim of this study was to quantify the variability of water consumption (ETa) and the K c for an irrigated commercial planting of soybeans based on the EEFlux application in the western region of the state of Bahia, Brazil. The water productivity (WP) for the fields was also obtained. Six cloud-free images from Landsat 7 and 8 satellites, acquired during the 2016/17 soybean growing season were used and processed on the EEFlux platform. The ETa from EEFlux was compared to that of the modified FAO (MFAO) approach using the following statistical metrics: Willmot's index of agreement (d-index), root mean square error (RMSE), mean absolute error (MAE) and mean bias error (MBE). The K c from EEFlux was compared to the K c used in the soybean field (K c FAO-based) and to the K c values obtained in different scientific studies using the d-index. A similar procedure was performed for WP. Our results reveal that EEFlux is able to provide accurate information about the variability of ETa and the K c of soybean fields. The comparison between ETa EEFlux and ETa MFAO showed good agreement based on the d-index, with values of 0.85, 0.83 and 0.89 for central pivots 1, 2 and 3, respectively. However, EEFlux tends to slightly underestimate ETa. The K c EEFlux showed good accordance with the K c values considered in this study, except in phase II, where a larger difference was observed; the average WP of the three fields (1.14 kg m-3) was higher than that in the majority of the previous studies, which is a strong indicator of the efficient use of water in the studied soybean fields. The study showed that EEFlux, an innovative and free tool for access spatiotemporal variability of ETa and Kc at global scale is very efficient to estimate the ETa and Kc on different growth stages of soybean crop.

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Managing agricultural drought in Sweden using a novel spatially-explicit model from the perspective of water-food-energy nexus

Cited by 58 publications

References 22 publications

Integrative technology hubs for urban food-energy-water nexuses and cost-benefit-risk tradeoffs (II): Design strategies for urban sustainability

Integrative technology hubs for urban food-energy-water nexuses and cost-benefit-risk tradeoffs (II): Design strategies for urban sustainability

Towards an operational irrigation management system for Sweden with a water-food-energy nexus perspective

Mapping within‑field variability of soybean evapotranspiration and crop coefficient using the Earth Engine Evaporation Flux (EEFlux) application

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