Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
The water-food-energy nexus optimization approach to combat agricultural drought: a case study in the United States
Show others and affiliations
2018 (English)In: Applied Energy, ISSN 0306-2619, E-ISSN 1872-9118, Vol. 227, p. 449-464Article in journal (Refereed) Published
Abstract [en]

The frequent recent drought events in the Great Plains of United States have led to significant crop yield reductions and crop price surges. Using an integrated water-food-energy nexus modelling and optimization approach, this study laid the basis for developing an effective agricultural drought management system by combining real-time drought monitoring with real-time irrigation management. The proposed water-food-energy simulation and optimization method is spatially explicit and was applied to one major corn region in Nebraska. The crop simulations, validated with yield statistics, showed that a drought year like 2012 can potentially reduce the corn yield by 50% as compared to a wet year like 2009. The simulation results show that irrigation can play a key role in halting crop losses due to drought and in sustaining high yields of up to 20t/ha. Nevertheless, the water-food-energy relationship shows that significant investments on water and energy are required to limit the negative effects of drought. The multi-criteria optimization problem developed in this study shows that the optimal crop yield does not necessarily correspond to the maximum yield, resulting in potential water and energy savings.

Place, publisher, year, edition, pages
2018. Vol. 227, p. 449-464
Keywords [en]
Water-food-energy nexus, Drought, Optimization, Energy for irrigation, Crop modelling, Spatial analysis
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-39781OAI: oai:DiVA.org:ri-39781DiVA, id: diva2:1343072
Available from: 2019-08-15 Created: 2019-08-15 Last updated: 2019-08-15Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

http://www.sciencedirect.com/science/article/pii/S030626191730908X

Authority records BETA

Lundblad, Anders Olof

Search in DiVA

By author/editor
Lundblad, Anders Olof
In the same journal
Applied Energy
Natural Sciences

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 1 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
v. 2.35.7