SWEDIMS
SWEDISMS is an information product for farmers and decision makers from the water and energy sectors. It is based on an integrated simulation and optimization model, called GIS-OptiCE, developed for monitoring and managing agricultural drought using a water-food-energy-nexus perspective.
The model tries to answer the following question:
"How the water-food energy nexus interrelationships in the agricultural sector are affected during drought?"
The model has been developed from a researcher at Mälardalen University with the help of researchers from NASA, SMHI, University of Maryland-College Park, and Uppsala University. The developed model has potentials for crop yield forecasts and precision agricultural applications using high-resolution remote sensing data.
The model has been extensively described in the scientific studies conducted by Campana et al. for Sweden, and Zhang et al. for Nebraska, USA.
The model uses the spatially explicit climatic data generated by the mesoscale models STRÅNG and MESAN developed by the Swedish Meteorological and Hydrological Institute (SMHI). The current resolution of the models is 2.5 x 2.5 km.
The engine of the model for crop yield simulations is the EPIC model.
Optimization is carried out using artificial intelligence (AI) techniques.
PUBLICATIONS
P.E. Campana, J. Zhang, T. Yao, S. Andersson, T. Landelius, F. Melton, J. Yan, “Modelling the water-food-energy nexus during agricultural drought in Sweden”, AGU Fall Meeting, Washington, DC, 10-14 December 2018
P.E. Campana, J. Zhang, T. Yao, S. Andersson, T. Landelius, F. Melton, J. Yan, “Managing agricultural drought in Sweden using a novel spatially-explicit model from the perspective of water-food-energy nexus”, Journal of Cleaner Production 197 (2018) 1382e1393
J. Zhang, P.E. Campana, T. Yao, Y. Zhang, A. Lundblad. F. Melton, J. Yan, “The water-food-energy nexus optimization approach to combat agricultural drought: a case study in the United States”, Applied Energy 227 (2018) 449–464
P.E. Campana, J. Zhang, T. Yao, F. Melton, J. Yan, “Using A Water-Food-Energy Nexus Approach For Optimal Irrigation Management During Drought Events In Nebraska”, AGU Fall Meeting, New Orleans, LA, 11-15 December 2017