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ORCIDEnvironmental Modelling and Software, Volume 29
Volume 29, Number 1, March 2012
- Rune Rasmussen, Grant Hamilton
:
An approximate Bayesian computation approach for estimating parameters of complex environmental processes in a cellular automata. 1-10 - Azucena Pérez-Vega, Jean-François Mas, Arika Ligmann-Zielinska:
Comparing two approaches to land use/cover change modeling and their implications for the assessment of biodiversity loss in a deciduous tropical forest. 11-23 - Shuo Wang, Guo H. Huang, Boting Yang:
An interval-valued fuzzy-stochastic programming approach and its application to municipal solid waste management. 24-36 - Mark Pogson, Astley Hastings, Pete Smith:
Sensitivity of crop model predictions to entire meteorological and soil input datasets highlights vulnerability to drought. 37-43 - Celestino Ordóñez, Angeles Saavedra, José Ramón Rodríguez-Pérez, Fernando Castedo-Dorado, Enrique Covián:
Using model-based geostatistics to predict lightning-caused wildfires. 44-50 - Gilles Valette, Stéphanie Prévost, Joël Léonard, Laurent Lucas:
A virtual discrete rainfall simulator. 51-60 - Adebayo J. Adeloye, Rabee Rustum, Ibrahim D. Kariyama:
Neural computing modeling of the reference crop evapotranspiration. 61-73
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