Abstract
A Monte Carlo analysis of two sequential GIS-embedded submodels, which evaluate the economic feasibility of short rotation coppice (SRC) production and energy conversion in areas contaminated by Chernobyl-derived137Cs, was performed to allow for variability of environmental conditions that was not contained in the spatial model inputs. The results from this analysis were compared to the results from the deterministic model presented in part I of this paper. It was concluded that, although the variability in the model results due to within-gridcell variability of the model inputs was considerable, the prediction of the areas where SRC and energy conversion is potentially profitable was robust. If the additional variability in the model input that is not contained in the input maps is also taken into account, the SRC production and energy conversion appears to be potentially profitable at more locations for both the small scale and large scale production scenarios than the model predicted using the deterministic model. © 2004 Elsevier Ltd. All rights reserved.
Original language | English |
---|---|
Pages (from-to) | 233-240 |
Number of pages | 8 |
Journal | Journal of Environmental Management |
Volume | 72 |
Issue number | 4 |
DOIs | |
Publication status | Published - 1 Sept 2004 |
Keywords
- Geographical information systems
- Monte Carlo analysis
- Radiocaesium
- Short rotation coppice
- cesium 137
- article
- Chernobyl accident
- controlled study
- coppice
- crop production
- crop rotation
- economic evaluation
- energy conversion
- feasibility study
- hazardous waste
- Monte Carlo method
- nonhuman
- prediction
- profit
- radioactive contamination
- Russian Federation