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This paper formulates an input-output method for determining the distributional consequences of energy development projects. The method is oriented to the conditions appearing in many contemporary development settings where large resident populations and other factors are likely to inhibit boomtown scenarios. An analysis of geothermal energy development in Imperial County, California, is presented. The results indicate that personal income inequality is likely to increase by several percentage points as measured by the Gini coefficient. The sensitivity of the results is examined with respect to important factors such as labor supply elasticities, preferential employment of local residents, and the concentration...
The aim of this study is to develop a method that allows selecting appropriate measures for reductions in negative environmental impacts on a regional energy system. In this paper a sophisticated screening method based on theoretical and practical basics of decision-making is proposed. The proposed method is applied and tested on the energy system of a typical rural middle-sized region in Latvia. The starting point for energy system analysis was evaluation of DSM (demand side management) options but later authors chose to include also primary energy to evaluate the whole regional energy system. The proposed method foresees different aspects: not only technical and economical possibilities, but also political and...
The aim of this study is to develop a method that allows selecting appropriate measures for reductions in negative environmental impacts on a regional energy system. In this paper a sophisticated screening method based on theoretical and practical basics of decision-making is proposed. The proposed method is applied and tested on the energy system of a typical rural middle-sized region in Latvia. The starting point for energy system analysis was evaluation of DSM (demand side management) options but later authors chose to include also primary energy to evaluate the whole regional energy system. The proposed method foresees different aspects: not only technical and economical possibilities, but also political and...
This paper presents a probabilistic exposure model and its adaptation for use with spatially explicit information: soil contaminant concentrations and pH levels, predicted by geostatistical simulation; and population data mapped according to place of residence. Sequential indicator simulation (SIS) is used to provide 1000 plausible maps of soil contaminant concentrations, and results are fed into the exposure model to produce risk maps. Distributions of exposure values are closely related to uncertainty in the soil contaminant values. Using a different support for the estimations has a large effect on the results when comparing exposure values to regulatory cut-offs. Mapping the number of overexposed people allows...