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An estimation of the spatial and temporal distribution of biogenic non-methane hydrocarbon emissions in Greece
Institution:1. Digestive Endoscopy Unit, S. Barbara Hospital, Iglesias, Italy;2. Digestive Endoscopy Unit, N. S. di Bonaria Hospital, San Gavino Monreale, Italy;3. Department of Surgical Sciences, University of Cagliari, Cagliari, Italy;4. Sepulveda Ambulatory Care Center, Veterans Affairs Greater Los Angeles Healthcare System, North Hills, California, USA;5. David Geffen School of Medicine at University of California at Los Angeles, Los Angeles, California, USA;1. Genetic and Molecular Toxicology, Integrated Laboratory Systems, Inc., Research Triangle Park, NC, USA;2. Investigative Toxicology, Integrated Laboratory Systems, Inc., Research Triangle Park, NC, USA;3. Comparative and Molecular Pathology, Integrated Laboratory Systems, Inc., Research Triangle Park, NC, USA;4. Genotoxicology Laboratory, Biosafety Research Center, Shizuoka, Japan;5. Pathology Laboratory, Biosafety Research Center, Shizuoka, Japan;6. Division of the National Toxicology Program, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA;1. Department of Physical Electronics, School of Electrical Engineering, Tel Aviv University, 69978 Tel Aviv, Israel
Abstract:The present study presents the first detailed inventory for non-methane hydrocarbon emissions from vegetation over Greece. The emission inventory, based on a Geographic Information System (GIS), has a spatial resolution of 5×5 km2 and a time resolution of 1 h. For the area under study, the calculated yearly monoterpene emissions are higher than the corresponding isoprene ones. In addition to the methodology presented here, the CORINAIR methodology was also applied for the calculation of emission rates. This resulted in orders of magnitude differences in the calculated emission rates. The CORINAIR methodology is judged to lead to unrealistically high values of biogenic NMHC emission rates. The temperature dependence of the CORINAIR correction factors seems to affect most the emissions, together with grazing land emission factors.
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