| Autor: |
Polgár, András, Horváth, Adrienn, Mátyás, Katalin Szakálosné, Horváth, Attila László, Rumpf, János, Vágvölgyi, Andrea |
| Předmět: |
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| Zdroj: |
Acta Silvatica et Lignaria Hungarica; Dec2018, Vol. 14 Issue 2, p113-126, 14p |
| Abstrakt: |
Almost half of the total area of Hungary is arable land. Nearly one-third of this area is poor-quality arable land where agriculture would be uneconomical. Energy plantations can be grown extremely well on poor-quality land. Currently, the carbon neutrality of wood as a raw material must also be justified, considering several factors. Environmental life cycle assessment (LCA) was developed as a tool for sustainable, decision-supporting, environmental management, which is an outstanding tool for the well-established analysis of environmental impacts, although the application of it in forestry remained a challenge for the LCA community. No sector specific LCA and life cycle inventory methodology has been developed in forestry; thus, implementing such a methodology remains a big challenge. Calculated on a common functional unit (100 m3/ha wood chips, 100% energy purpose), we have performed a comparative environmental life cycle assessment for harvesting technologies of short rotation energy plantations (technology related to stands of 3 ha of poplar, 5–10 ha of willow, 20 ha of willow), specifically for the third year harvesting work system. Research results on global warming potential show the carbon footprint of harvesting work systems, the knowledge of which has a strong influence on the environmental consideration of raw material (wood chips) and also on the more precise definition of carbon sequestration capacity. The typical values of carbon balance ratio (1.37–1.46) indicate a positive carbon sequestration potential and a magnitude well within the system boundaries of the third year harvesting work system submodule. The results obtained enable the estimation and prediction of environmental impacts for the whole lifecycle of the plantation. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
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