Assessment of the GHG Reduction Potential from Energy Crops Using a Combined LCA and Biogeochemical Process Models: A Review
文献类型：SCI/SSCI论文
| 作者 | Jiang D. ; Hao M. M.; Fu J. Y.; Wang Q.; Huang Y. H.; Fu X. Y.
|
| 发表日期 | 2014 |
| 关键词 | Long-term Experiments Soil Organic-carbon Greenhouse-gas Flux Biome-bgc Climate-change Boreal Forest Daycent Model Marginal Land Mineral Soils Fuel Ethanol |
| 英文摘要 | The main purpose for developing biofuel is to reduce GHG (greenhouse gas) emissions, but the comprehensive environmental impact of such fuels is not clear. Life cycle analysis (LCA), as a complete comprehensive analysis method, has been widely used in bioenergy assessment studies. Great efforts have been directed toward establishing an efficient method for comprehensively estimating the greenhouse gas (GHG) emission reduction potential from the large-scale cultivation of energy plants by combining LCA with ecosystem/biogeochemical process models. LCA presents a general framework for evaluating the energy consumption and GHG emission from energy crop planting, yield acquisition, production, product use, and postprocessing. Meanwhile, ecosystem/biogeochemical process models are adopted to simulate the fluxes and storage of energy, water, carbon, and nitrogen in the soil-plant (energy crops) soil continuum. Although clear progress has been made in recent years, some problems still exist in current studies and should be addressed. This paper reviews the state-of-the-art method for estimating GHG emission reduction through developing energy crops and introduces in detail a new approach for assessing GHG emission reduction by combining LCA with biogeochemical process models. The main achievements of this study along with the problems in current studies are described and discussed. |
| 出处 | Scientific World Journal |
| 语种 | 英语 |
| ISSN号 | 1537-744X |
| 源URL | [http://192.168.22.105/handle/311030/29804]  |
| 专题 | 资源利用与环境修复重点实验室_外文论文 |
| 推荐引用方式 GB/T 7714 | Jiang D.,Hao M. M.,Fu J. Y.,et al. Assessment of the GHG Reduction Potential from Energy Crops Using a Combined LCA and Biogeochemical Process Models: A Review. 2014. |
入库方式： OAI收割
来源：地理科学与资源研究所
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