Evaluating the bioenergy potential of cassava on marginal land using a biogeochemical process model in GuangXi, China
文献类型:SCI/SSCI论文
作者 | Jiang D.![]() ![]() ![]() ![]() |
发表日期 | 2015 |
关键词 | Bioenergy Potential Biogeochemical Process Model Cassava Marginal Land Republic-of-china Energy Resolution Ethanol Scale |
英文摘要 | Bioenergy is expected to play an important role in future energy systems. Cassava is believed to be one of the most promising energy plants for fuel ethanol production in the tropics and subtropics. In China, plant-based bioenergy has to be developed on marginal land to avoid impacting food security. Cassava yield varies dramatically under different environmental conditions. Therefore, an efficient approach is needed to estimate cassava yield on marginal land. This paper presents a method for assessing the energy potential of cassava using a biogeochemical process model. First, the spatial distribution of marginal land was identified. A geographic information system-based biogeochemical process model, the GIS-based environmental policy integrated climate model, was used to simulate the spatial and temporal dynamics of the major processes of the soil-cassava-atmosphere management system. The model was calibrated and successfully applied to data from GuangXi province, Southwest China. The results indicated that the potential bioenergy of cassava on marginal land under rain-fed conditions in GuangXi province is 1,909,593.96 million MJ, which is equivalent to the energy of 17.0844 million tons of standard coal; the potential energy of irrigated cassava is 2,054,017.73 million MJ, which is equivalent to the energy of 18.3765 million tons of standard coal. (C) 2015 Society of Photo-Optical Instrumentation Engineers (SPIE) |
出处 | Journal of Applied Remote Sensing |
卷 | 9 |
语种 | 英语 |
ISSN号 | 1931-3195 |
DOI标识 | 10.1117/1.jrs.9.097699 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/38447] ![]() |
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. Evaluating the bioenergy potential of cassava on marginal land using a biogeochemical process model in GuangXi, China. 2015. |
入库方式: OAI收割
来源:地理科学与资源研究所
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