A fine-resolution estimation of the biomass resource potential across China from 2020 to 2100
文献类型:期刊论文
作者 | Nie, Yaoyu2,3,4; Li, Jin5; Wang, Can5; Huang, Guorui6; Fu, Jingying7; Chang, Shiyan8; Li, Haoran2; Ma, Shujie1; Yu, Le2; Cui, Xueqin2 |
刊名 | RESOURCES CONSERVATION AND RECYCLING
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出版日期 | 2022 |
卷号 | 176页码:11 |
关键词 | Biomass Bioenergy China Temporal-spatial variation Climate change |
ISSN号 | 0921-3449 |
DOI | 10.1016/j.resconrec.2021.105944 |
通讯作者 | Cai, Wenjia(wcai@tsinghua.edu.cn) |
英文摘要 | Large-scale development of bioenergy is indispensable in dealing with the climate change challenge. The biomass resource may become a limiting factor for the utilization of bioenergy in mitigating carbon emissions in the future. For supporting formulating a feasible long-term strategy for bioenergy development, it is crucial to conduct an ex-ante estimation of the biomass resource potential and accurately capture its variability at fine resolution. Although many previous studies have been carried out to estimate biomass resource potential, there is still a lack of a systematic assessment of the long-term spatio-temporal distribution of resource potential of multiple domestic biomasses in the context of future changes of human and natural factors. To address this research gap, this study proposed a comprehensive framework coupled with the crop growth models, RS-GIS methods, statistical downscaling, and multi-source dataset to evaluate the biomass resource potential and its variability across China at 1-km resolution from 2020 to 2100. This study identified the suitable areas for bioenergy development in the future, and analyzed the impact of climate change and land use change on biomass resource potential. This study also explored the role of bioenergy potential playing in China's energy supply under the temperature rise control target. Results indicate that the bioenergy potential of residues and energy crops in China will reach 5.11-11.01 EJ in China in 2100, only accounting for 5.3%-12.2% of the national primary energy supply demand in 2100. |
WOS关键词 | MARGINAL LAND ; BIOENERGY ; ENERGY ; CMIP5 ; CROP ; TARGETS ; MODELS |
资助项目 | National Key R&D Program of China[2017YFA0603602] ; National Natural Science Foundation of China[71773061] ; National Natural Science Foundation of China[71673165] ; Tsinghua University Initiative Scientific Research Program[20213080023] ; Tsinghua-Rio Tinto Joint Research Center for Resource Energy and Sustainable Development |
WOS研究方向 | Engineering ; Environmental Sciences & Ecology |
语种 | 英语 |
WOS记录号 | WOS:000708339400009 |
出版者 | ELSEVIER |
资助机构 | National Key R&D Program of China ; National Natural Science Foundation of China ; Tsinghua University Initiative Scientific Research Program ; Tsinghua-Rio Tinto Joint Research Center for Resource Energy and Sustainable Development |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/167153] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Cai, Wenjia |
作者单位 | 1.China Int Engn Consulting Corp, Resources & Environm Business Dept, Beijing 100048, Peoples R China 2.Tsinghua Univ, Dept Earth Syst Sci, Minist Educ, Key Lab Earth Syst Modeling, Beijing 100084, Peoples R China 3.Beijing Hualu Informat Technol Co Ltd, Beijing 100043, Peoples R China 4.Tsinghua Univ, PBC Sch Finance, Beijing 100084, Peoples R China 5.Tsinghua Univ, Sch Environm, State Key Joint Lab Environm Simulat & Pollut Con, Beijing 100084, Peoples R China 6.China Geol Survey, Beijing 100037, Peoples R China 7.Tsinghua Univ, Inst Energy Environm & Econ, Beijing 100084, Peoples R China 8.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, 11A Datun Rd, Beijing 100101, Peoples R China 9.Tsinghua Rio Tinto Joint Res Ctr Resource Energy, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Nie, Yaoyu,Li, Jin,Wang, Can,et al. A fine-resolution estimation of the biomass resource potential across China from 2020 to 2100[J]. RESOURCES CONSERVATION AND RECYCLING,2022,176:11. |
APA | Nie, Yaoyu.,Li, Jin.,Wang, Can.,Huang, Guorui.,Fu, Jingying.,...&Cai, Wenjia.(2022).A fine-resolution estimation of the biomass resource potential across China from 2020 to 2100.RESOURCES CONSERVATION AND RECYCLING,176,11. |
MLA | Nie, Yaoyu,et al."A fine-resolution estimation of the biomass resource potential across China from 2020 to 2100".RESOURCES CONSERVATION AND RECYCLING 176(2022):11. |
入库方式: OAI收割
来源:地理科学与资源研究所
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