Climate change-induced economic impact assessment by parameterizing spatially heterogeneous CO2 distribution
文献类型：期刊论文
| 作者 | Jiang, Sijian1,2,3; Deng, Xiangzheng1,2,3 ; Liu, Gang1,2,3; Zhang, Fan1,2,3
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| 刊名 | TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
 |
| 出版日期 | 2021-06-01 |
| 卷号 | 167页码:11 |
| 关键词 | Climate change Integrated assessment model Carbon dioxide concentration Spatial heterogeneity |
| ISSN号 | 0040-1625 |
| DOI | 10.1016/j.techfore.2021.120668 |
| 通讯作者 | Deng, Xiangzheng(dengxz@lreis.ac.cn) |
| 英文摘要 | The spatially heterogeneous distribution of CO2 concentrations is an uncertain factor in the assessment of climate change impact. We developed and calibrated a simple climate module to project regional temperature increases using atmospheric simulation output data from the Coupled Model Inter-comparison Project Phase 6 (CMIP6). We compared the differences in regional atmospheric temperature changes arising from spatially homogeneous and heterogeneous distributions of CO2 and assessed economic loss. The results indicated that spatially heterogeneous distribution of CO2 affected the projection of regional temperature increases, with faster temperature rises in industrially advanced regions. Compared with a homogeneous distribution, economic damage was aggravated in the Northern Hemisphere using a heterogeneous distribution, especially in middle-latitude regions. China saw increases in economic damage of 0.030%, 0.007%, and 0.002% in 2100 under SSP5-RCP8.5, SSP2-RCP4.5, and SSP1-RCP2.6, respectively. This suggests that impact assessments that ignore spatially heterogeneous CO2 concentrations could lead to inaccurate estimates of climate damage. These findings indicate that it is necessary to parameterize the spatial distribution of CO2 in traditional climate change assessments. The results provide a more accurate estimation of regional temperature increases and climate change-induced economic damage to support policymaking for mitigation and adaptation. |
| 资助项目 | National Key Research and Development Program of China[2016YFA0602500] |
| WOS研究方向 | Business & Economics ; Public Administration |
| 语种 | 英语 |
| WOS记录号 | WOS:000637776500008 |
| 出版者 | ELSEVIER SCIENCE INC |
| 资助机构 | National Key Research and Development Program of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/161758]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Deng, Xiangzheng |
| 作者单位 | 1.Chinese Acad Sci, Ctr Chinese Agr Policy, Beijing 100101, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100149, Peoples R China |
| 推荐引用方式 GB/T 7714 | Jiang, Sijian,Deng, Xiangzheng,Liu, Gang,et al. Climate change-induced economic impact assessment by parameterizing spatially heterogeneous CO2 distribution[J]. TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE,2021,167:11. |
| APA | Jiang, Sijian,Deng, Xiangzheng,Liu, Gang,&Zhang, Fan.(2021).Climate change-induced economic impact assessment by parameterizing spatially heterogeneous CO2 distribution.TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE,167,11. |
| MLA | Jiang, Sijian,et al."Climate change-induced economic impact assessment by parameterizing spatially heterogeneous CO2 distribution".TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE 167(2021):11. |
入库方式： OAI收割
来源：地理科学与资源研究所
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