Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1007/s40333-022-0094-9 |
Projection of hydrothermal condition in Central Asia under four SSP-RCP scenarios | |
Yao, Linlin; Zhou, Hongfei; Yan, Yingjie; Li, Lanhai; Su, Yuan | |
通讯作者 | Zhou, HF |
来源期刊 | JOURNAL OF ARID LAND
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ISSN | 1674-6767 |
EISSN | 2194-7783 |
出版年 | 2022 |
卷号 | 14期号:5页码:521-536 |
英文摘要 | Hydrothermal condition is mismatched in arid and semi-arid regions, particularly in Central Asia (including Kazakhstan, Kyrgyzstan, Tajikistan, Uzbekistan, and Turkmenistan), resulting many environmental limitations. In this study, we projected hydrothermal condition in Central Asia based on bias-corrected multi-model ensembles (MMEs) from the Coupled Model Intercomparison Project Phase 6 (CMIP6) under four Shared Socioeconomic Pathway and Representative Concentration Pathway (SSP-RCP) scenarios (SSP126 (SSP1-RCP2.6), SSP245 (SSP2-RCP4.5), SSP460 (SSP4-RCP6.0), and SSP585 (SSP5-RCP8.5)) during 2015-2100. The bias correction and spatial disaggregation, water-thermal product index, and sensitivity analysis were used in this study. The results showed that the hydrothermal condition is mismatched in the central and southern deserts, whereas the region of Pamir Mountains and Tianshan Mountains as well as the northern plains of Kazakhstan showed a matched hydrothermal condition. Compared with the historical period, the matched degree of hydrothermal condition improves during 2046-2075, but degenerates during 2015-2044 and 2076-2100. The change of hydrothermal condition is sensitive to precipitation in the northern regions and the maximum temperatures in the southern regions. The result suggests that the optimal scenario in Central Asia is SSP126 scenario, while SSP585 scenario brings further hydrothermal contradictions. This study provides scientific information for the development and sustainable utilization of hydrothermal resources in arid and semi-arid regions under climate change. |
英文关键词 | hydrothermal condition water-thermal product index bias correction and spatial disaggregation SSP-RCP scenarios Central Asia |
类型 | Article |
语种 | 英语 |
开放获取类型 | Bronze |
收录类别 | SCI-E |
WOS记录号 | WOS:000800766100004 |
WOS关键词 | CLIMATE-CHANGE IMPACT ; TERRESTRIAL ECOSYSTEMS ; BIAS CORRECTION ; FUTURE CHANGES ; PRECIPITATION ; TEMPERATURE ; DROUGHT |
WOS类目 | Environmental Sciences |
WOS研究方向 | Environmental Sciences & Ecology |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/393317 |
推荐引用方式 GB/T 7714 | Yao, Linlin,Zhou, Hongfei,Yan, Yingjie,et al. Projection of hydrothermal condition in Central Asia under four SSP-RCP scenarios[J],2022,14(5):521-536. |
APA | Yao, Linlin,Zhou, Hongfei,Yan, Yingjie,Li, Lanhai,&Su, Yuan.(2022).Projection of hydrothermal condition in Central Asia under four SSP-RCP scenarios.JOURNAL OF ARID LAND,14(5),521-536. |
MLA | Yao, Linlin,et al."Projection of hydrothermal condition in Central Asia under four SSP-RCP scenarios".JOURNAL OF ARID LAND 14.5(2022):521-536. |
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