Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/j.scitotenv.2024.174046 |
Divergent determinants on interannual variability of terrestrial water cycle across the globe | |
Zhu, Jinyu; Yin, Dongqin; Li, Xiang; Zhu, Ruirui; Zheng, Hongxing | |
通讯作者 | Yin, DQ |
来源期刊 | SCIENCE OF THE TOTAL ENVIRONMENT
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ISSN | 0048-9697 |
EISSN | 1879-1026 |
出版年 | 2024 |
卷号 | 945 |
英文摘要 | Intensifying variability in precipitation under a changing climate is projected to amplify fluctuation in terrestrial hydrological cycle, leading to more severe water-related disasters. The connections between interannual variability of hydrological components and factors influencing these connections have not been clearly defined yet. Based on terrestrial water budget from Climate Data Record, we identify dominant factors influencing partitioning interannual variability of precipitation (P) into that of evapotranspiration (E), runoff (Q), and water storage deviation (Delta S) across the globe by employing geographical detector model (GDM). Sensitivities of the variability partitioning to dominant factors are quantified for different hydroclimate regions by linear regression model and law of total differential. Results show that dominant factors influencing precipitation variability partitioning (VP) are different across distinct hydroclimate conditions. Comparing the statistical index (q value) of the GDM, it can be seen that surface air temperature (T-a), snow water equivalent (SWE) and water storage capacity (S-max) are dominant factors of VP in humid, semi-arid and arid regions, respectively. Changes in P variability largely can transfer into Q variability in humid region. The P variability partitioned into Q variability is dramatically reduced in semi-arid region with SWE decreasing, while P variability partitioned into Delta S variability increases with S-max increasing in arid region. Joint effects of T-a and coefficient of variation of precipitation (P-cv) are found to be the most important interaction in determining VP across the globe. Furthermore, warmer temperatures in humid region cause >90 % of the change in precipitation variability to be transferred to Q variability change. In semi-arid region with snowfall, decreased SWE has strong effect on changes in Delta S (30-40 %) and Q (20-40 %) variability. Our findings imply a changing VP and more severe impacts of hydrological extremes under future climate, where intensive changes in T-a, SWE and land cover are projected. |
英文关键词 | Terrestrial water cycle Interannual variability Variability partitioning Geographical detector model |
类型 | Article |
语种 | 英语 |
开放获取类型 | hybrid |
收录类别 | SCI-E |
WOS记录号 | WOS:001260586000001 |
WOS关键词 | VEGETATION CHANGES ; CLIMATE ; EVAPOTRANSPIRATION ; SNOW ; STORAGE ; FRAMEWORK ; IMPACTS ; TRENDS ; LAND ; IDENTIFICATION |
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/2XILL650/405511 |
推荐引用方式 GB/T 7714 | Zhu, Jinyu,Yin, Dongqin,Li, Xiang,et al. Divergent determinants on interannual variability of terrestrial water cycle across the globe[J],2024,945. |
APA | Zhu, Jinyu,Yin, Dongqin,Li, Xiang,Zhu, Ruirui,&Zheng, Hongxing.(2024).Divergent determinants on interannual variability of terrestrial water cycle across the globe.SCIENCE OF THE TOTAL ENVIRONMENT,945. |
MLA | Zhu, Jinyu,et al."Divergent determinants on interannual variability of terrestrial water cycle across the globe".SCIENCE OF THE TOTAL ENVIRONMENT 945(2024). |
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