Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/j.jhydrol.2023.129474 |
Changes in streamflow statistical structure across the United States due to recent climate change | |
Gupta, Abhinav; Carroll, Rosemary W. H.; Mckenna, Sean A. | |
通讯作者 | Gupta, A |
来源期刊 | JOURNAL OF HYDROLOGY
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ISSN | 0022-1694 |
EISSN | 1879-2707 |
出版年 | 2023 |
卷号 | 620 |
英文摘要 | Changes in statistical structure (spectral properties) of streamflow across the USA due to climate change were studied for water years 1980-2013. The Fractionally differenced Autoregressive Integrated Moving Average (FARIMA) model was fit to the deseasonalized streamflow time series to model its statistical structure. FARIMA allows the separation of streamflow into low- (slowly varying) and high-frequency (fast varying) components. In this study, the changes in the contribution of various components to the total streamflow variance were analyzed. Further, the variables affecting these changes were identified using random forest and linear regression. Results show that in the snow-dominated watersheds, the contribution of low-frequency components to total streamflow variance decreased over the study period, and the contribution of high-frequency components increased. The changes in the snow-dominated watersheds were primarily driven by changes in precipitation statistics and changes in snowpack but also by changes in seasonal temperature statistics. Among the rain-driven watersheds, the contribution of high-frequency components generally increased in arid regions but decreased in humid regions. In both humid and arid rain-driven watersheds, increasing winter temperature appears to be responsible for the change in streamflow statistical structure. These results have consequences for the predictability of streamflow in the presence of climate change. Further, the analysis carried out in this study allowed us to understand the plausible changes in watershed hydrologic processes that affect streamflow without using processbased or conceptual models. |
英文关键词 | Streamflow Climate change FARIMA Spectral analysis Snow-dominated watersheds Rain-driven watersheds |
类型 | Article |
语种 | 英语 |
开放获取类型 | Green Submitted, hybrid |
收录类别 | SCI-E |
WOS记录号 | WOS:001054038200001 |
WOS关键词 | WATER-CONTROLLED ECOSYSTEMS ; HYDROLOGIC PROCESSES ; ACTIVE-ROLE ; MOUNTAIN SNOWPACK ; RAINFALL ; TRENDS ; VEGETATION ; STRESS ; PLANTS ; SOIL |
WOS类目 | Engineering, Civil ; Geosciences, Multidisciplinary ; Water Resources |
WOS研究方向 | Engineering ; Geology ; Water Resources |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/397395 |
推荐引用方式 GB/T 7714 | Gupta, Abhinav,Carroll, Rosemary W. H.,Mckenna, Sean A.. Changes in streamflow statistical structure across the United States due to recent climate change[J],2023,620. |
APA | Gupta, Abhinav,Carroll, Rosemary W. H.,&Mckenna, Sean A..(2023).Changes in streamflow statistical structure across the United States due to recent climate change.JOURNAL OF HYDROLOGY,620. |
MLA | Gupta, Abhinav,et al."Changes in streamflow statistical structure across the United States due to recent climate change".JOURNAL OF HYDROLOGY 620(2023). |
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