Multiscale variability of streamflow in the Three Rivers Headwater Region, China, and links to large-scale atmospheric circulation indices
Exploring the relations between streamflow and large-scale atmospheric circulation systems can assist in identifying potentially useful indicators for the modeling of hydrological processes. With the help of ensemble empirical mode decomposition and the wavelet analysis method, this research explore...
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IWA Publishing
2021
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oai:doaj.org-article:212aaa1e63ec4e5dac83d2e414b6d8822021-11-05T18:31:13ZMultiscale variability of streamflow in the Three Rivers Headwater Region, China, and links to large-scale atmospheric circulation indices2040-22442408-935410.2166/wcc.2020.255https://doaj.org/article/212aaa1e63ec4e5dac83d2e414b6d8822021-03-01T00:00:00Zhttp://jwcc.iwaponline.com/content/12/2/521https://doaj.org/toc/2040-2244https://doaj.org/toc/2408-9354Exploring the relations between streamflow and large-scale atmospheric circulation systems can assist in identifying potentially useful indicators for the modeling of hydrological processes. With the help of ensemble empirical mode decomposition and the wavelet analysis method, this research explored streamflow variations and its links to large-scale atmospheric circulation indices during 1960–2012 in the Three Rivers Headwater Region (TRHR). A steady increasing trend was detected in the streamflow of the source region of Yangtze River (SYR), and a steady decreasing trend was detected in the streamflow of the source region of Lancang River (SLR). The streamflow of the source region of Yellow River (SYeR) had an increasing trend in the early years of the study period and subsequently exhibited a decreasing trend. The Tibetan Plateau monsoon (TPM), Arctic Oscillation (AO), and South Asia monsoon (SAM) are the key factors influencing streamflow changes in the SYR, SYeR, and SLR, respectively. At interannual time-scale variation with the period of about 3–9 years, an antiphase relationship exists between SYR streamflow and TPM indices, while in-phase relationships are detected between SYeR (SLR) streamflow and AO (SAM) indices.Jian TangHuiqun CaoIWA Publishingarticleensemble empirical mode decompositionlarge-scale atmospheric circulation indicesstreamflowthree rivers headwater regionwavelet analysis methodEnvironmental technology. Sanitary engineeringTD1-1066Environmental sciencesGE1-350ENJournal of Water and Climate Change, Vol 12, Iss 2, Pp 521-532 (2021) |
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ensemble empirical mode decomposition large-scale atmospheric circulation indices streamflow three rivers headwater region wavelet analysis method Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 |
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ensemble empirical mode decomposition large-scale atmospheric circulation indices streamflow three rivers headwater region wavelet analysis method Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Jian Tang Huiqun Cao Multiscale variability of streamflow in the Three Rivers Headwater Region, China, and links to large-scale atmospheric circulation indices |
description |
Exploring the relations between streamflow and large-scale atmospheric circulation systems can assist in identifying potentially useful indicators for the modeling of hydrological processes. With the help of ensemble empirical mode decomposition and the wavelet analysis method, this research explored streamflow variations and its links to large-scale atmospheric circulation indices during 1960–2012 in the Three Rivers Headwater Region (TRHR). A steady increasing trend was detected in the streamflow of the source region of Yangtze River (SYR), and a steady decreasing trend was detected in the streamflow of the source region of Lancang River (SLR). The streamflow of the source region of Yellow River (SYeR) had an increasing trend in the early years of the study period and subsequently exhibited a decreasing trend. The Tibetan Plateau monsoon (TPM), Arctic Oscillation (AO), and South Asia monsoon (SAM) are the key factors influencing streamflow changes in the SYR, SYeR, and SLR, respectively. At interannual time-scale variation with the period of about 3–9 years, an antiphase relationship exists between SYR streamflow and TPM indices, while in-phase relationships are detected between SYeR (SLR) streamflow and AO (SAM) indices. |
format |
article |
author |
Jian Tang Huiqun Cao |
author_facet |
Jian Tang Huiqun Cao |
author_sort |
Jian Tang |
title |
Multiscale variability of streamflow in the Three Rivers Headwater Region, China, and links to large-scale atmospheric circulation indices |
title_short |
Multiscale variability of streamflow in the Three Rivers Headwater Region, China, and links to large-scale atmospheric circulation indices |
title_full |
Multiscale variability of streamflow in the Three Rivers Headwater Region, China, and links to large-scale atmospheric circulation indices |
title_fullStr |
Multiscale variability of streamflow in the Three Rivers Headwater Region, China, and links to large-scale atmospheric circulation indices |
title_full_unstemmed |
Multiscale variability of streamflow in the Three Rivers Headwater Region, China, and links to large-scale atmospheric circulation indices |
title_sort |
multiscale variability of streamflow in the three rivers headwater region, china, and links to large-scale atmospheric circulation indices |
publisher |
IWA Publishing |
publishDate |
2021 |
url |
https://doaj.org/article/212aaa1e63ec4e5dac83d2e414b6d882 |
work_keys_str_mv |
AT jiantang multiscalevariabilityofstreamflowinthethreeriversheadwaterregionchinaandlinkstolargescaleatmosphericcirculationindices AT huiquncao multiscalevariabilityofstreamflowinthethreeriversheadwaterregionchinaandlinkstolargescaleatmosphericcirculationindices |
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1718444087857643520 |