2018
DOI: 10.1016/j.jhydrol.2018.06.058
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Long-term trends in global river flow and the causal relationships between river flow and ocean signals

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Cited by 65 publications
(39 citation statements)
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References 90 publications
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“…The latter interpretation is consistent with the results of a large-scale study of trends in the flow of 916 world's largest rivers by Su et al (2018). The results, and specifically those in their Table 1 that take into account the long-term persistence, show some trends, either positive (3.7% of the rivers) or negative (8.2% of the rivers).…”
Section: Is Quite Indicative: 460supporting
confidence: 88%
“…The latter interpretation is consistent with the results of a large-scale study of trends in the flow of 916 world's largest rivers by Su et al (2018). The results, and specifically those in their Table 1 that take into account the long-term persistence, show some trends, either positive (3.7% of the rivers) or negative (8.2% of the rivers).…”
Section: Is Quite Indicative: 460supporting
confidence: 88%
“…For example, decreased river runoff may in some cases be directly attributed to anthropogenic activities within the river catchment. These activities may be the building of dams and reservoirs, but also land use changes (agriculture, forestry), urbanization, structural changes to shoreline or the extraction of water for irrigation purposes (Figures 1G,H) (Milliman et al, 2008;García-Ruiz et al, 2011;Su et al, 2018). Within midlatitude rivers for example, river runoff has decreased by ∼60% during the last half of the 20th century (Milliman et al, 2008).…”
Section: Global Cases Caused By Structural Modificationsmentioning
confidence: 99%
“…For a better understanding of these changes and for effective managing of water resources, hydro-meteorological investigations in river watersheds have been carried out around the world. However, most of these studies focused rather on a large watershed scale due to the data availability [13,14]. In contrast, not much research has been devoted to small watersheds, in which there is a shortage of long-term datasets [15] that are needed for climate impact studies [16].…”
Section: Introductionmentioning
confidence: 99%