Publication | Open Access
TP-River: Monitoring and Quantifying Total River Runoff from the Third Pole
130
Citations
59
References
2021
Year
Environmental MonitoringEngineeringEarth ScienceCatchment ScaleWatershed ManagementHydrological ModelingHydroclimate ModelingClimate ChangeHydrometeorologyRiver Basin ManagementSurface RunoffGeographyThird PoleHydrologyClimate DynamicsClimatologyHydrologic Remote SensingWater ResourcesCivil EngineeringSurface-water HydrologyRemote SensingHydrological ScienceFlood Risk Management
Abstract Monitoring changes in river runoff at the Third Pole (TP) is important because rivers in this region support millions of inhabitants in Asia and are very sensitive to climate change. Under the influence of climate change and intensified cryospheric melt, river runoff has changed markedly at the TP, with significant effects on the spatial and temporal water resource distribution that threaten water supply and food security for people living downstream. Despite some in situ observations and discharge estimates from state-of-the-art remote sensing technology, the total river runoff (TRR) for the TP has never been reliably quantified, and its response to climate change remains unclear. As part of the Chinese Academy of Sciences’ “Pan-Third Pole Environment Study for a Green Silk Road,” the TP-River project aims to construct a comprehensive runoff observation network at mountain outlets (where rivers leave the mountains and enter the plains) for 13 major rivers in the TP region, thereby enabling TRR to be accurately quantified. The project also integrates discharge estimates from remote sensing and cryosphere–hydrology modeling to investigate long-term changes in TRR and the relationship between the TRR variations and westerly/monsoon. Based on recent efforts, the project provides the first estimate (656 ± 23 billion m 3 ) of annual TRR for the 13 TP rivers in 2018. The annual river runoff at the mountain outlets varies widely between the different TP rivers, ranging from 2 to 176 billion m 3 , with higher values mainly corresponding to rivers in the Indian monsoon domain, rather than in the westerly domain.
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