Chinese researchers release streamflow dataset from Tianshan Mountains to study water management

Tianshan: Chinese researchers have released a streamflow dataset of Tianshan Mountains watersheds, the key source region of Central Asian rivers, as part of environmental studies into water management, and climate change, media reports said, reports Dynamite News correspondent.

The study, led by researchers from the Xinjiang Institute of Ecology and Geography of the Chinese Academy of Sciences, was published in the journal Scientific Data, Xinhua reported.

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The dataset compiles daily streamflow data for 56 watersheds and monthly data for 89 watersheds in the Tianshan Mountains. The researchers reconstructed streamflow observations by integrating data from both domestic and international monitoring stations.

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The researchers reconstructed streamflow observations by integrating data from both domestic and international monitoring stations. They used the Hydrologiska Byråns Vattenavdelning (HBV) model and the Long Short-Term Memory (LSTM) model to achieve this, and validated their results with S-tests (statistical results), according to phys.org.

The study revealed an overall increasing trend in Tianshan streamflow, which was particularly prominent between 1990 and 2019. Spatially, it showed higher streamflow in the west and south, and lower streamflow in the east and north.Due to scarcity of data and complex hydrological conditions in the Tianshan region, long-term and complete streamflow data are still lacking, said Li Shuai, first author of this study.

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"To the best of our knowledge, this is the first comprehensive and long-term streamflow modeling and data reconstruction effort at the watershed scale in the Tianshan Mountains," said Li Shuai, first author of the study.

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The dataset fills the gap in the availability of comprehensive streamflow data for smaller basins in the Tianshan Mountains, and provides essential data for managing water resources and assessing the impact of climate change in the region, according to the study. (With inputs from agencies)