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Related Experiment Video

Updated: May 9, 2025

Continuous Instream Monitoring of Nutrients and Sediment in Agricultural Watersheds

Continuous Instream Monitoring of Nutrients and Sediment in Agricultural Watersheds

Published on: September 26, 2017

TSWS: An observation-based streamflow dataset of Tianshan Mountains watersheds (1901-2019).

Shuai Li^1,2, Wei Wei^1,2,3, Yaning Chen⁴

¹State Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, 830011, China.

Scientific Data

|April 29, 2025

Summary

A new Tianshan watershed streamflow (TSWS) dataset offers long-term daily and monthly streamflow data from 1901-2019. This valuable resource reveals an increasing streamflow trend and spatial variations, aiding hydrological studies in the data-scarce Tianshan region.

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Last Updated: May 9, 2025

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Area of Science:

Hydrology
Environmental Science
Data Science

Background:

The Tianshan region faces data scarcity and complex hydrological conditions, hindering long-term streamflow analysis.
Existing hydrological data in the Tianshan Mountains is often incomplete, limiting comprehensive research.

Purpose of the Study:

To produce a comprehensive, long-term multi-basin streamflow dataset for the Tianshan region.
To analyze the spatiotemporal variations of streamflow within the Tianshan Mountains.

Main Methods:

Developed the Tianshan Watershed Streamflow (TSWS) dataset by integrating results from Hydrologiska Byråns Vattenavdelning (HBV) and Long Short-Term Memory (LSTM) models.
Validated streamflow simulations using S-tests, achieving high efficiency (Nash-Sutcliffe efficiency ≥0.5) for a significant portion of the watersheds.

Main Results:

The TSWS dataset provides daily streamflow for 56 watersheds and monthly data for 89 watersheds spanning 1901-2019.
Simulated streamflow data for numerous watersheds met rigorous validation criteria, ensuring data reliability.
An overall increasing streamflow trend was observed, particularly from 1990 to 2019, with higher flows in the west and south, and lower flows in the east and north.

Conclusions:

The TSWS dataset represents the first comprehensive streamflow simulation for the Tianshan region.
The long time series and detailed data provide a crucial reference for future climatic and hydrological research.