TSWS:天山山脉流域 (1901-2019) 的基于观测的溪流数据集 (1901-2019)
Shuai Li1,2, Wei Wei1,2,3, 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
概括
一个新的天山流域溪流 (TSWS) 数据集提供了从1901-2019年的长期每日和每月溪流数据. 这种宝贵的资源揭示了日益增长的流动趋势和空间变化,有助于在数据稀缺的天山地区进行水文研究.
科学领域:
- 水文学的水文学
- 环境科学 环境科学
- 数据科学数据科学数据科学
背景情况:
- 天山地区面临着数据稀缺和复杂的水文条件,阻碍了长期的溪流分析.
- 天山山脉现有的水文数据往往不完整,限制了全面的研究.
研究的目的:
- 为天山地区制造一个全面的,长期的多盆地溪流数据集.
- 分析天山山脉内流动的时空空间变化.
主要方法:
- 通过整合来自Hydrologiska Byråns Vattenavdelning (HBV) 和长短期记忆 (LSTM) 模型的结果,开发了天山流域流量 (TSWS) 数据集.
- 使用S测试验证了流动模拟,在相当一部分流域中实现了高效率 (纳什-萨特克利夫效率≥0.5).
主要成果:
- 该TSWS数据集提供了56个流域的每日流量和89个流域的每月数据,涵盖了1901-2019年.
- 对众多流域的模拟流量数据符合严格的验证标准,确保数据可靠性.
- 观察到整体上升的流量趋势,特别是从1990年到2019年,西部和南部的流量较高,东部和北部的流量较低.
结论:
- 该TSWS数据集代表了天山地区首个全面的流动模拟.
- 长时间序列和详细数据为未来的气候和水文研究提供了关键的参考.
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