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美国的流动流:特点,趋势,政权转变和极端
Yiming Wang1, Xuesong Zhang2, Kaiguang Zhao3
1USDA-ARS Hydrology and Remote Sensing Laboratory, Beltsville, MD, 20705-2350, USA.
Scientific data
|July 17, 2024
概括
突如其来的流动变化,包括政权转变和极端事件,在整个有限的美国 (CONUS) 正在增加. 这项研究分析了来自8000个站的70年的数据,揭示了关键的水文趋势.
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:
- 长期流量数据对于理解水文变化和水资源管理至关重要.
- 缺乏对整个美国 (CONUS) 的时间流变化进行全面的大陆规模分析.
研究的目的:
- 编制和分析70年来在CONUS地区的流量记录.
- 描述时间趋势,政权转变和极端流动事件.
- 为水文和生物应用开发有价值的流量指标.
主要方法:
- 编制了来自CONUS大约8000个水文站的70年 (1951-2021) 的溪流记录.
- 利用贝叶斯时间序列分析算法来识别时间趋势,政权转变和极端事件.
- 衍生出与事件持续时间和频率相关的181个流量指标.
主要成果:
- 随着时间的推移,突然的流量变化的频率,包括政权转换和极端事件,在CONUS地区随着时间的推移而增加.
- 确定了密西西比河流域,特别是其中部和下部,作为高频,高流量事件的热点.
- 创建了181个流量指标的数据集,有利于水文和生态研究.
结论:
- 分析显示,在CONUS地区,突然的流量变化趋势越来越大.
- 衍生出的流量指标为水资源管理和生态评估提供了宝贵的见解.
- 生成的数据集为了解和量化CONUS地区的水资源动态提供了重要的资源.
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