瑞士数据质量:增加CAMELS-CH的同位素,水质,农业和大气数据
Thiago V M do Nascimento1,2, Marvin Höge3, Ursula Schönenberger3
1Eawag: Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, Switzerland. thiago.nascimento@eawag.ch.
Scientific data
|July 23, 2025
概括
这项研究介绍了CAMELS-CH-Chem,这是115个瑞士水域的新水质数据集,扩大了大样本水文学研究. 这些数据支持用广泛的水质参数进行水文和生物地质化学建模.
科学领域:
- 水文学 水文学
- 环境科学 环境科学
- 地质化学 地质化学
背景情况:
- 大样本水文学 (LSH) 研究正在增长,但水质数据仍然有限.
- 现有的LSH数据集往往缺乏全面的水质参数,阻碍了综合研究.
- 需要大量的高分辨率水质数据来推进水文和生物地质化学研究.
研究的目的:
- 推出CAMELS-CH-Chem,这是瑞士水域的新型水质数据集.
- 将现有的CAMELS-CH数据集扩展至40个水质参数.
- 促进更广泛地将水质纳入LSH研究,并支持先进的建模.
主要方法:
- 从1981年到2020年,收集了115个瑞士水域的水质数据.
- 包括温度,溶解氧,pH和导电性等参数的每小时/每天时间序列.
- 包括各种化学成分 (例如,DOC,TOC,营养素,离子) 和同位素的综合 (每两个月一次) 测量.
主要成果:
- 开发了CAMELS-CH-Chem,一个包含多达40个水质参数的全面数据集.
- 数据集涵盖了115个瑞士的水域,跨越了40年的时间 (1981-2020).
- 包括流域聚合降水同位素,土地覆盖和大气沉积数据.
结论:
- CAMELS-CH-Chem显著提高了LSH研究用水质数据的可用性.
- 该数据集为研究水文和生物地球化学过程提供了坚实的基础.
- 能够在环境科学和水文学中获得新的见解和改进的建模.
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