一个协调的河流与海洋结合的数据库,用于墨西哥湾北部
Bailey Armos1, Shuang Zhang2, Tao Wen3
1Department of Oceanography, Texas A&M University, College Station, TX, 77843, USA.
Scientific data
|December 31, 2024
概括
研究人员为墨西哥湾北部 (nGoM) 创建了一个统一的河流和海洋数据数据库. 该资源整合了水地化学和排放数据,增强了河流海洋系统研究,并促进了FAIR数据原则.
科学领域:
- 环境科学 环境科学
- 海洋学 海洋学 海洋学
- 水文学的水文学
- 地质化学 地质化学
背景情况:
- 墨西哥湾北部 (nGoM) 是一个动态的河流海洋系统,受到包括密西西比河在内的众多河流的影响.
- 人类活动对流入nGoM的河流的水地化学特征产生重大影响.
- 大规模的数据驱动型研究需要综合数据集,以了解区域环境过程.
研究的目的:
- 为nGoM整合和协调水地化学河流和海洋数据.
- 为研究创建一个预处理的,时间平均的河流与海洋结合数据库 (ROcD-nGoM).
- 证明使水文和海洋学数据公平 (可查找,可访问,可互操作,可重复使用) 的价值.
主要方法:
- 在nGoM的54条河流中协调了35个化学溶液参数.
- 纳入河流排放数据以估计每日溶液度和流量.
- 整合了17个海洋学参数的河流数据,以开发ROcD-nGoM数据库.
主要成果:
- 开发了ROcD-nGoM,这是一个综合河流和海洋数据的综合数据库,用于nGoM.
- 为影响nGoM的河流生成的每日溶解物度和流量估计.
- 创建了一个可适应的脚本,用于分析额外的化学溶液和其他地理区域.
结论:
- ROcD-nGoM数据库简化和增强了nGoM河流海洋系统中各种研究工作.
- 该研究强调了FAIR数据原则在环境研究中的重要性和好处.
- 开发的方法和脚本为未来的水地化学和海洋学研究提供了宝贵的工具.
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