美国湖泊和溪流中的甲 (2005-2022)
Sarah A Spaulding1, Lindsay R C Platt2,3, Jennifer C Murphy4
1U.S. Geological Survey, INSTAAR, 4001 Discovery Drive, Boulder, CO, 80309, USA. sspaulding@usgs.gov.
Scientific data
|June 12, 2024
概括
这项研究呈现了美国最大的叶绿素数据汇编,对于预测有害藻类繁殖 (HABs) 至关重要. 统一的18年数据集支持全国的先进建模和传感器校准工作.
科学领域:
- 环境科学 环境科学
- 生态生态学 生态生态学
- 水质监测 水质监测
背景情况:
- 植物浮游生物和周围植物中的素度是藻类生物质的关键指标.
- 有害藻类繁殖 (HABs) 构成重大的生态和经济威胁.
- 准确的藻类生物量数据对于开发预测模型至关重要.
研究的目的:
- 编制美国最大的统一的离散数据集,实验室提取的叶绿素数据.
- 支持基于过程的机器学习和遥感模型的开发,用于HAB预测.
- 为了解藻类生物质动态提供一个全面的资源.
主要方法:
- 编制了18年 (2005-2022) 的美国水体颜色数据记录.
- 来自水质门户网站 (WQP) 和美国地质调查局国家水质实验室 (NWQL) 的综合数据.
- 对单位,颜料类型,重复,深度,地点名称和极端值的统一数据.
主要成果:
- 创建了近8.4万个站点的数据集,共计超过137.4万个色素测量.
- 鉴定了采样频率,分布和方法的州级显著变化.
- 建立了一个基础数据集,用于各种水质研究应用.
结论:
- 汇编的数据集代表了美国HAB研究和水质监测的重大进步.
- 这种资源对于校准预测模型,现场传感器和评估时间趋势至关重要.
- 这些数据将有助于更深入地了解营养物质的影响和其他藻类动态的驱动因素.
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