使用高频和低频时间序列数据量化沿海水质的季节性到多十年信号
Emma I Brahmey1, Karen J McGlathery1, Scott C Doney1
1Department of Environmental Sciences, University of Virginia, Charlottesville, VA, USA.
Cambridge prisms. Coastal futures
|August 29, 2025
概括
弗吉尼亚州的沿海湖显示出水质的显著季节性变化. 检测长期趋势需要数十年的数据,因为变化很大.
科学领域:
- 沿海生态
- 监测水质
- 河口海洋学
背景情况:
- 了解季节性和趋势对于沿海生态系统的有效水质监测和建模至关重要.
- 弗吉尼亚州东海岸的沿海湖具有独特的环境条件,影响水的参数.
研究的目的:
- 研究沿海湖水质参数的季节性和长期趋势.
- 为沿海研究场所提供信息和改进水质监测技术和建模策略.
主要方法:
- 使用了大约30年的来自13个地点的季度采样低频数据的波分析.
- 从两个大陆站点采集了4-6年的高频率 (15分钟分辨率) 探测数据,用于统计部分采样.
- 分析的关键参数:温度,溶解氧,明显氧利用率 (AOU),盐度和叶绿素-a.
主要成果:
- 年度波主要是温度,溶解氧和AOU季节性;盐度和叶绿素-a显示混合年/半年波.
- 大陆地区的温度,叶绿素a和AOU的季节幅度更大,夏季峰值更高.
- 在一些大陆地区观察到有统计意义的十年性变暖和甲度的增加.
结论:
- 准确量化气候季节周期需要一到几十年的低频数据.
- 检测长期水质趋势在采样频率低,季节性和跨年性差异较大的地点是具有挑战性的.
- 这些发现强调了需要长期高频监测以从沿海湖的自然变化中辨别趋势.
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