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通过遥感,Daya湾的时空空间模式和气度的驱动因素

Jingjing Huang¹, Difeng Wang², Lihua Ran³

¹Ocean College, Zhejiang University, Zhoushan, 316021, China.

Marine pollution bulletin

|November 18, 2025

概括

沿海生态系统因过度的气而面临退化. 这项研究使用卫星数据在Daya湾绘制了总 (TN) 和溶解无机 (DIN) 的地图,确定了家用废水作为关键驱动因素.

科学领域:

环境科学环境科学
遥感遥感遥感遥感
海洋学海洋学海洋学

背景情况:

过度的度会降低沿海生态系统,导致有害的藻类繁殖和缺氧.
关于沿海气动态的有限的长期高分辨率数据阻碍了有效的管理.
总 (TN) 和溶解无机 (DIN) 是对优化评估的关键指标.

研究的目的:

开发和比较用于利用卫星图像重建度的反转模型.
为了分析Daya Bay的长期沿海气动态.
为了确定度变化的驱动因素,并告知安化控制.

主要方法:

整合Landsat-5/7/8/9 (1986-2024) 图像与现场测量的整合.
开发和比较多个倒置模型,选择高斯过程回归.
应用变化点分析,曼-肯德尔测试和夏普利添加式解释 (SHAP) 进行趋势和归因分析.

主要成果:

高斯过程回归模型准确地重建了TN和DIN度 (RMSE:TN的0.16/0.14 mg/L,DIN的0.09/0.09 mg/L).
平均TN和DIN度为0.50和0.23毫克/升,在河口附近的空间聚类.
在2013年 (TN) 和1998年 (DIN) 检测到的突然转变,但没有显著的长期单调趋势;家庭废水被确定为主要驱动因素.

结论:

卫星数据集成为评估沿海气动态提供了一个框架.
河口地区由于土地使用和废水排放等因素,度较高.
同时的TN/DIN监测对于精度管理和优化控制至关重要.

关键词:

人为驱动因素人为驱动因素达雅达雅湾达雅达雅海湾达雅达雅陆地卫星与GPR的融合长期的重建长期的重建遥感水质水质的远程检测.半封闭的海湾管理管理.

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