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在北黄海北部的甲和控制机制的动态变化

Zongcai He¹, Ke Cao², Saiya Xu³

¹State Environmental Protection Key Laboratory of Coastal Ecosystem, National Marine Environmental Monitoring Center, Dalian 116023, China.

Marine pollution bulletin

|June 4, 2025

概括

北黄海释放出大量大气中的甲 (CH4),作为净来源. 溶解的CH4度受到环境因素的影响,机器学习预测了排放.

科学领域:

海洋地球化学海洋地球化学
环境科学环境科学
海洋学海洋学海洋学

背景情况:

北黄海 (NYS) 是一个边缘海,其复杂的动态影响着水质交换.
环境因素如下水流,热带和季风影响了纽约州的甲 (CH4) 分布.

研究的目的:

调查纽约州北部的溶解甲度和流量.
了解CH4与环境参数 (温度,盐度,DO,chl-a) 之间的关系.
使用机器学习预测CH4度并评估影响变量.

主要方法:

在2022年5月,8月,10月和2023年2月,6月,9月进行的实地巡航.
测量表面和底部的溶解CH4度.
应用随机森林机器学习模型,将CH4数据与环境参数集成在一起.

主要成果:

溶解的CH4度在4.026.9nmol/L (表面) 和6.827.8nmol/L (底部) 之间.
表面海水显示出显著的CH4超和 (103%1211%),海到空气的流量从0.5190.2μmol/(m2·day).
年度CH4排放量估计为7.8×10^7mol/年.

结论:

纽约州北部是大气中甲的净来源.
环境因素在研究区域显著影响CH4动态.
机器学习模型有效地预测CH4度和变量重要性.

关键词:

溶解中的甲.土地源流失的土地来源流失北黄海北黄海是什么意思随机森林机器学习模型海到空气CH4) 流量热电线的热电线.

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