评估一个热带微潮河口的热带状态,应用TRIX和随机森林 - 一种结合的方法
Pranab Gogoi1, Sanjoy Kumar Das1, Chayna Jana1
1ICAR-Central Inland Fisheries Research Institute, Barrackpore, Kolkata 700120, India.
Marine pollution bulletin
|February 8, 2024
概括
鲁希库利亚河口呈现中度环氧化,这表明水质良好,但生物质和. 欧化是由酸盐-和电导率驱动的,而不是度.
科学领域:
- 环境科学 环境科学
- 生态生态学 生态生态学
- 评估水质水质的评估.
背景情况:
- 河口是面临日益增加的人为压力的重要生态系统.
- 热带状况评估对于了解河口健康和管理水质至关重要.
- 鲁希库利亚河口的热带动力学需要详细的调查.
研究的目的:
- 通过使用多个指数和机器学习来评估Rushikulya河口的营养状况.
- 为了确定优化和叶绿素a (Chl a) 变异性的关键驱动因素.
- 评估河口内的水质和生态状况.
主要方法:
- 使用的多尺度奖杯指数:TRIX和TRBIX.
- 采用随机森林机器学习模型来预测Chl a和水变量.
- 在六个地点分析了108个采集在两年期间 (2021-2023) 的样本.
主要成果:
- 平均TRIX (5.04) 和TRBIX (0.17) 表示温和的环氧化和"良好的"水质与"生物质和"条件.
- 在TRIX的门表明过渡到更高的环氧化水平.
- 随机森林发现30NTU以上没有显著的Chl a-度联系;优化驱动因素是PO43--P和电导率.
- 观察到高Chla-导电性相关性和负Chla-溶解氧相关性.
结论:
- 鲁希库利亚河口处于中度环氧化状态,有可能增加营养物质负载.
- 酸和电导率是影响河口缩的主要因素.
- 使用热量指数和机器学习的综合监测为河口水质管理提供了强大的洞察力.
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