开发一种早期预警系统,对蓝藻细菌有害藻类繁殖进行预警
Shekhar Mahat1, Zhiqiang Deng1, Sibel Bargu2
1Department of Civil and Environmental Engineering, Louisiana State University, Baton Rouge, Louisiana 70803, USA.
Marine pollution bulletin
|November 5, 2025
概括
一个新的CyanoHAB早期预警系统 (CyanoHAB-EWS) 使用随机森林模型预测有害的藻类繁殖. 该系统提供每日预测,提前10天,从而能够采取积极的公共卫生措施.
科学领域:
- 环境科学 环境科学
- 遥感 遥感 遥感 遥感
- 数据科学数据科学数据科学
背景情况:
- 有害的菌繁殖 (CyanoHABs) 对水生生态系统和公共健康构成重大风险.
- 有效的预警系统对于及时干预和减缓战略至关重要.
研究的目的:
- 开发和验证Pontchartrain湖河口的CyanoHAB预警系统 (CyanoHAB-EWS).
- 提供每日预测的CyanoHABs带头时间为1,5和10天.
主要方法:
- 在R统计环境中使用随机森林 (RF) 模型.
- 整合了一年的植物素 (PC) 度数据和卫星遥感数据用于模型开发.
- 经过验证的模型采用6年的额外数据,使用1-8个输入变量,包括环境预测因素及其时间滞后.
主要成果:
- 开发了三组基于射频的预测模型,具有1,5和10天的交付时间.
- 最先进的模型,包括预测因素的时间延迟,解释了多达98%的观察到的PC度变化.
- 证明了先前环境条件对于CyanoHAB预测的重要性.
结论:
- 开发的CyanoHAB-EWS提供每天的预测,使我们能够积极应对潜在的CyanoHAB事件.
- 该系统的灵活性与基于数据可用性的可选模型满足各种用户需求.
- 这些发现支持政府及时采取行动,保护公众健康免受CyanoHABs的影响.
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