State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China; School of Oceanography, Shanghai Jiao Tong University, Shanghai 200030, China; Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519080, China.
State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China; Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519080, China.
Harmful Algae. 2022 Jan;111:102164. doi: 10.1016/j.hal.2021.102164. Epub 2021 Dec 22.
This review assesses monitoring, modeling and projection of harmful algal blooms (HABs) in China, with a focus on near-term warning and long-term trend projection. We reviewed phytoplankton monitoring as early warning, remote sensing for offshore environments, building models to describe ecological processes, modeling and forecasting near-term or seasonal HAB events, and projection of long-term HAB trend in China. Over the past 40 years, great progresses were made in traditional observation capability of HABs, and some reliable remote sensing algorithms were developed for HABs in optically complex coastal waters in Chinese seas. Numerical models have been applied to simulating real-world algal bloom events successfully; and these models, to some degree, are capable of predicting the time and place of HAB occurrence. In terms of long-term trend, HABs appeared to have shown diversified forms, being more miniaturized and more harmful. The development of an integrated monitoring and early-warning system of algal blooms and HABs should be a necessary first step to provide an effective management tool for mitigating damages associated with the occurrence of HABs in China.
本综述评估了中国有害藻华（HAB）的监测、建模和预测，重点关注短期预警和长期趋势预测。我们回顾了浮游植物监测作为早期预警、近海环境的遥感、建立模型来描述生态过程、建模和预测短期或季节性 HAB 事件，以及中国长期 HAB 趋势的预测。在过去的 40 年中，中国在 HAB 的传统观测能力方面取得了巨大进展，并开发了一些可靠的用于中国海域光复杂沿海地区 HAB 的遥感算法。数值模型已成功应用于模拟真实世界的藻华事件；并且这些模型在某种程度上能够预测 HAB 发生的时间和地点。就长期趋势而言，HAB 似乎呈现出多样化的形式，变得更加微小化和更具危害性。开发藻类和 HAB 综合监测和预警系统应该是提供有效管理工具以减轻中国 HAB 发生相关损害的必要第一步。
