Abstract：
The annually recurring Yellow Sea green tide causes significant economic, social, and ecological impacts in China. Currently, the magnitude of Yellow Sea green tide is usually evaluated according to the snap shot maximum algal coverage area or artificially removed algal biomass. However, this method ignores growth of the alga Ulva prolifera and thus needs improvement. We build a model to predict algal growth in drifting from upstream and the potential muaximum biomass of green tide. The results suggest that the potential maximum biomass is significantly higher than those estimated merely from maximum algal coverage area, particularly for years with extended period of algal loading in the upstream. Our method improves the evaluation of the magnitude of green tide and provides a scientific basis for developing effective countermeasures to reduce the persistent disaster.
摘要：
每年反复出现的黄海绿潮造成重大的经济，社会,以及对中国的生态影响。目前,通常根据快照最大藻类覆盖面积或人工去除的藻类生物量来评估黄海绿潮的大小。然而,这种方法忽略了藻类Ulva增殖的生长，因此需要改进。我们建立了一个模型来预测从上游漂流的藻类生长和绿潮的潜在最大生物量。结果表明，潜在的最大生物量显着高于仅从最大藻类覆盖面积估计的生物量。特别是在上游藻类负荷时间延长的年份。我们的方法改进了对绿潮程度的评估，为制定有效的对策减少持续灾害提供了科学依据。
