利用卫星图像-数值模型耦合框架对约克河河口的多krikoides margalefidides进行了模拟

IF 2.8 2区 生物学 Q1 MARINE & FRESHWATER BIOLOGY
Xin Yu, Michelle C. Tomlinson, Jian Shen, Yizhen Li, Alexandria G. Hounshell, Gail P. Scott, Kimberly S. Reece
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引用次数: 0

摘要

用于探测有害藻华的卫星遥感技术的最新进展使数值模拟方法与卫星图像相结合能够跟踪和预测河口和沿海水域的有害藻华。在过去的十年里,美国弗吉尼亚州约克河下游几乎每年都会发生一次藻华,研究人员利用高分辨率水动力学模型模拟藻类混合营养生长、呼吸和垂直日迁移,并采用粒子跟踪模型预测了该地区Margalefidinium polykrikoides (M. polykrikoides)华的空间分布和时间演变。通过海洋陆地彩色成像仪(OLCI)卫星在2022年8月至9月期间收集的叶绿素-a浓度,确定颗粒释放位置和密度。在两个月的水华期可获得大量高质量卫星图像(n=34),可以对模型框架进行全面检查。在这里,我们通过比较模型预测和颗粒释放后1-5天的卫星观测,证明了耦合卫星-模型框架预测短期水华运动的潜力。我们还进行了敏感性测试,发现设置最大游动深度和包含浮游植物垂直迁移的次表层聚集深度大大改善和提高了模型的性能。真正预测(TPP;在颗粒释放3天后,用于量化模型性能的指数从基础设置的50%增加到约70%,当包括2米的水下聚集和最大游泳深度为5米时。总体而言,模式评价结果表明,数值模拟与卫星遥感相结合的方法是追踪约克河河口赤潮的有效方法,并为切萨皮克湾下游及其他沿海和河口水域的海岸管理者预测赤潮的位置和强度提供了框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using a coupled satellite image-numerical model framework to simulate Margalefidinum polykrikoides in the York River estuary
Recent advances in satellite remote sensing technology for detecting harmful algal blooms (HABs) make it possible to combine numerical modeling approaches and satellite imagery to track and predict HABs in estuarine and coastal waters. We employed a particle-tracking model using a high-resolution hydrodynamic model capable of simulating algal mixotrophic growth, respiration, and vertical diurnal migration to predict the spatial distribution and temporal evolution of a Margalefidinium polykrikoides (M. polykrikoides) bloom in the lower York River, VA USA, where HABs have occurred nearly annually over the past decade. Particle release location and density were determined by chlorophyll-a concentrations obtained from Ocean Land Colour Imager (OLCI) satellite imagery collected during August-September 2022. Numerous high-quality satellite images (n=34) available in the two-month bloom period allow for a comprehensive examination of the model framework. Here, we demonstrate the potential of the coupled satellite-model framework to predict short-term bloom movement by comparing model predictions and satellite observations 1-5 days after the particle release date. We also carried out sensitivity tests and found that setting a maximum swimming depth and including sub-surface aggregation depth for phytoplankton vertical migration substantially improved and advanced the model performance. True positive prediction (TPP; an index used to quantify model performance) for bloom 3 days after particle release increases from 50% in base setup to ~70% when including sub-surface aggregation at 2 m and maximum swimming depth of 5 m. Overall, model evaluation results show that a combined numerical modeling and satellite remote sensing approach is an effective way to track HABs in the York River estuary and provides a framework to forecast HAB location and intensity for coastal managers in the lower Chesapeake Bay and other coastal and estuarine waters.
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来源期刊
Frontiers in Marine Science
Frontiers in Marine Science Agricultural and Biological Sciences-Aquatic Science
CiteScore
5.10
自引率
16.20%
发文量
2443
审稿时长
14 weeks
期刊介绍: Frontiers in Marine Science publishes rigorously peer-reviewed research that advances our understanding of all aspects of the environment, biology, ecosystem functioning and human interactions with the oceans. Field Chief Editor Carlos M. Duarte at King Abdullah University of Science and Technology Thuwal is supported by an outstanding Editorial Board of international researchers. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, policy makers and the public worldwide. With the human population predicted to reach 9 billion people by 2050, it is clear that traditional land resources will not suffice to meet the demand for food or energy, required to support high-quality livelihoods. As a result, the oceans are emerging as a source of untapped assets, with new innovative industries, such as aquaculture, marine biotechnology, marine energy and deep-sea mining growing rapidly under a new era characterized by rapid growth of a blue, ocean-based economy. The sustainability of the blue economy is closely dependent on our knowledge about how to mitigate the impacts of the multiple pressures on the ocean ecosystem associated with the increased scale and diversification of industry operations in the ocean and global human pressures on the environment. Therefore, Frontiers in Marine Science particularly welcomes the communication of research outcomes addressing ocean-based solutions for the emerging challenges, including improved forecasting and observational capacities, understanding biodiversity and ecosystem problems, locally and globally, effective management strategies to maintain ocean health, and an improved capacity to sustainably derive resources from the oceans.
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