Two drifting paths of Sargassum bloom in the Yellow Sea and East China Sea during 2019-2020

The macroalgal blooms of floating brown algae Sargassum horneri are increasing in the Yellow Sea and East China Sea during the past few years. However, the annual pattern of Sargassum bloom is not well characterized. To study the developing pattern and explore the impacts from hydro-meteorologic environment, high resolution satellite imageries were used to monitor the distribution, coverage and drifting of the pelagic Sargassum rafts in the Yellow Sea and East China Sea from September 2019 to Au...     

基于GOCI的2017年南黄海浒苔演变遥感分析

本文应用GOCI高时间分辨率遥感影像,提取浒苔敏感波段并构建合适的评价指标,对NDVI、IGAG、KOSC绿潮主流算法探测能力进行比较,结合目视解译和阈值分割法,对2017年南黄海浒苔信息进行提取并进行演变特征分析。结果表明：NDVI算法的探测能力和稳定性显著优于其他两种,GOCI影像7、8近红外波段的选择对浒苔提取结果存在一定影响,最优为7、5波段组合;2017年浒苔总体经历了“出现-发展-暴发-衰退-消亡”五个阶段,持续时间约为68d,影像中浒苔最早出现在5月13日的盐城外海海域,最后出现在7月12日,最大覆盖面积出现在6月4日,为2363.12km²,在风、流场共同作用下,先向北移动,后在6月下旬沿山东半岛南侧转向东北,前锋位置最终停滞于青岛-烟台-威海一线并逐渐消亡。其发展规律与运移路径与往年相似,但持续时间与暴发时期最大覆盖面积显著少于往年,GOCI影像高时间分辨率的优势使浒苔灾害的逐小时动态监测成为可能。     

Development of atmospheric correction algorithm for Geostationary Ocean Color Imager (GOCI)

This paper describes an atmospheric correction algorithm for Geostationary Ocean Color Imager (GOCI) and its early phase evaluation. This algorithm was implemented in GOCI Data Processing System (GDPS) version 1.1. The algorithm is based on the standard SeaWiFS method, which accounts for multiple scattering effects and partially updated in terms of turbid case-2 water correction, optimized aerosol models, and solar angle correction per slot. For turbid water correction, we used a regional empirical relationship between water reflectance at the red (660 nm) and near infrared bands (745 nm and 865 nm). The relationship was derived from turbid pixels in satellite images after atmospheric correction, and processed using aerosol properties derived for neighboring non-turbid waters. For validation of the GOCI atmospheric correction, we compared our results with in situ measurements of normalized water leaving radiance (nL _w ) spectra that were obtained during several cruises in 2011 around Korean peninsula. The match up showed an acceptable result with mean ratio of the GOCI to in situ nL _w (??), 1.17, 1.24, 1.26, 1.15, 0.86 and 0.99 at 412 nm, 443 nm, 490 nm, 555 nm, 660 nm and 680 nm, respectively. It is speculated that part of the deviation arose from a lack of vicarious calibration and uncertainties in the above water nLw measurements.     

Population differentiation in the dominant species (Ulva prolifera) of green tide in coastal waters of China

Since 2015, green tides with Ulva prolifera as the dominant species in the Qinhuangdao coastal waters have continued to occur. In this study, the relationship between green tides in Qinhuangdao and the Yellow Sea (setting sites in Rudong and Qingdao) was evaluated by genetic analyses of U. prolifera. Single nucleotide polymorphism (SNP) markers were used to analyze genetic diversity and genetic relationships among groups. Genetic differentiation was lower among floating U. prolifera populations in Rudong and Qingdao than in Qinhuangdao. The floating U. prolifera population had higher genetic diversity and polymorphism levels in Qingdao and Rudong than in Qinhuangdao. Physiological experiments showed that the growth rate and net buoyancy of floating U. prolifera were highest in Qinhuangdao and Qingdao, respectively, under the same environmental conditions (temperature and light). Overall, these findings showed that U. prolifera populations in the Qinhuangdao and Yellow Sea green tides (Rudong and Qingdao) differ significantly at the molecular and physiological levels. Therefore, the Qinhuangdao green tide is not correlated with the Yellow Sea green tide and has a different origin and development mode. This study provides insight into the mechanism underlying green tide blooms in coastal waters of China.     

苏北浅滩养殖筏架附生绿藻入海过程在黄海绿潮形成中的作用

本研究采用现场定量观测为主的研究方法,在2017年5月期间对苏北浅滩竹根沙收紫菜养殖筏架作业过程进行跟踪调查;对养殖筏架绠绳附生绿藻自然脱落和收筏架作业过程人为刮落附生绿藻,以及收筏架作业前后入海的漂浮绿藻生物量进行定量观测。结果表明:筏架绳附生绿藻自然脱落率低,为3.58%±0.78%;收筏架作业过程中绠绳上刮落绿藻生物量为(12±3)kg湿重/根,由此估算2017年整个苏北浅滩刮落的生物量估算可达到万吨湿重;收筏架作业后海域漂浮绿藻生物量是作业前的7.6倍。研究结果进一步明确了收筏架作业过程中人为刮落绿藻是目前筏架附生绿藻最主要的入海方式。刮落绿藻是海水中漂浮绿藻的主要来源,其生物量对南黄海绿潮的规模大小有重要的影响。研究结果为绿潮防控措施的制定和实施提供科学依据。     

The mechanism of the banded structure of drifting macroalgae in the Yellow Sea

At the end of May 2008, a massive bloom of macroalgae occurred in the western Yellow Sea off China and lasted for nearly two months, and annual blooms have occurred since then on. During bloom period, the surfacedrifting macroalgae have showed an interesting pattern dominated by a banded structure, and the distance between neighboring bands ranged from hundreds of meters to about 6 km with a peak at 1–1.5 km, which is an order of higher than the scale of Langmuir circulation of 50–100 m. In order to explain this new phenomenon,ocean current data obtained from a Doppler current profiler off Qingdao was used to implement stability analysis.By numerically solving the resulting differential Orr-Sommerfeld equation, the secondary circulation induced from the instability of the Emkan current was found to fit well with the observed spatial scale of the surfacedrifting macroalgae's banded structure. As the wind driven Emkan current exist universally in the global ocean, it is reasonable to conclude that the banded structure with kilometers distance between adjoining bands is ubiquitous. We found a new circulation in the upper ocean which is important for exchange of energy, materials and gas between the upper ocean and subsurface layer.     

基于HJ-1A/1B的2014年黄海海域浒苔灾害时空分布

自2007年以来, 黄海海域每年的5月初～8月中下旬浒苔(Ulva prolifera)会周期性地暴发与消亡,导致海洋生态环境被破坏以及经济损失。利用2014 年的HJ-1A/1B遥感影像, 利用神经网络监督分类及RULE规则影像重分类动态阈值法, 对2014年的浒苔的漂移路径、各时期影响的海域面积、分布面积以及暴发高峰期的最大面积进行了动态监测。结果表明, 2014年浒苔持续时间为101 d, 5月中旬开始在江苏省盐城市近海出现零星斑点, 分布面积为2.299 km², 影响面积为1 744.799 km²; 6月初到6月中旬浒苔广泛分布于黄海海域, 分布面积扩大至1 367.145 km², 达到当年的峰值; 从6月下旬开始, 浒苔进入衰退期, 浒苔分布面积、相对聚集密度均急剧缩小, 但影响面积的峰值出现在该时期; 8月初消亡于青岛附近海岸, 8月20日遥感影像已难以监测到浒苔的存在。2014年黄海海域浒苔经过了“出现—发展—暴发—衰退—消亡”5个发展阶段。     

Biophysical control of intertidal benthic macroalgae revealed by high-frequency multispectral camera images

Intertidal benthic macroalgae are a biological quality indicator in estuaries and coasts. While remote sensing has been applied to quantify the spatial distribution of such macroalgae, it is generally not used for their monitoring. We examined the day-to-day and seasonal dynamics of macroalgal cover on a sandy intertidal flat using visible and near-infrared images from a time-lapse camera mounted on a tower. Benthic algae were identified using supervised, semi-supervised and unsupervised classification techniques, validated with monthly ground-truthing over one year. A supervised classification (based on maximum likelihood, using training areas identified in the field) performed best in discriminating between sediment, benthic diatom films and macroalgae, with highest spectral separability between macroalgae and diatoms in spring/summer. An automated unsupervised classification (based on the Normalised Differential Vegetation Index NDVI) allowed detection of daily changes in macroalgal coverage without the need for calibration. This method showed a bloom of macroalgae (filamentous green algae, Ulva sp.) in summer with > 60% cover, but with pronounced superimposed day-to-day variation in cover. Waves were a major factor in regulating macroalgal cover, but regrowth of the thalli after a summer storm was fast (2 weeks). Images and in situ data demonstrated that the protruding tubes of the polychaete Lanice conchilega facilitated both settlement (anchorage) and survival (resistance to waves) of the macroalgae. Thus, high-frequency, high resolution images revealed the mechanisms for regulating the dynamics in cover of the macroalgae and for their spatial structuring. Ramifications for the mode, timing, frequency and evaluation of monitoring macroalgae by field and remote sensing surveys are discussed.     

HY-1C卫星CZI载荷的黄海绿潮提取研究

海洋一号C（HY-1C）卫星是中国首颗海洋水色业务卫星,其搭载的海岸带成像仪（CZI）在近海海洋环境监测中正发挥越来越重要的作用;随着搭载有相同传感器的HY-1D卫星发射,双星组网观测,可形成3天2次的高频次、大范围对海观测能力,在海洋漂浮藻类、海洋溢油等目标探测方面具备优异的效能。高空间分辨率光学数据中包含了丰富的海洋环境信息,给特定目标的识别提取带来一定干扰。本研究面向HY-1C卫星CZI载荷开展中国近海漂浮藻类识别提取的业务化应用需求,发展基于藻类缩放指数与虚拟基线高度融合的海洋漂浮藻类识别提取算法,算法优选适用于无短波红外波段国产数据的虚拟基线高度指数来增强藻类信号,通过藻类缩放指数滑动窗口运算,有效剔除高空间分辨率光学数据中的复杂干扰信息,实现了基于CZI数据的海洋漂浮藻类高精度提取,且具有较好的计算运行效率。此外,结合准同步高分卫星16 m多光谱数据,开展CZI数据含藻像元的不确定性分析,发现CZI数据反演结果对近海小斑块漂浮藻类存在不可忽视的高估现象。研究还指出,光学数据用于漂浮藻类监测,其不确定性不仅来源于传感器的空间分辨率差异,还与海洋漂浮藻类形态特征的空间分异性有关。明晰海洋漂浮藻类的形态学空间分异特征,将有助于提高光学数据反演结果的精度,并阐明不确定性。     

<Emphasis Type="Italic">Cochlodinium polykrikoides</Emphasis> red tide detection in the South Sea of Korea using spectral classification of MODIS data

To distinguish true red tide water (particularly Cochlodinium polykrikoides blooms) from non-red tide water (false satellite high chlorophyll water) in the South Sea of Korea, we developed a systematic classification method using spectral information from MODIS level products and applied it to five different harmful algal bloom events. Red tide and nonred tide waters were classified based on four different criteria. The first step revealed that the radiance peaks of potential red tide water occurred at 555 and 678 nm. The second step separated optically different waters that were influenced by relatively low and high contributions of colored dissolved organic matter (CDOM) (including detritus) to chlorophyll. The third and fourth steps discriminated red tide water from non-red tide water based on the blue-to-green ratio in areas with lower and higher contributions of CDOM to chlorophyll, respectively. After applying the red tide classification (using the four criteria), the spectral response of the red tide water, which is influenced by pigment concentration, showed different slopes for the blue and green bands (lower slope at blue bands and higher slope at green bands). The opposite result was found for non-red tide water, due to decreasing phytoplankton absorption and increasing detritus/CDOM absorption at blue bands. The results were well matched with the discoloration of water (blue to dark red/brown) and delineated the areal coverage of C. polykrikoides blooms, revealing the nature of spatial and temporal variations in red tides. This simple spectral classification method led to increase user accuracy for C. polykrikoides and non-red tide blooms (>46% and >97%) and provided a more reliable and robust identification of red tides over a wide range of oceanic environments than was possible using chlorophyll a concentration, chlorophyll anomaly, fluorescence analysis, or proposed red tide detection algorithms.     

Macrophytobenthos of the Caspian Sea: Diversity,distribution, and productivity

In the Russian sector of the northern and middle Caspian Sea, 36 species of macroalgae have been identified. The green and red algae from the mesosaprobic group are dominant. An increase in the number of green algae species is revealed. The distribution of macroalgae is inhomogeneous. It is confined to the solid substrate and epiphyton. The biomass of seaweeds reaches 1.5 kg/m². Climate change has little influence on the appearance of new species in the northern Caspian Sea, but new invaders can appear in the Middle and Southern Caspian. The distribution of aquatic and coastal hygrophytic vegetation shows considerable spatial dynamics due to fluctuations in the level and salinity of the Caspian Sea. The biomass of aquatic vegetation varies in a wide range from 0.5 to 10.0 kg/m₂. Spatially detailed mathematical models adequately reflect the changes in key species of aquatic plants in space and time. It is shown that expansion of the zone of the seagrass Zostera noltii to shallow water areas is occurring at present, as well as shrinkage of the range of the dominant littoral aquatic plant Phragmites australis.     

黄海浒苔绿潮研究进展

绿潮是世界性的海洋生态环境问题。自2007年以来,浒苔绿潮已肆虐黄海近岸海域达10年之久,造成了巨大经济损失和严重社会影响,成为近年来我国海洋生态学研究的焦点之一。目前,国内外学者围绕黄海绿潮起源与发生原因已经开展了一系列的研究,取得了一定的科学认知。本文综述了关于黄海绿潮起源与发生过程、浒苔的关键生物学特征以及绿潮暴发的环境驱动机制等方面的主要研究进展,分析了目前绿潮发生机制研究中未解决的科学问题和绿潮减灾防灾技术上的不足,并提出了研究展望。同时,对近期启动的国家重点研发计划重点专项"浒苔绿潮形成机理与综合防控技术研究及应用"的研究内容与预期目标进行了简要介绍。     

Nodularin induces oxidative stress in the Baltic Sea brown alga Fucus vesiculosus (Phaeophyceae)

In the Baltic Sea regular, intensive cyanobacterial blooms rich in the cyanobacterium Nodularia spumigena occur during the summer season. N. spumigena is known to produce the cyclic pentapeptide nodularin (NOD) in high concentrations. Marine macroalgae, together with sea-grass meadows, are an extremely important habitat for life in the sea. In addition to this, the decaying macroalgae substantially contribute to the substrate for the microbial loop in coastal food webs. Uptake of nodularin into the brown macroalga Fucus vesiculosus was assessed using an ELISA technique resulting in an uptake of up to 45.1 microg kg(-1) fresh weight (fw). Nodularin was also detected in the reproductive part of the algae (receptacle) at 14.1 microg kg(-1) fw. The induction of oxidative stress in F. vesiculosus, after exposure to NOD, was also shown by monitoring cellular damage as changes in lipid peroxidation and the activation of antioxidative defence systems (antioxidative capacity, superoxide dismutase and soluble glutathione S-transferase).     

Tracing the settlement region of massive floating green algae in the Yellow Sea

Outbreaks of large-scale green tides formed by Ulva prolifera in the Yellow Sea (YS) cause heavy ecological damages and huge economic losses. However, the ecological consequences of green tides remain poorly understood due to the lack of knowledge on the settlement region of massive green algae floating in the YS. In this study, we established a method to trace the settlement region of floating green algae, using 28-isofucosterol preserved in sediment as the specific biomarker for green algae. Sterols including 28-isofucosterol in surface sediment samples collected during an investigation in the YS and the Bohai Sea (BS) in August 2015 were analyzed using gas chromatography coupled with a mass spectrometer (GC-MS). Based on the content of 28-isofucosterol in sediment samples, the potential settlement region of fl oating green algae was identifi ed in the sea area southeast to the Shandong Peninsula around the sampling site H06 (122.66°E, 36.00°N). This paper presents a first result on the settlement region of floating green algae in the YS for providing a solid basis to elucidate the ecological consequences of green tides in the area.     

基于哨兵2号卫星遥感影像的2018年苏北浅滩漂浮绿藻时空分布特征研究

黄海浒苔绿潮自2007年以来连年暴发,但对漂浮绿藻在其源地—苏北浅滩的分布、发生和发展过程仍缺乏精细刻画。本文主要采用哨兵2号卫星遥感影像,对2018年苏北浅滩的漂浮绿藻信息进行提取,结合地形、微波+红外融合海表温度和CCMP海面风场数据,分析了影响漂浮绿藻时空分布的重要环境因子。结果表明:漂浮绿藻于5月23日在苏北浅滩南部首次通过遥感影像被探测到,在6月逐渐向北发展扩大,在7月中旬消失。漂浮绿藻最早可追溯至浅滩中心紫菜养殖筏架区边缘,而后沿潮沟形成宽度为10～200 m、断续绵延数十千米的条带。在黄海绿潮发展过程中,浅滩持续向北及外海输送漂浮绿藻。在浅滩以北,漂浮绿藻的分布和漂移与海面风向一致。本研究结果可为黄海绿潮的早期预警和防控提供依据。     

Analysis of the spatial evolution of the 2003 algal bloom in the Voordelta (North Sea)

Phaeocystis blooms in the Southern Bight of the North Sea may cause damage to the aquatic ecosystem and to commercial mussel cultures at the entrance of the Oosterschelde estuary. In this paper the potential for early detection of Phaeocystis blooms in Dutch coastal waters is studied, using a combination of field data, satellite observations and hydrodynamic- and biological modelling. For the spring bloom period in the year 2003 MERIS chlorophyll-a maps, derived with the HYDROPT algorithm for coastal waters, were compared to in-situ measurements at stations off the coast in de Voordelta and the results of the GEM biogeochemical model.The analysis shows that the spatial and temporal variability in Phaeocystis abundance and total biomass (expressed by the Chl-a concentration) during spring is large. It is confirmed that blooms may develop off shore and show a tendency to accumulate within 10 km from the coastline, giving rise to rapid biomass accumulation at the mouth of the multiple estuaries in the Voordelta. Based on the outcome of this study an early warning system is proposed that notifies local water managers and shellfish growers for potentially harmful Phaeocystis bloom formation.     

Variability of suspended particulate matter in the Bohai Sea from the geostationary Ocean Color Imager (GOCI)

This study assesses the performance of the Geostationary Ocean Imager (GOCI) for mapping of suspended particulate matter in the Bohai Sea, a turbid water region. GOCI imagery for remote sensing reflectance and Total Suspended Solids (TSS) is analysed in detail for two days in June 2011 (8 images per day). Both instantaneous and daily composite maps are considered and a comparison is made with corresponding reflectance and TSS products from MODIS-AQUA. Results show TSS distributions corresponding to previous studies of the region. The advantage of the higher acquisition frequency (8 images/day instead of 1) offered by GOCI is clearly demonstrated in the daily composite which is more complete during this period of scattered but moving clouds. Consideration of temporal variation over the day indicates low natural variability but some artificial variability from processing errors ?? this analysis provides a first indication of how the higher frequency of data from geostationary ocean colour could lead to improved data quality control via temporal coherency outlier detection. While there is room for improvement on the GOCI calibration, atmospheric correction and retrieval algorithms, the current study suggests that the GOCI data can already be used now to study qualitatively sediment dynamics except in the extremely turbid waters which are masked out of the current dataset. In a wider context, it is considered that the technical challenges of geostationary ocean colour have been met by the GOCI concept, and, notwithstanding potential improvements on the concept and data processing methods, it is recommended that this mission serve as a model for future geostationary ocean colour sensors over Europe/Africa and the Americas.     

2017年春、夏季黄海35°N共发的绿潮、金潮和赤潮

于2017年4月至6月,沿南黄海35°N断面出现了罕见的绿潮、金潮和赤潮等有害藻华共发现象。本研究通过现场定时定速拖网等方法,对黄海35°N断面不同站位的大型漂浮藻类进行了定量观测,并对赤潮区浮游植物进行了显微镜观察。结果表明：沿35°N断面的漂浮绿藻和马尾藻生物量具有明显的时空变化特征,4月下旬漂浮绿藻和马尾藻开始零星出现,5月下旬生物量和分布范围明显增加,在6月上旬达到最大,随后在6月下旬降低。漂浮绿藻和马尾藻的分布区域存在差异,120°30''—122°30''E为两者共同分布海域,向西以漂浮绿藻为主,向东则以马尾藻为主。分别于5月下旬和6月下旬在黄海35°N断面发现了1次米氏凯伦藻（Karenia mikimotoi）赤潮和1次赤潮异弯藻（Heterosigma akashiwo）赤潮。基于现场获取的水文数据,本文对南黄海海域的环境条件及其对有害藻华分布的影响进行了讨论。沿35°N断面共发的绿潮、金潮和赤潮现象表明黄海海域正面临严峻的海洋生态问题,通过对该海域赤潮、金潮和绿潮的长期观测,可望揭示这些藻华灾害形成机制和演变规律,为针对性地开展有害藻华预报、预警和防控提供科学依据。     

黄海浒苔绿潮防灾减灾现状与早期防控展望

截至2019年,浒苔绿潮连续12年大规模暴发,对近海生态系统、沿岸环境与社会经济造成严重影响,已经成为黄海最严重的生态环境问题。本文总结了黄海浒苔绿潮防灾减灾现状与成效,分析了存在的问题,然后基于对该绿潮起源与成因的认识,将其早期分为3个关键过程,即浒苔微观繁殖体在养殖设施上的着生与生长过程,定生浒苔脱离附着基形成漂浮浒苔过程,浅滩漂浮浒苔进入深水区形成大面积绿潮过程。最后分别从加强新材料与技术研发防控绿藻着生、强化养殖设施回收管理严控定生绿藻落滩、浅滩汇聚通道拦截打捞等3种途径提出了早期防控措施建议,以期为黄海浒苔绿潮的源头防控提供科学依据。     

Distribution of macroalgae and seaweed in the Azov Sea,Kerch Strait,and Taman Bay

The analysis of the macroalgae distribution along the salinity gradient in the Azov Sea, the Kerch strait, and Taman Bay during the summer allowed finding two macroalgae complexes. The first complex (brackish) is formed by algae belonging to the Enteromorpha, Cladophora, Rhizoclonium, and Chaetomorpha genera in the Taganrog Gulf. The second complex (marine) with dominating algae belonging to the Enteromorpha, Chaetomorpha, Ceramium, and Polysiphonia inhabits the littoral part of the Azov Sea itself, the Kerch Strait, and Taman Bay. The saprobe analysis of the flora showed that the majority of macroalgae species inhabiting the Azov Sea are represented by meso- and polysaprobes and a small number of oligosaprobe species inhabit the Kerch Strait. The biggest species diversity of macroalgae was noted in the southwestern part of the sea; the value of Shannon’s index was 0.65 in the Taganrog Gulf, 1.04 in the Azov Sea, 1.38 in Taman Bay. The leading role in the littoral communities of Taganrog Gulf belongs to aquatic flowering plants with Potamogeton perfoliatus being dominant; as the salinity increases, the share of such species as P. pectinatus, Zostera marina, Z. noltii, Ruppia maritime, and Zannichellia major starts to increase.