Results 21 to 30 of about 20,695 (156)

Molecular identification and nutritional analysis of green tide algae in the coastal waters of Qinhuangdao, China

open access: yesFrontiers in Marine Science, 2023
Since 2015, the coastal waters of Qinhuangdao in Hebei province, China have experienced green tide disasters for consecutive years. Resource utilization is an important measure for preventing and controlling green tides.
Yan Li   +10 more
doaj   +1 more source

Large-Scale Water Quality Prediction Using Federated Sensing and Learning: A Case Study with Real-World Sensing Big-Data

open access: yesSensors, 2021
Green tide, which is a serious water pollution problem, is caused by the complex relationships of various factors, such as flow rate, several water quality indicators, and weather.
Soohyun Park   +4 more
doaj   +1 more source

SRSe-Net: Super-Resolution-Based Semantic Segmentation Network for Green Tide Extraction

open access: yesRemote Sensing, 2022
Due to the phenomenon of mixed pixels in low-resolution remote sensing images, the green tide spectral features with low Enteromorpha coverage are not obvious.
Binge Cui   +4 more
doaj   +1 more source

The Lagrangian-based Floating Macroalgal Growth and Drift Model (FMGDM v1.0): application to the Yellow Sea green tide [PDF]

open access: yesGeoscientific Model Development, 2021
Massive floating macroalgal blooms in the ocean result in many ecological consequences. Tracking their drifting pattern and predicting their biomass are essential for effective marine management.
F. Zhou   +8 more
doaj   +1 more source

Distribution and Identification of Ulva aragoensis (Ulvaceae, Chlorophyta), a Constituent Species of Green Tides in the Southern Yellow Sea, Based on Molecular Data

open access: yesJournal of Marine Science and Engineering, 2022
Green tides are a serious global ecological disaster; the largest occur in the Southern Yellow Sea (SYS). Early-stage green tides in the SYS are composed of four species (Ulva prolifera, Ulva flexuosa, Ulva linza, and Ulva compressa).
Yichao Tong   +9 more
doaj   +1 more source

Monitoring and Forecasting Green Tide in the Yellow Sea Using Satellite Imagery

open access: yesRemote Sensing, 2023
This paper proposes a semi-automatic green tide extraction method based on the NDVI to extract Yellow Sea green tides from 2008 to 2022 using remote sensing (RS) images from multiple satellites: GF-1, Landsat 5 TM, Landsat 8 OLI_TIRS, HJ-1A/B, HY-1C, and
Shuwen Xu   +6 more
doaj   +1 more source

Impacts of green tides on estuarine fish assemblages [PDF]

open access: yesEstuarine, Coastal and Shelf Science, 2018
Abstract All around the world, an increasing proportion of estuarine systems are facing massive proliferations of green macroalgae, called green tides, in response to nutrient enrichment. The consequences of this perturbation for ichthyofauna that use estuarine systems as essential fish habitats remain understudied. To estimate these consequences, we
Paumier, Alexis   +6 more
openaire   +3 more sources

Green tides select for fast expanding Ulva strains

open access: yesScience of The Total Environment, 2020
Green tides, the phenomenon whereby large volume of marine environment is taken over by the sea lettuce Ulva spp, are a seasonal occurrence thought to be caused mainly by anthropogenic eutrophication. The aggravation of green tide occurrence since the 1970s could however be due to the amplification of fast-growing strains within these areas.
Fort, Antoine   +3 more
openaire   +2 more sources

Assessment and Characterisation of Ireland's Green Tides (Ulva Species)

open access: yesPLOS ONE, 2017
Enrichment of nutrients and metals in seawater associated with anthropogenic activities can threaten aquatic ecosystems. Consequently, nutrient and metal concentrations are parameters used to define water quality. The European Union's Water Framework Directive (WFD) goes further than a contaminant-based approach and utilises indices to assess the ...
Alex H. L. Wan   +5 more
openaire   +7 more sources

Characterization of complete chloroplast genome of Ulva torta (Mertens) Trevisan, 1841

open access: yesMitochondrial DNA. Part B. Resources, 2022
Ulva torta (Mertens) Trevisan, 1841 was a global temperate widespread species. Green tide blooms caused by the green algae of the Ulva species occurred frequently in China.
Qinlin Wen   +7 more
doaj   +1 more source

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