Research on the dissipation of green tide and its influencing factors in the Yellow Sea based on Google Earth Engine DOI
Dongxue Li, Zhiqiang Gao, Fuxiang Xu

и другие.

Marine Pollution Bulletin, Год журнала: 2021, Номер 172, С. 112801 - 112801

Опубликована: Авг. 9, 2021

Язык: Английский

Marine harmful algal blooms, human health and wellbeing: challenges and opportunities in the 21st century DOI Open Access
Elisa Berdalet, Lora E. Fleming, Keith Davidson

и другие.

Journal of the Marine Biological Association of the United Kingdom, Год журнала: 2015, Номер 96(1), С. 61 - 91

Опубликована: Ноя. 20, 2015

Microalgal blooms are a natural part of the seasonal cycle photosynthetic organisms in marine ecosystems. They key components structure and dynamics oceans thus sustain benefits that humans obtain from these aquatic environments. However, some microalgal can cause harm to other organisms. These harmful algal (HABs) have direct impacts on human health negative influences wellbeing, mainly through their consequences coastal ecosystem services (fisheries, tourism recreation) HABs phenomena, but events be favoured by anthropogenic pressures areas. Global warming associated changes could affect HAB occurrences toxicity as well, although forecasting possible trends is still speculative requires intensive multidisciplinary research. At beginning 21st century, with expanding populations, particularly developing countries, mitigating wellbeing becoming more pressing public need. The available tools address this global challenge include maintaining intensive, collaborative scientific research, strengthening coordination stakeholders, policymakers general public. Here we provide an overview different aspects important element intrinsic links between wellbeing.

Язык: Английский

Процитировано

457

Ulva prolifera green-tide outbreaks and their environmental impact in the Yellow Sea, China DOI Creative Commons
Yongyu Zhang, Peimin He, Hongmei Li

и другие.

National Science Review, Год журнала: 2019, Номер 6(4), С. 825 - 838

Опубликована: Март 18, 2019

The

Язык: Английский

Процитировано

212

Toxic effects, mechanisms, and ecological impacts of harmful algal blooms in China DOI

Tian Yan,

Xiaodong Li, Zhijun Tan

и другие.

Harmful Algae, Год журнала: 2021, Номер 111, С. 102148 - 102148

Опубликована: Дек. 4, 2021

Язык: Английский

Процитировано

86

Harmful macroalgal blooms (HMBs) in China's coastal water: Green and golden tides DOI

Jie Xiao,

Zongling Wang, Dongyan Liu

и другие.

Harmful Algae, Год журнала: 2021, Номер 107, С. 102061 - 102061

Опубликована: Июнь 13, 2021

Язык: Английский

Процитировано

84

Nutrient-rich submarine groundwater discharge fuels the largest green tide in the world DOI
Shibin Zhao, Bochao Xu,

Qinzhen Yao

и другие.

The Science of The Total Environment, Год журнала: 2021, Номер 770, С. 144845 - 144845

Опубликована: Янв. 21, 2021

Язык: Английский

Процитировано

62

Prevention strategies for green tides at source in the Southern Yellow Sea DOI
Yuqing Sun, Lulu Yao, Jinlin Liu

и другие.

Marine Pollution Bulletin, Год журнала: 2022, Номер 178, С. 113646 - 113646

Опубликована: Апрель 12, 2022

Язык: Английский

Процитировано

53

Recent Developments in Artificial Intelligence in Oceanography DOI Creative Commons
Changming Dong, Guangjun Xu, Guoqing Han

и другие.

Ocean-Land-Atmosphere Research, Год журнала: 2022, Номер 2022

Опубликована: Янв. 1, 2022

With the availability of petabytes oceanographic observations and numerical model simulations, artificial intelligence (AI) tools are being increasingly leveraged in a variety applications. In this paper, these applications reviewed from perspectives identifying, forecasting, parameterizing ocean phenomena. Specifically, usage AI algorithms for identification mesoscale eddies, internal waves, oil spills, sea ice, marine algae discussed paper. Additionally, AI-based forecasting surface El Niño Southern Oscillation, storm surges is discussed. This followed by discussion on schemes to parameterize oceanic turbulence atmospheric moist physics. Moreover, physics-informed deep learning neural networks within an context, further with digital twins physics-constrained described. review meant introduce beginners experts sciences methodologies stimulate future research toward causality-adherent Fourier oceanography.

Язык: Английский

Процитировано

53

Research development on resource utilization of green tide algae from the Southern Yellow Sea DOI Creative Commons
Yuqing Sun, Jinlin Liu, Jing Xia

и другие.

Energy Reports, Год журнала: 2022, Номер 8, С. 295 - 303

Опубликована: Фев. 3, 2022

Since 2007, the Yellow Sea has undergone a large-scale outbreak of green tide for 15 years. The large biomass caused great economic losses to Shandong and Jiangsu Province. monitoring data in recent years indicated that dominant algae Southern (SYS) was special ecological type Ulva species (Ulva prolifera). In order make rational use avoid waste biological resources, achievements research technical development on resource utilization were systematically introduced. Moreover, U. prolifera, such as food, beauty products, feed or additives, fertilizer, energy papermaking engineering, summarized. addition, solutions reduce by also proposed.

Язык: Английский

Процитировано

42

Upwelling of cold water in the South Yellow Sea alleviates phosphorus and silicon limitations DOI Open Access
Xiaona Chen,

Tiezhu Mi,

Zhigang Yu

и другие.

Limnology and Oceanography, Год журнала: 2025, Номер unknown

Опубликована: Янв. 17, 2025

Abstract Upwelling in the South Yellow Sea is a phenomenon that plays an important role nutrient transport and biological productivity. Based on remote sensing data from 2000 to 2022 situ observations 2012 2022, we investigated interannual variability of cold‐water mass frontal upwelling its contribution nutrients Sea. The results showed positions during summer were consistent with fronts masses. influence distribution varied interannually, El Niño‐Southern Oscillation winter might intensity by modulating winds. Nutrient fluxes via estimated: 0.08 × 10 8 –25.9 mol month −1 dissolved inorganic nitrogen, 0.003 –0.67 phosphate, 0.12 –40.8 silicate. comparable inputs Changjiang River. nitrogen/dissolved phosphate ratio decreased 38.6 20.0 silicate/dissolved nitrogen increased 0.93 2.48 2022. composition carried can alleviate limitations both phosphorus silicon zone Cold Water Mass could promote local phytoplankton growth contribute development Ulva prolifera .

Язык: Английский

Процитировано

1

Submarine groundwater discharge and associated nutrient fluxes into the Southern Yellow Sea: A case study for semi‐enclosed and oligotrophic seas‐implication for green tide bloom DOI Open Access
Jianan Liu, Ni Su, Xilong Wang

и другие.

Journal of Geophysical Research Oceans, Год журнала: 2016, Номер 122(1), С. 139 - 152

Опубликована: Дек. 17, 2016

Abstract The biogenic elements concentrations in a coastal bay/estuary are strongly influenced not only by riverine input but also submarine groundwater discharge (SGD) which has been identified as typical process of land/ocean interactions zones. To assess the role SGD nutrient fluxes Southern Yellow Sea (SYS), 228 Ra activities were measured seawater collected May 2014. Analyzing sources and sinks Ra, flux excess through was estimated to be (2.2 ± 1.0) ×10 15 dpm yr −1 . Based on mass balance model, we average approximately (1.3 0.87) 12 m 3 over entire SYS, is at least 3.3 times annual delivery from Changjiang River into SYS (∼1.3 × 10 11 ). SGD‐derived loads (dissolved inorganic nitrogen (DIN), phosphorus (DIP) silicon (DSi)) (487 384) 9 mol , (2.8 2.2) (313 259) respectively, 18 times, 7 13 both mainland China Korea. accumulation derived may play one most important roles green tide bloom that originated Subei Shoal zone SYS. Additionally, DIN DIP via can provide necessary amounts for recovering normal levels after terminated.

Язык: Английский

Процитировано

84