气候变化领域集成服务门户(CCPortal): Hydro-biogeochemical modeling of the early-stage outbreak of green tide (Ulva prolifera) driven by land-based nutrient loads in the Jiangsu coast

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DOI	10.1016/j.marpolbul.2020.111028
	Hydro-biogeochemical modeling of the early-stage outbreak of green tide (Ulva prolifera) driven by land-based nutrient loads in the Jiangsu coast
	Chen Y.; Song D.; Li K.; Gu L.; Wei A.; Wang X.
发表日期	2020
ISSN	0025326X
卷号	153
英文摘要	The outbreak of a large-scale green tide (Ulva prolifera) will have a serious impact on marine environment, ecological functions, landscape, and coastal social economy. Eutrophication is generally considered to be the most important driving factor of this phenomenon. It is difficult to obtain the pressure-impact relationship between land-based loading and green tides by only surveying or monitoring, whereas modeling can perform this task easily. In this study, therefore, a hydro-biogeochemical model was established and verified by the measured hydrodynamic and water quality variables. In the initial outbreak area of Jiangsu coast, China, we studied the relationship between U. prolifera bloom and the driving factors of nutrient loads and structures by modeling different scenarios of land source inputs. It was found that the ratio of nitrogen to phosphorus could be affected significantly, which triggered the bloom of U. prolifera. When the land-based input doubled or halved, the dissolved inorganic nitrogen concentration increased 20.6% or decreased 9.5%, respectively, which might result in 14.5% increase or 46.3% decrease in the green tide, respectively. It was also found that the nutrient distribution and structure was affected by the land-based load, which caused the outbreak of U. prolifera. Moreover, the total nutrient load must be controlled to prevent the outbreak of green tide in the Jiangsu coast. © 2020 Elsevier Ltd
英文关键词	Biomass; Hydro-biogeochemical model; Jiangsu coast; Nutrient; Ulva prolifera
语种	英语
scopus关键词	Biogeochemistry; Biomass; Blooms (metal); Eutrophication; Nitrogen; Water quality; Biogeochemical modeling; Dissolved inorganic nitrogens; Ecological functions; Marine environment; Nutrient distributions; Pressure-impact relationships; Ulva prolifera; Water quality variables; Nutrients; nitrogen; phosphorus; algal bloom; biogeochemistry; biomass; green alga; marine pollution; nutrient dynamics; source apportionment; water quality; algal bloom; Article; biogeochemistry; chemical model; China; concentration (parameter); environmental impact; hydrodynamics; land use; nitrogen concentration; nonhuman; nutrient dynamics; nutrient loading; seashore; Ulva; Ulva prolifera; water quality; eutrophication; water pollution; China; Jiangsu; Ulva prolifera; China; Eutrophication; Nutrients; Ulva; Water Pollution
来源期刊	Marine Pollution Bulletin
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/149090
作者单位	Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education, College of Chemistry and Chemical Engineering, Ocean University of China, Qingdao, 266100, China; Key Laboratory of Physical Oceanography, Ministry of Education, Ocean University of China and Qingdao National Laboratory for Marine Science and Technology, Qingdao, 266100, China; Jiangsu Environmental Monitoring center, Nanjing, 210000, China
推荐引用方式 GB/T 7714	Chen Y.,Song D.,Li K.,et al. Hydro-biogeochemical modeling of the early-stage outbreak of green tide (Ulva prolifera) driven by land-based nutrient loads in the Jiangsu coast[J],2020,153.
APA	Chen Y.,Song D.,Li K.,Gu L.,Wei A.,&Wang X..(2020).Hydro-biogeochemical modeling of the early-stage outbreak of green tide (Ulva prolifera) driven by land-based nutrient loads in the Jiangsu coast.Marine Pollution Bulletin,153.
MLA	Chen Y.,et al."Hydro-biogeochemical modeling of the early-stage outbreak of green tide (Ulva prolifera) driven by land-based nutrient loads in the Jiangsu coast".Marine Pollution Bulletin 153(2020).