气候变化领域集成服务门户(CCPortal): Determination of river water composition trends with uncertainty: Seasonal variation of nutrients concentration in Tagus river estuary in the dry 2017 year

CCPortal

DOI	10.1016/j.marpolbul.2020.111371
	Determination of river water composition trends with uncertainty: Seasonal variation of nutrients concentration in Tagus river estuary in the dry 2017 year
	Borges C.; Bettencourt da Silva R.J.N.; Palma C.
发表日期	2020
ISSN	0025326X
卷号	158
英文摘要	The assessment of long-term trends in river water composition is hampered by river composition heterogeneity, and sampling and sample analysis uncertainty. This work describes a novel methodology for the reliable detection of small river composition trends by taking all relevant uncertainty components into account. The methodology was applied to study the variation of nutrients concentration of Tagus river estuary in the extremely dry 2017 year. Mean nutrient concentrations were determined with an uncertainty that combines sampling and sample analysis uncertainty by the Monte Carlo Method. The nutrient concentration variation observed in two occasions is meaningful if the difference of mean concentrations is metrologically different from zero for a 95% confidence level. The observed meaningful NO2 increase, and SiO2 and NOx variations is justified by dissolved oxygen reduction, decreased freshwater input and algal productivity variations. The developed tool can be applied to the assessment of other composition trends in rivers. © 2020 Elsevier Ltd
英文关键词	Composition trends; Dissolved nutrients; Measurement uncertainty; Seasonal variability; Tagus river
语种	英语
scopus关键词	Dissolved oxygen; Electrolytic reduction; Monte Carlo methods; Nitrogen oxides; Nutrients; Rivers; Silica; Algal productivity; Dissolved oxygen reductions; Freshwater inputs; Mean concentrations; Nutrient concentrations; Nutrients concentrations; Reliable detection; Seasonal variation; Uncertainty analysis; dissolved oxygen; nitric oxide; nitrite; nitrogen dioxide; phosphate; river water; silicon dioxide; algal bloom; concentration (composition); dissolved oxygen; dry season; estuarine pollution; Monte Carlo analysis; nutrient; river water; seasonal variation; trend analysis; uncertainty analysis; water chemistry; Article; chemical composition; concentration (parameter); controlled study; environmental temperature; estuary; limit of detection; limit of quantitation; Monte Carlo method; nutrient concentration; Portugal; precipitation; river; seasonal variation; trend study; uncertainty; water analysis; water sampling; environmental monitoring; estuary; season; uncertainty; water pollutant; Lisboa [Portugal]; Portugal; Tagus Estuary; algae; Environmental Monitoring; Estuaries; Nutrients; Rivers; Seasons; Silicon Dioxide; Uncertainty; Water Pollutants, Chemical
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/148772
作者单位	Instituto Hidrográfico, Portugal; Centro de Química Estrutural – Faculdade de Ciências da Universidade de Lisboa, Portugal
推荐引用方式 GB/T 7714	Borges C.,Bettencourt da Silva R.J.N.,Palma C.. Determination of river water composition trends with uncertainty: Seasonal variation of nutrients concentration in Tagus river estuary in the dry 2017 year[J],2020,158.
APA	Borges C.,Bettencourt da Silva R.J.N.,&Palma C..(2020).Determination of river water composition trends with uncertainty: Seasonal variation of nutrients concentration in Tagus river estuary in the dry 2017 year.Marine Pollution Bulletin,158.
MLA	Borges C.,et al."Determination of river water composition trends with uncertainty: Seasonal variation of nutrients concentration in Tagus river estuary in the dry 2017 year".Marine Pollution Bulletin 158(2020).