Abstract:
: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.
journal_name
Mar Pollut Bulljournal_title
Marine pollution bulletinauthors
Borges C,Bettencourt da Silva RJN,Palma Cdoi
10.1016/j.marpolbul.2020.111371subject
Has Abstractpub_date
2020-09-01 00:00:00pages
111371eissn
0025-326Xissn
1879-3363pii
S0025-326X(20)30489-6journal_volume
158pub_type
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journal_title:Marine pollution bulletin
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journal_title:Marine pollution bulletin
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journal_title:Marine pollution bulletin
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journal_title:Marine pollution bulletin
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journal_title:Marine pollution bulletin
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journal_title:Marine pollution bulletin
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pub_type: 杂志文章,评审
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journal_title:Marine pollution bulletin
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journal_title:Marine pollution bulletin
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journal_title:Marine pollution bulletin
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