Abstract：
:Wind-driven coastal upwelling along the Pacific Northwest Coast of the USA results in oceanic water that may be periodically entrained into adjacent estuaries and which possesses high nutrients and low dissolved oxygen (DO). Measurement of water quality indicators during these upwelling water entrainment events would represent extreme values for water quality thresholds derived from typical estuarine conditions. Tools are therefore needed to distinguish upwelled waters from other causes of exceedances of water quality thresholds within estuaries of the region. We present an example application of logistic regression models to predict the probability of exceedance of a water quality threshold, using DO data from the Yaquina estuary, Oregon, USA. Models including water temperature and salinity correctly classified exceedances of DO about 80 % of the time. Inclusion of in situ fluorescence in the logistic regression model for DO improved the model performance and reduced the rate of false positives.
journal_name
Environ Monit Assessjournal_title
Environmental monitoring and assessmentauthors
Brown CA,Nelson WGdoi
10.1007/s10661-015-4347-3subject
Has Abstractpub_date
2015-03-01 00:00:00pages
133issue
3eissn
0167-6369issn
1573-2959journal_volume
187pub_type
杂志文章abstract：:Mangrove sediments are strong modulators of organic matter (OM) content and pollutant dynamics, acting both as sinks and sources of these components. This study aimed to assess temporal dynamics of OM within temperate mangrove sediments and their ability to sequester pollutants. Specifically, levels of trace metals (F...
journal_title：Environmental monitoring and assessment
pub_type： 杂志文章
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journal_title：Environmental monitoring and assessment
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journal_title：Environmental monitoring and assessment
pub_type： 杂志文章
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journal_title：Environmental monitoring and assessment
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journal_title：Environmental monitoring and assessment
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journal_title：Environmental monitoring and assessment
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journal_title：Environmental monitoring and assessment
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journal_title：Environmental monitoring and assessment
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更新日期：2005-12-01 00:00:00
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journal_title：Environmental monitoring and assessment
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journal_title：Environmental monitoring and assessment
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更新日期：2005-09-01 00:00:00
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journal_title：Environmental monitoring and assessment
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journal_title：Environmental monitoring and assessment
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