Evaluation of sampling strategies to characterize dissolved oxygen conditions in northern Gulf of Mexico estuaries
Abstract Dissolved oxygen was continuously monitored in eight sites of northern Gulf of Mexico estuaries in August, 1990. Monte Carlo analyses on subsamples of the data were used to evaluate several commonly used monitoring strategies. Monitoring strategies which involve single point sampling of dis...
Ausführliche Beschreibung
Autor*in: |
Summers, J. Kevin [verfasserIn] |
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Format: |
Artikel |
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Sprache: |
Englisch |
Erschienen: |
1993 |
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Schlagwörter: |
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Anmerkung: |
© Kluwer Academic Publishers 1993 |
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Übergeordnetes Werk: |
Enthalten in: Environmental monitoring and assessment - Kluwer Academic Publishers, 1981, 24(1993), 3 vom: Feb., Seite 219-229 |
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Übergeordnetes Werk: |
volume:24 ; year:1993 ; number:3 ; month:02 ; pages:219-229 |
Links: |
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DOI / URN: |
10.1007/BF00545979 |
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Katalog-ID: |
OLC2073699073 |
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520 | |a Abstract Dissolved oxygen was continuously monitored in eight sites of northern Gulf of Mexico estuaries in August, 1990. Monte Carlo analyses on subsamples of the data were used to evaluate several commonly used monitoring strategies. Monitoring strategies which involve single point sampling of dissolved oxygen may often misclassify an estuary as having good water quality. In the case of shallow, often well-mixed estuaries that experience diurnal cycles, such monitoring often does not occur at night, during the time of lowest dissolved oxygen concentration. Our objective was to determine the minimum sampling effort required to correctly classify a site in terms of the observed frequency of hypoxia. Tests concluded that the most successful classification strategy used the minimum dissolved oxygen concentration from a continuously sampled 24-hour period. | ||
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10.1007/BF00545979 doi (DE-627)OLC2073699073 (DE-He213)BF00545979-p DE-627 ger DE-627 rakwb eng 333.7 VZ Summers, J. Kevin verfasserin aut Evaluation of sampling strategies to characterize dissolved oxygen conditions in northern Gulf of Mexico estuaries 1993 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Kluwer Academic Publishers 1993 Abstract Dissolved oxygen was continuously monitored in eight sites of northern Gulf of Mexico estuaries in August, 1990. Monte Carlo analyses on subsamples of the data were used to evaluate several commonly used monitoring strategies. Monitoring strategies which involve single point sampling of dissolved oxygen may often misclassify an estuary as having good water quality. In the case of shallow, often well-mixed estuaries that experience diurnal cycles, such monitoring often does not occur at night, during the time of lowest dissolved oxygen concentration. Our objective was to determine the minimum sampling effort required to correctly classify a site in terms of the observed frequency of hypoxia. Tests concluded that the most successful classification strategy used the minimum dissolved oxygen concentration from a continuously sampled 24-hour period. Water Quality Dissolve Oxygen Sampling Strategy Classification Strategy Diurnal Cycle Engle, Virginia D. aut Enthalten in Environmental monitoring and assessment Kluwer Academic Publishers, 1981 24(1993), 3 vom: Feb., Seite 219-229 (DE-627)130549649 (DE-600)782621-7 (DE-576)476125413 0167-6369 nnns volume:24 year:1993 number:3 month:02 pages:219-229 https://doi.org/10.1007/BF00545979 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-FOR SSG-OLC-IBL GBV_ILN_22 GBV_ILN_70 GBV_ILN_4012 GBV_ILN_4193 GBV_ILN_4219 AR 24 1993 3 02 219-229 |
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10.1007/BF00545979 doi (DE-627)OLC2073699073 (DE-He213)BF00545979-p DE-627 ger DE-627 rakwb eng 333.7 VZ Summers, J. Kevin verfasserin aut Evaluation of sampling strategies to characterize dissolved oxygen conditions in northern Gulf of Mexico estuaries 1993 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Kluwer Academic Publishers 1993 Abstract Dissolved oxygen was continuously monitored in eight sites of northern Gulf of Mexico estuaries in August, 1990. Monte Carlo analyses on subsamples of the data were used to evaluate several commonly used monitoring strategies. Monitoring strategies which involve single point sampling of dissolved oxygen may often misclassify an estuary as having good water quality. In the case of shallow, often well-mixed estuaries that experience diurnal cycles, such monitoring often does not occur at night, during the time of lowest dissolved oxygen concentration. Our objective was to determine the minimum sampling effort required to correctly classify a site in terms of the observed frequency of hypoxia. Tests concluded that the most successful classification strategy used the minimum dissolved oxygen concentration from a continuously sampled 24-hour period. Water Quality Dissolve Oxygen Sampling Strategy Classification Strategy Diurnal Cycle Engle, Virginia D. aut Enthalten in Environmental monitoring and assessment Kluwer Academic Publishers, 1981 24(1993), 3 vom: Feb., Seite 219-229 (DE-627)130549649 (DE-600)782621-7 (DE-576)476125413 0167-6369 nnns volume:24 year:1993 number:3 month:02 pages:219-229 https://doi.org/10.1007/BF00545979 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-FOR SSG-OLC-IBL GBV_ILN_22 GBV_ILN_70 GBV_ILN_4012 GBV_ILN_4193 GBV_ILN_4219 AR 24 1993 3 02 219-229 |
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10.1007/BF00545979 doi (DE-627)OLC2073699073 (DE-He213)BF00545979-p DE-627 ger DE-627 rakwb eng 333.7 VZ Summers, J. Kevin verfasserin aut Evaluation of sampling strategies to characterize dissolved oxygen conditions in northern Gulf of Mexico estuaries 1993 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Kluwer Academic Publishers 1993 Abstract Dissolved oxygen was continuously monitored in eight sites of northern Gulf of Mexico estuaries in August, 1990. Monte Carlo analyses on subsamples of the data were used to evaluate several commonly used monitoring strategies. Monitoring strategies which involve single point sampling of dissolved oxygen may often misclassify an estuary as having good water quality. In the case of shallow, often well-mixed estuaries that experience diurnal cycles, such monitoring often does not occur at night, during the time of lowest dissolved oxygen concentration. Our objective was to determine the minimum sampling effort required to correctly classify a site in terms of the observed frequency of hypoxia. Tests concluded that the most successful classification strategy used the minimum dissolved oxygen concentration from a continuously sampled 24-hour period. Water Quality Dissolve Oxygen Sampling Strategy Classification Strategy Diurnal Cycle Engle, Virginia D. aut Enthalten in Environmental monitoring and assessment Kluwer Academic Publishers, 1981 24(1993), 3 vom: Feb., Seite 219-229 (DE-627)130549649 (DE-600)782621-7 (DE-576)476125413 0167-6369 nnns volume:24 year:1993 number:3 month:02 pages:219-229 https://doi.org/10.1007/BF00545979 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-FOR SSG-OLC-IBL GBV_ILN_22 GBV_ILN_70 GBV_ILN_4012 GBV_ILN_4193 GBV_ILN_4219 AR 24 1993 3 02 219-229 |
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10.1007/BF00545979 doi (DE-627)OLC2073699073 (DE-He213)BF00545979-p DE-627 ger DE-627 rakwb eng 333.7 VZ Summers, J. Kevin verfasserin aut Evaluation of sampling strategies to characterize dissolved oxygen conditions in northern Gulf of Mexico estuaries 1993 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Kluwer Academic Publishers 1993 Abstract Dissolved oxygen was continuously monitored in eight sites of northern Gulf of Mexico estuaries in August, 1990. Monte Carlo analyses on subsamples of the data were used to evaluate several commonly used monitoring strategies. Monitoring strategies which involve single point sampling of dissolved oxygen may often misclassify an estuary as having good water quality. In the case of shallow, often well-mixed estuaries that experience diurnal cycles, such monitoring often does not occur at night, during the time of lowest dissolved oxygen concentration. Our objective was to determine the minimum sampling effort required to correctly classify a site in terms of the observed frequency of hypoxia. Tests concluded that the most successful classification strategy used the minimum dissolved oxygen concentration from a continuously sampled 24-hour period. Water Quality Dissolve Oxygen Sampling Strategy Classification Strategy Diurnal Cycle Engle, Virginia D. aut Enthalten in Environmental monitoring and assessment Kluwer Academic Publishers, 1981 24(1993), 3 vom: Feb., Seite 219-229 (DE-627)130549649 (DE-600)782621-7 (DE-576)476125413 0167-6369 nnns volume:24 year:1993 number:3 month:02 pages:219-229 https://doi.org/10.1007/BF00545979 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-UMW SSG-OLC-FOR SSG-OLC-IBL GBV_ILN_22 GBV_ILN_70 GBV_ILN_4012 GBV_ILN_4193 GBV_ILN_4219 AR 24 1993 3 02 219-229 |
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Abstract Dissolved oxygen was continuously monitored in eight sites of northern Gulf of Mexico estuaries in August, 1990. Monte Carlo analyses on subsamples of the data were used to evaluate several commonly used monitoring strategies. Monitoring strategies which involve single point sampling of dissolved oxygen may often misclassify an estuary as having good water quality. In the case of shallow, often well-mixed estuaries that experience diurnal cycles, such monitoring often does not occur at night, during the time of lowest dissolved oxygen concentration. Our objective was to determine the minimum sampling effort required to correctly classify a site in terms of the observed frequency of hypoxia. Tests concluded that the most successful classification strategy used the minimum dissolved oxygen concentration from a continuously sampled 24-hour period. © Kluwer Academic Publishers 1993 |
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Abstract Dissolved oxygen was continuously monitored in eight sites of northern Gulf of Mexico estuaries in August, 1990. Monte Carlo analyses on subsamples of the data were used to evaluate several commonly used monitoring strategies. Monitoring strategies which involve single point sampling of dissolved oxygen may often misclassify an estuary as having good water quality. In the case of shallow, often well-mixed estuaries that experience diurnal cycles, such monitoring often does not occur at night, during the time of lowest dissolved oxygen concentration. Our objective was to determine the minimum sampling effort required to correctly classify a site in terms of the observed frequency of hypoxia. Tests concluded that the most successful classification strategy used the minimum dissolved oxygen concentration from a continuously sampled 24-hour period. © Kluwer Academic Publishers 1993 |
abstract_unstemmed |
Abstract Dissolved oxygen was continuously monitored in eight sites of northern Gulf of Mexico estuaries in August, 1990. Monte Carlo analyses on subsamples of the data were used to evaluate several commonly used monitoring strategies. Monitoring strategies which involve single point sampling of dissolved oxygen may often misclassify an estuary as having good water quality. In the case of shallow, often well-mixed estuaries that experience diurnal cycles, such monitoring often does not occur at night, during the time of lowest dissolved oxygen concentration. Our objective was to determine the minimum sampling effort required to correctly classify a site in terms of the observed frequency of hypoxia. Tests concluded that the most successful classification strategy used the minimum dissolved oxygen concentration from a continuously sampled 24-hour period. © Kluwer Academic Publishers 1993 |
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Kevin</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Evaluation of sampling strategies to characterize dissolved oxygen conditions in northern Gulf of Mexico estuaries</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">1993</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Kluwer Academic Publishers 1993</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Dissolved oxygen was continuously monitored in eight sites of northern Gulf of Mexico estuaries in August, 1990. Monte Carlo analyses on subsamples of the data were used to evaluate several commonly used monitoring strategies. Monitoring strategies which involve single point sampling of dissolved oxygen may often misclassify an estuary as having good water quality. In the case of shallow, often well-mixed estuaries that experience diurnal cycles, such monitoring often does not occur at night, during the time of lowest dissolved oxygen concentration. Our objective was to determine the minimum sampling effort required to correctly classify a site in terms of the observed frequency of hypoxia. Tests concluded that the most successful classification strategy used the minimum dissolved oxygen concentration from a continuously sampled 24-hour period.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Water Quality</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Dissolve Oxygen</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Sampling Strategy</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Classification Strategy</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Diurnal Cycle</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Engle, Virginia D.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Environmental monitoring and assessment</subfield><subfield code="d">Kluwer Academic Publishers, 1981</subfield><subfield code="g">24(1993), 3 vom: Feb., Seite 219-229</subfield><subfield code="w">(DE-627)130549649</subfield><subfield code="w">(DE-600)782621-7</subfield><subfield code="w">(DE-576)476125413</subfield><subfield code="x">0167-6369</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:24</subfield><subfield code="g">year:1993</subfield><subfield code="g">number:3</subfield><subfield code="g">month:02</subfield><subfield code="g">pages:219-229</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://doi.org/10.1007/BF00545979</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-UMW</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-FOR</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-IBL</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4193</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4219</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">24</subfield><subfield code="j">1993</subfield><subfield code="e">3</subfield><subfield code="c">02</subfield><subfield code="h">219-229</subfield></datafield></record></collection>
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