Water quality prediction of marine recreational beaches receiving watershed baseflow and stormwater runoff in southern California, USA
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| Title: | Water quality prediction of marine recreational beaches receiving watershed baseflow and stormwater runoff in southern California, USA |
|---|---|
| Authors: | He, Li-Ming (Lee)1 lhe@cdpr.ca.gov, He, Zhen-Li2 zhe@ufl.edu |
| Source: | Water Research. May2008, Vol. 42 Issue 10/11, p2563-2573. 11p. |
| Subjects: | Water quality, Beaches, Artificial neural networks |
| Geographic Terms: | California |
| Abstract: | Abstract: Beach advisories are issued to the public in California when the concentration of fecal indicator bacteria (FIB), including total coliform, fecal coliform (or Escherichia coli), and Enterococcus, exceed their recreational water health standards, or when the amount of a rainfall event is above the pre-determined threshold. However, it is not fully understood about how and to what degree stormwater runoff or baseflow exerts impacts on beach water quality. Furthermore, current laboratory methods used to determine the FIB levels take 18–96h, which is too slow to keep pace with changes in FIB levels in water. Thus, a beach may not be posted when it is contaminated, and may be posted under advisory when bacterial levels have already decreased to within water quality standards. The study was designed to address the above critical issues. There were large temporal and spatial variations in FIB concentrations along two popular State Beaches in San Diego, CA, USA. The rainstorm-induced runoff from the watersheds exerts significant impacts on the marine recreational water quality of the beaches adjacent to lagoons during the first 24–48h after a rain event. The large volume of stormwater runoff discharging to beaches caused high FIB concentrations in beach water not only at the lagoon outlet channel and the mixing zone, but also at the locations 90m away from the channel northward or southward along the shoreline. The geomorphology of beach shoreline, distance from the outlet channel, wind strength, wind direction, tide height, wave height, rainfall, time lapse after a rainstorm, or channel flow rate played a role in affecting the distribution of FIB concentrations in beach water. Despite the great temporal and spatial variability of FIB concentrations along a shoreline, the artificial neural network-based models developed in this study are capable of successfully predicting FIB concentrations at different beaches, different locations, and different times under baseflow or rainstorm conditions. The models are based on readily measurable variables including temperature, conductivity, pH, turbidity, channel water flow, rainfall, and/or time lapse after a rainstorm. The established models will help fill the current gap between beach posting and actual water quality and make more meaningful and effective decisions on beach closures and advisories. [Copyright &y& Elsevier] |
| Copyright of Water Research is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 32050099 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Water quality prediction of marine recreational beaches receiving watershed baseflow and stormwater runoff in southern California, USA – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22He%2C+Li-Ming+%28Lee%29%22">He, Li-Ming (Lee)</searchLink><relatesTo>1</relatesTo><i> lhe@cdpr.ca.gov</i><br /><searchLink fieldCode="AR" term="%22He%2C+Zhen-Li%22">He, Zhen-Li</searchLink><relatesTo>2</relatesTo><i> zhe@ufl.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Water+Research%22">Water Research</searchLink>. May2008, Vol. 42 Issue 10/11, p2563-2573. 11p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Water+quality%22">Water quality</searchLink><br /><searchLink fieldCode="DE" term="%22Beaches%22">Beaches</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+neural+networks%22">Artificial neural networks</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22California%22">California</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Abstract: Beach advisories are issued to the public in California when the concentration of fecal indicator bacteria (FIB), including total coliform, fecal coliform (or Escherichia coli), and Enterococcus, exceed their recreational water health standards, or when the amount of a rainfall event is above the pre-determined threshold. However, it is not fully understood about how and to what degree stormwater runoff or baseflow exerts impacts on beach water quality. Furthermore, current laboratory methods used to determine the FIB levels take 18–96h, which is too slow to keep pace with changes in FIB levels in water. Thus, a beach may not be posted when it is contaminated, and may be posted under advisory when bacterial levels have already decreased to within water quality standards. The study was designed to address the above critical issues. There were large temporal and spatial variations in FIB concentrations along two popular State Beaches in San Diego, CA, USA. The rainstorm-induced runoff from the watersheds exerts significant impacts on the marine recreational water quality of the beaches adjacent to lagoons during the first 24–48h after a rain event. The large volume of stormwater runoff discharging to beaches caused high FIB concentrations in beach water not only at the lagoon outlet channel and the mixing zone, but also at the locations 90m away from the channel northward or southward along the shoreline. The geomorphology of beach shoreline, distance from the outlet channel, wind strength, wind direction, tide height, wave height, rainfall, time lapse after a rainstorm, or channel flow rate played a role in affecting the distribution of FIB concentrations in beach water. Despite the great temporal and spatial variability of FIB concentrations along a shoreline, the artificial neural network-based models developed in this study are capable of successfully predicting FIB concentrations at different beaches, different locations, and different times under baseflow or rainstorm conditions. The models are based on readily measurable variables including temperature, conductivity, pH, turbidity, channel water flow, rainfall, and/or time lapse after a rainstorm. The established models will help fill the current gap between beach posting and actual water quality and make more meaningful and effective decisions on beach closures and advisories. [Copyright &y& Elsevier] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Water Research is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.watres.2008.01.002 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 2563 Subjects: – SubjectFull: Water quality Type: general – SubjectFull: Beaches Type: general – SubjectFull: Artificial neural networks Type: general – SubjectFull: California Type: general Titles: – TitleFull: Water quality prediction of marine recreational beaches receiving watershed baseflow and stormwater runoff in southern California, USA Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: He, Li-Ming (Lee) – PersonEntity: Name: NameFull: He, Zhen-Li IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2008 Type: published Y: 2008 Identifiers: – Type: issn-print Value: 00431354 Numbering: – Type: volume Value: 42 – Type: issue Value: 10/11 Titles: – TitleFull: Water Research Type: main |
| ResultId | 1 |
