globalchange  > 过去全球变化的重建
DOI: 10.1016/j.marpolbul.2015.03.019
Scopus记录号: 2-s2.0-84929273261
论文题名:
A predictive model for microbial counts on beaches where intertidal sand is the primary source
作者: Feng Z.; Reniers A.; Haus B.K.; Solo-Gabriele H.M.; Wang J.D.; Fleming L.E.
刊名: Marine Pollution Bulletin
ISSN: 0025-326X
EISSN: 1879-3363
出版年: 2015
卷: 94, 期:2018-01-02
起始页码: 37
结束页码: 47
语种: 英语
英文关键词: Beach advisory ; Fecal indicator bacteria ; Microbial mass balance ; Multivariable linear regression ; Nonpoint source beach ; Water quality model
Scopus关键词: Regression analysis ; Water quality ; Fecal indicator bacteria ; Microbial mass ; Multi-variable linear regression ; Non-point source ; Water quality modeling ; Beaches ; bacterium ; beach ; intertidal environment ; marine pollution ; microbiology ; nonpoint source pollution ; regression analysis ; water quality ; Article ; bacterial count ; biomass ; colony forming unit ; Enterococcus ; environmental management ; environmental protection ; hydrodynamics ; mathematical analysis ; mathematical model ; predictive model ; regression analysis ; sand ; sea pollution ; seashore ; simulation ; spatiotemporal analysis ; validation process ; environment ; environmental monitoring ; growth, development and aging ; microbiology ; recreation ; sediment ; statistics and numerical data ; swimming ; theoretical model ; sea water ; Bathing Beaches ; Enterococcus ; Environment ; Environmental Monitoring ; Geologic Sediments ; Models, Theoretical ; Recreation ; Seawater ; Water Microbiology
Scopus学科分类: Agricultural and Biological Sciences: Aquatic Science ; Earth and Planetary Sciences: Oceanography ; Environmental Science: Pollution
英文摘要: Human health protection at recreational beaches requires accurate and timely information on microbiological conditions to issue advisories. The objective of this study was to develop a new numerical mass balance model for enterococci levels on nonpoint source beaches. The significant advantage of this model is its easy implementation, and it provides a detailed description of the cross-shore distribution of enterococci that is useful for beach management purposes. The performance of the balance model was evaluated by comparing predicted exceedances of a beach advisory threshold value to field data, and to a traditional regression model. Both the balance model and regression equation predicted approximately 70% the advisories correctly at the knee depth and over 90% at the waist depth. The balance model has the advantage over the regression equation in its ability to simulate spatiotemporal variations of microbial levels, and it is recommended for making more informed management decisions. © 2015 Elsevier Ltd.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/86337
Appears in Collections:过去全球变化的重建
全球变化的国际研究计划

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作者单位: Department of Ocean Sciences, Rosenstiel School of Marine and Atmospheric Science, University of Miami, 4600 Rickenbacker Causeway, Miami, FL, United States; NSF NIEHS Oceans and Human Health Center, Rosenstiel School of Marine and Atmospheric Science, University of Miami, 4600 Rickenbacker Causeway, Miami, FL, United States; Department of Hydraulic Engineering, Environmental Fluid Mechanics Section, Delft University of Technology, Stevinweg 1, Delft, Netherlands; Department of Civil, Architectural and Environmental Engineering, College of Engineering, University of Miami, 1251 Memorial Drive, Coral Gables, FL, United States; European Centre for Environment and Human Health, University of Exeter Medical School, Royal Cornwall Hospital, knowledge Spa, Truro, Cornwall, United Kingdom

Recommended Citation:
Feng Z.,Reniers A.,Haus B.K.,et al. A predictive model for microbial counts on beaches where intertidal sand is the primary source[J]. Marine Pollution Bulletin,2015-01-01,94(2018-01-02)
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