DOI: 10.1016/j.marpolbul.2018.02.047
Scopus记录号: 2-s2.0-85042741063
论文题名: Optimising statistical models to predict faecal pollution in coastal areas based on geographic and meteorological parameters
作者: de Souza R.V. ; de Campos C.J.A. ; Garbossa L.H.P. ; Vianna L.F.D.N. ; Seiffert W.Q.
刊名: Marine Pollution Bulletin
ISSN: 0025-326X
EISSN: 1879-3363
出版年: 2018
卷: 129, 期: 1 起始页码: 284
结束页码: 292
语种: 英语
英文关键词: Coliforms
; Escherichia coli
; Faecal pollution
; Florianópolis
; Perna perna
; Regression models
Scopus关键词: Coastal zones
; Escherichia coli
; Pollution
; Rain
; Regression analysis
; River pollution
; Runoff
; Water pollution
; Coliforms
; Faecal indicator organisms
; Faecal pollutions
; Geographical parameters
; Meteorological parameters
; Perna perna
; Regression model
; Spatial and temporal variation
; Catchments
; Escherichia coli
; Perna perna
Scopus学科分类: Agricultural and Biological Sciences: Aquatic Science
; Earth and Planetary Sciences: Oceanography
; Environmental Science: Pollution
英文摘要: This article describes a methodology for optimising predictive models for concentrations of faecal indicator organisms (FIOs) in coastal areas based on geographic and meteorological characteristics of upstream catchments. Concentrations of FIOs in mussels and water sampled from 50 sites in the south of Brazil from 2012 to 2013 were used to develop models to separately predict the spatial and temporal variations of FIOs. The geographical parameters used in predictive models for the spatial variation of FIOs were human population, urban area, percentage of impervious cover and total catchment area. The R2 of models representing catchments located within 3.1 km from the monitoring points was up to 150% higher than that for the nearest catchment. The temporal variation of FIOs was modelled considering the combined effect of meteorological parameters and different time windows. The explained variance in models based on rainfall and solar radiation increased up to 155% and 160%, respectively. © 2018 Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/88383
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: Empresa de Pesquisa Agropecuária e Extensão Rural de Santa Catarina (Epagri), Rodovia Admar Gonzaga, 1.347, Itacorubi, Florianópolis, SC, Brazil; Centre for Environment, Fisheries & Aquaculture Science (Cefas), Weymouth Laboratory, Barrack Road, The Nothe, United Kingdom; Universidade Federal de Santa Catarina (UFSC), Rodovia Admar Gonzaga, 1346, Itacorubi, Florianópolis, SC, Brazil
Recommended Citation:
de Souza R.V.,de Campos C.J.A.,Garbossa L.H.P.,et al. Optimising statistical models to predict faecal pollution in coastal areas based on geographic and meteorological parameters[J]. Marine Pollution Bulletin,2018-01-01,129(1)