Deriving field-based sediment quality guidelines from the relationship between species density and contaminant level using a novel nonparametric empirical Bayesian approach

Environmental Science and Pollution Research

Volumn 21, Issue 1, 2014, Pages 177-192

  Lui, Gilbert C S ^a   Li, W K ^a   Bjørgesæter, Anders ^b   Leung, Kenneth M Y ^c  

^a UNIVERSITY OF HONG KONG   (Hong Kong)

^b UNIVERSITY OF OSLO   (Norway)

^c UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Benthic biodiversity; Ecological modeling; Empirical Bayesian methods; Sediment quality guidelines; Species sensitivity distribution

Indexed keywords

BAYESIAN ANALYSIS; BENTHOS; BIODIVERSITY; CONCENTRATION (COMPOSITION); COST-BENEFIT ANALYSIS; DATA SET; DATABASE; ECOLOGICAL MODELING; ENVIRONMENTAL QUALITY; GUIDELINE; SEDIMENT ANALYSIS; SEDIMENT POLLUTION; TRACE ELEMENT;

NORWAY;

METAL;

ARTICLE; BAYES THEOREM; CHEMICAL MODEL; CHEMISTRY; ECOLOGY; ENVIRONMENTAL MONITORING; METHODOLOGY; NONPARAMETRIC TEST; POPULATION DENSITY; PRACTICE GUIDELINE; RISK ASSESSMENT; SEDIMENT;

BAYES THEOREM; ECOLOGY; ENVIRONMENTAL MONITORING; GEOLOGIC SEDIMENTS; GUIDELINES AS TOPIC; METALS; MODELS, CHEMICAL; POPULATION DENSITY; RISK ASSESSMENT; STATISTICS, NONPARAMETRIC;

EID: 84891631427     PISSN: 09441344     EISSN: 16147499     Source Type: Journal    
DOI: 10.1007/s11356-013-1889-1     Document Type: Article

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