Comparing catchment sediment fingerprinting procedures using an auto-evaluation approach with virtual sample mixtures

Science of the Total Environment

Volumn 532, Issue , 2015, Pages 456-466

  Palazón, Leticia ^a   Latorre, Borja ^a   Gaspar, Leticia ^c   Blake, William H ^b   Smith, Hugh G ^d   Navas, Ana ^a  

^a CSIC   (Spain)

^b UNIVERSITY OF PLYMOUTH   (United Kingdom)

^c UNIVERSITY OF NORTHERN BRITISH COLUMBIA   (Canada)

^d UNIVERSITY OF LIVERPOOL   (United Kingdom)

Author keywords

Mixing model; River catchments; Sediment contribution; Sediment fingerprinting; Sediment source ascription

Indexed keywords

INTELLIGENT SYSTEMS; LAND USE; MEAN SQUARE ERROR; MIXING; MIXTURES; MONTE CARLO METHODS; PRINCIPAL COMPONENT ANALYSIS; RUNOFF; SEDIMENTS; SOIL CONSERVATION; SOIL TESTING;

MIXING MODELS; PRINCIPAL COMPONENTS ANALYSIS; RIVER CATCHMENT; ROOT MEAN SQUARED ERRORS; SEDIMENT FINGERPRINTING; SEDIMENT SOURCES; SOURCE APPORTIONMENT; SOURCE DISCRIMINATION;

CATCHMENTS;

TRACER;

CATCHMENT; COMPUTER SIMULATION; FLUVIAL DEPOSIT; MIXING; MONTE CARLO ANALYSIS; POLLUTANT TRANSPORT; SEDIMENT TRANSPORT;

ACCURACY; ARTICLE; AUTOMATION; CATCHMENT; CATCHMENT SEDIMENT FINGERPRINTING PROCEDURE; CHEMICAL ANALYSIS; CONCENTRATION (PARAMETERS); CONTROLLED STUDY; ECOLOGICAL PROCEDURES; ERROR; GEOGRAPHIC DISTRIBUTION; INTERMETHOD COMPARISON; MONTE CARLO METHOD; PRIORITY JOURNAL; PROCESS DEVELOPMENT; PROCESS OPTIMIZATION; ROOT MEAN SQUARED ERROR; SEDIMENT;

SPAIN;

EID: 84934940982     PISSN: 00489697     EISSN: 18791026     Source Type: Journal    
DOI: 10.1016/j.scitotenv.2015.05.003     Document Type: Article

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