Quantifying fine-grained sediment sources in the River Axe catchment, southwest England: Application of a Monte Carlo numerical modelling framework incorporating local and genetic algorithm optimisation

Hydrological Processes

Volumn 26, Issue 13, 2012, Pages 1962-1983

  Collins, A L ^a,b   Zhang, Y ^a   Walling, D E ^c   Grenfell, S E ^a,c   Smith, P ^d   Grischeff, J ^e   Locke, A ^d   Sweetapple, A ^d   Brogden, D ^d  

^a ADAS BOXWORTH   (United Kingdom)

^b UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

^c UNIVERSITY OF EXETER   (United Kingdom)

^d ENVIRONMENT AGENCY   (United Kingdom)

^e NATURAL ENGLAND   (United Kingdom)

Author keywords

Grassland; Latin Hypercube Sampling; Monte Carlo; Sediment source tracing; Uncertainty; Water Framework Directive

Indexed keywords

GRASSLAND; LATIN HYPERCUBE SAMPLING; MONTE CARLO; SEDIMENT SOURCES; UNCERTAINTY; WATER FRAMEWORK DIRECTIVES;

CATCHMENTS; GENETIC ALGORITHMS; GLOBAL OPTIMIZATION; MONTE CARLO METHODS; NUMERICAL MODELS; OPTIMIZATION; RUNOFF; SEDIMENTOLOGY; TOOLS; UNCERTAINTY ANALYSIS; WATER CONSERVATION;

SEDIMENTS;

FINE GRAINED SEDIMENT; FLUVIAL DEPOSIT; GENETIC ALGORITHM; GRASSLAND; MONTE CARLO ANALYSIS; NUMERICAL MODEL; OPTIMIZATION;

AXE RIVER; ENGLAND; UNITED KINGDOM;

EID: 84862696398     PISSN: 08856087     EISSN: 10991085     Source Type: Journal    
DOI: 10.1002/hyp.8283     Document Type: Article

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