Modelling highly variable environmental factors to assess potential microbial respiration in complex floodplain landscapes

Environmental Modelling and Software

Volumn 26, Issue 9, 2011, Pages 1097-1111

  Tritthart, Michael ^a   Welti, Nina ^a,b   Bondar Kunze, Elisabeth ^a,b   Pinay, Gilles ^c   Hein, Thomas ^a,b   Habersack, Helmut ^a  

^a UNIVERSITY OF NATURAL RESOURCES AND LIFE SCIENCES   (Austria)

^b Inter University Centre for Aquatic Ecosystem Research   (Austria)

^c UNIVERSITY OF BIRMINGHAM   (United Kingdom)

Author keywords

Connectivity; Danube River; Floodplains; Gauge transformation; Hydrodynamic numerical modelling; Sediment respiration

Indexed keywords

BEST FIT; BIOGEOCHEMICAL DYNAMICS; BIOGEOCHEMICAL PROCESS; COMPUTATION MESH; CONNECTIVITY; CONNECTIVITY MODEL; CONNECTIVITY PATTERN; DANUBE RIVERS; ENVIRONMENTAL FACTORS; FLOOD EVENT; FLOODPLAINS; GAUGE TRANSFORMATION; HIGH RATE; HIGH WATER; HOT SPOT; HYDRODYNAMIC SIMULATION; HYDROGRAPHS; IN-DEPTH UNDERSTANDING; MICROBIAL RESPIRATION; MODELLING FRAMEWORK; ORGANIC MATTER; PREDICTIVE MODELS; RIVER SYSTEMS; SAMPLING SITE; SEDIMENT PROPERTIES; STATISTICAL PROBABILITY; STUDY SITES; WATER DEPTH;

ANOXIC SEDIMENTS; BANKS (BODIES OF WATER); BIOGEOCHEMISTRY; GAGES; GAS EMISSIONS; HYDRODYNAMICS; RIVERS; SEDIMENTOLOGY;

PHYSIOLOGY;

BIOGEOCHEMICAL CYCLE; CONNECTIVITY; DISCHARGE; EMISSION INVENTORY; ENVIRONMENTAL FACTOR; FLOODPLAIN; GAUGE; HYDRODYNAMICS; MICROBIAL ACTIVITY; MODEL VALIDATION; NUMERICAL MODEL; ORGANIC MATTER; RESPIRATION; SAMPLING; SEDIMENT PROPERTY; UNIT HYDROGRAPH; WATER DEPTH;

AUSTRIA; DANUBE RIVER;

EID: 79955916754     PISSN: 13648152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.envsoft.2011.04.001     Document Type: Article

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