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

Tritthart, Michael, Welti, Nina, Bondar-Kunze, Elisabeth, Pinay, Gilles, Hein, Thomas and Habersack, Helmut (2011) Modelling highly variable environmental factors to assess potential microbial respiration in complex floodplain landscapes. Environmental Modelling and Software, 26 9: 1097-1111. doi:10.1016/j.envsoft.2011.04.001


Author Tritthart, Michael
Welti, Nina
Bondar-Kunze, Elisabeth
Pinay, Gilles
Hein, Thomas
Habersack, Helmut
Title Modelling highly variable environmental factors to assess potential microbial respiration in complex floodplain landscapes
Journal name Environmental Modelling and Software   Check publisher's open access policy
ISSN 1364-8152
1873-6726
Publication date 2011-01-01
Sub-type Article (original research)
DOI 10.1016/j.envsoft.2011.04.001
Open Access Status Not Open Access
Volume 26
Issue 9
Start page 1097
End page 1111
Total pages 15
Place of publication Kidlington, Oxford, United Kingdom
Publisher Pergamon
Subject 2302 Ecological Modelling
2305 Environmental Engineering
1712 Software
Abstract The hydrological exchange conditions strongly determine the biogeochemical dynamics in river systems. More specifically, the connectivity of surface waters between main channels and floodplains is directly controlling the delivery of organic matter and nutrients into the floodplains, where biogeochemical processes recycle them with high rates of activity. Hence, an in-depth understanding of the connectivity patterns between main channel and floodplains is important for the modelling of potential gas emissions in floodplain landscapes. A modelling framework that combines steady-state hydrodynamic simulations with long-term discharge hydrographs was developed to calculate water depths as well as statistical probabilities and event durations for every node of a computation mesh being connected to the main river. The modelling framework was applied to two study sites in the floodplains of the Austrian Danube River, East of Vienna. Validation of modelled flood events showed good agreement with gauge readings. Together with measured sediment properties, results of the validated connectivity model were used as basis for a predictive model yielding patterns of potential microbial respiration based on the best fit between characteristics of a number of sampling sites and the corresponding modelled parameters. Hot spots of potential microbial respiration were found in areas of lower connectivity if connected during higher discharges and areas of high water depths.
Keyword Connectivity
Danube River
Floodplains
Gauge transformation
Hydrodynamic numerical modelling
Sediment respiration
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Civil Engineering Publications
 
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Created: Tue, 21 Jan 2014, 01:09:57 EST by Julie Hunter on behalf of School of Civil Engineering