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

Research output: Contribution to journalArticle

Standard

Modelling highly variable environmental factors to assess potential microbial respiration in complex floodplain landscapes. / Tritthart, M; Welti, N; Bondar-Kunze, E; Pinay, Gilles; Hein, T; Habersack, H.

In: Environmental Modelling and Software, Vol. 26, No. 9, 01.09.2011, p. 1097-1111.

Research output: Contribution to journalArticle

Harvard

APA

Vancouver

Author

Bibtex

@article{1ac15bfbfcb548ba80b650c5546107df,
title = "Modelling highly variable environmental factors to assess potential microbial respiration in complex floodplain landscapes",
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. (C) 2011 Elsevier Ltd. All rights reserved.",
keywords = "Danube River, Floodplains, Sediment respiration, Connectivity, Hydrodynamic numerical modelling, Gauge transformation",
author = "M Tritthart and N Welti and E Bondar-Kunze and Gilles Pinay and T Hein and H Habersack",
year = "2011",
month = "9",
day = "1",
doi = "10.1016/j.envsoft.2011.04.001",
language = "English",
volume = "26",
pages = "1097--1111",
journal = "Environmental Modelling and Software",
issn = "1364-8152",
publisher = "Elsevier",
number = "9",

}

RIS

TY - JOUR

T1 - Modelling highly variable environmental factors to assess potential microbial respiration in complex floodplain landscapes

AU - Tritthart, M

AU - Welti, N

AU - Bondar-Kunze, E

AU - Pinay, Gilles

AU - Hein, T

AU - Habersack, H

PY - 2011/9/1

Y1 - 2011/9/1

N2 - 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. (C) 2011 Elsevier Ltd. All rights reserved.

AB - 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. (C) 2011 Elsevier Ltd. All rights reserved.

KW - Danube River

KW - Floodplains

KW - Sediment respiration

KW - Connectivity

KW - Hydrodynamic numerical modelling

KW - Gauge transformation

U2 - 10.1016/j.envsoft.2011.04.001

DO - 10.1016/j.envsoft.2011.04.001

M3 - Article

VL - 26

SP - 1097

EP - 1111

JO - Environmental Modelling and Software

JF - Environmental Modelling and Software

SN - 1364-8152

IS - 9

ER -