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Lake sediments during the transient eutrophication period: Reactive-transport model and identifiability study

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  • Dittrich, M.
  • Wehrli, B.
  • Reichert, P.

Abstract

The modeling of diagenetic processes in the sediment of deep eutrophic lakes requires a dynamic approach covering seasonal changes to decadal trends. Due to the large base of scientific knowledge, the description of environmental systems is often based on complex simulation models that contain parameterizations of a large number of processes. The parameters of such models are usually not identifiable from a data set available for a specific system. In such situations, identifiability analysis techniques are useful in order to find identifiable subsets of parameters and to gain insight into the degree of non-identifiability.

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  • Dittrich, M. & Wehrli, B. & Reichert, P., 2009. "Lake sediments during the transient eutrophication period: Reactive-transport model and identifiability study," Ecological Modelling, Elsevier, vol. 220(20), pages 2751-2769.
    • Handle: RePEc:eee:ecomod:v:220:y:2009:i:20:p:2751-2769
    DOI: 10.1016/j.ecolmodel.2009.07.015
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    1. Christopher A. Klausmeier & Elena Litchman & Tanguy Daufresne & Simon A. Levin, 2004. "Optimal nitrogen-to-phosphorus stoichiometry of phytoplankton," Nature, Nature, vol. 429(6988), pages 171-174, May.
    2. Sohma, Akio & Sekiguchi, Yasuyuki & Kuwae, Tomohiro & Nakamura, Yoshiyuki, 2008. "A benthic–pelagic coupled ecosystem model to estimate the hypoxic estuary including tidal flat—Model description and validation of seasonal/daily dynamics," Ecological Modelling, Elsevier, vol. 215(1), pages 10-39.
    3. Mieleitner, Johanna & Reichert, Peter, 2008. "Modelling functional groups of phytoplankton in three lakes of different trophic state," Ecological Modelling, Elsevier, vol. 211(3), pages 279-291.
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    Cited by:

    1. Yang, Likun & Zhao, Xinhua & Peng, Sen & Li, Xia, 2016. "Water quality assessment analysis by using combination of Bayesian and genetic algorithm approach in an urban lake, China," Ecological Modelling, Elsevier, vol. 339(C), pages 77-88.
    2. Ramin, Maryam & Labencki, Tanya & Boyd, Duncan & Trolle, Dennis & Arhonditsis, George B., 2012. "A Bayesian synthesis of predictions from different models for setting water quality criteria," Ecological Modelling, Elsevier, vol. 242(C), pages 127-145.
    3. Katsev, Sergei & Dittrich, Maria, 2013. "Modeling of decadal scale phosphorus retention in lake sediment under varying redox conditions," Ecological Modelling, Elsevier, vol. 251(C), pages 246-259.

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