Modeling solute turnover within landscapes and export by rivers from local to global scales

Conveners

Jan Fleckenstein, Helmholtz-Zentrum für Umweltforschung, UFZ, Leipzig, Germany
Jim Jawitz, University of Florida, US
Ype van der Velde, VU University Amsterdam, NE
Jay Zarnetske, Michigan State University, US

Featured Speaker

Paolo Benettin, EPFL, Switzerland
Jesus Gomez-Velez, Dept. Earth & Environmental Science, New Mexico Institute of Mining & Technology, US

Description

Catchments and landscapes act as complex filters of solute and pollutant inputs delivered via point- and diffuse sources. Observed solute concentration variability in a stream or groundwater well results from an intricate interplay between hydrological processes dominating transport and mixing and biogeochemical processes controlling their turnover and decay. As spatial scale increases from point, to stream, to catchment, to continent it becomes increasingly challenging to identify the relevance and/or dominance of individual processes in this solute filtering. This is a problem for the formulation of adequate models of solute dynamics at larger scales. However, an improved understanding of the controlling processes and the capacity to model them at these integrated scales is urgently needed, because the catchment- to regional-scale is where management decisions are typically made and can be implemented.

This session focuses on recent developments and advances in modeling catchment/regional- to global-scale solute turnover and export, including both classical bottom-up predictive and more heuristic top-down approaches. Topics of interest include but are not limited to:

  • Process-based simulation of reactive solute transport in complex landscapes, including landscape component interfaces
  • Solute transport modeling approaches that consider both landscape reactions and in-stream processing
  • Parsimonious and data-driven models of solute dynamics at regional scales
  • Up-scaling and linking of detailed, local process models to integral dynamics at larger scales
  • Using top-down approaches to refine bottom-up process models for improved predictions at larger scales
  • Travel- and residence time based approaches
  • “Explorative” modeling of solute dynamics to derive catchment classifications

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