Technical Papers
Jul 21, 2016

Modeling Nitrogen and Carbon Dynamics in Wetland Soils and Water Using Mechanistic Wetland Model

Publication: Journal of Hydrologic Engineering
Volume 22, Issue 1

Abstract

In this article, extension and application to variably saturated wetland conditions of a process-based wetland model is demonstrated. The new model described in this article is an improved version of an earlier model, which was only capable of capturing nutrient dynamics in continuously ponded wetlands. The upgraded model is capable of simulating nutrient cycling and biogeochemical reactions in both ponded and unsaturated wetland zones. To accomplish this goal, a comprehensive module for tracking water content in wetland soil was implemented in the model, and biogeochemical relationships were added to explain cycling of nitrogen (N) and carbon (C) in variably saturated zones of wetlands. The developed model was applied to a small, restored wetland receiving agricultural runoff, located on Kent Island, Maryland. On average, during the two-year study period, the ponded compartment of the study wetland covered 65% of the total 1.2 ha area. Through mass balance analysis, it was revealed that the mass of nitrogen lost to denitrification at the variably saturated compartment of the study wetland was about three times higher than that of the ponded compartment (32.7±29.3kg versus 9.5±5.5kg), whereas ammonia volatilization at the variably saturated compartment was a fraction of that of ponded compartment (1.2±1.9kg versus 11.3±11.8kg). Sensitivity analysis showed that cycling of carbon-related constituents in variably saturated compartment had high sensitivity to temperature and available soil moisture.

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Acknowledgments

The U.S. Environmental Protection Agency through its Office of Research and Development funded and managed the research described here under EPA Contract # EP-C-11-006. It has not been subjected to Agency review and therefore does not necessarily reflect the views of the Agency, and no official endorsement should be inferred.

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Go to Journal of Hydrologic Engineering
Journal of Hydrologic Engineering
Volume 22Issue 1January 2017

History

Received: Nov 13, 2015
Accepted: Jun 10, 2016
Published online: Jul 21, 2016
Discussion open until: Dec 21, 2016
Published in print: Jan 1, 2017

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Authors

Affiliations

Research Associate, Univ. of Maryland, 10300 Baltimore Ave., Bldg. 007, Barc-West, Beltsville, MD 20705 (corresponding author). E-mail: [email protected]
M. M. Hantush, A.M.ASCE
Research Hydrologist, National Risk Management Research Laboratory, U.S. EPA, 26 West Martin Luther King Dr., Cincinnati, OH 45268.
L. Kalin, A.M.ASCE
Professor, Auburn Univ., 602 Duncan Dr., Auburn, AL 36849.

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