Journal article
Assessing the Relative Importance of Nitrogen-Retention Processes in a Large Reservoir Using Time-Series Modeling
Journal of agricultural, biological, and environmental statistics, Vol.21(1), pp.152-169
11/30/2015
DOI: 10.1007/s13253-015-0218-1
Abstract
Nitrogen (N) removal within reservoirs can be substantial, but few studies have reported the relative importance of various N-retention pathways. Assessing N-removal processes in reservoirs is important for quantifying the impacts of reservoirs on downstream water quality. In this study, we used a time-series approach to quantify the relative importance of various N-removal processes in the Saylorville Reservoir in Iowa. Dynamic regression modeling of upstream–downstream changes in key water-quality surrogates (pH, hardness, alkalinity, and suspended solids) and their relation to N concentration changes were used to estimate the relative importances of denitrification, N assimilation by algal uptake, and sedimentation of N on N retention in the reservoir. Assuming that decreasing N concentrations in the reservoir are the sum of these three processes, we estimate that denitrification is the dominant N removal process (60.9 %) followed by algal assimilation (37.9 %) and sedimentation (1.2 %). Our approach represents a new method of establishing the relative importance of N-removal processes in reservoirs and quantifying the impacts of reservoirs on downstream water quality.
Details
- Title: Subtitle
- Assessing the Relative Importance of Nitrogen-Retention Processes in a Large Reservoir Using Time-Series Modeling
- Creators
- Elizabeth Hansen - Western Illinois UniversityKung-Sik Chan - University of IowaChristopher S Jones - University of IowaKeith Schilling - University of Iowa
- Resource Type
- Journal article
- Publication Details
- Journal of agricultural, biological, and environmental statistics, Vol.21(1), pp.152-169
- Publisher
- Springer US
- DOI
- 10.1007/s13253-015-0218-1
- ISSN
- 1085-7117
- eISSN
- 1537-2693
- Language
- English
- Date published
- 11/30/2015
- Academic Unit
- Statistics and Actuarial Science; Radiology; Earth and Environmental Sciences; IIHR--Hydroscience and Engineering
- Record Identifier
- 9984257634802771
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