Home

About Us

Digital Libraries

What's New

Ordering

Search Database

Ask a Librarian
 

Sea Grant Publication Search Results

NSGL#:    WHOI-R-04-004
Title:    ELM, an estuarine nitrogen loading model: formulation 
            and verification of predicted concentrations of dissolved 
            inorganic nitrogen.
Author:   Valiela  Ivan; Mazzilli  Stefano; Bowen  Jennifer L.; 
            Kroeger  Kevin D.; Cole  Marci L.; Tomasky  Gabrielle; 
            Isaji  Tatsu
Citation: "Water, Air, and Soil Pollution," 157:365-391, 2004.
Year:     2004
# Pages:  27
Abstract: ELM is an Estuarine Loading Model that calculates mean 
            annual concentration of dissolved inorganic nitrogen (DIN) 
            available to producers in shallow estuaries by considering 
            how different processes modify pools of nitrogen provided 
            by inputs (streams, groundwater, atmospheric deposition, 
            nitrogen fixation, and regeneration) and losses (burial and 
            denitrification), within components of the estuarine system 
            (bare sediments, seagrass meadows, salt marshes, water 
            column). ELM also considers the effect of flushing rate 
            within an estuary. Its formulation was constrained to 
            minimize demands of data needed to run the model. In spite 
            of simplifications, the model's predictions of mean annual 
            DIN were not significantly different than field 
            measurements done in estuaries on Cape Cod, Massachusetts, 
            subject to different rates of nitrogen loading.
Price:    no charge.
          (Please check with the originating program for
          current availability and any price changes.)


Go to a Results Summary page (10 entries per page):
[ 1 ]

Search and retrieval software customized for National Sea Grant Library
from software originally provided courtesy of CNIDR.
Gateway Based on CNIDR Isite
Copyright © MCNC, Clearinghouse for Networked Information Discovery and Retrieval, 1994-1997.