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      Integrating multimedia models to assess nitrogen losses from the Mississippi River basin to the Gulf of Mexico

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          Abstract

          This study describes and implements an integrated, multimedia, process-based system-level approach to estimating nitrogen (N) fate and transport in large river basins. The modeling system includes the following components: (1) Community Multiscale Air Quality (CMAQ),(2) Weather Research and Forecasting Model (WRF), (3) Environmental Policy Integrated Climate (EPIC), and (4) Soil and Water Assessment Tool (SWAT). The previously developed Fertilizer Emission Scenario Tool for CMAQ (FEST-C), an advanced user interface, integrated EPIC with the WRF model and CMAQ. The FEST-C system, driven by process-based WRF weather simulations, includes atmospheric N additions to agricultural cropland and agricultural cropland contributions to ammonia emissions. This study focuses on integrating the watershed hydrology and water quality model with FEST-C system so that a full multimedia assessment on water quality in large river basins to address impacts of fertilization, meteorology, and atmospheric N deposition on water quality can be achieved. Objectives of this paper are to describe how to expand the previous effort by integrating the SWAT model with the FEST-C (CMAQ/WRF/EPIC) modeling system, as well as to demonstrate application of the Integrated Modeling System (IMS) to the Mississippi River basin (MRB) to simulate streamflow and dissolved N loadings to the Gulf of Mexico (GOM). IMS simulation results generally agree with US Geological Survey (USGS) observations/estimations; the annual simulated streamflow is 218.9 mm and USGS observation is 211.1 mm and the annual simulated dissolved N is 2.1 kg ha −1 and the USGS estimation is 2.8 kg ha −1. Integrating SWAT with the CMAQ/WRF/EPIC modeling system allows for its use within large river basins without losing EPIC’s more detailed biogeochemistry processes, which will strengthen the assessment of impacts of future climate scenarios, regulatory and voluntary programs for N oxide air emissions, and land use and land management on N transport and transformation in large river basins.

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          Most cited references35

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          Review of the Governing Equations, Computational Algorithms, and Other Components of the Models-3 Community Multiscale Air Quality (CMAQ) Modeling System

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            SWAT: Model Use, Calibration, and Validation

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              Differences in phosphorus and nitrogen delivery to the Gulf of Mexico from the Mississippi River Basin.

              Seasonal hypoxia in the northern Gulf of Mexico has been linked to increased nitrogen fluxes from the Mississippi and Atchafalaya River Basins, though recent evidence shows that phosphorus also influences productivity in the Gulf. We developed a spatially explicit and structurally detailed SPARROW water-quality model that reveals important differences in the sources and transport processes that control nitrogen (N) and phosphorus (P) delivery to the Gulf. Our model simulations indicate that agricultural sources in the watersheds contribute more than 70% of the delivered N and P. However, corn and soybean cultivation is the largest contributor of N (52%), followed by atmospheric deposition sources (16%); whereas P originates primarily from animal manure on pasture and rangelands (37%), followed by corn and soybeans (25%), other crops (18%), and urban sources (12%). The fraction of in-stream P and N load delivered to the Gulf increases with stream size, but reservoir trapping of P causes large local- and regional-scale differences in delivery. Our results indicate the diversity of management approaches required to achieve efficient control of nutrient loads to the Gulf. These include recognition of important differences in the agricultural sources of N and P, the role of atmospheric N, attention to P sources downstream from reservoirs, and better control of both N and P in close proximity to large rivers.
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                Author and article information

                Journal
                101233311
                37853
                Biogeosciences
                Biogeosciences
                Biogeosciences (Online)
                1726-4170
                1726-4189
                11 July 2019
                2018
                18 July 2019
                : 15
                : 7059-7076
                Affiliations
                [1 ]US Environmental Protection Agency, Office of Research and Development, Research Triangle Park, North Carolina, USA
                [2 ]Department of Land, Air and Water Resources, University of California, Davis, California, USA
                [3 ]Water Resources Engineering, University of Guelph, Guelph, Ontario, Canada
                [4 ]Institute for the Environment, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
                [5 ]Department of Ecosystem Sciences and Management, Texas A & M, College Station, Texas, USA
                [6 ]Department of Biological and Agricultural Engineering, Texas A & M, College Station, Texas, USA
                Author notes

                Author contributions. YY and EC conceived and designed the work. RW, LR, PD, DY, RS and AJ implemented this study. YY and RW analyzed the data and drafted the manuscript. All the authors reviewed and revised the manuscript.

                Correspondence: Yongping Yuan ( yuan.yongping@ 123456epa.gov )
                Article
                EPAPA1035881
                10.5194/bg-15-7059-2018
                6638569
                62e64078-3352-4d6d-9709-0da0338f941a

                This work is distributed under the Creative Commons Attribution 4.0 License.

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