Articles | Volume 15, issue 23
https://doi.org/10.5194/bg-15-7059-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-15-7059-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
29 Nov 2018
Research article |
| 29 Nov 2018
| 29 Nov 2018
Integrating multimedia models to assess nitrogen losses from the Mississippi River basin to the Gulf of Mexico
US Environmental Protection Agency, Office of Research and Development, Research Triangle Park, North Carolina, USA
Ruoyu Wang
Department of Land, Air and Water Resources, University of California, Davis, California, USA
Ellen Cooter
US Environmental Protection Agency, Office of Research and Development, Research Triangle Park, North Carolina, USA
Limei Ran
US Environmental Protection Agency, Office of Research and Development, Research Triangle Park, North Carolina, USA
Prasad Daggupati
Water Resources Engineering, University of Guelph, Guelph, Ontario, Canada
Dongmei Yang
Institute for the Environment, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
Raghavan Srinivasan
Department of Ecosystem Sciences and Management, Texas A & M, College Station, Texas, USA
Department of Biological and Agricultural Engineering, Texas A & M, College Station, Texas, USA
Anna Jalowska
US Environmental Protection Agency, Office of Research and Development, Research Triangle Park, North Carolina, USA
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Total article views: 3,202 (including HTML, PDF, and XML)
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- Evaluation of the performance of satellite products and microphysical schemes with the aim of forecasting early flood warnings in arid and semi-arid regions (a case study of northeastern Iran) R. Sarvestan et al. 10.1007/s11069-024-06689-9
- Assessing the Impacts of Recent Crop Expansion on Water Quality in the Missouri River Basin Using the Soil and Water Assessment Tool P. Chen et al. 10.1029/2020MS002284
- Analysis of alternative climate datasets and evapotranspiration methods for the Upper Mississippi River Basin using SWAT within HAWQS M. Chen et al. 10.1016/j.scitotenv.2020.137562
- Multivariate assimilation of satellite-based leaf area index and ground-based river streamflow for hydrological modelling of irrigated watersheds using SWAT+ O. Mohammadi Igder et al. 10.1016/j.jhydrol.2022.128012
- New Bidirectional Ammonia Flux Model in an Air Quality Model Coupled With an Agricultural Model J. Pleim et al. 10.1029/2019MS001728
- An Integrated Agriculture, Atmosphere, and Hydrology Modeling System for Ecosystem Assessments L. Ran et al. 10.1029/2019MS001708
- Impacts assessment of nitrification inhibitors on U.S. agricultural emissions of reactive nitrogen gases L. Luo et al. 10.1016/j.jenvman.2024.121043
- Weed community dynamics under repeated fertilization with different nutrient sources over 5 years F. Kordbacheh et al. 10.1016/j.agee.2022.108328
- Evaluating Direct Assimilation of Satellite-Based Potential Evapotranspiration into SWAT for Improving Hydrological Modeling S. Ghafourian et al. 10.1061/JHYEFF.HEENG-5936
- Hydromorphology of coastal zone and structure of watershed agro-food system are main determinants of coastal eutrophication J. Garnier et al. 10.1088/1748-9326/abc777
- Modeling Anthropogenic and Environmental Influences on Freshwater Harmful Algal Bloom Development Detected by MERIS Over the Central United States J. Iiames et al. 10.1029/2020WR028946
- What do we know from the transcriptomic studies investigating the interactions between plants and plant growth-promoting bacteria? A. Mukherjee 10.3389/fpls.2022.997308
- Mapping climate change vulnerability of aquatic-riparian ecosystems using decision-relevant indicators J. Delaney et al. 10.1016/j.ecolind.2021.107581
- Effects of sampling strategies and estimation algorithms on total nitrogen load determination in a small agricultural headwater watershed Y. Li et al. 10.1016/j.jhydrol.2019.124114
- IPEAT+: A Built-In Optimization and Automatic Calibration Tool of SWAT+ H. Yen et al. 10.3390/w11081681
- Role of existing and emerging technologies in advancing climate-smart agriculture through modeling: A review D. Gupta et al. 10.1016/j.ecoinf.2022.101805
- Improving hydrological process simulation in mountain watersheds: Integrating WRF model gridded precipitation data into the SWAT model A. Jiang et al. 10.1016/j.jhydrol.2024.131687
- Synthesis of Two Decades of US EPA’s Ecosystem Services Research to Inform Environmental, Community and Sustainability Decision Making M. Harwell & C. Jackson 10.3390/su13158249
- A review of pesticide fate and transport simulation at watershed level using SWAT: Current status and research concerns R. Wang et al. 10.1016/j.scitotenv.2019.03.141
Latest update: 23 Nov 2024
Short summary
Elevated levels of nutrients in surface water, which originate from deposition of atmospheric N, drainage from agricultural fields, and discharges from sewage treatment plants, cause explosive algal blooms that impair water quality. The complex cycling of nutrients through the land, air, and water requires an integrated multimedia modeling system linking air, land surface, and stream processes to assess their sources, transport, and transformation in large river basins for decision making.
Elevated levels of nutrients in surface water, which originate from deposition of atmospheric N,...
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