TY - JOUR
T1 - Control of Nitrogen Exports From River Basins to the Coastal Ocean
T2 - Evaluation of Basin Management Strategies for Reducing Coastal Hypoxia
AU - Lee, M.
AU - Jung, C.
AU - Shevliakova, E.
AU - Malyshev, S.
AU - Han, H.
AU - Kim, S.
AU - Kim, K.
AU - Jaffe, Peter R.
N1 - Funding Information:
We thank P. C. D. Milly from U.S. Geological Survey, C. A. Stock from NOAA/Geophysical Fluid Dynamic Laboratory and two anonymous reviewers for their incisive comments on the manuscript and analyses. Support for M. Lee was provided by a Fulbright Scholarship, by the Princeton Environmental Institute at Princeton University through the Mary and Randall Hack’69 Research Fund, and by the NOAA (U.S. Department of Commerce) grants NA08OAR4320752 and NA14OAR4320106. This study was partially supported by the research project “Impact assessment of climate change on water quality in a regional scale using a land surface model” of the National Institute of Environmental Research. The data used in this study and model outputs are extensively described where needed and attached to this article as supporting information Data Sets S1 and S2. The model codes are available at https://github.com/minjinl/LM3-TAN. Annual CO2 concentrations from the NOAA Earth System Research Laboratory are available at http://www.esrl.noaa.gov/gmd/ccgg/trends/global.html; last access: 21 January 2018. The authors declare that there are no conflicts of interest regarding the publication of this paper.
Publisher Copyright:
©2018. American Geophysical Union. All Rights Reserved.
PY - 2018/10
Y1 - 2018/10
N2 - The spread of coastal hypoxia is a pressing global problem, largely caused by substantial nitrogen (N) exports from river basins to the coastal ocean. Most previous process-based modeling studies for investigating basin management strategies to reduce river N exports focused on the impacts of different farming practices or land use, used watershed models that simplified many mechanisms that critically affect the state of N storage in land, were limited mainly to fairly small basins, and did not span multiple climate regimes. Here we use a process-based land-river model to simulate historical (1999–2010) river flows and nitrate-N exports throughout the entire drainage network of South Korea (100,210 km2), which encompasses varying climate, land use, and hydrogeological characteristics. Based on projections by using multiple scenarios of N input reductions and climates, we explore the impacts of various ecosystem factors (i.e., N storage in basins, climate and its variability, anthropogenic N inputs, and basin location) on river nitrate-N exports. Our findings have fundamental implications for reducing coastal hypoxia: (1) a small reduction of N inputs in basins, including intensively utilized human land use, can have a greater improvement on water quality; (2) heightening climate variability may not increase long-term mean river N exports yet can significantly mask N input reduction effects by producing N export extremes associated with recurring coastal hypoxia; and (3) N exports to the coastal ocean can be most efficiently reduced by decreasing N inputs in subbasins, which are receiving high anthropogenic N inputs and are close to the coast.
AB - The spread of coastal hypoxia is a pressing global problem, largely caused by substantial nitrogen (N) exports from river basins to the coastal ocean. Most previous process-based modeling studies for investigating basin management strategies to reduce river N exports focused on the impacts of different farming practices or land use, used watershed models that simplified many mechanisms that critically affect the state of N storage in land, were limited mainly to fairly small basins, and did not span multiple climate regimes. Here we use a process-based land-river model to simulate historical (1999–2010) river flows and nitrate-N exports throughout the entire drainage network of South Korea (100,210 km2), which encompasses varying climate, land use, and hydrogeological characteristics. Based on projections by using multiple scenarios of N input reductions and climates, we explore the impacts of various ecosystem factors (i.e., N storage in basins, climate and its variability, anthropogenic N inputs, and basin location) on river nitrate-N exports. Our findings have fundamental implications for reducing coastal hypoxia: (1) a small reduction of N inputs in basins, including intensively utilized human land use, can have a greater improvement on water quality; (2) heightening climate variability may not increase long-term mean river N exports yet can significantly mask N input reduction effects by producing N export extremes associated with recurring coastal hypoxia; and (3) N exports to the coastal ocean can be most efficiently reduced by decreasing N inputs in subbasins, which are receiving high anthropogenic N inputs and are close to the coast.
KW - basin management strategies
KW - coastal hypoxia
KW - land-river models
KW - nitrogen cycle modeling
KW - nitrogen-input reductions
KW - river nitrogen exports
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U2 - 10.1029/2018JG004436
DO - 10.1029/2018JG004436
M3 - Article
AN - SCOPUS:85054489420
SN - 2169-8953
VL - 123
SP - 3111
EP - 3123
JO - Journal of Geophysical Research: Biogeosciences
JF - Journal of Geophysical Research: Biogeosciences
IS - 10
ER -