Combined Effects of Stream Hydrology and Land Use on Basin-Scale Hyporheic Zone Denitrification in the Columbia River Basin

被引:5
作者
Son, Kyongho [1 ]
Fang, Yilin [1 ]
Gomez-Velez, Jesus D. [2 ,3 ]
Byun, Kyuhyun [4 ]
Chen, Xingyuan [1 ]
机构
[1] Pacific Northwest Natl Lab, Richland, WA 99354 USA
[2] Vanderbilt Univ, Dept Civil & Environm Engn, Nashville, TN USA
[3] Climate Change Sci Inst & Environm Sci Div, Oak Ridge Natl Lab, Oak Ridge, TN USA
[4] Incheon Natl Univ, Dept Environm Engn, Incheon, South Korea
关键词
hyporheic zone; denitrification modeling; random forest model; stream size; and land use; CLIMATE-CHANGE; HYDRAULIC CONDUCTIVITY; NITROGEN; NETWORK; WATER; VARIABILITY; EXCHANGE; REMOVAL; IMPACT; MODEL;
D O I
10.1029/2021WR031131
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Denitrification in the hyporheic zone (HZ) of river corridors is crucial to removing excess nitrogen in rivers from anthropogenic activities. However, previous modeling studies of the effectiveness of river corridors in removing excess nitrogen via denitrification were often limited to the reach-scale and low-order stream watersheds. We developed a basin-scale river corridor model for the Columbia River Basin with random forest models to identify the dominant factors associated with the spatial variation of HZ denitrification. Our modeling results suggest that the combined effects of hydrologic variability in reaches and substrate availability influenced by land use are associated with the spatial variability of modeled HZ denitrification at the basin scale. Hyporheic exchange flux can explain most of spatial variation of denitrification amounts in reaches of different sizes, while among the reaches affected by different land uses, the combination of hyporheic exchange flux and stream dissolved organic carbon (DOC) concentration can explain the denitrification differences. Also, we can generalize that the most influential watershed and channel variables controlling denitrification variation are channel morphology parameters (median grain size (D50), stream slope), climate (annual precipitation and evapotranspiration), and stream DOC-related parameters (percent of shrub area). The modeling framework in our study can serve as a valuable tool to identify the limiting factors in removing excess nitrogen pollution in large river basins where direct measurement is often infeasible.
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页数:22
相关论文
共 64 条
  • [41] Upscaling Nitrogen Removal Capacity from Local Hotspots to Low Stream Orders' Drainage Basins
    Pinay, Gilles
    Peiffer, Stefan
    De Dreuzy, Jean-Raynald
    Krause, Stefan
    Hannah, David M.
    Fleckenstein, Jan H.
    Sebilo, Mathieu
    Bishop, Kevin
    Hubert-Moy, Laurence
    [J]. ECOSYSTEMS, 2015, 18 (06) : 1101 - 1120
  • [42] Riparian Corridors: A New Conceptual Framework for Assessing Nitrogen Buffering Across Biomes
    Piney, Gilles
    Bernal, Susana
    Abbott, Benjamin W.
    Lupon, Anna
    Marti, Eugenia
    Sabater, Francesc
    Krause, Stefan
    [J]. FRONTIERS IN ENVIRONMENTAL SCIENCE, 2018, 6
  • [43] Spatial Mapping of Riverbed Grain-Size Distribution Using Machine Learning
    Ren, Huiying
    Hou, Zhangshuan
    Duan, Zhuoran
    Song, Xuehang
    Perkins, William A.
    Richmond, Marshall C.
    Arntzen, Evan V.
    Scheibe, Timothy D.
    [J]. FRONTIERS IN WATER, 2020, 2
  • [44] Machine Learning Analysis of Hydrologic Exchange Flows and Transit Time Distributions in a Large Regulated River
    Ren, Huiying
    Song, Xuehang
    Fang, Yilin
    Hou, Z. Jason
    Scheibe, Timothy D.
    [J]. FRONTIERS IN ARTIFICIAL INTELLIGENCE, 2021, 4
  • [45] Seasonally dynamic nutrient modeling quantifies storage lags and time-varying reactivity across large river basins
    Schmadel, Noah M.
    Harvey, Judson W.
    Schwarz, Gregory E.
    [J]. ENVIRONMENTAL RESEARCH LETTERS, 2021, 16 (09)
  • [46] Schwarz Gregory E, 2018, USGS
  • [47] Seitzinger S, 2006, ECOL APPL, V16, P2064, DOI 10.1890/1051-0761(2006)016[2064:DALAWA]2.0.CO
  • [48] 2
  • [49] Comprehensive Analysis of Codon Usage Bias in Seven Epichloe Species and Their Peramine-Coding Genes
    Song, Hui
    Liu, Jing
    Song, Qiuyan
    Zhang, Qingping
    Han, Pei
    Nan, Zhibiao
    [J]. FRONTIERS IN MICROBIOLOGY, 2017, 8
  • [50] Drought Conditions Maximize the Impact of High-Frequency Flow Variations on Thermal Regimes and Biogeochemical Function in the Hyporheic Zone
    Song, Xuehang
    Chen, Xingyuan
    Stegen, James
    Hammond, Glenn
    Song, Hyun-Seob
    Dai, Heng
    Graham, Emily
    Zachara, John M.
    [J]. WATER RESOURCES RESEARCH, 2018, 54 (10) : 7361 - 7382