Articles | Volume 14, issue 5
https://doi.org/10.5194/esd-14-897-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esd-14-897-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Impacts of anthropogenic water regulation on global riverine dissolved organic carbon transport
Yanbin You
State Key Laboratory of Numerical Modeling for Atmospheric Sciences
and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing 100029, China
College of Earth and Planetary Sciences, University of Chinese Academy
of Sciences, Beijing 100049, China
State Key Laboratory of Numerical Modeling for Atmospheric Sciences
and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing 100029, China
College of Earth and Planetary Sciences, University of Chinese Academy
of Sciences, Beijing 100049, China
State Key Laboratory of Numerical Modeling for Atmospheric Sciences
and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing 100029, China
State Key Laboratory of Hydrology–Water Resources and Hydraulic
Engineering, Nanjing Hydraulic Research Institute, Nanjing 210029, China
Longhuan Wang
State Key Laboratory of Numerical Modeling for Atmospheric Sciences
and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing 100029, China
Ruichao Li
State Key Laboratory of Numerical Modeling for Atmospheric Sciences
and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing 100029, China
Heng Yan
State Key Laboratory of Numerical Modeling for Atmospheric Sciences
and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing 100029, China
College of Earth and Planetary Sciences, University of Chinese Academy
of Sciences, Beijing 100049, China
Yuhang Tian
State Key Laboratory of Numerical Modeling for Atmospheric Sciences
and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing 100029, China
College of Earth and Planetary Sciences, University of Chinese Academy
of Sciences, Beijing 100049, China
Si Chen
State Key Laboratory of Numerical Modeling for Atmospheric Sciences
and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese
Academy of Sciences, Beijing 100029, China
College of Earth and Planetary Sciences, University of Chinese Academy
of Sciences, Beijing 100049, China
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Yun Liu, Eugenia Kalnay, Ning Zeng, Ghassem Asrar, Zhaohui Chen, and Binghao Jia
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2017-888, https://doi.org/10.5194/acp-2017-888, 2017
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Yujin Zeng, Zhenghui Xie, Yan Yu, Shuang Liu, Linying Wang, Binghao Jia, Peihua Qin, and Yaning Chen
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B. Jia, J. Liu, and Z. Xie
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X. Tian, Z. Xie, Y. Liu, Z. Cai, Y. Fu, H. Zhang, and L. Feng
Atmos. Chem. Phys., 14, 13281–13293, https://doi.org/10.5194/acp-14-13281-2014, https://doi.org/10.5194/acp-14-13281-2014, 2014
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A new carbon cycle data assimilation system (Tan-Tracker) is developed based on an advanced hybrid assimilation approach, as a part of the preparation for the launch of the Chinese carbon dioxide observation satellite (TanSat). Tan-Tracker adopts a joint data assimilation framework to simultaneously estimate CO2 concentrations and CFs and thus gradually reduce the uncertainty in the CO2 concentration evolution through continuously fitting model CO2 concentration simulations to the observations.
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Cited articles
Aitkenhead, J. A. and McDowell, W. H.: Soil C:N ratio as a predictor of
annual riverine DOC flux at local and global scales, Global Biogeochem.
Cy., 14, 127–138, https://doi.org/10.1029/1999GB900083, 2000.
Cai, W.: Estuarine and Coastal Ocean Carbon Paradox: CO2 Sinks or Sites of
Terrestrial Carbon Incineration?, Annu. Rev. Mar. Sci., 3, 123–145,
https://doi.org/10.1146/annurev-marine-120709-142723, 2011.
Camino-Serrano, M., Guenet, B., Luyssaert, S., Ciais, P., Bastrikov, V., De
Vos, B., Gielen, B., Gleixner, G., Jornet-Puig, A., Kaiser, K., Kothawala,
D., Lauerwald, R., Peñuelas, J., Schrumpf, M., Vicca, S., Vuichard, N.,
Walmsley, D., and Janssens, I. A.: ORCHIDEE-SOM: modeling soil organic
carbon (SOC) and dissolved organic carbon (DOC) dynamics along vertical soil
profiles in Europe, Geosci. Model Dev., 11, 937–957,
https://doi.org/10.5194/gmd-11-937-2018, 2018.
Cole, J. J., Prairie, Y. T., Caraco, N. F., McDowell, W. H., Tranvik, L. J.,
Striegl, R. G., Duarte, C. M., Kortelainen, P., Downing, J. A., Middelburg,
J. J., and Melack, J.: Plumbing the Global Carbon Cycle: Integrating Inland
Waters into the Terrestrial Carbon Budget, Ecosystems, 10, 172–185,
https://doi.org/10.1007/s10021-006-9013-8, 2007.
Dai, M., Yin, Z., Meng, F., Liu, Q., and Cai, W.-J.: Spatial distribution of
riverine DOC inputs to the ocean: an updated global synthesis, Curr.
Opin. Environ. Sustain., 4, 170–178,
https://doi.org/10.1016/j.cosust.2012.03.003, 2012.
Drake, T. W., Raymond, P. A., and Spencer, R. G. M.: Terrestrial carbon
inputs to inland waters: A current synthesis of estimates and uncertainty,
Limnol. Oceanogr. Lett., 3, 132–142, https://doi.org/10.1002/lol2.10055, 2018.
Fabre, C., Sauvage, S., Probst, J.-L., and Sánchez-Pérez, J. M.:
Global-scale daily riverine DOC fluxes from lands to the oceans with a
generic model, Glob. Planet. Change, 194, 103294,
https://doi.org/10.1016/j.gloplacha.2020.103294, 2020.
Futter, M. N., Butterfield, D., Cosby, B. J., Dillon, P. J., Wade, A. J.,
and Whitehead, P. G.: Modeling the mechanisms that control in-stream
dissolved organic carbon dynamics in upland and forested catchments:
MODELING SURFACE WATER DOC, Water Resour. Res., 43, W02424,
https://doi.org/10.1029/2006WR004960, 2007.
Gerber, S., Hedin, L. O., Oppenheimer, M., Pacala, S. W., and Shevliakova,
E.: Nitrogen cycling and feedbacks in a global dynamic land model, Global
Biogeochem. Cy., 24, GB1001, https://doi.org/10.1029/2008GB003336, 2010.
Gommet, C., Lauerwald, R., Ciais, P., Guenet, B., Zhang, H., and Regnier,
P.: Spatiotemporal patterns and drivers of terrestrial dissolved organic
carbon (DOC) leaching into the European river network, Earth Syst. Dynam.,
13, 393–418, https://doi.org/10.5194/esd-13-393-2022, 2022.
Hanasaki, N., Kanae, S., and Oki, T.: A reservoir operation scheme for
global river routing models, J. Hydrol., 327, 22–41,
https://doi.org/10.1016/j.jhydrol.2005.11.011, 2006.
Harrison, J. A., Caraco, N., and Seitzinger, S. P.: Global patterns and
sources of dissolved organic matter export to the coastal zone: Results from
a spatially explicit, global model: Global Dissolved Organic Matter Export,
Global Biogeochem. Cy., 19, GB4S04,
https://doi.org/10.1029/2005GB002480, 2005.
Janssens, I. A. and Pilegaard, K.: Large seasonal changes in Q10 of soil
respiration in a beech forest: SHORT-TERM Q10 OF SOIL RESPIRATION, Glob.
Change Biol., 9, 911–918,
https://doi.org/10.1046/j.1365-2486.2003.00636.x, 2003.
Lawrence, D., Fisher, R., and Koven, C.: Technical Description of version
5.0 of the Community Land Model (CLM), NCAR, NCAR, Boulder, US, CO, National Center for Atmospheric Research, 2018.
Lehner, B., Liermann, C. R., Revenga, C., Vörösmarty, C., Fekete,
B., Crouzet, P., Döll, P., Endejan, M., Frenken, K., Magome, J.,
Nilsson, C., Robertson, J. C., Rödel, R., Sindorf, N., and Wisser, D.:
High-resolution mapping of the world's reservoirs and dams for sustainable
river-flow management, Front. Ecol. Environ., 9,
494–502, https://doi.org/10.1890/100125, 2011.
Li, H., Wigmosta, M. S., Wu, H., Huang, M., Ke, Y., Coleman, A. M., and
Leung, L. R.: A Physically Based Runoff Routing Model for Land Surface and
Earth System Models, J. Hydrometeorol., 14, 808–828,
https://doi.org/10.1175/JHM-D-12-015.1, 2013.
Li, M., Peng, C., Zhou, X., Yang, Y., Guo, Y., Shi, G., and Zhu, Q.:
Modeling Global Riverine DOC Flux Dynamics From 1951 to 2015, J. Adv. Model.
Earth Syst., 11, 514–530, https://doi.org/10.1029/2018MS001363, 2019.
Liao, C., Zhuang, Q., Leung, L. R., and Guo, L.: Quantifying Dissolved
Organic Carbon Dynamics Using a Three-Dimensional Terrestrial Ecosystem
Model at High Spatial-Temporal Resolutions, J. Adv. Model. Earth Syst., 11,
4489–4512, https://doi.org/10.1029/2019MS001792, 2019.
Liu, S., Xie, Z., Zeng, Y., Liu, B., Li, R., Wang, Y., Wang, L., Qin, P.,
Jia, B., and Xie, J.: Effects of anthropogenic nitrogen discharge on
dissolved inorganic nitrogen transport in global rivers, Glob. Change Biol.,
25, 1493–1513, https://doi.org/10.1111/gcb.14570, 2019.
Liu, S., Xie, Z., Liu, B., Wang, Y., Gao, J., Zeng, Y., Xie, J., Xie, Z.,
Jia, B., Qin, P., Li, R., Wang, L., and Chen, S.: Global river water warming
due to climate change and anthropogenic heat emission, Glob. Planet.
Change, 193, 103289, https://doi.org/10.1016/j.gloplacha.2020.103289, 2020.
Liu, S., Maavara, T., Brinkerhoff, C. B., and Raymond, P. A.: Global
Controls on DOC Reaction Versus Export in Watersheds: A Damköhler Number
Analysis, Global Biogeochem. Cy., 36, e2021GB007278,
https://doi.org/10.1029/2021GB007278, 2022.
Ludwig, W., Probst, J.-L., and Kempe, S.: Predicting the oceanic input of
organic carbon by continental erosion, Global Biogeochem. Cy., 10,
23–41, https://doi.org/10.1029/95GB02925, 1996.
Maavara, T., Lauerwald, R., Regnier, P., and Van Cappellen, P.: Global
perturbation of organic carbon cycling by river damming, Nat. Commun., 8,
15347, https://doi.org/10.1038/ncomms15347, 2017.
Meybeck, M.: Carbon, nitrogen, and phosphorus transport by world rivers,
Am. J. Sci., 282, 401–450,
https://doi.org/10.2475/ajs.282.4.401, 1982.
Meybeck, M. and Ragu, A.: GEMS-GLORI world river discharge database, PANGAEA,
https://doi.org/10.1594/PANGAEA.804574, 2012.
Neff, J. C. and Asner, G. P.: Dissolved Organic Carbon in Terrestrial
Ecosystems: Synthesis and a Model, Ecosystems, 4, 29–48,
https://doi.org/10.1007/s100210000058, 2001.
Oleson, K. W., Lawrence, D. M., and Bonan, G. B.: Technical Description of
version 4.5 of the Community Land Model (CLM), NCAR, NCAR, Boulder, US, CO, National Center for Atmospheric Research,
2013.
Parton, W. J., Stewart, J. W. B., and Cole, C. V.: Dynamics of C, N, P and S
in Grassland Soils: A Model, Biogeochemistry, 5, 109–131,
https://doi.org/10.1007/BF02180320, 1988.
Regnier, P., Friedlingstein, P., Ciais, P., Mackenzie, F. T., Gruber, N.,
Janssens, I. A., Laruelle, G. G., Lauerwald, R., Luyssaert, S., Andersson,
A. J., Arndt, S., Arnosti, C., Borges, A. V., Dale, A. W., Gallego-Sala, A.,
Goddéris, Y., Goossens, N., Hartmann, J., Heinze, C., Ilyina, T., Joos,
F., LaRowe, D. E., Leifeld, J., Meysman, F. J. R., Munhoven, G., Raymond, P.
A., Spahni, R., Suntharalingam, P., and Thullner, M.: Anthropogenic
perturbation of the carbon fluxes from land to ocean, Nat. Geosci., 6,
597–607, https://doi.org/10.1038/ngeo1830, 2013.
Ren, W., Tian, H., Cai, W.-J., Lohrenz, S. E., Hopkinson, C. S., Huang,
W.-J., Yang, J., Tao, B., Pan, S., and He, R.: Century-long increasing trend
and variability of dissolved organic carbon export from the Mississippi
River basin driven by natural and anthropogenic forcing: Export of DOC from
the Mississippi River, Global Biogeochem. Cy., 30, 1288–1299,
https://doi.org/10.1002/2016GB005395, 2016.
Seitzinger, S. P., Harrison, J. A., Dumont, E., Beusen, A. H. W., and
Bouwman, A. F.: Sources and delivery of carbon, nitrogen, and phosphorus to
the coastal zone: An overview of Global Nutrient Export from Watersheds
(NEWS) models and their application, Global Biogeochem. Cy., 19, GB4S01,
https://doi.org/10.1029/2005GB002606, 2005.
Siebert, S., Henrich, V., Frenken, K., and Burke, J.: Update of the digital
global map of irrigation areas to version 5, Institute of Crop Science and Resource Conservation, University of Bonn, Germany,
https://doi.org/10.13140/2.1.2660.6728, 2013.
Smith, S. V. and Hollibaugh, J. T.: Coastal metabolism and the oceanic
organic carbon balance, Rev. Geophys., 31, 75–89,
https://doi.org/10.1029/92RG02584, 1993.
Terrestrial Sciences Section (TSS): Climate and Global Dynamics Division (CGD) at the National Center for Atmospheric Research (NCAR), CESM Land Model Working Group, CESM Biogeochemistry Working Group [code], CLM5 (Community Land Model version 5.0), https://www.cesm.ucar.edu/models/clm (last access: 1 June 2021), 2019.
Tian, H., Yang, Q., Najjar, R. G., Ren, W., Friedrichs, M. A. M., Hopkinson,
C. S., and Pan, S.: Anthropogenic and climatic influences on carbon fluxes
from eastern North America to the Atlantic Ocean: A process-based modeling
study, J. Geophys. Res.-Biogeo., 120, 757–772,
https://doi.org/10.1002/2014JG002760, 2015.
Tranvik, L. J. and Jansson, M.: Terrestrial export of organic carbon,
Nature, 415, 861–862, https://doi.org/10.1038/415861b, 2002.
Viovy, N.: CRUNCEP Version 7 – Atmospheric Forcing Data for the Community
Land Model, Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory, https://doi.org/10.5065/PZ8F-F017, 2018.
van Hoek, W. J., Wang, J., Vilmin, L., Beusen, A. H. W., Mogollón, J.
M., Müller, G., Pika, P. A., Liu, X., Langeveld, J. J., Bouwman, A. F.,
and Middelburg, J. J.: Exploring Spatially Explicit Changes in Carbon
Budgets of Global River Basins during the 20th Century, Environ. Sci.
Technol., 55, 16757–16769, https://doi.org/10.1021/acs.est.1c04605, 2021.
van Vliet, M. T. H., Yearsley, J. R., Franssen, W. H. P., Ludwig, F.,
Haddeland, I., Lettenmaier, D. P., and Kabat, P.: Coupled daily streamflow
and water temperature modelling in large river basins, Hydrol. Earth
Syst. Sci., 16, 4303–4321, https://doi.org/10.5194/hess-16-4303-2012,
2012.
Wang, Y., Xie, Z., Liu, S., Wang, L., Li, R., Chen, S., Jia, B., Qin, P.,
and Xie, J.: Effects of Anthropogenic Disturbances and Climate Change on
Riverine Dissolved Inorganic Nitrogen Transport, J. Adv.
Model. Earth Syst., 12, e2020MS002234,
https://doi.org/10.1029/2020MS002234, 2020.
Wu, H., Peng, C., Moore, T. R., Hua, D., Li, C., Zhu, Q., Peichl, M., Arain,
M. A., and Guo, Z.: Modeling dissolved organic carbon in temperate forest
soils: TRIPLEX-DOC model development and validation, Geosci. Model Dev., 7,
867–881, https://doi.org/10.5194/gmd-7-867-2014, 2014.
Xie, Z., Wang, L., Wang, Y., Liu, B., Li, R., Xie, J., Zeng, Y., Liu, S.,
Gao, J., Chen, S., Jia, B., and Qin, P.: Land Surface Model CAS-LSM: Model
Description and Evaluation, J. Adv. Model. Earth Syst.,
12, e2020MS002339, https://doi.org/10.1029/2020MS002339, 2020.
Yao, Y., Tian, H., Pan, S., Najjar, R. G., Friedrichs, M. A. M., Bian, Z.,
Li, H., and Hofmann, E. E.: Riverine Carbon Cycling Over the Past Century in
the Mid-Atlantic Region of the United States, J. Geophys. Res.-Biogeo., 126, e2020JG005968,
https://doi.org/10.1029/2020JG005968, 2021.
Yearsley, J.: A semi-Lagrangian water temperature model for
advection-dominated river systems, Water Resour. Res., 45, W12405, https://doi.org/10.1029/2008WR007629, 2009.
Zeng, Y., Xie, Z., Yu, Y., Liu, S., Wang, L., Zou, J., Qin, P., and Jia, B.:
Effects of anthropogenic water regulation and groundwater lateral flow on
land processes, J. Adv. Model. Earth Syst., 8,
1106–1131, https://doi.org/10.1002/2016MS000646, 2016.
Zeng, Y., Xie, Z., and Zou, J.: Hydrologic and Climatic Responses to Global
Anthropogenic Groundwater Extraction, J. Clim., 30, 71–90,
https://doi.org/10.1175/JCLI-D-16-0209.1, 2017.
Zhang, Y.: The review of the research of the riverine organic carbon cycle,
Journal of Henan Polytechnic University, Nat. Sci., 31, 344–351,
https://doi.org/10.16186/j.cnki.1673-9787.2012.03.006, 2012.
Zou, J., Xie, Z., Yu, Y., Zhan, C., and Sun, Q.: Climatic responses to
anthropogenic groundwater exploitation: a case study of the Haihe River
Basin, Northern China, Clim. Dynam., 42, 2125–2145,
https://doi.org/10.1007/s00382-013-1995-2, 2014.
Zou, J., Xie, Z., Zhan, C., Qin, P., Sun, Q., Jia, B., and Xia, J.: Effects
of anthropogenic groundwater exploitation on land surface processes: A case
study of the Haihe River Basin, northern China, J. Hydrol., 524,
625–641, https://doi.org/10.1016/j.jhydrol.2015.03.026, 2015.
Short summary
We investigate the impacts of anthropogenic water regulation on riverine DOC transport by the developed model. The results suggested that DOC transport in most rivers was mainly influenced by reservoir interception and surface water withdrawal. The impact of human water regulation on riverine DOC exports grew year by year. In general, this study developed an effective scheme to simulate DOC exports from terrestrial to aquatic systems, which is important for estimating global carbon budgets.
We investigate the impacts of anthropogenic water regulation on riverine DOC transport by the...
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