Japan Geoscience Union Meeting 2021

Presentation information

[J] Oral

M (Multidisciplinary and Interdisciplinary) » M-IS Intersection

[M-IS11] Biogeochemistry

Fri. Jun 4, 2021 10:45 AM - 12:15 PM Ch.16 (Zoom Room 16)

convener:Keisuke Koba(Center for Ecological Research, Kyoto University), Hideaki Shibata(Field Science Center fot Northern Biosphere, Hokkaido University), Naohiko Ohkouchi(Japan Agency for Marine-Earth Science and Technology), Youhei Yamashita(Faculty of Environmental Earth Science, Hokkaido University), Chairperson:Keisuke Koba(Center for Ecological Research, Kyoto University), Hideaki Shibata(Field Science Center fot Northern Biosphere, Hokkaido University)

11:45 AM - 12:00 PM

[MIS11-11] Evaluation of global riverine N2 and N2O emissions using biogeochemical model

*Kazuya Nishina1, Akihiko Ito1 (1.NIES National Institute of Environmental Studies)

Keywords:Global nitrogen cycling, Riverine N2O emission

A large amount of anthropogenic reactive nitrogen (Nr) is released to terrestrial ecosystems from chemical fertilizers by the Haber-Bosch process and fossil fuel combustion and the increase of wastewater due to urbanization. Anthropogenic Nr is absorbed and accumulated in terrestrial ecosystems and released to the atmosphere in gaseous forms via biotic and abiotic processes (i.e., nitrification and denitrification). In addition, with the movement of water, Nr is transported from the land to the ocean via rivers, causing eutrophication especially in coastal areas. During transport from land to ocean, some of the reactive nitrogen is released to the atmosphere as N2 and N2O through denitrification processes, but the flux is highly uncertain due to the limitations of difficult observation. For example, 190 Tg-N per year is denitrified from rivers according to the estimates presented in Gruber & Galloway (2009). This estimate was estimated using a global-scale distributed hydrological model by Seitzinger et al. (2005). In this study, spatial details are basin-based, and due to the lack of observations, there has not been sufficient validation of the observed data. In this study, we developed a global river denitrification model using a grid-based global river routing model. Using the observed data of inorganic nitrogen fluxes in the river mouths, the parameters related to denitrification were estimated by Bayesian inference with MCMC. In this study, we report the global inorganic nitrogen transport and river denitrification emissions (N2, N2O) from 1961 to 2010 using this model.