1 / 17

International Conference on Environmental Observations, Modeling and Information Systems

International Conference on Environmental Observations, Modeling and Information Systems ENVIROMIS-2004 17-25 July 2004, Akademgorodok, Tomsk, Russia Modeling of methane emission from natural wetlands and topography-based surface hydrology Krylova A.I. and V.N.Krupchatnikoff

kalia-park
Download Presentation

International Conference on Environmental Observations, Modeling and Information Systems

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. International Conference on Environmental Observations, Modeling and Information Systems ENVIROMIS-200417-25 July 2004, Akademgorodok, Tomsk, Russia Modeling of methane emission from natural wetlands and topography-based surface hydrology Krylova A.I. and V.N.Krupchatnikoff Institute of Computational Mathematics and Mathematical Geophysics of Siberian Branch of the Russian Academy of Sciences, pr. Ac.Lavrentieva, 6, Novosibirsk, 630090, Russia, Ph. (8-3832) 356524, e-mail:vkrup@ommfao1.sscc.ru, alla@climate.sscc.ru

  2. Introduction • There are two complementary approaches to determine global and regional wetland source strengths : • bottom-up approach: geographical coverage, spatial and temporal flux variations • a) using flux measurements and information on emission period and wetland areas to extrapolate to global and annual scales; • b) using a climate-sensitive model for methane emissions to extrapolate to the global scale; • top-down approach: inverse modeling • Information on temporal and spatial variation of methane fluxes from soils is deduced from observational data on CH4 mixing ratio in air, obtained on a global network of NOAA/CMDL field stations.

  3. atmosphere CH4 emission climate vegetation soil surface oxic soil CH4 oxidation plant-mediated transport water table soil temperature CH4 concentration ebullition diffusion CH4 production rooting depth NPP relative pore space anoxic soil soil depth Schematic of the one-dimensional methane model

  4. The methane emission model Model is based on the one-dimensional continuity equation within the entire soil/water column The diffusive flux Fdiff is calculated using Fick’s first law: The rate Qebull at which methane in the form of bubbles is removed from depth z is calculated:

  5. The methane emission model The rate Qplant(t,z) at which methane is removed by plants from depth z at time t is calculated from: The methane production rate Rprod(t,z) at time t and depth z is described as: The total methane flux to the atmosphere

  6. Boundary conditions at the lower boundary nsoil at the upper boundary u, where u is either the water table w(t) (if w(t) > ns) or the soil surface ns

  7. Results Figure shows a comparison between simulated and observed methane concentration profiles for the period between 1 June and 30 June 1992. Observational data were taken from Shannon and White [1994]. CH4 [ M ] CH4 [ M ]

  8. Coupled model of climate Atmospheric model (INM/RAS) (Alexeev V., E.Volodin, V.Galin, V. Dymnikov, V. Lykosov, 1998) • Terrain-following vertical coordinate (21 σ-levels) • Semi-implicit formulation of integration in time • Energy conservation finite-difference schemes (2.5°x 2.5°) • Convection (deep, middle, shallow; mass-flux) • Radiation (H2O, CO2, O3, CH4 , N2O, O2; 18 spectral bands for SR and 10 spectral bands for LR) • PBL (5 σ-levels) Land surface model (ICMMG/SB RAS) (V. Krupchatnikov, 1998) • The Land Surface Model considered in this report is an extension of thisearlier model development.The model is able to simulate: • terrestrial photosynthesis and respiration of CO2 from land surface, vegetation, methane emissions from natural wetlands, and surface hydrology,surface fluxes of energy and momentum. • Model is implemented globally, many surface type needed to be included.

  9. Atmospheric model soil temperature CH4 model NPP water table Land surface model • global data sets: • plant-mediated transport • rooting depth • soil depth • relative pore space global wetland distribution

  10. Global methane fluxes Results : Observations and Modeling

  11. Global distribution of peat-rich bogs from 50-600N (from Matthews, E., and I.Fung)

  12. Regional CH4 emission

  13. Tom River basin Data

  14. Spatial distribution of statistical moments of topographic index

  15. Upscaling function for obtaining 10’ equivalent of topographic index from its values for 30-arc-second DEM

  16. Conclusion • The model has been developed for studying the global natural emission of methane from the surface covered with bogs and lakes. • This model is a component of the biosphere model in the coupled model of climate. It has allowedusto evaluate global CH4fluxes from wetlands, seasonal change of fluxes for the basic areas of concentration peatlands in the northern latitudes. • Simulated results confirm the conclusions obtained on the basis of direct measurements, that Big Vasyugan Bog is the largest source of methane emission to the atmosphere. • Simulated results allow us to retrieve the character of the distribution and the amount of methane fluxes from the surface earth to the atmosphere. • The model can be considered as a basis for further research of interactions of the hydrological cycle, climate and emission of methane from the peat-bog ecosystems.

More Related