Soil Cycles of Elements simulator for Predicting TERrestrial regulation of greenhouse gases: SCEPTER v0.9 Academic Article uri icon

abstract

  • Abstract. The regulation of anthropogenic carbon dioxide (CO2) is an urgent issue continuously increasing atmospheric CO2 from burning fossil fuels is leading to significant warming and acidification of the surface ocean. Timely and effective measures to curb CO2 increases are thus needed in order to mitigate the potential degradation of natural ecosystems, food security, and livelihood caused by anthropogenic release of CO2. Enhanced rock weathering (ERW) on croplands and hinterlands may be one of the most economically and ecologically effective ways to sequester CO2 from the atmosphere, given that these soil environments generally favor mineral dissolution and because amending soils with crushed rock can result in a number of co-benefits to plant growth and crop yield. However, robust quantitative evaluation of CO2 capture by ERW in terrestrial soil systems that can lead to coherent policy implementation will require an ensemble of traceable mechanistic models that are optimized for simulating ERW in managed systems. Here, we present a new 1D reactive transport model SCEPTER. The model is designed to (1)mechanistically simulate natural weathering, including dissolution/precipitation of minerals along with uplift/erosion of solid phases, advection plus diffusion of aqueous phases and diffusion of gas phases, (2)allow targeted addition of solid phases at the soilatmosphere interface, including multiple forms of organic matter (OM) and crushed mineral/rock feedstocks, (3)implement a range of soil mixing regimes as catalyzed by soil surface fauna (e.g., bioturbation) or humans (e.g., various forms of tilling), and (4)enable calculation of solid mineral surface area based on controlled initial particle size distributions coupled to a shrinking core framework. Here we describe the model structure and intrinsic thermodynamic/kinetic data, provide a series of idealized simulations to demonstrate the basic behavior of the code, and evaluate the computational and mechanistic performance of the model against observational data. We also provide selected example applications to highlight model features particularly useful for future prediction of CO2 sequestration by ERW in soil systems.

published proceedings

  • GEOSCIENTIFIC MODEL DEVELOPMENT

author list (cited authors)

  • Kanzaki, Y., Zhang, S., Planavsky, N. J., & Reinhard, C. T.

complete list of authors

  • Kanzaki, Yoshiki||Zhang, Shuang||Planavsky, Noah J||Reinhard, Christopher T

publication date

  • January 1, 2022 11:11 AM