Predicting Soil Dynamics in Arable Land of Andisol Using the SOILCO2 Model
Publication: Journal of Hazardous, Toxic, and Radioactive Waste
Volume 18, Issue 2
Abstract
Recently, carbon capture and storage by soils is recognized as an important function of agricultural fields. When discussing global warming mitigation such as proper agricultural practices and/or an appropriate depth of composting in agricultural lands for soil carbon storage, not only efflux, but also profiles of concentrations in soil air, are important. This study evaluated the performance of the SOILCO2 model in predicting soil dynamics, especially concentrations at various depths in an arable bare land of Andisol. We attempted to experimentally determine two soil parameters required for the production model, the optimal production rate and the parameter of a depth-dependent production function by measuring efflux from the surface and a vertical distribution of concentration of dissolved organic carbon, respectively. Soil concentrations, water contents and temperatures were continuously monitored for approximately one year at three different depths, and simulated results were compared with the observed data for model validation. We concluded that, for the upper soil layer (from the surface to approximately 20 cm in depth), the two soil parameters were properly determined, and soil dynamics in arable bare land could be well predicted by using the SOILCO2 model. To improve simulation results of concentrations, especially in deeper layers, it may be necessary to consider the biodegradability of dissolved organic carbon.
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Acknowledgments
This study was supported by Japan Society for the Promotion of Science (JSPS) Grant-in-Aid for Scientific Research [(B) 24380130], JSPS Research Fellowships for Young Scientists, Research Program on Climate Change Adaptation (RECCA) of Ministry of Education, Culture, Sports, Science and Technology. We appreciate Mr. S. Hatano, Mr. H. Kubota and Mr. K. Yatsuda of ISAS-UT for their help in using the field and meteorological data. We would also like to thank Prof. Simunek for his help in using modified version of SOILCO2 program.
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Published In
Journal of Hazardous, Toxic, and Radioactive Waste
Volume 18 • Issue 2 • April 2014
Copyright
© 2014 American Society of Civil Engineers.
History
Received: Oct 23, 2012
Accepted: Jun 10, 2013
Published online: Jan 20, 2014
Published in print: Apr 1, 2014
Discussion open until: Jun 20, 2014
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