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Sunday, 16 October 2016
Dynamic Modeling of the Environmental and Economic Aspects of Bio-Resources from Agricultural and Forestry Wastes
World Multidisciplinary Earth Sciences Symposium, WMESS 2015
Open Access, Creative Commons license
Institute of Energy Systems and Environment, Riga Technical University, Azenes Street 12/1, Riga, Latvia, LV-1048
Available online 7 September 2015.
The aim of the paper is to present a dynamic mathematical model developed for assessing the potential greenhouse gas (GHG) emissions and economic impact associated with bio-resources from agricultural and forestry wastes. Agriculture is directly associated with climate change issues on environmental, economic and social dimensions. Agricultural activities emit greenhouse gases that, on their turn, influence the agricultural productivity. A part of the agricultural GHG emissions arises from crop production, crop residue decomposition and burning. Conversely, forests work as removers of the GHG emissions from the atmosphere. However, the increasing wood felling generates forestry waste that gradually decomposes, thus also generating emissions. To avoid these emissions and to gain an added value, the agricultural and forestry wastes can be turned into valuable resource. In this study, a mathematical model is developedfor the simulation of the interaction between agricultural and forestry activities, generated waste and their efficient use andGHG emissions. Several scenarios are developed where application of the waste as a resource for fuel is assessed with respect to environmental and economic aspects. We build a model where system dynamics modeling approach is used. The results show the fuel energycan potentially be generated from agricultural and forestry residues and how net GHG emissions change depending on the selected amount of removed waste materials.
Dace, E., Muizniece, I., Blumberga, A., Kaczala, F., 2015. Searching for solutions to mitigate greenhouse gas emissions by agricultural policy decisions - application of system dynamics modeling for the case of Latvia. Science of the Total Environment, 527-528: 80-90.