Modeling of Greenhouse Gas Emissions in Sugarcane Cultivation and Industry in Khuzestan Province

During the last few decades, greenhouse gases have affected the earth's radiation balance by keeping long-wavelength radiation in the atmosphere and increasing the air temperature (Bakht Firouz and Raeini Sarajaz, 2013). The agricultural sector has played an important role in emitting greenhouse gases through using fossil fuels, carbon losses through tillage operations, incineration of crop and forest trees, livestock, the use of livestock manure and construction, and the use of chemical fertilizers. So, the share of this sector in climate change is about 13.5%, of which 60% is related to nitrogen oxide, 39% to methane, and 1% to nitrogen dioxide (IPCC, 2007).
Considering the vast area under cultivation of sugarcane in Khuzestan province and the use of chemical fertilizers as well as the burning of its residues every year, it is necessary to determine the amount of greenhouse gas production in these areas. Therefore, the purpose of this study was to use the DAYCENT model to determine the amount of gas flux emitted in sugarcane cultivation in Khuzestan province and to determine the efficiency of this model with statistics of coefficient of determination, maximum error, root mean square error, model efficiency, and residual mass coefficient. The other purpose of this study is to compare the amount of global warming potential and production of methane, nitrous oxide, and nitric oxide emissions between Shustar and Abadan agro-industrial stations.