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

Document Type : Research Paper


1 Department of Climatology, Faculty of Geography and Environmental Sciences, Hakim Sabzevari University, Sabzevar, Iran.

2 Research institute of Forests and Rangelands,Agricultural Research,Education and Extension Organization (AREEO) , Tehran, Iran.

3 Department of land evaluation, Soil and WaterResearch Institute, Agricultural Research, Education and Extension Organization (AREE), Tehran,, Iran.


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.


Main Subjects

  • Bakht Firouz, A., and Raeini Sarajaz, M. 2013. Effect of pady field drainage systems on methane greenhouse gas emission reduction. Iranian Water and Soil Research; 44 (1): 1-10. (In Persian).


  • Dashtaki, S. G., Homaee, M., and Khodaverdiloo, H. 2010. Derivation and validation of pedotransfer functions for estimating soil water retention curve using a variety of soil data. Soil Use and Management; 26(1): 68-74.


  • Dastan, S. , Soltani, A. , Noormohamadi, Gh. , Madani, H. , and Yadi, R. 2016. Estimation of carbon footprint and global warming potential in rice production systems, Journal of Environmental Sciences, 14 (1): 19-28. (In Persian).


  • Ewert, F., Rounsevell, M.D.A., Reginster, I., Metzger, M.J. and Leemans, R., 2005. Future scenarios of European agricultural land use: I. Estimating changes in crop productivity. Agriculture, Ecosystems & Environment107(2-3), pp.101-116.


  • Fitton, N.,  Bindi, M., Brilli, L., Chicota, R., Dibari, C., Fuchs, K., Huguenin-Elie, O., Klumpp, K., Lieffering, M., Lüscher, A., Martin, R., McAuliffe, R., Merbold, L., Newton, P., Rees, R. M.,  Smith, P., Topp, C .F. E., and Snow, V. 2019. Modelling biological N fixation and grass-legume dynamics with process-based biogeochemical models of varying complexity. European Journal of Agronomy; 106:58-66.


  • Hartman, M., Merchant, E. R., Parton, W. J., Gutmann, M. P., Lutz, S., and Williams, S. A. 2011. Impact of historical land-use changes on greenhouse gas exchange in the U.S. Great Plains, 1883–2003, Ecological Applications; 21(4):1105–1119.


  • Hartman, D., Parton, W. J., Del Grosso, S. J., Easter, M., Hendryx,  J., Hilinski, T., Kelly, R., Keough, C. A., Killian, K., Lutz, S., Marx, E., McKeown, R.,  Ogle, S., Ojima, D. S., Paustian,  K., Swan, A., and Williams, S. 2016. DayCent ecosystem model, Colorado state university.


  • Intergovernmental Panel on Climate Change (IPCC. Climate change 2001: Impacts, adaptation, and vulnerability. 2001. (Eds J.J. McCarthy, O.F. Canziani, N.A. Leary, D.J. Dokken and K.S. White) 1032 pp. Cambridge university press, Cambridge, UK.


  • Intergovernmental Panel on Climate Change (IPCC). 2007. Summary for policy makers. The physical science basis. Cambridge University. Press; 165-177.


  • Khodaverdiloo, H., Homaee, M., Genuchten, M. T., and Dashtaki, S. G. 2011. Deriving and validating pedotransfer functions for some calcareous soils. Journal of Hydrology; 399(1): 93-99.


  • Koocheki, A. and Kamali, G.H., 2010. Climate change and rainfed wheat production in Iran. Iranian Journal of Field Crops Research8(3), pp.508-520. (In Persian)


  • Kottegoda, N. T., and Rosso, R. 2008. Applied statistics for civil and environmental engineers: Wiley-Blackwell.


  • Lal, R., 2004. Carbon emission from farm operations. Environment international30(7), pp.981-990.


  • Moradi-Majd, N., Fallah-Ghalhari, G. and Chatrenor, M., 2022. Estimation of greenhouse gas emission flux from agricultural lands of Khuzestan province in Iran. Environmental Monitoring and Assessment194(11), p.811.


  • Moradi, R., and Pour Ghasemian, N. 2018. Investigation of greenhouse gas emissions and global warming potential due to the use of chemical inputs in agriculture of important crops in Kerman province: Journal of Agricultural Ecology; 9 (2): 405 -389. (In Persian).


  • Nikbakht Shahbazi, A. R. , 2018. Investigation of changes in precipitation and evapotranspiration of agricultural products in Khuzestan province under the influence of climate change, Journal of Soil and Water Conservation Research, 25 (6): 123- 139. (In Persian).


  • Pourkhbaz, A. 2002. The major environmental disturbances of the present age (acid rain, ozone layer, global warming), compilation and translation. Astan Quds Razavi Publications, Mashhad, Iran. (In Persian).


  • Safari, M., and Abdi, R. 2016. Comparison of biogas production from canola and wheat residues in combination with animal manure, Journal of Agricultural Machinery; 6 (2): 476-487. (In Persian).


  • Robertson, G. P., Paul, E. A., and Harwood, R. R. 2000. Greenhouse gases in intensive agriculture: contributions of individual gases to the radiative forcing of the atmosphere. Science; 289: 1922-1935.


  • Tzilivakis, J. , Jaggard, K. , Lewis, K. A. , May, M. , and Warner, D. J. 2005. Environmental impact and economic assessment for UK sugar beet production systems. Agriculture, Ecosystems & Environment; 2005;107:341-358.


  • Thelen, K.D., Fronning, B.E., Kravchenko, A., Min, D.H. and Robertson, G.P., 2010. Integrating livestock manure with a corn–soybean bioenergy cropping system improves short-term carbon sequestration rates and net global warming potential. Biomass and Bioenergy34(7), pp.960-966.


  • Weiler, D.A., Tornquist, C.G., Zschornack, T., Ogle, S.M., Carlos, F.S. and Bayer, C., 2018. Daycent simulation of methane emissions, grain yield, and soil organic carbon in a subtropical paddy rice system. Revista Brasileira de Ciência do Solo42. Pp.1-12.
Volume 46, Issue 2
September 2023
Pages 45-57
  • Receive Date: 10 September 2021
  • Revise Date: 16 September 2022
  • Accept Date: 19 September 2022
  • Publish Date: 23 August 2023