Evaluation of CH4, NO and NO2 emission from agricultural lands (Case study, Khuzestan province)

Document Type : Original Article

Authors

1 department of hakim sabzevari university

2 Department of Geography, Faculty of Geography and Environmental Sciences, Hakim Sabzevari University, Sabzevar, Iran

3 Department of Chamran university of Ahvaz

Abstract

The purpose of this study is estimation of CH4, N2O and NO emission from agricultural lands, including citrus, wheat, date, sugarcane and rice in Khuzestan province, Iran. The actual concentration of each gas was determined by sampling from study sites. The DAYCENT model was used to simulate corresponding values of emission from each farm in selected sites. According to results, the highest and lowest annual amount of N2O emission were obtained in wheat and sugarcane farms of Shooshtar, 0.10 t.ha-1 and 0.002 t.ha-1, respectively. Similarly, the highest and lowest amounts of NO emission were observed in citrus orchards of Dezful and Shooshtar sugarcane fields, i.e. 0.152 and 0.004 t/ha, respectively. Average CH4 emission was highest for the paddy fields of Baghmalek and lowest in Abadan sugarcane farms with 1.369 and 0.12 t.ha-1.year-1, respectively. Considering the major contribution of agriculture in emission of greenhouse gasses, further studies in other regions of the country is recommended.

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Begum, K., Kuhnert, M., Yeluripati, J., Ogle, S., William Parton, W., Kader, M.A., Smith, P. 2018. Model based regional estimates of soil organic carbon sequestration and greenhouse gas mitigation potentials from rice croplands in Bangladesh, Land, 7, 82. doi:10.3390/land 7030082.
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., 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.
Gurung, R. B., Ogle, S. M., Breidt, F. J., Williams, S., Zhang, Y., Del Grosso, S. J., Parton W.J., Paustian, K. 2021. Modeling ammonia volatilization from urea application to agricultural soils in the DayCent model, Nutrient Cycling in Agroecosystems, 119, 259–273.
Hartman, Melannie 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., Williams, S. 2016. DayCent Ecosystem Model, Colorado State University.
Intergovernmental Panel on Climate Change (IPCC). 2001. Climate Change 2001, Impacts, Adaptation, and Vulnerability (Eds J.J. McCarthy, O.F. Canziani, N.A. Leary, D.J. Dokken and K.S. White) 1032 pp. Cambridge University Press, Cambridge, UK.
Kochaki, A. R., Kamali, A. 2009. Climate Change and Rainfed Wheat Production in Iran. Iranian Journal of Agricultural Research, 8(3), 508-520. (In Farsi)
Lemma, B., Williams, S., Paustian, K. 2021. Long term soil carbon sequestration potential of smallholder croplands in southern Ethiopia with DAYCENT model. Journal of Environmental Management, 294, 112893. doi: 10.1016/j.jenvman.2021.112893.
Nyawira, S.S., Hartman, M.D., Nguyen, T.H., Margenot, A.J., Kihara, J., Paul, B.K., Williams, S., Bolo, P., Sommer, R. 2021. Simulating soil organic carbon in maize-based systems under improved agronomic management in Western Kenya. Soil and Tillage Research, 11, 105000.
Moharri, A. 2003. The Role of Domestic Animals in the Production of N2O as a Greenhouse Gas. Third Regional Climate Change Conference, Isfahan, Iran Meteorological Organization, University of Isfahan. (In Farsi)
Motallebi, M., Ghorbani, M., Danesh, Sh., Darijani, A., Koocheki, A.R. Danesh Mesgaran, M. 2009. Estimation and Valuation of greenhouse gases in Khorasan Razavi Dairy farms and recognition of its influencing factors (Case Study Mashhad). Master of Science Thesis, University of Mashhad.
Parhizgar, A., Mozaffari, M.M. 2016. Assessing the Impacts of Greenhouse Gas Emissions and Climate Change on the Supply and Demand of Irrigation Water and Agricultural Production in Qazvin Watersheds, Journal of Watershed Management, 7(14), 141-151. (In Farsi)
Shakerian, M., Yousefi, A., Amini, A. M. 2017. The Effect of Improving Energy Efficiency on Reducing Carbon Dioxide Emissions in Cucumber Greenhouses. Science and Technology of Greenhouse Culture, 8 (3), 13-24. (In Farsi)
Bozorgomahri, K., Ismaili, S., Vesal, S. 2012. Investigating the Interactions of Climate (Greenhouse Gas and Methane) and Agriculture (Rice Product). the First National Conference on Climate Change and Food Security. (In Farsi)
Straube, J. R., Chen, M., Parton, W. J., Asso, Sh., Liu, Y. A., Ojima, D. S., Gao, W. 2018. Development of the DayCent-Photo model and integration of variable photosynthetic capacity. Frontiers of Earth Science,12(4), 765-778.
The Balance Sheet of Energy. 2014. Department of Energy, Power and Energy Affairs.
Weiler, D. A., Tornquist, C. G., Zschornack, T., Ogle, S. M., Carlos, F.S., 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 Solo, dio:10.1590/18069657rbcs20170251.
Yao, Z., Zheng, X., Xie, B., Mei, B., Wang, R., Butterbach-Bahl, K., Zhu, J., Yin, R., 2009. Tillage and crop residue management significantly affects N-trace gas emissionsduring the non-rice season of a subtropical rice-wheat rotation. Soil Biology and Biochemistry 41, 2131–2140.
Yue, Q., Cheng, K., Ogle, S., Hillier, J., Smith, P., Abdalla, M., Ledo, A., Sun, J., Pan, G. 2019. Evaluation of four modelling approaches to estimate nitrous oxide emissions in China's cropland. Science of the Total Environment, 652, 1279-1289