Using the DNDC model to predict methane emissions from crop-rice rotation systems
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Author list: Cha-Un N., Chidthaisong A., Towprayoon S.
Publication year: 2017
Journal: RESEARCH JOURNAL OF CHEMISTRY AND ENVIRONMENT (0972-0626)
Volume number: 21
Issue number: 3
Start page: 36
End page: 46
Number of pages: 11
ISSN: 0972-0626
Languages: English-Great Britain (EN-GB)
Abstract
Flooded rice cultivation is the major source of atmospheric methane (CH4) which makes an important contribution to global warming. In this study, we used a process-based model (DNDC) to simulate CH4 fluxes from 2.5-year consecutive cultivation of crop-rice rotation systems including fallow-rice (RF), rice-rice (RR), corn-rice (RC) and sweet sorghum-rice (RS). To test the accuracy of the model, simulation results and field observations were compared. The comparison found a higher correlation coefficient (r) in RF (0.9380), RC (0.9143) and RS (0.8883) than in RR (0.4805). A smaller relative error (E), root mean square error (RMSE) and percentage difference of total CH4 emissions were also observed in RF, RC and RS. These analysed results indicated that the DNDC model was in good agreement respecting quality and quantity estimation under fallow-rice and rotated croprice rotation systems. For the RR cropping system, the DNDC satisfactorily predicted total CH4 emissions but failed to capture the pattern of daily average CH4 fluxes. In long-term prediction, RC and RS are able to reduce annual CH4 emissions over 70% more than RR. These results suggest that the DNDC model can be used to predict CH4 emissions from crop-rice rotation systems in Thailand.
Keywords
crop rotation, Methane prediction, Rice cultivation
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