Greenhouse gas emissions from Indian rice fields: calibration and upscaling using the DNDC model
Greenhouse gas emissions from Indian rice fields: calibration and upscaling using the DNDC model
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DOI：
10.5194/bg-2-113-2005
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发表时间：
2005-05
期刊：
影响因子：
4.9
通讯作者：
H. Pathak;Changsheng Li;R. Wassmann
中科院分区：
文献类型：
--
作者：
H. Pathak;Changsheng Li;R. Wassmann
抽象。反硝化和分解（DNDC）模型的能力，以模拟甲烷（CH 4），一氧化二氮（N2 O）和二氧化碳（CO2）排放量从印度稻田与各种管理措施进行了评估。该模型在印度新德里进行了现场实验校准和验证。观测到的产量、氮吸收量和温室气体（GHG）排放量与模型预测值吻合良好。然后，该模型被应用于估计温室气体排放量从稻田在印度使用新编译的土壤/气候/土地利用数据库。稻田（4，225万公顷）的持续淹水导致CH 4-C、N2 O-N和CO2-C的年净排放量分别为1.07-1.10、0.04-0.05和21.16-60.96 Tg，累积全球升温潜能值为130.93-272.83 Tg CO2当量。稻田间歇性淹水使年净排放量减少到0.12-0.13 Tg CH 4-C和16.66-48.80 Tg CO2-C，而N2 O排放量增加到0.05-0.06 Tg N2 O-N。然而，全球升温潜能值降至91.73-211.80 Tg CO2当量。研究表明，该模型可用于估计温室气体排放量和农艺管理，土壤和气候参数对温室气体排放量的影响，从稻田在印度。
Abstract. The Denitrification and Decomposition (DNDC) model was evaluated for its ability to simulate methane (CH4), nitrous oxide (N2O) and carbon dioxide (CO2) emissions from Indian rice fields with various management practices. The model was calibrated and validated for field experiments in New Delhi, India. The observed yield, N uptake and greenhouse gas (GHG) emissions were in good agreement with the values predicted by the model. The model was then applied for estimation of GHG emissions from rice fields in India using a newly compiled soil/climate/land use database. Continuous flooding of rice fields (42.25 million ha) resulted in annual net emissions of 1.07-1.10, 0.04-0.05 and 21.16-60.96 Tg of CH4-C, N2O-N and CO2-C, respectively, with a cumulated global warming potential (GWP) of 130.93-272.83 Tg CO2 equivalent. Intermittent flooding of rice fields reduced annual net emissions to 0.12-0.13 Tg CH4-C and 16.66-48.80 Tg CO2-C while N2O emission increased to 0.05-0.06 Tg N2O-N. The GWP, however, reduced to 91.73-211.80 Tg CO2 equivalent. The study suggested that the model could be applied for estimating the GHG emissions and the influences of agronomic management, soil and climatic parameters on the GHG emissions from rice fields in India.