Field Validation of the DNDC-Rice Model for Methane and Nitrous Oxide Emissions from Double-Cropping Paddy Rice under Different Irrigation Practices in Tamil Nadu, India-猫眼课题宝

DOI：

10.3390/agriculture10080355

发表时间：

2020-08

期刊：

Agriculture

影响因子：

通讯作者：

中科院分区：

文献类型：

作者：

A. Oo;S. Sudo;T. Fumoto;K. Inubushi;K. Ono;Akinori Yamamoto;S. Bellingrath‐Kimura;Khin Thuzar Win;C. Umamageswari;K. Bama;M. Raju;K. Vanitha;P. Elayakumar;V. Ravi;V. Ambethgar

在印度泰米尔纳德邦 Aduthurai 的泰米尔纳德邦水稻研究所进行了为期两年的田间试验，以评估连续淹水 (CF) 和干湿交替 (AWD) 灌溉策略对水稻产量和双季稻温室气体排放的影响。田间观测结果表明，在保持水稻产量的同时，AWD灌溉比CF灌溉可减少季节性甲烷（CH4）排放总量22.3%至56.2%。通过使用观察到的两年现场数据，对 CF 和 AWD 实践的 DNDC-Rice 模型进行了验证。与观测值相比，该模型在 CF 和 AWD 方面分别高估了水稻生长季节平均水稻产量 24% 和 29%。 CF 的模拟季节性 CH4 排放量在夏季和季风季节分别比观测值低 6.4% 和高 4.2%，AWD 分别低 9.3% 和 12.7%。在夏季和季风季节，CF 中模拟的季节性一氧化二氮 (N2O) 排放量与观测排放量的相对偏差分别为 27% 和 -35%，AWD 的相对偏差分别为 267% 和 234%。尽管DNDC-Rice模型合理估算了CF中CH4排放总量，并很好地再现了AWD处理对CH4排放的减缓效果，但该模型未能充分预测节水灌溉下N2O排放总量。然而，就全球变暖潜势 (GWP) 而言，CF 和 AWD 灌溉的模拟值和观测值之间存在良好的一致性，因为与 CH4 相比，N2O 对 GWP 的贡献较小。本研究表明，DNDC-Rice 模型可用于估算热带地区不同水管理条件下双季稻 GWP 的主要来源 CH4 排放量。

Two-year field experiments were conducted at Tamil Nadu Rice Research Institute, Aduthurai, Tamil Nadu, India, to evaluate the effect of continuous flooding (CF) and alternate wetting and drying (AWD) irrigation strategies on rice grain yield and greenhouse gas emissions from double-cropping paddy rice. Field observation results showed that AWD irrigation was found to reduce the total seasonal methane (CH4) emission by 22.3% to 56.2% compared with CF while maintaining rice yield. By using the observed two-year field data, validation of the DNDC-Rice model was conducted for CF and AWD practices. The model overestimated rice grain yield by 24% and 29% in CF and AWD, respectively, averaged over the rice-growing seasons compared to observed values. The simulated seasonal CH4 emissions for CF were 6.4% lower and 4.2% higher than observed values and for AWD were 9.3% and 12.7% lower in the summer and monsoon season, respectively. The relative deviation of simulated seasonal nitrous oxide (N2O) emissions from observed emissions in CF were 27% and −35% and in AWD were 267% and 234% in the summer and monsoon season, respectively. Although the DNDC-Rice model reasonably estimated the total CH4 emission in CF and reproduced the mitigation effect of AWD treatment on CH4 emissions well, the model did not adequately predict the total N2O emission under water-saving irrigation. In terms of global warming potential (GWP), nevertheless there was a good agreement between the simulated and observed values for both CF and AWD irrigations due to smaller contributions of N2O to the GWP compared with that of CH4. This study showed that the DNDC-Rice model could be used for the estimation of CH4 emissions, the primary source of GWP from double-cropping paddy rice under different water management conditions in the tropical regions.

Field Validation of the DNDC-Rice Model for Methane and Nitrous Oxide Emissions from Double-Cropping Paddy Rice under Different Irrigation Practices in Tamil Nadu, India

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