Estimates of methane and nitrous oxide emission from a rice field in Central Java, Indonesia, based on the DeNitrification DeComposition model
Estimates of methane and nitrous oxide emission from a rice field in Central Java, Indonesia, based on the DeNitrification DeComposition model
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DOI：
10.20961/stjssa.v19i1.56928
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发表时间：
2022-01
期刊：
影响因子：
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通讯作者：
Umi Munawaroh;K. Komariah;D. Ariyanto;M. Zaki;K. Noda
中科院分区：
文献类型：
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作者：
Umi Munawaroh;K. Komariah;D. Ariyanto;M. Zaki;K. Noda
印度尼西亚是世界第三大稻米生产国，大部分稻米种植在中爪哇（估计为310万公顷）。然而，生产水稻的环境挑战之一是稻田的温室气体（GHG）排放。因此，了解水稻种植系统的温室气体排放（甲烷和一氧化二氮）对于更好的管理实践非常重要。本研究的目的是估计温室气体排放量的卫星数据库，即脱硝分解（DNDC）模型，在中爪哇，印度尼西亚，Cilacap，Karanganyar，和帕蒂，以及决定排放的因素。DNDC模型来自https://www.dndc.sr.unh.edu，该模型由三个主要的子模型组成，这些子模型在模拟N2 O和N2排放时一起工作：（1）土壤-气候/热-水力通量子模型，（2）分解子模型，以及（3）反硝化子模型。结果表明，Karanganyar、Cilacap和帕蒂的水稻种植产生的N2 O排放量分别为19.0、18.8和12.8 kg N ha−1 yr−1，而CH 4排放量分别为213.7、270.6和360.6 kg C ha−1 yr−1。连续干旱或高降水，导致累积耗尽或土壤水分升高，分别沿着气温升高可能促进更高的甲烷和氧化亚氮。根据不同的农业实践验证模型的实验领域，建议进一步研究。总的来说，DNDC模型结合各种次级气候和土地管理大数据资源，成功地估算了中爪哇的甲烷和氧化亚氮排放量。
Indonesia is the world’s third largest rice producer, with most rice being cultivated (estimated 3.1 million ha) in Central Java. However, one of the environmental challenges in producing rice is greenhouse gas (GHG) emissions from rice fields. Therefore, understanding the GHG emissions (methane and nitrous oxide) from the rice farming system is important for better management practices. The objective of this study is to estimate the GHG emissions supported by a satellite database, namely, the DeNitrification DeComposition (DNDC) model, at three regencies at Central Java, Indonesia, Cilacap, Karanganyar, and Pati, as well as the factors determining the emissions. The DNDC model was obtained from https://www.dndc.sr.unh.edu, which consists of three main submodels that worked together in simulating N2O and N2 emissions: (1) the soil-climate/thermal-hydraulic flux submodel, (2) the decomposition submodel, and (3) the denitrification submodel. The results showed that the N2O emissions from rice farming in Karanganyar, Cilacap, and Pati were 19.0, 18.8, and 12.8 kg N ha−1 yr−1, respectively, while they were 213.7, 270.6, and 360.6 kg C ha−1 yr−1 for CH4 emissions, respectively. Consecutive dry or high precipitation, which resulted in cumulative depleted or elevated soil moisture, respectively, along with warmer temperature likely promoted higher methane and nitrous oxide. Experimental fields for validating the model in accordance with various agricultural practices are suggested for further study. Overall, the DNDC model has successfully estimated the CH4 and N2O emissions in Central Java when incorporated with various secondary climatic and land management big data resources.