| SiB3模式对作物区CO2通量的模拟研究 |
| 摘要点击 2497 全文点击 1609 投稿时间：2012-12-26 修订日期：2013-05-08 |
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| 中文关键词 SiB3 CO2通量 植被类型 模拟 观测 |
| 英文关键词 SiB3 CO2 fluxes vegetation type simulation observation |
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| 中文摘要 |
| 以苏州东山观测站农田为对象,通过使用简单生物圈模式(SiB3),在苏州东山站选取不同植被类型作为模式输入参数进行 CO2通量的模拟,并利用苏州东山站 2010-04-16~2011-06-30日的观测数据进行对比,讨论不同植被对苏州东山站CO2通量的影响. 结果发现,选择玉米作为站点植被类型输入模式模拟的各月 CO2通量日变化趋势与观测数据比较一致; 而选择普通作物类型输入模式模拟获得的 CO2通量,在 4月和 5月,白天低估 CO2通量, 6月高估 CO2通量; 选择茶树类型作为模式植被类型输入的模拟结果,高估 5月和 6月白天的 CO2通量. 另外,本研究还使用 SiB3模式对每日 CO2通量进行模拟,与观测对比后发现,选择的3种植被类型模拟获得的结果能较准确模拟出每日 CO2通量的收支,但存在一定偏差. 这说明,选择正确的植被类型能够使 SiB3模式有效地模拟出 CO2通量的日变化,但对时间从小时上升到每日尺度的 CO2通量进行模拟时还存在一定困难,需要进一步验证. |
| 英文摘要 |
| The aim is to study the influence of different vegetation types on CO2 fluxes at the same site, taking farmland as the object by using the simple biosphere model (SiB3), select different vegetation types in Suzhou Dongshan site as input parameters of model to simulate CO2 fluxes, and compare with the observational data in Suzhou Dongshan site during 2011-04-16 to 2011-06-30.Results show that using corn as the site vegetation type input model to simulate CO2 fluxes showed a very good diurnal variation agreement compared to the measured data, but selecting the ordinary crop type input model to simulate CO2 fluxes, CO2 fluxes during the daytime in April and May were undervalued, and CO2 fluxes in June were overvalued; when we select the tea type to input the model, the simulated results significantly overestimated CO2 fluxes during the daytime in May and June. In addition, when using SiB3 model to simulate the daily CO2 fluxes, all three vegetation types input model can effectively simulate daily CO2 fluxes, but not significantly. It shows that choosing the right type vegetation input SiB3 model can effectively simulate the diurnal variation of CO2 fluxes, but can not effectively improve the daily CO2 fluxes simulation. |
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