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在现有的OTC内碳通量观测仪器设备基础上,设计开发出一套以AT89S51单片机为控制核心,通过L293D控制电机正反转控制箱盖定时开关,实现了多年冻土区OTC内碳通量自动观测.观测主体箱用透明采光性良好的玻璃纤维材料制成,电机传动采用齿轮传动,箱口和箱盖接触地方用橡胶密封圈包裹,防止箱盖密闭时漏气.OTC内碳通量自动观测仪最大可能性的减小了当前模拟增温条件下碳通量观测受自然条件和人为因素的影响,极大的降低观测费用,提高了数据的连续性,基本上实现了多年冻土区模拟增温条件下碳通量较为精确地自动、连续观测.试验表明:在气象条件相对较好的2013年5月15日,OTC内碳通量自动观测仪观测结果和传统OTC内利用LI-COR6400观测结果规律性都较强,野点较少,二者相关性显著(R2=0.96);而在气象条件相对较差的2013年9月1日,OTC内碳通量自动观测仪观测结果受外界干扰小,观测结果规律性强,野点较少;而传统OTC内利用LI-COR6400观测结果规律性较差,野点较多,数据可信度不高,二者观测结果相关性不显著(R2=0.67).
On the basis of existing OTC carbon flux observation instruments and equipment, a set of AT89S51 single-chip microcomputer is designed and developed as the control core, and the positive and negative control lid switch of L293D motor is used to control the timing switch. Observation of the main box with a transparent glass material made of transparent lighting, the motor drive gear transmission, box mouth and cover the contact area with a rubber ring wrapped to prevent leaks when the lid is closed. The maximum possibility of the automatic observer reduces the influence of the natural conditions and human factors on the observation of carbon flux under the current simulated warming conditions, greatly reduces the observation cost and improves the continuity of the data, and basically achieves the effects of the perennial freeze The carbon fluxes under simulated temperature increase were automatically and continuously observed in the field experiment.The results showed that on the 15th May, 2013 with relatively good weather conditions, the observation results of the carbon flux automatic observer in the OTC and the conventional OTC The observational results of LI-COR6400 were both regular and with few outliers. The correlation between the two was significant (R2 = 0.96). On the 1st of September, 2013, the carbon flux automatic observer Results by the outside The interference is small and the regularity of the observation results is strong and there are few outliers. However, the observation results of LI-COR6400 within the traditional OTC have less regularity, more field points and less reliable data, and the correlation between the two results is not significant (R2 = 0.67).