一种面向下垫面不均一的森林碳通量监测方法

特定时刻内通量塔观测结果只能代表其上风向下垫面贡献区域的CO2通量值,当下垫面不均一时,通量塔观测结果是不能真实反映观测区域实际碳通量的.如何将通量观测塔的空间代表性进行有效的由点到面的扩展,亟需一种能够对观测区域采取多点同步精确观测的可行方法.完全的利用现有的无线传感器网络(WSN)技术虽然具有实时多点同步观测的优势,但精度不能满足通量观测的要求.本研究将利用通量塔观测数据对无线传感器接收数据进行校正,通过校正后数据计算观测区域内的通量值,力求解决下垫面不均一时通量塔观测结果不具代表性的问题.根据涡度相关技术和FSAM模型(fux-source area model),采用仿真数据分析方法,研究结果表明通过通量塔观测数据对WSN进行校正能够提高WSN观测精度;利用WSN多点同步监测的优势能够很好地解决下垫面不均一情景下通量塔观测结果不具代表性的问题.WSN结合通量塔进行陆地生态系统碳通量观测上具有很大的应用前景.

Study on carbon flux measurement using wireless sensor network under inhomogeneous surface condition

Flux tower observations can only represent the CO2fuxes from the footprint area within the particular moment. When the surface is inhomogeneous, fux tower observations will not be able to refect actual carbon fux observations. So, how to evaluate spatial representative of fux tower observations becomes an important problem, and a feasible method to precisely monitor CO2fuxes at the same time is urgently needed. Wireless sensor network（WSN） technology has the advantage of multi-points and is strong representative. Its high spacetime and fne multi-points data are synchronous, but cannot meet the needs of the fux observation precision.In this study, observations data from fux tower will be used to correct data from WSN, and then CO2fuxes are calculated using WSN data to solve the less representative problem under inhomogeneous surface condition.According to the eddy covariance technique and the FSMA model, using the simulation data analysis methods,research results show that the accuracy of CO2fuxes is improved when WSN observation data is corrected by fux tower data. WSN with synchronous multi-points monitoring can efectively solve the unrepresentative problem under inhomogeneous surface condition. WSN technology with fux tower in terrestrial ecosystem carbon fux observation has great application prospect.