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

Flux tower observations can only represent the CO 2 fluxes from the footprint area within the particular moment. When the surface is inhomogeneous, flux tower observations will not be able to reflect actual carbon flux observations. So, how to evaluate spatial representative of flux tower observations becomes an important problem, and a feasible method to precisely monitor CO 2 fluxes 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 fine multi-points data are synchronous, but cannot meet the needs of the flux observation precision. In this study, observations data from flux tower will be used to correct data from WSN, and then CO 2 fluxes 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 CO 2 fluxes is improved when WSN observation data is corrected by flux tower data. WSN with synchronous multi-points monitoring can effectively solve the unrepresentative problem under inhomogeneous surface condition. WSN technology with flux tower in terrestrial ecosystem carbon flux observation has great application prospect.