Characterization of Environmental Drivers Controlling the Baseline of Soil Surface CO 2 Flux using Wavelet-based Multiresolution State-Space Model and Wavelet Denoising

Yun Yeong Oh, Seong Taek Yun, Soonyoung Yu, Hyun Jun Kim, Seong Chun Jun

Research output: Contribution to journalConference article

Abstract

Multivariate environmental time series including soil surface CO 2 flux (FCO 2 ) have non-stationarity and mutual interdependence, and thus the i.i.d assumption-based conventional regression techniques inevitably lead to spurious regression or lose the dynamic characteristics in the process of variable transformation. In this paper, we adopted a wavelet threshold technique for our newly developed wavelet-based multiresolution state-space model (MRSSM) to overcome such limitations and to quantitatively evaluate the environmental drivers (EDs) controlling the baseline of FCO 2 . First, the structural characteristics and the potential EDs (PEDs) of FCO 2 were explored by wavelet denoised (threshold) SSM for complex environmental observation data. Then, the major EDs (MEDs) were identified using the scale localized correlation and the wavelet coherence analysis between PEDs and observation data. Next, the contribution of MEDs to FCO 2 was quantitatively evaluated by calculating the effective dynamic efficiency using the wavelet energy ratio of the maximum-correlation time-frequency bands. Finally, the effectiveness of the wavelet threshold method for MRSSM was discussed. The proposed wavelet denoising method is expected to improve the performance of MRSSM which is effective to identify, evaluate and predict the main environmental factors inherent in the observation data from complex environmental systems where physicochemical and biological processes of various spatio-temporal scales occur simultaneously.

Original languageEnglish
Pages (from-to)157-162
Number of pages6
JournalEnergy Procedia
Volume154
DOIs
Publication statusPublished - 2018 Jan 1
Event2018 Applied Energy Symposium and Forum, Carbon Capture, Utilization and Storage, CCUS 2018 - Perth, Australia
Duration: 2018 Jun 272018 Jun 29

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Fluxes
Soils
Frequency bands
Time series

Keywords

  • multivariate time series
  • Soil surface CO flux
  • state-space model
  • wavelet analysis
  • wavelet threshold

ASJC Scopus subject areas

  • Energy(all)

Cite this

Characterization of Environmental Drivers Controlling the Baseline of Soil Surface CO 2 Flux using Wavelet-based Multiresolution State-Space Model and Wavelet Denoising . / Oh, Yun Yeong; Yun, Seong Taek; Yu, Soonyoung; Kim, Hyun Jun; Jun, Seong Chun.

In: Energy Procedia, Vol. 154, 01.01.2018, p. 157-162.

Research output: Contribution to journalConference article

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