Missing data imputation of high-resolution temporal climate time series data

Meteorological applications

article

E Afrifa-Yamoah¹  U. A. Mueller¹  S. M. Taylor²  A. J. Fisher¹ 

[1] School of Science, Edith Cowan University;Department of Primary Industries and Regional Development (DPIRD), Western Australian Fisheries and Marine Research Laboratories

关键词: high-resolution climate time series data;    imputation;    missing observations;    short cycle duration;    state-space modelling;   

DOI  :  10.1002/met.1873

学科分类：社会科学、人文和艺术（综合）

来源: Wiley

【 摘 要 】

Furnaces are the devices for providing heat to the industrial systems like boilers, gas turbines and etc. The main challenge of furnaces is emission of huge air pollutants. However, porous burners produce less contaminant compared to others. The quality of the combustion process in the porous burners depends on the length of flame in the porous medium. In this paper, the computational fluid dynamic (CFD) is used to investigate the porosity effects on the flame length of the combustion process in porous burner. The simulation results demonstrate that increasing the porosity increases the flame length and the combustion zone extends forward. So, combustion quality increases and production of carbon monoxide decrease. It is possible to conclude that temperature distribution in low porosity burner is lower and more uniform than high porosity one. Therefore, by increasing the porosity of the burner, the production of nitrogen oxides increases. So, using an intermediate porosity in the burner appears to be reasonable.

【 授权许可】

CC BY|CC BY-NC|CC BY-NC-ND