Analysis of Local Climate Variations Using Correlation between Satellite Measurements of Methane Emission and Temperature Trends within Physiographic Regions of Ukraine-Reference-Cited by-同舟云学术

Analysis of Local Climate Variations Using Correlation between Satellite Measurements of Methane Emission and Temperature Trends within Physiographic Regions of Ukraine

Published:2019-04-01 Issue:2 Volume:4 Page:276-288
ISSN:2455-7749
Container-title:International Journal of Mathematical, Engineering and Management Sciences
language:en
Short-container-title:Int J Math, Eng, Manag Sci

Author:

Popov Mikhail A.¹,Stankevich Sergey A.¹,Kostyuchenko Yuri V.¹,Kozlova Anna A.¹

Affiliation:

1. Workgroup on Mathematical Modeling of Geo-Systems and Risk Analysis Department of Heat & Mass Exchange in Geo-Systems Scientific Centre for Aerospace Research of the Earth, Kiev, Ukraine

Abstract

Paper aimed to the description of the methods of analysis and measurements of atmospheric greenhouse gases (GHG), especially, methane concentration using satellite tools for climate change model improvement. The experimental accuracy estimation of narrow-band spectral indices restoration by the wide-band multispectral image is performed. Three methods for narrow-band spectral indices restoration are analyzed. The method on the basis of spectra translation is recommended for practical application.

Publisher

International Journal of Mathematical, Engineering and Management Sciences plus Mangey Ram

Subject

General Engineering,General Business, Management and Accounting,General Mathematics,General Computer Science

Reference30 articles.

1. Amrutkar, K. P., & Kamalja, K. K. (2017). An overview of various importance measures of reliability system. International Journal of Mathematical, Engineering and Management Sciences, 2(3), 150-171.

2. Arah, J. R. M., & Stephen, K. D. (1998). A model of the processes leading to methane emission from peatland. Atmospheric Environment, 32(19), 3257-3264.

3. Belić, D. S. (2006). Global warming and greenhouse gases. Facta Universitatis Series: Physics, Chemistry and Technology, 4(1). 45-55.

4. Buchwitz, M. D., Beek, R. D., Burrows, J. P., Bovensmann, H., Warneke, T., Notholt, J., & Heimann, M. (2005). Atmospheric methane and carbon dioxide from SCIAMACHY satellite data: initial comparison with chemistry and transport models. Atmospheric Chemistry and Physics, 5(4), 941-962.

5. Cao, M., Marshall, S., & Gregson, K. (1996). Global carbon exchange and methane emissions from natural wetlands: Application of a process based model. Journal of Geophysical Research: Atmospheres, 101(D9), 14399-14414.

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Use of Satellite Images and the Split Window Algorithm to Detect Fugitive Methane in Tlalnepantla De Baz Landfill;Polish Journal of Environmental Studies;2022-10-13

2. On the development of remote sensing methods and technologies in Ukraine;Ukrainian journal of remote sensing;2022-06-28

3. The result of the comparative use of OCO-2 information to find the relationship between changes in the atmospheric concentration of CO2 and air temperature in the Argentine Islands and Ukraine.;Ukrainian journal of remote sensing;2021-12-10