Examining the Role of the Main Terrestrial Factors Won the Seasonal Distribution of Atmospheric Carbon Dioxide Concentration over Iran
Journal of the Indian Society of Remote Sensing, ISSN: 0974-3006, Vol: 51, Issue: 4, Page: 865-875
2023
- 13Citations
- 2Captures
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Most Recent News
New Findings from Shahid Beheshti University Describe Advances in Chemicals and Chemistry (Examining the Role of the Main Terrestrial Factors Won the Seasonal Distribution of Atmospheric Carbon Dioxide Concentration Over Iran)
2023 APR 06 (NewsRx) -- By a News Reporter-Staff News Editor at Middle East Daily -- Research findings on Chemicals and Chemistry are discussed in
Article Description
Global warming is one of the most important environmental issues from the last few decades and is causing climate change due to carbon dioxide (CO) emissions and other greenhouse gases (GHG) emissions. Therefore, examination of atmospheric CO concentration (XCO) variations on the local and global scale is critical. The purpose of this research was to analyze the role of environmental variables in the seasonal distribution of XCO from 2015 to 2021 across Iran. Initially, by using XCO data acquired from the OCO-2 satellite, yearly and seasonal Spatio-temporal XCO distribution maps were developed. Subsequently, to understand the role of environmental variables on the Spatio-temporal variations of XCO, the correlation of XCO with vegetation cover, precipitation and temperature were examined in different seasons. The annual increase of XCO can be observed, the concentrations in each year in all the areas were higher than those in the previous year. There was a different pattern of the spatial distribution of XCO in different seasons. In the growing seasons (spring and summer), the critical role of environmental variables in the north and west of Iran caused reaching XCO to the minimum amount. While in the cold seasons (autumn and winter) due to the decrease of vegetation cover, the XCO did not decrease in these areas. Furthermore, finding the correlation of XCO with environmental variables revealed that XCO had a significant correlation with these variables in the growing seasons. These correlations showed that the region with low vegetation coverage and precipitation and high temperature, which is situated in the south and east of Iran had the maximum amount of XCO. Our results suggested the potential of satellite data for producing Spatio-temporal distribution maps that will help us to a better understanding of the carbon cycle at a regional scale.
Bibliographic Details
Springer Science and Business Media LLC
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