Assessing the impact of global carbon dioxide changes on atmospheric fluctuations in Iran through satellite data analysis

IF 2.7 4区 环境科学与生态学 Q2 WATER RESOURCES Journal of Water and Climate Change Pub Date : 2024-04-03 DOI:10.2166/wcc.2024.702
S. Mousavi, Naghmeh Mobarghaee Dinan, Saeed Ansarifard, Golnaz Darvishi, F. Borhani, Amir Naghibi
{"title":"Assessing the impact of global carbon dioxide changes on atmospheric fluctuations in Iran through satellite data analysis","authors":"S. Mousavi, Naghmeh Mobarghaee Dinan, Saeed Ansarifard, Golnaz Darvishi, F. Borhani, Amir Naghibi","doi":"10.2166/wcc.2024.702","DOIUrl":null,"url":null,"abstract":"\n \n This study aimed to examine how global CO2 changes affect atmospheric CO2 (XCO2) concentrations in Iran from 2015 to 2020. XCO2 data from the Orbiting Carbon Observatory-2 (OCO-2) satellite and CO2 surface flux data from the Copernicus Atmosphere Monitoring Service were analyzed. Monthly and annual XCO2 and surface flux values were compared. Over the 6 years, XCO2 in Iran increased steadily by 12.66 ppm, mirroring global rises. However, Iran's CO2 surface flux decreased, with slight increases in anthropogenic emissions but decreased natural and total fluxes. Monthly patterns of XCO2 and surface flux exhibited variations, with XCO2 reaching its zenith in spring and dipping to its lowest point during summer, while surface flux attained its peak during the summer months. The results reveal a significant discrepancy between Iran's surface CO2 flux and atmospheric XCO2 trends. While Iran's anthropogenic emissions increased barely from 2015–2020, its natural and total CO2 fluxes decreased. However, XCO2 increased steadily over this period, indicating the dominant impact of global rather than local factors on Iran's CO2 levels. The research emphasizes the critical need for a coordinated international effort, utilizing satellite monitoring data, to implement science-based policies that mitigate escalating global CO2 emissions. Curbing worldwide greenhouse gas.","PeriodicalId":49150,"journal":{"name":"Journal of Water and Climate Change","volume":null,"pages":null},"PeriodicalIF":2.7000,"publicationDate":"2024-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Water and Climate Change","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.2166/wcc.2024.702","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"WATER RESOURCES","Score":null,"Total":0}
引用次数: 0

Abstract

This study aimed to examine how global CO2 changes affect atmospheric CO2 (XCO2) concentrations in Iran from 2015 to 2020. XCO2 data from the Orbiting Carbon Observatory-2 (OCO-2) satellite and CO2 surface flux data from the Copernicus Atmosphere Monitoring Service were analyzed. Monthly and annual XCO2 and surface flux values were compared. Over the 6 years, XCO2 in Iran increased steadily by 12.66 ppm, mirroring global rises. However, Iran's CO2 surface flux decreased, with slight increases in anthropogenic emissions but decreased natural and total fluxes. Monthly patterns of XCO2 and surface flux exhibited variations, with XCO2 reaching its zenith in spring and dipping to its lowest point during summer, while surface flux attained its peak during the summer months. The results reveal a significant discrepancy between Iran's surface CO2 flux and atmospheric XCO2 trends. While Iran's anthropogenic emissions increased barely from 2015–2020, its natural and total CO2 fluxes decreased. However, XCO2 increased steadily over this period, indicating the dominant impact of global rather than local factors on Iran's CO2 levels. The research emphasizes the critical need for a coordinated international effort, utilizing satellite monitoring data, to implement science-based policies that mitigate escalating global CO2 emissions. Curbing worldwide greenhouse gas.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
通过卫星数据分析评估全球二氧化碳变化对伊朗大气波动的影响
本研究旨在探讨全球二氧化碳变化如何影响伊朗 2015 年至 2020 年的大气二氧化碳(XCO2)浓度。研究分析了轨道碳观测站-2(OCO-2)卫星的 XCO2 数据和哥白尼大气监测服务的二氧化碳地表通量数据。比较了每月和每年的 XCO2 和地表通量值。在这 6 年中,伊朗的 XCO2 稳步上升了 12.66 ppm,与全球的上升趋势一致。然而,伊朗的二氧化碳地表通量却有所下降,人为排放量略有增加,但自然通量和总通量却有所下降。XCO2 和地表通量的月变化规律显示,XCO2 在春季达到顶峰,夏季降至最低点,而地表通量在夏季达到顶峰。研究结果表明,伊朗的地表二氧化碳通量与大气中的 XCO2 变化趋势之间存在显著差异。2015-2020 年间,伊朗的人为排放量几乎没有增加,但二氧化碳的自然通量和总通量却有所下降。然而,XCO2 在此期间稳步上升,表明全球因素而非本地因素对伊朗二氧化碳水平的影响占主导地位。这项研究强调,国际社会亟需协调努力,利用卫星监测数据,实施以科学为基础的政策,减缓不断攀升的全球二氧化碳排放量。遏制全球温室气体排放
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
4.80
自引率
10.70%
发文量
168
审稿时长
>12 weeks
期刊介绍: Journal of Water and Climate Change publishes refereed research and practitioner papers on all aspects of water science, technology, management and innovation in response to climate change, with emphasis on reduction of energy usage.
期刊最新文献
Morpho-hydrodynamic processes impacted by the 2022 extreme La Niña event and high river discharge conditions in the southern coast of West Java, Indonesia Impacts of climate change and variability on drought characteristics and challenges on sorghum productivity in Babile District, Eastern Ethiopia Monitoring the effects of climate change and topography on vegetation health in Tharparkar, Pakistan Elevation-dependent effects of snowfall and snow cover changes on runoff variations at the source regions of the Yellow River basin Meta-learning applied to a multivariate single-step fusion model for greenhouse gas emission forecasting in Brazil
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1