Suppr超能文献

对南亚、东亚和东南亚近地表甲烷(CH)及其影响因素的时空调查。

Spatiotemporal investigation of near-surface CH and factors influencing CH over South, East, and Southeast Asia.

作者信息

Khaliq Muhammad Athar, Mustafa Farhan, Rehman Shafeeq Ur, Shahzaman Muhammad, Javed Zeeshan, Sagir Muhammad, Bashir Safdar, Zuo Hongchao

机构信息

College of Atmospheric Sciences, Lanzhou University, Tian-shui South Road, Lanzhou 730000, Gansu, PR China.

Guangdong-Hong Kong Joint Laboratory for Carbon Neutrality, Jiangmen Laboratory of Carbon Science and Technology, Jiangmen 529199, Guangdong Province, China; Guangzhou HKUST Fok Ying Tung Research Institute (FYTRI), Nansha, Guangzhou, China.

出版信息

Sci Total Environ. 2024 Apr 20;922:171311. doi: 10.1016/j.scitotenv.2024.171311. Epub 2024 Feb 28.

Abstract

Methane (CH) is the second most abundant greenhouse gas after CO, which plays the most important role in global and regional climate change. To explore the long-term spatiotemporal variations of near-surface CH, datasets were extracted from Greenhouse gases Observing SATellite (GOSAT), and the Copernicus Atmospheric Monitoring Service (CAMS) reanalyzed datasets from June 2009 to September 2020 over South, East, and Southeast Asia. The accuracy of near-surface CH from GOSAT and CAMS was verified against surface observatory stations available in the study region to confirm both dataset applicability and results showed significant correlations. Temporal plots revealed continuous inflation in the near-surface CH with a significant seasonal and monthly variation in the study region. To explore the factors affecting near-surface CH distribution, near-surface CH relationship with anthropogenic emission, NDVI data, wind speed, temperature, precipitation, soil moisture, and relative humidity were investigated. The results showed a significant contribution of anthropogenic emissions with near-surface CH. Regression and correlation analysis showed a significant positive correlation between NDVI data and near-surface CH from GOSAT and CAMS, while a significant negative correlation was found between wind and near-surface CH. In the case of temperature, soil moisture, and near-surface CH from GOSAT and CAMS over high CH regions of the study area showed a significant positive correlation. However significant negative correlations were found between precipitation and relative humidity with GOSAT and CAMS datasets over high CH regions in South, East, and Southeast Asia. Moreover, these climatic factors showed no significant correlation within the low near-surface CH areas in our study region. Our study results showed that anthropogenic emissions, NDVI data, wind speed, temperature, precipitation, soil moisture, and humidity could significantly affect the near-surface CH over South, East, and Southeast Asia.

摘要

甲烷(CH₄)是仅次于二氧化碳的第二大温室气体,在全球和区域气候变化中起着最重要的作用。为了探究近地表甲烷的长期时空变化,从温室气体观测卫星(GOSAT)提取了数据集,并使用哥白尼大气监测服务(CAMS)重新分析了2009年6月至2020年9月期间南亚、东亚和东南亚的数据集。对照研究区域内可用的地面观测站,验证了GOSAT和CAMS近地表甲烷数据的准确性,以确认两个数据集的适用性,结果显示出显著的相关性。时间序列图显示,研究区域内近地表甲烷持续增加,且存在显著的季节和月度变化。为了探究影响近地表甲烷分布的因素,研究了近地表甲烷与人为排放、归一化植被指数(NDVI)数据、风速、温度、降水、土壤湿度和相对湿度之间的关系。结果表明,人为排放对近地表甲烷有显著贡献。回归和相关分析表明,NDVI数据与GOSAT和CAMS的近地表甲烷之间存在显著正相关,而风速与近地表甲烷之间存在显著负相关。在研究区域高甲烷地区,温度、土壤湿度与GOSAT和CAMS的近地表甲烷之间呈现显著正相关。然而,在南亚、东亚和东南亚的高甲烷地区,降水和相对湿度与GOSAT和CAMS数据集之间呈现显著负相关。此外,在我们研究区域的低近地表甲烷区域,这些气候因素没有显著相关性。我们的研究结果表明,人为排放、NDVI数据、风速、温度、降水、土壤湿度和湿度会显著影响南亚、东亚和东南亚的近地表甲烷。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验