Salman Tariq, Hafsa Shahzad, Usman Mehmood, Zia ul Haq
{"title":"2003-2016年土耳其夏季气溶胶光学深度(AOD)和主要气象因子的线性和小波遥感分析","authors":"Salman Tariq, Hafsa Shahzad, Usman Mehmood, Zia ul Haq","doi":"10.1007/s11869-023-01422-0","DOIUrl":null,"url":null,"abstract":"<div><p>The summer season has a high influence on the aerosol load of Turkey. Atmospheric parameters produce a radiative climatic response when exposed to aerosols from multiple sources. The main aim of this research is to observe the spatio-temporal characteristics of aerosol optical depth (AOD) with atmospheric and surface covariates during the summer of 2003–2016 in Turkey. The AOD products for this study were retrieved at level 3 from Moderate Resolution Imaging Spectroradiometer (MODIS) and Multiangle Imaging Spectroradiometer (MISR) on a daily timescale. Prevailing meteorological parameters such as precipitation, air temperature, relative humidity, surface soil moisture, and enhanced vegetation index (EVI) were used on a daily and monthly timescale. The spatio-temporal distribution of aerosols and meteorological parameters were plotted and analyzed from which each variable exhibited a unique spatial distribution. The Mann–Kendall (MK) trend test was used to analyze the increasing and decreasing trends of AOD throughout the years. MODIS AOD had an increasing trend in the eastern, northeastern, southeastern, southwestern, and northern regions of Turkey whereas a significant decreasing trend was observed in the northwestern regions. MISR AOD had a strong significantly increasing trend in the eastern, northeastern, southern, and central regions whereas the western, northern, and central regions of Turkey expanded under a decreasing trend. Furthermore, correlation analysis was performed to analyze the relationship between AOD and the prevailing covariates from which the correlation between EVI and AOD was extremely variable in both datasets. Wavelet analysis (both continuous and coherence) was performed to analyze the periodic nature of AOD and meteorological parameters. Both MODIS and MISR exhibited significant coherencies in the 16–256 periodic for all covariates except for EVI which was plotted on a monthly time scale. In this study, a notable variation was observed in the space–time dynamics between MODIS and MISR datasets which can be used for future studies that attempt to analyze the relationship between AOD and covariates during the summer season.</p></div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":null,"pages":null},"PeriodicalIF":2.9000,"publicationDate":"2023-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Linear and wavelet analysis of aerosol optical depth (AOD) and prevailing meteorological factors during summer (2003–2016) over Turkey using Remote Sensing\",\"authors\":\"Salman Tariq, Hafsa Shahzad, Usman Mehmood, Zia ul Haq\",\"doi\":\"10.1007/s11869-023-01422-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The summer season has a high influence on the aerosol load of Turkey. Atmospheric parameters produce a radiative climatic response when exposed to aerosols from multiple sources. The main aim of this research is to observe the spatio-temporal characteristics of aerosol optical depth (AOD) with atmospheric and surface covariates during the summer of 2003–2016 in Turkey. The AOD products for this study were retrieved at level 3 from Moderate Resolution Imaging Spectroradiometer (MODIS) and Multiangle Imaging Spectroradiometer (MISR) on a daily timescale. Prevailing meteorological parameters such as precipitation, air temperature, relative humidity, surface soil moisture, and enhanced vegetation index (EVI) were used on a daily and monthly timescale. The spatio-temporal distribution of aerosols and meteorological parameters were plotted and analyzed from which each variable exhibited a unique spatial distribution. The Mann–Kendall (MK) trend test was used to analyze the increasing and decreasing trends of AOD throughout the years. MODIS AOD had an increasing trend in the eastern, northeastern, southeastern, southwestern, and northern regions of Turkey whereas a significant decreasing trend was observed in the northwestern regions. MISR AOD had a strong significantly increasing trend in the eastern, northeastern, southern, and central regions whereas the western, northern, and central regions of Turkey expanded under a decreasing trend. Furthermore, correlation analysis was performed to analyze the relationship between AOD and the prevailing covariates from which the correlation between EVI and AOD was extremely variable in both datasets. Wavelet analysis (both continuous and coherence) was performed to analyze the periodic nature of AOD and meteorological parameters. Both MODIS and MISR exhibited significant coherencies in the 16–256 periodic for all covariates except for EVI which was plotted on a monthly time scale. 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Linear and wavelet analysis of aerosol optical depth (AOD) and prevailing meteorological factors during summer (2003–2016) over Turkey using Remote Sensing
The summer season has a high influence on the aerosol load of Turkey. Atmospheric parameters produce a radiative climatic response when exposed to aerosols from multiple sources. The main aim of this research is to observe the spatio-temporal characteristics of aerosol optical depth (AOD) with atmospheric and surface covariates during the summer of 2003–2016 in Turkey. The AOD products for this study were retrieved at level 3 from Moderate Resolution Imaging Spectroradiometer (MODIS) and Multiangle Imaging Spectroradiometer (MISR) on a daily timescale. Prevailing meteorological parameters such as precipitation, air temperature, relative humidity, surface soil moisture, and enhanced vegetation index (EVI) were used on a daily and monthly timescale. The spatio-temporal distribution of aerosols and meteorological parameters were plotted and analyzed from which each variable exhibited a unique spatial distribution. The Mann–Kendall (MK) trend test was used to analyze the increasing and decreasing trends of AOD throughout the years. MODIS AOD had an increasing trend in the eastern, northeastern, southeastern, southwestern, and northern regions of Turkey whereas a significant decreasing trend was observed in the northwestern regions. MISR AOD had a strong significantly increasing trend in the eastern, northeastern, southern, and central regions whereas the western, northern, and central regions of Turkey expanded under a decreasing trend. Furthermore, correlation analysis was performed to analyze the relationship between AOD and the prevailing covariates from which the correlation between EVI and AOD was extremely variable in both datasets. Wavelet analysis (both continuous and coherence) was performed to analyze the periodic nature of AOD and meteorological parameters. Both MODIS and MISR exhibited significant coherencies in the 16–256 periodic for all covariates except for EVI which was plotted on a monthly time scale. In this study, a notable variation was observed in the space–time dynamics between MODIS and MISR datasets which can be used for future studies that attempt to analyze the relationship between AOD and covariates during the summer season.
期刊介绍:
Air Quality, Atmosphere, and Health is a multidisciplinary journal which, by its very name, illustrates the broad range of work it publishes and which focuses on atmospheric consequences of human activities and their implications for human and ecological health.
It offers research papers, critical literature reviews and commentaries, as well as special issues devoted to topical subjects or themes.
International in scope, the journal presents papers that inform and stimulate a global readership, as the topic addressed are global in their import. Consequently, we do not encourage submission of papers involving local data that relate to local problems. Unless they demonstrate wide applicability, these are better submitted to national or regional journals.
Air Quality, Atmosphere & Health addresses such topics as acid precipitation; airborne particulate matter; air quality monitoring and management; exposure assessment; risk assessment; indoor air quality; atmospheric chemistry; atmospheric modeling and prediction; air pollution climatology; climate change and air quality; air pollution measurement; atmospheric impact assessment; forest-fire emissions; atmospheric science; greenhouse gases; health and ecological effects; clean air technology; regional and global change and satellite measurements.
This journal benefits a diverse audience of researchers, public health officials and policy makers addressing problems that call for solutions based in evidence from atmospheric and exposure assessment scientists, epidemiologists, and risk assessors. Publication in the journal affords the opportunity to reach beyond defined disciplinary niches to this broader readership.