Muhammad Khan, Salman Tariq, Zia Ul Haq, Mehnaz Rashid
{"title":"利用多传感器遥感数据了解沙特阿拉伯上空气溶胶的时空分布及其与自然和人为因素的联系","authors":"Muhammad Khan, Salman Tariq, Zia Ul Haq, Mehnaz Rashid","doi":"10.1007/s11869-024-01578-3","DOIUrl":null,"url":null,"abstract":"<div><p>Air quality is becoming a serious public health issue, affecting millions of people globally. In support of this fact, the World Health Organization predicts that approximately 2.4 million people die per year as a result of the health impacts of air pollution. So, to recognize the impacts of air pollution, we must first investigate their physical properties. In this article, we used the Ultraviolet Aerosol Index (UVAI) and Multi-Angle Implementation of Atmospheric Correction (MAIAC) aerosol optical depth (AOD) from January 2005 to December 2021 obtained by the Ozone Monitoring Instrument (OMI) and MODIS respectively to investigate the Spatio-temporal patterns, annually and seasonal variations of absorbing aerosols, and interaction of aerosols with various meteorological parameters (rainfall, temperature, wind speed, e.g.) over Saudi Arabia (SA). Using the Hybrid Single Particle Langrangian Integrated Trajectory (HYSPLIT) model, we also identified pollution sources in SA's main cities. We also go through the natural and manmade factors that influence absorbing aerosols. Significant UVAI and MAIAC AOD values were observed high in the eastern and central regions of SA and low in the northern and western regions. Over SA, the average UVAI and MAIAC AOD are increasing at 0.93% and 0.83% per year respectively. UVAI has a favorable relationship with temperature in SA's eastern regions. In SA, UVAI has a positive and negative correlation with energy consumption and secondary industries of 0.787 and -0.52, respectively. Therefore, this study will help policymakers to identify the major hotspots and variability of aerosols in SA. Moreover, the contribution of different anthropogenic activities in polluting the atmosphere will also be analyzed in this study. Furthermore, depending on the findings of this study, various techniques such as plantation promotion, excellent fuel efficiency, a ban on the use of old and outdated vehicles, and so on can be employed to minimize the concentration of particle pollution.</p></div>","PeriodicalId":49109,"journal":{"name":"Air Quality Atmosphere and Health","volume":"17 10","pages":"2365 - 2394"},"PeriodicalIF":2.9000,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Understanding the spatiotemporal distribution of aerosols and their association with natural and anthropogenic factors over Saudi Arabia using multi-sensor remote sensing data\",\"authors\":\"Muhammad Khan, Salman Tariq, Zia Ul Haq, Mehnaz Rashid\",\"doi\":\"10.1007/s11869-024-01578-3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Air quality is becoming a serious public health issue, affecting millions of people globally. In support of this fact, the World Health Organization predicts that approximately 2.4 million people die per year as a result of the health impacts of air pollution. So, to recognize the impacts of air pollution, we must first investigate their physical properties. In this article, we used the Ultraviolet Aerosol Index (UVAI) and Multi-Angle Implementation of Atmospheric Correction (MAIAC) aerosol optical depth (AOD) from January 2005 to December 2021 obtained by the Ozone Monitoring Instrument (OMI) and MODIS respectively to investigate the Spatio-temporal patterns, annually and seasonal variations of absorbing aerosols, and interaction of aerosols with various meteorological parameters (rainfall, temperature, wind speed, e.g.) over Saudi Arabia (SA). Using the Hybrid Single Particle Langrangian Integrated Trajectory (HYSPLIT) model, we also identified pollution sources in SA's main cities. We also go through the natural and manmade factors that influence absorbing aerosols. Significant UVAI and MAIAC AOD values were observed high in the eastern and central regions of SA and low in the northern and western regions. Over SA, the average UVAI and MAIAC AOD are increasing at 0.93% and 0.83% per year respectively. UVAI has a favorable relationship with temperature in SA's eastern regions. In SA, UVAI has a positive and negative correlation with energy consumption and secondary industries of 0.787 and -0.52, respectively. Therefore, this study will help policymakers to identify the major hotspots and variability of aerosols in SA. Moreover, the contribution of different anthropogenic activities in polluting the atmosphere will also be analyzed in this study. Furthermore, depending on the findings of this study, various techniques such as plantation promotion, excellent fuel efficiency, a ban on the use of old and outdated vehicles, and so on can be employed to minimize the concentration of particle pollution.</p></div>\",\"PeriodicalId\":49109,\"journal\":{\"name\":\"Air Quality Atmosphere and Health\",\"volume\":\"17 10\",\"pages\":\"2365 - 2394\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2024-05-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Air Quality Atmosphere and Health\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s11869-024-01578-3\",\"RegionNum\":4,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Air Quality Atmosphere and Health","FirstCategoryId":"93","ListUrlMain":"https://link.springer.com/article/10.1007/s11869-024-01578-3","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Understanding the spatiotemporal distribution of aerosols and their association with natural and anthropogenic factors over Saudi Arabia using multi-sensor remote sensing data
Air quality is becoming a serious public health issue, affecting millions of people globally. In support of this fact, the World Health Organization predicts that approximately 2.4 million people die per year as a result of the health impacts of air pollution. So, to recognize the impacts of air pollution, we must first investigate their physical properties. In this article, we used the Ultraviolet Aerosol Index (UVAI) and Multi-Angle Implementation of Atmospheric Correction (MAIAC) aerosol optical depth (AOD) from January 2005 to December 2021 obtained by the Ozone Monitoring Instrument (OMI) and MODIS respectively to investigate the Spatio-temporal patterns, annually and seasonal variations of absorbing aerosols, and interaction of aerosols with various meteorological parameters (rainfall, temperature, wind speed, e.g.) over Saudi Arabia (SA). Using the Hybrid Single Particle Langrangian Integrated Trajectory (HYSPLIT) model, we also identified pollution sources in SA's main cities. We also go through the natural and manmade factors that influence absorbing aerosols. Significant UVAI and MAIAC AOD values were observed high in the eastern and central regions of SA and low in the northern and western regions. Over SA, the average UVAI and MAIAC AOD are increasing at 0.93% and 0.83% per year respectively. UVAI has a favorable relationship with temperature in SA's eastern regions. In SA, UVAI has a positive and negative correlation with energy consumption and secondary industries of 0.787 and -0.52, respectively. Therefore, this study will help policymakers to identify the major hotspots and variability of aerosols in SA. Moreover, the contribution of different anthropogenic activities in polluting the atmosphere will also be analyzed in this study. Furthermore, depending on the findings of this study, various techniques such as plantation promotion, excellent fuel efficiency, a ban on the use of old and outdated vehicles, and so on can be employed to minimize the concentration of particle pollution.
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.