{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,5]],"date-time":"2026-03-05T22:18:34Z","timestamp":1772749114873,"version":"3.50.1"},"reference-count":73,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2021,1,21]],"date-time":"2021-01-21T00:00:00Z","timestamp":1611187200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100008900","name":"University of South Florida","doi-asserted-by":"publisher","award":["USF COVID-19 Rapid Response Research Grant Award #100431"],"award-info":[{"award-number":["USF COVID-19 Rapid Response Research Grant Award #100431"]}],"id":[{"id":"10.13039\/100008900","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["AGS Award #1900795"],"award-info":[{"award-number":["AGS Award #1900795"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The recent COVID-19 pandemic has prompted global governments to take several measures to limit and contain the spread of the novel virus. In the United States (US), most states have imposed a partial to complete lockdown that has led to decreased traffic volumes and reduced vehicle emissions. In this study, we investigate the impacts of the pandemic-related lockdown on air quality in the US using remote sensing products for nitrogen dioxide tropospheric column (NO2), carbon monoxide atmospheric column (CO), tropospheric ozone column (O3), and aerosol optical depth (AOD). We focus on states with distinctive anomalies and high traffic volume, New York (NY), Illinois (IL), Florida (FL), Texas (TX), and California (CA). We evaluate the effectiveness of reduced traffic volume to improve air quality by comparing the significant reductions during the pandemic to the interannual variability (IAV) of a respective reference period for each pollutant. We also investigate and address the potential factors that might have contributed to changes in air quality during the pandemic. As a result of the lockdown and the significant reduction in traffic volume, there have been reductions in CO and NO2. These reductions were, in many instances, compensated by local emissions and, or affected by meteorological conditions. Ozone was reduced by varying magnitude in all cases related to the decrease or increase of NO2 concentrations, depending on ozone photochemical sensitivity. Regarding the policy impacts of this large-scale experiment, our results indicate that reduction of traffic volume during the pandemic was effective in improving air quality in regions where traffic is the main pollution source, such as in New York City and FL, while was not effective in reducing pollution events where other pollution sources dominate, such as in IL, TX and CA. Therefore, policies to reduce other emissions sources (e.g., industrial emissions) should also be considered, especially in places where the reduction in traffic volume was not effective in improving air quality (AQ).<\/jats:p>","DOI":"10.3390\/rs13030369","type":"journal-article","created":{"date-parts":[[2021,1,22]],"date-time":"2021-01-22T03:31:30Z","timestamp":1611286290000},"page":"369","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":37,"title":["The Status of Air Quality in the United States During the COVID-19 Pandemic: A Remote Sensing Perspective"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8883-3522","authenticated-orcid":false,"given":"Yasin F.","family":"Elshorbany","sequence":"first","affiliation":[{"name":"College of Arts and Sciences, University of South Florida, St. Petersburg, FL 33701, USA"}]},{"given":"Hannah C.","family":"Kapper","sequence":"additional","affiliation":[{"name":"College of Arts and Sciences, University of South Florida, St. Petersburg, FL 33701, USA"}]},{"given":"Jerald R.","family":"Ziemke","sequence":"additional","affiliation":[{"name":"NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA"},{"name":"Goddard Earth Sciences Technology and Research (GESTAR), Columbia, MD 21046, USA"}]},{"given":"Scott A.","family":"Parr","sequence":"additional","affiliation":[{"name":"Department of Civil Engineering, Embry-Riddle Aeronautical University, Daytona Beach, FL 32114, USA"}]}],"member":"1968","published-online":{"date-parts":[[2021,1,21]]},"reference":[{"key":"ref_1","unstructured":"WHO (2020, October 10). The World Health Organization. Coronavirus Disease (COVID-19) Pandemic. Available online: https:\/\/www.who.int\/emergencies\/diseases\/novel-coronavirus-2019."},{"key":"ref_2","unstructured":"CDC (2020, October 12). Center for Disease Control and Prevention, Available online: https:\/\/COVID.cdc.gov\/COVID-data-tracker\/."},{"key":"ref_3","unstructured":"Hopkins, J. (2020, December 01). Coronavirus Resource Center. Available online: https:\/\/coronavirus.jhu.edu."},{"key":"ref_4","first-page":"100150","article-title":"How COVID-19 and the Dutch \u201cintelligent lockdown\u201d change activities, work and travel behaviour: Evidence from longitudinal data in the Netherlands","volume":"6","author":"Faber","year":"2020","journal-title":"Transp. Res. Interdiscip. Perspect."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"76","DOI":"10.1016\/j.tranpol.2020.07.001","article-title":"Insights into the impact of COVID-19 on household travel and activities in Australia\u2014The early days under restrictions","volume":"96","author":"Beck","year":"2020","journal-title":"Transp. Policy"},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Parr, S., Wolshon, B., Renne, J., Murray-Tuite, P., and Kim, K. (2020). Traffic Impacts of the COVID-19 Pandemic: Statewide Analysis of Social Separation and Activity Restriction. Nat. Hazards Rev., 21.","DOI":"10.1061\/(ASCE)NH.1527-6996.0000409"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"140489","DOI":"10.1016\/j.scitotenv.2020.140489","article-title":"How mobility habits influenced the spread of the COVID-19 pandemic: Results from the Italian case study","volume":"741","author":"Martino","year":"2020","journal-title":"Sci. Total Environ."},{"key":"ref_8","first-page":"100167","article-title":"The impact of government measures and human mobility trend on COVID-19 related deaths in the UK","volume":"6","author":"Hadjidemetriou","year":"2020","journal-title":"Transp. Res. Interdisc. Perspect."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1537","DOI":"10.1016\/S1352-2310(00)00551-3","article-title":"The transport sector as a source of air pollution","volume":"35","author":"Colvile","year":"2001","journal-title":"Atmos. Environ."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"282","DOI":"10.1016\/j.scitotenv.2017.11.271","article-title":"Real world CO2 and NOx emissions from 149 euro 5 and 6 diesel, gasoline and hybrid passenger cars","volume":"621","author":"Stettler","year":"2018","journal-title":"Sci. Total Environ."},{"key":"ref_11","first-page":"774","article-title":"On-road and laboratory emissions of NO, NO2, NH3, N2O and CH4 from late-model EU light utility vehicles: Comparison of diesel and CNG","volume":"616","author":"Beranek","year":"2018","journal-title":"Sci. Total Environ."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"6398","DOI":"10.1016\/j.atmosenv.2009.08.047","article-title":"Summertime Photochemical Ozone Formation in Santiago de Chile","volume":"43","author":"Elshorbany","year":"2009","journal-title":"Atmos. Environ."},{"key":"ref_13","first-page":"28","article-title":"Abrupt decline in tropospheric nitrogen dioxide over China after the outbreak of COVID-19","volume":"6","author":"Liu","year":"2020","journal-title":"Sci. Adv."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"18984","DOI":"10.1073\/pnas.2006853117","article-title":"COVID-19 lockdowns cause global air pollution declines","volume":"117","author":"Venter","year":"2020","journal-title":"Natl. Acad. Sci."},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Putaud, J.-P., Pozzoli, L., Pisoni, E., Martins Dos Santos, S., Lagler, F., Lanzani, G., Dal Santo, U., and Colette, A. (2020). Impacts of the COVID-19 lockdown on air pollution at regional and urban background sites in northern Italy. Atmos. Chem. Phys. Discuss., in review.","DOI":"10.5194\/acp-2020-755"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Pathakoti, M., Muppalla, A., Hazra, S., Dangeti, M., Shekhar, R., Jella, S., Mullapudi, S.S., Andugulapati, P., and Vijayasundaram, U. (2020). An assessment of the impact of a nation-wide lockdown on air pollution\u2014A remote sensing perspective over India. Atmos. Chem. Phys. Discuss., in review.","DOI":"10.5194\/acp-2020-621"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"141105","DOI":"10.1016\/j.scitotenv.2020.141105","article-title":"Nonuniform impacts of COVID-19 lockdown on air quality over the United States","volume":"745","author":"Chen","year":"2020","journal-title":"Sci. Total Environ."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"140496","DOI":"10.1016\/j.scitotenv.2020.140496","article-title":"Air quality changes in New York City during the COVID-19 pandemic","volume":"742","author":"Zangari","year":"2020","journal-title":"Sci. Total Environ."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Huang, G., and Sun, K. (2020). Non-Negligible impacts of clean air regulations on the reduction of tropospheric NO2 over East China during the COVID-19 pandemic observed by OMI and TROPOMI. Sci. Total Environ., 745.","DOI":"10.1016\/j.scitotenv.2020.141023"},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Bauwens, M., Compernolle, S., Stavrakou, T., M\u00fcller, J., Gent, J., Eskes, H., Levelt, P.F., van der A, R., Veefkind, J.P., and Vlietinck, J. (2020). Impact of Coronavirus Outbreak on NO2 Pollution Assessed Using TROPOMI and OMI Observations. Geophys. Res. Lett., 47.","DOI":"10.1029\/2020GL087978"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"138540","DOI":"10.1016\/j.scitotenv.2020.138540","article-title":"Changes in air quality during the lockdown in Barcelona (Spain) one month into the SARS-CoV-2 epidemic","volume":"726","author":"Carnerero","year":"2020","journal-title":"Sci. Total Environ."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"140000","DOI":"10.1016\/j.scitotenv.2020.140000","article-title":"Significant changes in the chemical compositions and sources of PM2.5 in Wuhan since the city lockdown as COVID-19","volume":"739","author":"Zheng","year":"2020","journal-title":"Sci. Total Environ."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Ding, J., van der A, R.J., Eskes, H., Mijling, B., Stavrakou, T., van Geffen, J., and Veefkind, P. (2020). NOx emissions reduction and rebound in China due to the COVID-19 crisis. Earth Space Sci. Open Arch., 47.","DOI":"10.1029\/2020GL089912"},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Cazorla, M., Herrera, E., Palomeque, E., and Saud, N. (2020). What the COVID-19 lockdown revealed about photochemistry and ozone production in Quito, Ecuador. Atmos. Pollut. Res., in press.","DOI":"10.1016\/j.apr.2020.08.028"},{"key":"ref_25","first-page":"nwaa137","article-title":"Enhanced secondary pollution offset reduction of primary emissions during COVID-19 lockdown in China","volume":"1\u20139","author":"Huang","year":"2020","journal-title":"Natl. Sci. Rev."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"104814","DOI":"10.1016\/j.resconrec.2020.104814","article-title":"Severe air pollution events not avoided by reduced anthropogenic activities during COVID-19 outbreak","volume":"158","author":"Wang","year":"2020","journal-title":"Resour. Conserv. Recycl."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"El-Sayed, M., Elshorbany, Y., and Koehler, K. (2021). On the impact of COVID-19 pandemic on air quality in FL, in preparation.","DOI":"10.1016\/j.envpol.2021.117451"},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Bekbulat, B., Apte, J.S., Millet, D.B., Robinson, A., Wells, K.C., and Marshall, J.D. (2020). PM2.5 and Ozone Air Pollution Levels Have Not Dropped Consistently Across the US Following Societal COVID Response. ChemRxiv.","DOI":"10.26434\/chemrxiv.12275603.v3"},{"key":"ref_29","unstructured":"Federal Highway Administration (FHWA) (2020, July 13). Highway Performance Monitoring System (HPMS), Available online: https:\/\/www.fhwa.dot.gov\/policyinformation\/hpms\/hpmsprimer.cfm."},{"key":"ref_30","unstructured":"Shilling, F. (2020). Special Report (Update): Impact of COVID19 Mitigation on Numbers and Costs of California Traffic Crashes, Road Ecology Center. Available online: https:\/\/roadecology.ucdavis.edu\/files\/content\/projects\/COVID_CHIPs_Impacts_updated_415_1.pdf."},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Lamsal, L.N., Krotkov, N.A., Vasilkov, A., Marchenko, S., Qin, W., Yang, E.-S., Fasnacht, Z., Joiner, J., Choi, S., and Haffner, D. (2020). OMI\/Aura Nitrogen Dioxide Standard Product with Improved Surface and Cloud Treatments. Atmos. Meas. Tech. Discuss., in review.","DOI":"10.5194\/amt-2020-200"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"2217","DOI":"10.5194\/acp-3-2217-2003","article-title":"Ground-Based FTIP measurements of CO from Jungfraujoch: Characterisation and comparison with in situ surface and MOPITT data","volume":"3","author":"Barret","year":"2003","journal-title":"Atmos. Chem. Phys."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"1927","DOI":"10.5194\/amt-10-1927-2017","article-title":"Validation of MOPITT carbon monoxide using ground-based Fourier transform infrared spectrometer data from NDACC","volume":"10","author":"Buchholz","year":"2017","journal-title":"Atmos. Meas. Tech."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"428","DOI":"10.1016\/j.atmosenv.2018.12.004","article-title":"MODIS Collection 6.1 aerosol optical depth products over land and ocean: Validation and comparison","volume":"201","author":"Wei","year":"2019","journal-title":"Atmos. Environ."},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Hsu, N.C., Jeong, M.-J., Bettenhausen, C., Sayer, A.M., Hansell, R., Seftor, C.S., Huang, J., and Tsay, S.-C. (2013). Enhanced Deep Blue Aerosol Retrieval Algorithm: The Second Generation. J. Geophys. Res., 118.","DOI":"10.1002\/jgrd.50712"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"4658","DOI":"10.1029\/2018JD029598","article-title":"Validation, stability, and consistency of MODIS collection 6.1 and VIIRS version 1 Deep Blue aerosol data over land","volume":"124","author":"Sayer","year":"2019","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_37","first-page":"D19303","article-title":"Tropospheric ozone determined from Aura OMI and MLS: Evaluation of measurements and comparison with the Global Modeling Initiative\u2019s Chemical Transport Model","volume":"111","author":"Ziemke","year":"2006","journal-title":"J. Geophys. Res."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"4845","DOI":"10.5194\/amt-8-4845-2015","article-title":"OMI total column ozone: Extending the long-term data record","volume":"8","author":"McPeters","year":"2019","journal-title":"Atmos. Meas. Tech."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"5419","DOI":"10.1175\/JCLI-D-16-0758.1","article-title":"The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2)","volume":"30","author":"Gelaro","year":"2017","journal-title":"J. Clim."},{"key":"ref_40","unstructured":"(2020, December 03). Tropospheric Ozone Public Domain, Available online: https:\/\/gmao.gsfc.nasa.gov\/reanalysis\/MERRA-2."},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Lee, H., Garay, M.J., Kalashnikova, O.V., Yu, Y., and Gibson, P.B. (2018). How Long should the MISR Record Be when Evaluating Aerosol Optical Depth Climatology in Climate Models?. Remote Sens., 10.","DOI":"10.3390\/rs10091326"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1016\/j.atmosres.2019.01.009","article-title":"Evaluation of MODIS and two reanalysis aerosol optical depth products over AERONET sites","volume":"220","author":"Shi","year":"2019","journal-title":"Atmos. Res."},{"key":"ref_43","unstructured":"Devore, J. (2012). Probability and Statistics for Engineering and the Sciences, California Polytechnic State University. [8th ed.]."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"903","DOI":"10.1098\/rspa.1998.0193","article-title":"The Empirical Mode Decomposition and the Hilbert Spectrum for Nonlinear and Non-Stationary Time Series Analysis","volume":"454","author":"Huang","year":"1998","journal-title":"Proc. R. Soc. Lond."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"14889","DOI":"10.1073\/pnas.0701020104","article-title":"On the trend, detrending, and variability of nonlinear and nonstationary time series","volume":"104","author":"Wu","year":"2007","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"4133","DOI":"10.1111\/gcb.13787","article-title":"Inconsistencies of interannual variability and trends in long-term satellite leaf area index products","volume":"23","author":"Jiang","year":"2017","journal-title":"Glob. Chang. Biol."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"895","DOI":"10.1021\/es4034364","article-title":"Spatial Distribution of U.S. Household Carbon Footprints Reveals Suburbanization Undermines Greenhouse Gas Benefits of Urban Population Density","volume":"48","author":"Jones","year":"2014","journal-title":"Environ. Sci. Technol."},{"key":"ref_48","unstructured":"US Department of Transportation (2020, October 22). Transportation GHG Emissions and Trends, Available online: https:\/\/www.transportation.gov\/sustainability\/climate\/transportation-ghg-emissions-and-trends."},{"key":"ref_49","unstructured":"Gately, C., Hutyra, L.R., and Wing, I.S. (2019). DARTE Annual On-Road CO2 Emissions on a 1-km Grid, Conterminous USA, V2, 1980\u20132017, ORNL DAAC."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"799","DOI":"10.5194\/gmd-9-799-2016","article-title":"The description and validation of the computationally Efficient CH4\u2013CO\u2013OH (ECCOHv1.01) chemistry module for 3-D model applications","volume":"9","author":"Elshorbany","year":"2016","journal-title":"Geosci. Model Dev."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"369","DOI":"10.5194\/gmd-11-369-2018","article-title":"Historical (1750\u20132014) anthropogenic emissions of reactive gases and aerosols from the Community Emission Data System (CEDS)","volume":"11","author":"Hoesly","year":"2018","journal-title":"Geosci. Model Dev."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"4605","DOI":"10.5194\/acp-16-4605-2016","article-title":"Aura OMI observations of regional SO2 and NO2 pollution changes from 2005 to 2015","volume":"16","author":"Krotkov","year":"2016","journal-title":"Atmos. Chem. Phys."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"1167","DOI":"10.5194\/acp-14-1167-2014","article-title":"Global and regional impacts of HONO on the chemical composition of clouds and aerosols","volume":"14","author":"Elshorbany","year":"2014","journal-title":"Atmos. Chem. Phys."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"186","DOI":"10.1021\/es504514z","article-title":"Ozone Trends Across the United States over a Period of Decreasing NOx and VOC Emissions","volume":"49","author":"Simon","year":"2015","journal-title":"Environ. Sci. Technol."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1525\/elementa.309","article-title":"Scientific assessment of background ozone over the U.S.: Implications for air quality management","volume":"6","author":"Jaffe","year":"2018","journal-title":"Elem. Sci. Anth."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"526","DOI":"10.1016\/j.envpol.2019.02.071","article-title":"The relationships between PM2.5 and aerosol optical depth (AOD) in mainland China: About and behind the spatio-temporal variations","volume":"248","author":"Yang","year":"2019","journal-title":"Environ. Pollut."},{"key":"ref_57","doi-asserted-by":"crossref","unstructured":"Stirnberg, R., Cermak, J., and Andersen, H. (2018). An Analysis of Factors Influencing the Relationship between Satellite-Derived AOD and Ground-Level PM10. Remote Sens., 10.","DOI":"10.3390\/rs10091353"},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"139864","DOI":"10.1016\/j.scitotenv.2020.139864","article-title":"Changes in U.S. air pollution during the COVID-19 pandemic","volume":"739","author":"Berman","year":"2020","journal-title":"Sci. Total Environ."},{"key":"ref_59","unstructured":"Roy, P. (2007). Atmospheric Smog Modeling, Using EOS Satellite ASTER Image Sensor, with Feature Extraction for Pattern Recognition Techniques and Its Correlation with In-Situ Ground Sensor Data. [Ph.D. Thesis, Marshall University]. Available online: https:\/\/mds.marshall.edu\/cgi\/viewcontent.cgi?referer=https:\/\/www.google.com\/&httpsredir=1&article=1817&context=etd."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1016\/0004-6981(80)90277-2","article-title":"Composition of size-fractionated aerosol in Charleston, West Virginia","volume":"14","author":"Lewis","year":"1979","journal-title":"Atmos. Environ."},{"key":"ref_61","first-page":"D02301","article-title":"A comparative study of ozone production in 5 U.S. metropolitan areas","volume":"110","author":"Kleinman","year":"2005","journal-title":"J. Geophys. Res."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"2974","DOI":"10.1029\/2018GL081530","article-title":"Widespread pollution from secondary sources of organic aerosols during winter in the Northeastern United States","volume":"46","author":"Shah","year":"2019","journal-title":"Geophys. Res. Lett."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"7771","DOI":"10.1029\/2018JD028475","article-title":"Sources and secondary production of organic aerosols in the northeastern United States during WINTER","volume":"123","author":"Schroder","year":"2018","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"14420","DOI":"10.1021\/acs.est.9b05404","article-title":"Understanding the Impact of High-NOx Conditions on the Formation on Secondary Organic Aerosol in the Photooxidation of Oil Sand-Related Precursors","volume":"53","author":"Li","year":"2019","journal-title":"Environ. Sci. Technol."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1016\/0957-1272(91)90042-D","article-title":"Source-Receptor study of volatile organic compounds and particulate matter in the Kanawha Valley, WV\u2014I. Methods and descriptive statistics","volume":"25B","author":"Cohen","year":"1991","journal-title":"Atmos. Environ."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"1259","DOI":"10.1175\/1520-0450(1972)011<1259:TCAPOT>2.0.CO;2","article-title":"The climatology and prediction of the Chicago Lake Breeze","volume":"11","author":"Lyons","year":"1972","journal-title":"J. Appl. Meteorol."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"6638","DOI":"10.1016\/j.atmosenv.2006.05.061","article-title":"Aerosol ion concentration dependence on atmospheric conditions in Chicago","volume":"40","author":"Fosco","year":"2006","journal-title":"Atmos. Environ."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"895","DOI":"10.4209\/aaqr.2017.09.0347","article-title":"Concentration of Ultrafine Particles near Roadways in an Urban Area in Chicago, Illinois","volume":"18","author":"Xiang","year":"2018","journal-title":"Aerosol. Air Qual. Res."},{"key":"ref_69","doi-asserted-by":"crossref","unstructured":"Tominack, S.A., Coffey, K.Z., Yoskowitz, D., Sutton, G., and Wetz, M.S. (2020). An assessment of trends in the frequency and duration of Karenia brevis red tide blooms on the South Texas coast (western Gulf of Mexico). PLoS ONE, 15.","DOI":"10.1371\/journal.pone.0239309"},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1016\/j.hal.2003.12.002","article-title":"Characterization of red tide aerosol on the Texas coast","volume":"4","author":"Cheng","year":"2005","journal-title":"Harmful Algae"},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"311","DOI":"10.1016\/j.rse.2005.05.013","article-title":"Red tide detection and tracing using MODIS fluorescence data: A regional example in SW FL coastal waters","volume":"97","author":"Hu","year":"2005","journal-title":"Remote Sens. Environ."},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"E427","DOI":"10.1175\/BAMS-D-18-0302.1","article-title":"The California Baseline Ozone Transport Study (CABOTS)","volume":"101","author":"Faloona","year":"2020","journal-title":"Bull. Am. Meteor. Soc."},{"key":"ref_73","doi-asserted-by":"crossref","unstructured":"Zhao, K., Bao, Y., Huang, J., Wu, Y., Moshary, F., Arend, M., Wang, Y., and Lee, X. (2019). A high-resolution modeling study of a heat wave-driven ozone exceedance event in New York City and surrounding regions. Atmos. Environ., 199.","DOI":"10.1016\/j.atmosenv.2018.10.059"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/3\/369\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T05:13:46Z","timestamp":1760159626000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/13\/3\/369"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1,21]]},"references-count":73,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2021,2]]}},"alternative-id":["rs13030369"],"URL":"https:\/\/doi.org\/10.3390\/rs13030369","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,1,21]]}}}