{"658488":{"#nid":"658488","#data":{"type":"event","title":"Phd Defense by Nirupama Senthilkumar","body":[{"value":"\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ESchool of Civil and Environmental Engineering\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EPh.D. Thesis Defense Announcement\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDevelopment and Application of Data Fusion and Source Apportionment Methods over the\u003C\/p\u003E\r\n\r\n\u003Cp\u003EContiguous United States\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EBy\u003C\/strong\u003E:\u003C\/p\u003E\r\n\r\n\u003Cp\u003ENirupama Senthilkumar\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAdvisor:\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. James Mulholland (CEE), Dr. Armistead Russell (CEE)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ECommittee Members:\u003C\/strong\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Jennifer Kaiser (CEE), Dr. Pengfei Liu (EAS), Dr. Howard Chang (Emory\u003C\/p\u003E\r\n\r\n\u003Cp\u003EUniversity)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDate and Time:\u003C\/strong\u003E\u0026nbsp; Wednesday, June 8, 2022 9:00AM\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocation:\u0026nbsp;SEB122, \u003Ca href=\u0022https:\/\/gatech.zoom.us\/j\/97574838364\u0022\u003EZoom\u003C\/a\u003E\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EExposure to air pollution has been linked to numerous adverse health effects such as cardiovascular\u003Cbr \/\u003E\r\ndiseases, pulmonary diseases, cancer, and increased morbidity. Having accurate air quality exposure\u003Cbr \/\u003E\r\nestimates are important to understanding the drivers of negative health outcomes. Air quality simulations\u003Cbr \/\u003E\r\nand observational data are used as inputs in health analysis to estimate exposure to air pollution.\u003Cbr \/\u003E\r\nHowever, observational data are limited spatially and temporally while air quality simulated data have\u003Cbr \/\u003E\r\nbiases associated. This dissertation presents multiple computational techniques to provide\u003Cbr \/\u003E\r\nspatiotemporally accurate and complete air quality and source impacts fields for health analysis. A data\u003Cbr \/\u003E\r\nfusion method along with a random forest technique is used to generate fused fields for particulate, gas,\u003Cbr \/\u003E\r\nand trace metal species at a 12km resolution for the years 2005-2014. The data fusion method combines\u003Cbr \/\u003E\r\ngridded simulations from the community multiscale air quality (CMAQ) model and point source\u003Cbr \/\u003E\r\nobservational data to create more accurate spatiotemporally complete air quality fields. The data fusion\u003Cbr \/\u003E\r\nmethod creates high temporal correlations at observational locations for all species studied. The random\u003Cbr \/\u003E\r\nforest approach uses land use variable information to correct spatial bias in annual average for fused field\u003Cbr \/\u003E\r\nproducts. The data fusion and random forest method showed large improvements in spatial and temporal\u003Cbr \/\u003E\r\ncorrelation for major particulate and gas species, and moderate improvements for trace metal pollutants.\u003Cbr \/\u003E\r\nThe fused field products were then used in a receptor model source apportionment analysis for\u003Cbr \/\u003E\r\nparticulate matter. A receptor model, chemical mass balance with gas constraints (CMBGC), was applied\u003Cbr \/\u003E\r\nin each 12km fused field grid cell to generate spatiotemporally complete source impact fields for 10\u003Cbr \/\u003E\r\nparticulate matter sources: gasoline vehicles, diesel vehicles, dust, biomass burning, coal combustion,\u003Cbr \/\u003E\r\nammonium sulfate, ammonium bisulfate, ammonium nitrate, secondary organic carbon, and salt. A\u003Cbr \/\u003E\r\nCMBGC model was also applied to each 12km CMAQ grid cell to compare the improvements made in\u003Cbr \/\u003E\r\nsource impact fields from applying the data fusion and random forest correction. The comparison showed\u003Cbr \/\u003E\r\nthat data fusion was necessary to produce accurate source impact fields.\u003Cbr \/\u003E\r\nThe implications from this research show that data fusion can provide large improvements in air quality\u003Cbr \/\u003E\r\nfields for health analysis. Fused fields are also able to provide spatiotemporally complete particulate\u003Cbr \/\u003E\r\nmatter source impact fields that match source impacts generated from observations. The daily data fused\u003Cbr \/\u003E\r\nfields for 22 species and daily source impact fields are made available for future health and air quality\u003Cbr \/\u003E\r\nanalysis.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Development and Application of Data Fusion and Source Apportionment Methods over the Contiguous United States"}],"uid":"27707","created_gmt":"2022-05-25 13:43:08","changed_gmt":"2022-05-25 13:43:08","author":"Tatianna Richardson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2022-06-08T10:00:00-04:00","event_time_end":"2022-06-08T12:00:00-04:00","event_time_end_last":"2022-06-08T12:00:00-04:00","gmt_time_start":"2022-06-08 14:00:00","gmt_time_end":"2022-06-08 16:00:00","gmt_time_end_last":"2022-06-08 16:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"221981","name":"Graduate Studies"}],"categories":[],"keywords":[{"id":"100811","name":"Phd Defense"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}