@inproceedings{guertault_jones_hall_kolar_2021, title={Investigating Impact of Disruption to Biological and Agricultural Engineering Senior Design Capstone Courses Due to Covid-19}, url={https://doi.org/10.18260/1-2--37395}, DOI={10.18260/1-2--37395}, abstractNote={Senior Capstone Design is a culminating course of the undergraduate engineering curriculum which gives students the opportunity to work in teams on designing a solution to real-world problems submitted and mentored by industrial and research project sponsors. In Biological and Agricultural Engineering disciplines, these projects can involve tasks such as field data collection, laboratory experiments or fabrication of prototypes that require access to specific laboratories and equipment. In the Spring 2020, Universities across the US shut down to prevent the spread of COVID-19 and transitioned to remote or virtual courses. The objective of this study was to investigate the impact of the transition to remote and virtual courses on senior design or capstone courses in Biological and Agricultural Engineering to find lessons learned and help plan for future disruption in these courses. Four Senior Design Capstone Course instructors from different Biological and Agricultural Engineering departments were interviewed to gather their perspectives and experiences regarding changes in instruction;student projects' management and outcomes;as well as students' learning and performance in the course. The shift to remote learning triggered frustration on both students and instructors' sides. They also faced unprecedented challenges with technology and access. Instructors acknowledged student resilience and adaptability to the situation. The creative flexibility that instructors applied to course delivery, project deliverables and assessment is a key tool that allowed them to maintain the real-world experiential nature of BAE capstone programs. © American Society for Engineering Education, 2021}, booktitle={(c) American Society for Engineering Education, 2021}, author={Guertault, Lucie and Jones, Tamecia and Hall, Eric and Kolar, Praveen}, year={2021}, month={Jul} }
 @article{braggio_hall_weber_huff_2022, title={Case-Crossover Spatial Lag Grid Differences Between Aerosol Optical Depth-PM2.5 and Respiratory-Cardiovascular Emergency Department Visits and Inpatient Hospitalizations in Baltimore, Maryland, USA: Identification of Homogeneous Spatial Areas}, volume={1}, url={https://doi.org/10.20944/preprints202201.0118.v1}, DOI={10.20944/preprints202201.0118.v1}, abstractNote={Optimal use of aerosol optical depth (AOD)-PM2.5 fused surfaces in epidemiologic studies requires homogeneous temporal and spatial fused surfaces. No analytic method is currently available to evaluate the spatial dimension. The temporal case-crossover design was modified to assess the association between Community Multiscale Air Quality (CMAQ) lag grids and four respiratory-cardiovascular hospital events. The maximum number of adjacent lag grids with the expo-sure-health outcome association determined the size of the homogeneous spatial area. The largest homogeneous spatial area included 5 grids (720 km2) and the smallest 2 grids (288 km2). PMC and PMCK analyses of ED asthma, IP asthma, IP MI, and IP HF were significantly higher in rural grids without air monitors than in urban with air monitors at lag grids 0, 1, and 01. Grids without air monitors had higher AOD-PM2.5 concentration levels, poverty percent, population density, and environmental hazards than grids with air monitors. ED asthma, IP MI, and HF PMCK ORs were significantly higher during the warm season than during the cold season at lag grids 0, 1, 01, and 04. The possibility of elevated fine PM and other demographic and environmental risk factors contributing to elevated respiratory-cardiovascular diseases in persons residing in rural areas was discussed.}, publisher={MDPI AG}, author={Braggio, John T. and Hall, Eric S. and Weber, Stephanie A. and Huff, Amy K}, year={2022}, month={Jan} }
 @article{braggio_hall_weber_huff_2022, title={Case-Crossover Spatial Lag Grid Differences Between Aerosol Optical Depth-PM2.5 and Respiratory-Cardiovascular Emergency Department Visits and Inpatient Hospitalizations in Baltimore, Maryland, USA: Identification of Homogeneous Spatial Areas}, volume={3}, url={https://doi.org/10.20944/preprints202201.0118.v2}, DOI={10.20944/preprints202201.0118.v2}, abstractNote={Optimal use of Hierarchical Bayesian Model (HBM) assembled aerosol optical depth (AOD)-PM2.5 fused surfaces in epidemiologic studies requires homogeneous temporal and spatial fused surfaces. No analytical method is available to evaluate spatial heterogeneity. The temporal case-crossover design was modified to assess the spatial association between four experimental AOD-PM2.5 fused surfaces and four respiratory-cardiovascular hospital events in 12 km2 grids. The maximum number of adjacent lag grids with significant odds ratios (ORs) identified homogeneous spatial areas (HOSAs). The largest HOSA included 5 grids (lag grids 04; 720 km2) and the smallest HOSA contained 2 grids (lag grids 01; 288 km2). Emergency department asthma and inpatient asthma, myocardial infarction, and heart failure ORs were significantly higher in rural grids without air monitors than in urban grids with air monitors at lag grids 0, 1, and 01. Rural grids had higher AOD-PM2.5 concentration levels, population density, and poverty percent than urban grids. Warm season ORs were significantly higher than cold season ORs for all health outcomes at lag grids 0, 1, 01, and 04. The possibility of elevated fine and ultrafine PM and other demographic and environmental risk factors synergistically contributing to elevated respiratory-cardiovascular chronic diseases in persons residing in rural areas was discussed}, journal={Preprints.org}, publisher={MDPI AG}, author={Braggio, John T. and Hall, Eric S. and Weber, Stephanie A. and Huff, Amy K}, year={2022}, month={Mar} }
 @article{braggio_hall_weber_huff_2022, title={New Homogeneous Spatial Areas Identified Using Case-Crossover Spatial Lag Grid Differences between Aerosol Optical Depth-PM2.5 and Respiratory-Cardiovascular Emergency Department Visits and Hospitalizations}, volume={13}, url={https://doi.org/10.3390/atmos13050719}, DOI={10.3390/atmos13050719}, abstractNote={Optimal use of Hierarchical Bayesian Model (HBM)-assembled aerosol optical depth (AOD)-PM2.5 fused surfaces in epidemiologic studies requires homogeneous temporal and spatial fused surfaces. No analytical method is available to evaluate spatial heterogeneity. The temporal case-crossover design was modified to assess the spatial association between four experimental AOD-PM2.5 fused surfaces and four respiratory–cardiovascular hospital events in 12 km2 grids. The maximum number of adjacent lag grids with significant odds ratios (ORs) identified homogeneous spatial areas (HOSAs). The largest HOSA included five grids (lag grids 04; 720 km2) and the smallest HOSA contained two grids (lag grids 01; 288 km2). Emergency department asthma and inpatient asthma, myocardial infarction, and heart failure ORs were significantly higher in rural grids without air monitors than in urban grids with air monitors at lag grids 0, 1, and 01. Rural grids had higher AOD-PM2.5 concentration levels, population density, and poverty percentages than urban grids. Warm season ORs were significantly higher than cold season ORs for all health outcomes at lag grids 0, 1, 01, and 04. The possibility of elevated fine and ultrafine PM and other demographic and environmental risk factors synergistically contributing to elevated respiratory–cardiovascular chronic diseases in persons residing in rural areas was discussed.}, number={5}, journal={Atmosphere}, publisher={MDPI AG}, author={Braggio, John T. and Hall, Eric S. and Weber, Stephanie A. and Huff, Amy K.}, year={2022}, month={Apr}, pages={719} }
 @inproceedings{hall_2021, title={Assessing Dungeness River Functionality and Effectiveness of Best Management Practices (BMPs) Using an Ecological Functional Approach}, author={Hall, E.}, year={2021} }
 @article{braggio_hall_weber_huff_2021, title={Contribution of AOD-PM2.5 surfaces to respiratory-cardiovascular hospital events in urban and rural areas in Baltimore, Maryland, USA: New analytical method correctly identified true positive cases and true negative controls}, volume={262}, url={https://doi.org/10.1016/j.atmosenv.2021.118629}, DOI={10.1016/j.atmosenv.2021.118629}, abstractNote={Epidemiologic studies have used aerosol optical depth (AOD)-PM2.5 as a proxy for ambient PM2.5 in urban and rural areas, even though its validation with air monitors has only occurred in urban areas. The contribution of elevated AOD-PM2.5 on respiratory-cardiovascular true positive (TP) cases, exposed to high PM2.5, and true negative (TN) controls, not exposed to elevated PM2.5, was evaluated in 72 Community Multiscale Air Quality (CMAQ) grids with (urban) and without (rural) air monitors. The odds ratio (OR) algorithm and the newly developed beta (ẞ) algorithm were used to evaluate the reliability and validity of TP cases, and TN controls in grids with and without air monitors. Four experimental AOD-PM2.5 fused surfaces and four health outcomes were evaluated. Only the linear predictor (ẞ) algorithm reliably and correctly identified TP cases and TN controls, with probabilities ~1.00. The OR algorithm only identified TN controls, with probabilities ~1.00, and significantly overestimated the percentage of TP cases. Regression analyses demonstrated that the OR algorithm's accuracy could be improved if the number of cases for all health outcomes was increased 50.8% in all grids and 73.9% in grids without monitors. Since the number and percentage of TP cases and TN controls were similar in grids with and without air monitors, this outcome suggests that the AOD-PM2.5 and health outcome concentration-response function evaluated in grids with monitors also holds in grids without air monitors. The possible use of AOD-PM2.5 fused surfaces, as another epidemiologic tool, to assess elevated ambient PM2.5 concentration levels to respiratory-cardiovascular hospital events in rural areas is discussed.}, journal={Atmospheric Environment}, publisher={Elsevier BV}, author={Braggio, John T. and Hall, Eric S. and Weber, Stephanie A. and Huff, Amy K.}, year={2021}, month={Oct}, pages={118629} }
 @inproceedings{hall_2021, title={Contribution of Aerosol Optical Depth (AOD) Fine Particulate Matter (PM2.5) Fused Surfaces to Respiratory-Cardiovascular Chronic Disease Hospitalizations in Baltimore}, author={Hall, E.}, year={2021} }
 @article{braggio_hall_weber_huff_2020, title={Contribution of Satellite-Derived Aerosol Optical Depth PM2.5 Bayesian Concentration Surfaces to Respiratory-Cardiovascular Chronic Disease Hospitalizations in Baltimore, Maryland}, volume={11}, ISSN={2073-4433}, url={http://dx.doi.org/10.3390/atmos11020209}, DOI={10.3390/atmos11020209}, abstractNote={The fine particulate matter baseline (PMB), which includes PM2.5 monitor readings fused with Community Multiscale Air Quality (CMAQ) model predictions, using the Hierarchical Bayesian Model (HBM), is less accurate in rural areas without monitors. To address this issue, an upgraded HBM was used to form four experimental aerosol optical depth (AOD)-PM2.5 concentration surfaces. A case-crossover design and conditional logistic regression evaluated the contribution of the AOD-PM2.5 surfaces and PMB to four respiratory-cardiovascular hospital events in all 99 12 km2 CMAQ grids, and in grids with and without ambient air monitors. For all four health outcomes, only two AOD-PM2.5 surfaces, one not kriged (PMC) and the other kriged (PMCK), had significantly higher Odds Ratios (ORs) on lag days 0, 1, and 01 than PMB in all grids, and in grids without monitors. In grids with monitors, emergency department (ED) asthma PMCK on lag days 0, 1 and 01 and inpatient (IP) heart failure (HF) PMCK ORs on lag days 01 were significantly higher than PMB ORs. Warm season ORs were significantly higher than cold season ORs. Independent confirmation of these results should include AOD-PM2.5 concentration surfaces with greater temporal-spatial resolution, now easily available from geostationary satellites, such as GOES-16 and GOES-17.}, number={2}, journal={Atmosphere}, publisher={MDPI AG}, author={Braggio, John T. and Hall, Eric S. and Weber, Stephanie A. and Huff, Amy K.}, year={2020}, month={Feb}, pages={209} }
 @book{hall_lin_hall_2020, place={Washington, DC}, title={Regional Sustainable Environmental Science (RESES): Floating Vegetation Islands: Using Traditional Ecological Knowledge (TEK) for Development of Leading Indicators of Ecosystem Function for Best Management Practice (BMP) Effectiveness, Water Quality Standards, Biological Criteria, and Control of Harmful Algal Blooms (HABs)}, DOI={10.13140/RG.2.2.27776.25604}, number={EPA/600/R-20/298EPA/600/R-20/298}, institution={Environmental Protection Agency}, author={Hall, E.S. and Lin, J.T. and Hall, R.K.}, year={2020}, month={Sep} }
 @article{hall_hall_aron_swanson_philbin_schafer_jones-lepp_heggem_lin_wilson_et al._2019, title={An Ecological Function Approach to Managing Harmful Cyanobacteria in Three Oregon Lakes: Beyond Water Quality Advisories and Total Maximum Daily Loads (TMDLs)}, volume={11}, url={https://www.mdpi.com/2073-4441/11/6/1125}, DOI={10.3390/w11061125}, abstractNote={The Oregon Department of Environmental Quality (ODEQ) uses Total Maximum Daily Load (TMDL) calculations, and the associated regulatory process, to manage harmful cyanobacterial blooms (CyanoHABs) attributable to non-point source (NPS) pollution. TMDLs are based on response (lagging) indicators (e.g., measurable quantities of NPS (nutrients: nitrogen {N} and phosphorus {P}), and/or sediment), and highlight the negative outcomes (symptoms) of impaired water quality. These response indicators belatedly address water quality issues, if the cause is impaired riparian functions. Riparian functions assist in decreasing the impacts of droughts and floods (through sequestration of nutrients and excess sediment), allow water to remain on the land surface, improve aquatic habitats, improve water quality, and provide a focus for monitoring and adaptive management. To manage water quality, the focus must be on the drivers (leading indicators) of the causative mechanisms, such as loss of ecological functions. Success in NPS pollution control, and maintaining healthy aquatic habitats, often depends on land management/land use approaches, which facilitate the natural recovery of stream and wetland riparian functions. Focusing on the drivers of ecosystem functions (e.g., vegetation, hydrology, soil, and landform), instead of individual mandated response indicators, using the proper functioning condition (PFC) approach, as a best management practice (BMP), in conjunction with other tools and management strategies, can lead to pro-active policies and approaches, which support positive change in an ecosystem or watershed, and in water quality improvement.}, number={6}, journal={Water}, publisher={MDPI AG}, author={Hall, Eric and Hall, Robert K. and Aron, Joan L. and Swanson, Sherman and Philbin, Michael J. and Schafer, Robin J. and Jones-Lepp, Tammy and Heggem, Daniel T. and Lin, John and Wilson, Eric and et al.}, year={2019}, month={May}, pages={1125} }
 @article{hall_hall_swanson_yee_kozlowski_philbin_heggem_lin_aron_schafer_et al._2019, title={Assessing Dungeness River Functionality and Effectiveness of Best Management Practices (BMPs) Using an Ecological Functional Approach}, volume={9}, number={2}, journal={American Journal of Environmental Engineering}, author={Hall, E.S. and Hall, R.K. and Swanson, S.R. and Yee, W. and Kozlowski, D. and Philbin, M.J. and Heggem, D.T. and Lin, J.T. and Aron, J.L. and Schafer, R.J. and et al.}, year={2019}, month={Oct}, pages={36–54} }
 @inproceedings{hall_2019, title={Contribution of Aerosol Optical Depth (AOD) Fine Particulate Matter (PM2.5) Fused Surfaces in Assessing Risk of Respiratory-Cardiovascular Hospitalizations and Emergency Room Visits in Baltimore}, author={Hall, E.}, year={2019} }
 @article{hall_hall_aron_swanson_philbin_schafer_jones-lepp_heggem_lin_wilson_et al._2019, title={Response to Comments for “An Ecological Function Approach to Managing Harmful Cyanobacteria in Three Oregon Lakes: Beyond Water Quality Advisories and Total Maximum Daily Loads (TMDLs)”, Water 2019, 11, 1125}, url={https://doi.org/10.3390/w11122484}, DOI={10.3390/w11122484}, abstractNote={The commenter’s key argument is that Diamond Lake’s problem is strictly one of biomass, i.e., introduction of the invasive Tui Chub fish. There are a few things to note in that respect. The Tui Chub is a bait fish. It is a lower-order prey fish for higher-order trout/salmonid species. Tui Chub is zooplanktivorous. Since the Tui Chub feed on zooplankton, if they themselves are prey for other species (or are being “culled” by artificial means), and there is no other entity to feed on the plankton and algae, the result would be a mass of plankton/algae bloom (i.e., harmful algal blooms (HABs)). This would lead to anoxic conditions in the euphotic zone, which puts even more stress on the higher-order trout/salmonid species. Our work found that the biological community (i.e., invertebrates and fish) are lagging indicators (i.e., response indicators).}, journal={Water}, author={Hall, Eric and Hall, Robert and Aron, Joan and Swanson, Sherman and Philbin, Michael and Schafer, Robin and Jones-Lepp, Tammy and Heggem, Daniel and Lin, John and Wilson, Eric and et al.}, year={2019}, month={Nov} }
 @inproceedings{hall_2019, title={Sensors and Tools and Exposure to Ultrafine Particles I}, author={Hall, E.}, year={2019} }
 @inproceedings{hall_2019, title={Using Vegetation Islands to Reduce the Impacts of Non-point Source Impairments: A Chemehuevi Indian Tribe (CIT) and Colorado River Indian Tribe (CRIT) Case Study}, author={Hall, E.}, year={2019} }
 @inproceedings{hall_2018, title={Estimating Asthma, Myocardial Infarction, and Heart Failure Hospitalizations and Emergency Room Visits in New York City from Exposure to Ambient Fine Particulate Matter using a Hierarchical Bayesian Model Approach}, author={Hall, E.}, year={2018} }
 @inproceedings{hall_2018, title={Perceptions of environmental health risks among residents in the ‘Toxic Doughnut’: Opportunities for risk screening and community mobilization}, author={Hall, E.}, year={2018} }
 @book{hall_2018, place={Washington, D.C.}, title={Temporal-Spatial Ambient Concentrator Estimator (T-SpACE): Hierarchical Bayesian Model Software Used to Estimate Ambient Concentrations of NAAQS Air Pollutants in Support of Health Studies}, number={EPA/600/R-18/021}, institution={Environmental Protection Agency}, author={Hall, E.S.}, year={2018}, month={Jan} }
 @book{hall_2018, place={Washington, DC}, title={Transfer of Tribal-FERST (Pre-Release Version) Website to Tribal Partners}, number={EPA/600/X-18/228,}, institution={Environmental Protection Agency}, author={Hall, E.S.}, year={2018}, month={Sep} }
 @inproceedings{hall_2018, title={USEPA ORD Tribal Environmental Research Program (TERP): What’s in a Name?}, author={Hall, E.}, year={2018} }
 @article{a decision support tool for sustainable land use, transportation, buildings/infrastructure, and materials management_2017, url={https://publons.com/wos-op/publon/1200622/}, DOI={10.5923/j.ajee.20170702.02}, journal={American Journal of Environmental Engineering}, year={2017}, month={Apr} }
 @article{hall_2017, title={Comparison of Five Modeling Approaches to Quantify and Estimate the Effect of Clouds on the Radiation Amplification Factor (RAF) for Solar Ultraviolet Radiation}, volume={8}, ISSN={2073-4433}, url={http://dx.doi.org/10.3390/atmos8080153}, DOI={10.3390/atmos8080153}, abstractNote={A generally accepted value for the Radiation Amplification Factor (RAF), with respect to the erythemal action spectrum for sunburn of human skin, is −1.1, indicating that a 1.0% increase in stratospheric ozone leads to a 1.1% decrease in the biologically damaging UV radiation in the erythemal action spectrum reaching the Earth. The RAF is used to quantify the non-linear change in the biologically damaging UV radiation in the erythemal action spectrum as a function of total column ozone (O3). Spectrophotometer measurements recorded at ten US monitoring sites were used in this analysis, and over 71,000 total UVR measurement scans of the sky were collected at those 10 sites between 1998 and 2000 to assess the RAF value. This UVR dataset was examined to determine the specific impact of clouds on the RAF. Five de novo modeling approaches were used on the dataset, and the calculated RAF values ranged from a low of −0.80 to a high of −1.38.}, number={12}, journal={Atmosphere}, publisher={MDPI AG}, author={Hall, Eric}, year={2017}, month={Aug}, pages={153} }
 @inproceedings{hall_2017, title={The Multi-Sector Sustainability Browser (MSSB): Planning and Developing Sustainability Initiatives Affecting Land Use}, author={Hall, E.}, year={2017} }
 @inproceedings{hall_2017, title={The Multi‐Sector Sustainability Browser: A Tool for Understanding Sustainability}, author={Hall, E.}, year={2017} }
 @article{weber_insaf_hall_talbot_huff_2016, title={Assessing the impact of fine particulate matter (PM 2.5 ) on respiratory-cardiovascular chronic diseases in the New York City Metropolitan area using Hierarchical Bayesian Model estimates}, volume={151}, ISSN={0013-9351}, url={http://dx.doi.org/10.1016/j.envres.2016.07.012}, DOI={10.1016/j.envres.2016.07.012}, abstractNote={An enhanced research paradigm is presented to address the spatial and temporal gaps in fine particulate matter (PM2.5) measurements and generate realistic and representative concentration fields for use in epidemiological studies of human exposure to ambient air particulate concentrations. The general approach for research designed to analyze health impacts of exposure to PM2.5 is to use concentration data from the nearest ground-based air quality monitor(s), which typically have missing data on the temporal and spatial scales due to filter sampling schedules and monitor placement, respectively. To circumvent these data gaps, this research project uses a Hierarchical Bayesian Model (HBM) to generate estimates of PM2.5 in areas with and without air quality monitors by combining PM2.5 concentrations measured by monitors, PM2.5 concentration estimates derived from satellite aerosol optical depth (AOD) data, and Community-Multiscale Air Quality (CMAQ) model predictions of PM2.5 concentrations. This methodology represents a substantial step forward in the approach for developing representative PM2.5 concentration datasets to correlate with inpatient hospitalizations and emergency room visits data for asthma and inpatient hospitalizations for myocardial infarction (MI) and heart failure (HF) using case-crossover analysis. There were two key objective of this current study. First was to show that the inputs to the HBM could be expanded to include AOD data in addition to data from PM2.5 monitors and predictions from CMAQ. The second objective was to determine if inclusion of AOD surfaces in HBM model algorithms results in PM2.5 air pollutant concentration surfaces which more accurately predict hospital admittance and emergency room visits for MI, asthma, and HF. This study focuses on the New York City, NY metropolitan and surrounding areas during the 2004-2006 time period, in order to compare the health outcome impacts with those from previous studies and focus on any benefits derived from the changes in the HBM model surfaces. Consistent with previous studies, the results show high PM2.5 exposure is associated with increased risk of asthma, myocardial infarction and heart failure. The estimates derived from concentration surfaces that incorporate AOD had a similar model fit and estimate of risk as compared to those derived from combining monitor and CMAQ data alone. Thus, this study demonstrates that estimates of PM2.5 concentrations from satellite data can be used to supplement PM2.5 monitor data in the estimates of risk associated with three common health outcomes. Results from this study were inconclusive regarding the potential benefits derived from adding AOD data to the HBM, as the addition of the satellite data did not significantly increase model performance. However, this study was limited to one metropolitan area over a short two-year time period. The use of next-generation, high temporal and spatial resolution satellite AOD data from geostationary and polar-orbiting satellites is expected to improve predictions in epidemiological studies in areas with fewer pollutant monitors or over wider geographic areas.}, journal={Environmental Research}, publisher={Elsevier BV}, author={Weber, Stephanie A. and Insaf, Tabassum Z. and Hall, Eric S. and Talbot, Thomas O. and Huff, Amy K.}, year={2016}, month={Nov}, pages={399–409} }
 @inproceedings{for better or for worse environmental health promotion in support of community action_2016, booktitle={International Society for Exposure Science}, year={2016}, month={Oct} }
 @inproceedings{land use-sustainability browser: a decision support tool linking environmental science to social outcomes_2016, booktitle={Society of Environmental Toxicology and Chemistry}, year={2016}, month={Nov} }
 @inproceedings{hall_2016, title={Land Use-Sustainability Browser: A Decision Support Tool Linking Environmental Science to Social Outcomes}, author={Hall, E.S.}, year={2016} }
 @book{hall_2016, place={Washington, DC}, title={Multi-Sector Sustainability Browser (MSSB) User Manual:A Decision Support Tool (DST) for Supporting Sustainability Efforts in Four Areas - Land Use, Transportation, Buildings and Infrastructure, and Materials Management”}, number={EPA/600/R-16/308}, institution={Environmental Protection Agency}, author={Hall, E.S.}, year={2016}, month={Oct} }
 @misc{hall_2016, title={Perceptions of environmental health risks among residents in the ‘Toxic Doughnut’: Opportunities for risk screening and community mobilization}, author={Hall, E.S.}, year={2016} }
 @book{gilliam_hall_2016, place={Washington, DC}, title={Reference and Equivalent Methods Used to Measure National Ambient Air Quality Standards (NAAQS) Criteria Air Pollutants - Volume 1}, number={EPA/600/R-16/139}, institution={Environmental Protection Agency}, author={Gilliam, J.H. and Hall, E.S.}, year={2016}, month={Jun} }
 @book{hall_gilliam_2016, place={Washington, DC}, title={Site Location Details, Air Pollution Monitoring Equipment Used, Aircraft Flight Path Information, and Deployment Configuration for the DISCOVER-AQ (Deriving Information on Surface Conditions from COlumn and VERtically Resolved Observations Relevant to Air Quality Field Campaign in Colorado: Summer 2014}, number={EPA/600/R-16/143}, institution={Environmental Protection Agency}, author={Hall, E.S. and Gilliam, J.H.}, year={2016}, month={Jul} }
 @inproceedings{hall_2015, title={Evaluation and Comparison of Chemiluminescence and UV Photometric Methods for Measuring Ozone Concentrations in Ambient Air}, author={Hall, E.S.}, year={2015} }
 @article{ground-truthing validation to assess the effect of facility locational error on cumulative impacts screening tools_2015, DOI={http://dx.doi.org/10.1155/2015/324683}, abstractNote={Researchers and government regulators have developed numerous tools to screen areas and populations for cumulative impacts and vulnerability to environmental hazards and risk. These tools all rely on secondary data maintained by government agencies as part of the regulatory and permitting process. Stakeholders interested in cumulative impacts screening results have consistently questioned the accuracy and completeness of some of these datasets. In this study, three cumulative impacts screening tools used in California were compared, and ground-truth validation was used to determine the effect database inaccuracy. Ground-truthing showed substantial locational inaccuracy and error in hazardous facility databases and statewide air toxics emission inventories of up to 10 kilometers. These errors resulted in significant differences in cumulative impact screening scores generated by one screening tool, the Environmental Justice Screening Method.}, journal={Geography Journal}, year={2015}, month={Aug} }
 @article{sadd_hall_pastor_morello-frosch_lowe-liang_hayes_swanson_2015, title={Ground-Truthing Validation to Assess the Effect of Facility Locational Error on Cumulative Impacts Screening Tools}, volume={2015}, ISSN={2314-4203 2314-4211}, url={http://dx.doi.org/10.1155/2015/324683}, DOI={10.1155/2015/324683}, abstractNote={Researchers and government regulators have developed numerous tools to screen areas and populations for cumulative impacts and vulnerability to environmental hazards and risk. These tools all rely on secondary data maintained by government agencies as part of the regulatory and permitting process. Stakeholders interested in cumulative impacts screening results have consistently questioned the accuracy and completeness of some of these datasets. In this study, three cumulative impacts screening tools used in California were compared, and ground-truth validation was used to determine the effect database inaccuracy. Ground-truthing showed substantial locational inaccuracy and error in hazardous facility databases and statewide air toxics emission inventories of up to 10 kilometers. These errors resulted in significant differences in cumulative impact screening scores generated by one screening tool, the Environmental Justice Screening Method.}, journal={Geography Journal}, publisher={Hindawi Limited}, author={Sadd, J. L. and Hall, E. S. and Pastor, M. and Morello-Frosch, R. A. and Lowe-Liang, D. and Hayes, J. and Swanson, C.}, year={2015}, month={Aug}, pages={1–8} }
 @article{white_hall_2015, title={Perceptions of environmental health risks among residents in the “Toxic Doughnut”: opportunities for risk screening and community mobilization}, volume={15}, ISSN={1471-2458}, url={http://dx.doi.org/10.1186/s12889-015-2563-y}, DOI={10.1186/s12889-015-2563-y}, abstractNote={Surrounded by landfills, and toxic and hazardous facilities, Altgeld Gardens is located in a "toxic doughnut". With high rates of environmentally-related conditions, residents have called for a community-based environmental health assessment to improve overall health in their community. The purpose of this study was to investigate the attitudes and beliefs of environmental health risks of Altgeld's residents which would assist community organizing efforts and provide the groundwork for a community-based environmental health assessment.A questionnaire was designed and administered to 42 Altgeld residents who also participated in focus groups to assess their perceptions of environmental health risks.All participants were Altgeld residents for at least two years and were fairly representative of the broader community. Physical and social hazards were primarily identified as posing risks to participants' family and the broader community. Physical hazards included the dumping of hazardous waste and landfills; social hazards were crime and drugs.These findings have been useful in community organizing efforts and in program planning for local community-based organizations and public health agencies. The results have also been used to prioritize health and environmental risk issues impacting the community.}, number={1}, journal={BMC Public Health}, publisher={Springer Science and Business Media LLC}, author={White, Brandi M. and Hall, Eric S.}, year={2015}, month={Dec} }
 @inproceedings{contribution of hierarchical bayesian and aerosol optical depth pm2.5 sources to respiratory-cardiovascular chronic diseases_2014, booktitle={International Society of Environmental Epidemiology}, year={2014}, month={Aug} }
 @article{environmental health literacy in support of social action: an environmental justice perspective_2014, url={https://www.neha.org/publications/journal-environmental-health}, journal={Journal of Environmental Health}, year={2014}, month={Aug} }
 @inproceedings{hall_2014, title={Environmental and Psychosocial Contributors to Learning Disparities}, author={Hall, E.S.}, year={2014} }
 @article{environmental health literacy in support of social action: an environmental justice perspective_2014, url={https://publons.com/wos-op/publon/1200630/}, journal={Journal of Environmental Health}, year={2014} }
 @inproceedings{hall_2014, title={Evaluation of small sensor technology for Ozone and Nitrogen during the DISCOVER-AQ Study}, author={Hall, E.S.}, year={2014} }
 @inproceedings{hall_2014, title={Evaluation of small sensor technology for criteria air pollutants at ground-based sites and a citizen science network}, author={Hall, E.S.}, year={2014} }
 @article{integrating sensor monitoring technology into the current air pollution regulatory support paradigm: practical considerations_2014, url={http://www.sapub.org/journal/archive.aspx?journalid=1125&issueid=2132}, DOI={10.5923/j.ajee.20140406.02}, journal={American Journal of Environmental Engineering}, year={2014}, month={Nov} }
 @book{long_hall_beaver_duvall_beaver_kaushik_kronmiller_wheeler_garvey_drake_et al._2014, place={Washington, D.C.}, title={Performance of the Proposed New Federal Reference Method for Measuring Ozone Concentrations in Ambient Air}, number={EPA/600/R-14/432}, institution={Environmental Protection Agency}, author={Long, R.W. and Hall, E.S. and Beaver, M.R. and Duvall, R.M. and Beaver, M.R. and Kaushik, S.M. and Kronmiller, K. and Wheeler, M. and Garvey, S. and Drake, Z. and et al.}, year={2014} }
 @book{hall_sadd_morello-frosch_pastor_2014, place={Washington, D.C.}, title={R9 RARE Final Project Report: Partnering with Environmental Agencies and Communities to Pilot Use of the Environmental Justice Screening Method (EJSM) Cumulative Impacts Tool}, number={EPA/600/R-14/364}, institution={Environmental Protection Agency}, author={Hall, E.S. and Sadd, J.M. and Morello-Frosch, R.A. and Pastor, M.}, year={2014} }
 @inproceedings{hall_2014, place={Location}, title={Review of Federal Reference Method for Ozone: Nitric Oxide – Chemiluminescence}, author={Hall, E.S.}, year={2014}, month={Apr} }
 @article{epa’s reference and equivalent methods research program: supporting naaqs implementation through research, development, and analysis_2012, url={http://www.awma.org/em}, journal={Environmental Manager: Air and Waste Management Association}, year={2012}, month={May} }
 @article{hall_beaver_long_vanderpool_2012, title={EPA’s Reference and Equivalent Methods Research Program: Supporting NAAQS Implementation through Research, Development, and Analysis}, journal={Environmental Manager Magazine}, publisher={Air & Waste Management Association}, author={Hall, E.S. and Beaver, M.R. and Long, R.W. and Vanderpool, R.W.}, year={2012}, pages={8–12} }
 @book{hall_eyth_phillips_2012, place={Washington, D.C.}, title={Hierarchical Bayesian Model (HBM)-Derived Estimates of Air Quality for 2007 - Annual Report}, number={EPA/600/R-12/538}, institution={Environmental Protection Agency}, author={Hall, E.S. and Eyth, A.M. and Phillips, S.B.}, year={2012} }
 @book{hall_eyth_phillips_mason_2012, place={Washington, D.C.}, title={Hierarchical Bayesian Model (HBM)-Derived Estimates of Air Quality for 2008 - Annual Report}, number={EPA/600/R-12/048}, institution={Environmental Protection Agency}, author={Hall, E.S. and Eyth, A.M. and Phillips, S.B. and Mason, R.}, year={2012} }
 @book{morello-frosch_sadd_pastor_hall_2012, place={Washington, D.C.}, title={R9 RARE Final Project Report: How Vulnerability Indicators Affect the Association Between Adverse Birth Outcomes, Air Pollution and Traffic Burden}, number={EPA/600/R-12/014}, institution={Environmental Protection Agency}, author={Morello-Frosch, R. and Sadd, J. and Pastor, M. and Hall, E.S.}, year={2012} }
 @inproceedings{using nasa satellite aerosol optical depth to enhance pm2.5 concentration datasets for use in human health and epidemiology studies_2012, booktitle={American Geophysical Union Fall Meeting}, year={2012}, month={Dec} }
 @book{brown-burkins_miller_keeler_shanley_lawson_jenkins_pendleton_waite_strong_poirot_et al._2011, place={Washington, D.C.}, title={Atmospheric Mercury in New England: Measurement of Deposition, Surface Exchanges and Assimilation in Terrestrial Ecosystems}, number={EPA/600/R-11/069}, institution={Environmental Protection Agency}, author={Brown-Burkins, M. and Miller, E.K. and Keeler, G.J. and Shanley, J. and Lawson, S. and Jenkins, J. and Pendleton, M. and Waite, C. and Strong, A. and Poirot, R. and et al.}, year={2011} }
 @article{morello-frosch_jesdale_english_pastor_sadd_liang_hall_lakin_2011, title={Does Community Vulnerability Amplify the Relationship between traffic exposure and adverse birth outcomes? A University-regulatory research collaborative on environmental health inequalities}, volume={2011}, ISSN={1078-0475}, url={http://dx.doi.org/10.1289/isee.2011.01049}, DOI={10.1289/isee.2011.01049}, abstractNote={Background: Studies within the United States and elsewhere have identified a relationship between air pollution, preterm birth, and low birth weight Spatial variation in air pollutant concentration...}, number={1}, journal={ISEE Conference Abstracts}, publisher={Environmental Health Perspectives}, author={Morello-Frosch, Rachel and Jesdale, Bill and English, Paul and Pastor, Manuel and Sadd, James and Liang, Debbie Lowe and Hall, Eric and Lakin, Matthew}, year={2011}, month={Sep} }
 @book{smith_porter_nysewander_glen_stallings_hall_2011, place={Washington, D.C.}, title={Equating Semi-Continuous (SC) PM2.5 Mass Monitor Measurement Values with Federal Reference Method (FRM) PM2.5 Monitor Measurement Values}, number={EPA/600/R-11/039}, institution={Environmental Protection Agency}, author={Smith, L. and Porter, M. and Nysewander, M. and Glen, G. and Stallings, C. and Hall, E.S.}, year={2011} }
 @misc{hall_2011, title={Quality Assurance Guidance for Software Models used in Research Projects and Regulatory Support Activities}, author={Hall, E.S.}, year={2011}, month={Oct} }
 @inproceedings{does community vulnerability amplify the relationship between traffic exposure and adverse birth outcomes? a university-state-usepa research collaborative on environmental health inequalities_2010, booktitle={American Public Health Association (APHA) 138th Annual Meeting}, year={2010}, month={Nov} }
 @inproceedings{hall_2010, title={EPA Modeling and Monitor Data Provided for CDC EPHT Network}, author={Hall, E.S.}, year={2010}, month={Apr} }
 @inproceedings{hall_2010, title={Environmental Legislation, Regulations, and Sustainability}, author={Hall, E.S.}, year={2010}, month={Apr} }
 @book{hall_dimmick_tikvart_2010, place={Washington, D.C.}, title={Hierarchical Bayesian Model (HBM)-Derived Estimates of Air Quality for 2006 - Annual Report}, number={EPA/600/R-10/021}, institution={Environmental Protection Agency}, author={Hall, E.S. and Dimmick, W.F. and Tikvart, J.}, year={2010} }
 @inproceedings{hall_2009, title={Air Quality Indicators for Environmental Public Health Tracking (EPHT), Why, What and How.}, author={Hall, E.S.}, year={2009}, month={Feb} }
 @inbook{ground-based measurement of solar ultraviolet radiation_2009, url={https://gitebooks.github.io/books/19-mireya-quitzon/mcgraw-hill-yearbook-of-science-and-technology-2-.pdf}, booktitle={McGraw-Hill Yearbook of Science and Technology 2009}, year={2009}, month={Jan} }
 @inproceedings{developing air quality forecasts for environmental public health tracking and analysis_2008, booktitle={2008 EPA Science Forum – 8th Annual Conference}, year={2008}, month={May} }
 @inproceedings{development of alternative pm and ozone exposure prediction methodologies for environmental epidemiology and public health tracking studies_2008, booktitle={ISEE/ISEA 2008 Joint Conference}, year={2008}, month={Nov} }
 @article{measurement of total site mercury emissions from a chlor-alkali plant using ultraviolet differential optical absorption spectroscopy and cell room roof vent monitoring_2009, url={http://www.sciencedirect.com/science/article/pii/S1352231008009448}, DOI={http://dx.doi.org/10.1016/j.atmosenv.2008.10.032}, abstractNote={This technical note describes a United States Environmental Protection Agency (U.S. EPA) measurement project to determine elemental mercury (Hg0) emissions from a mercury cell chlor-alkali (MCCA) facility in the southeastern U.S. during a 53-day monitoring campaign in the fall of 2006. The optical remote sensing (ORS) area source measurement method EPA OTM 10 was used to provide Hg0 flux data for the site. These results are reported and compared with cell room roof-vent monitoring data acquired by the facility for similar time periods. The 24-h extrapolated mercury emission rate estimates determined by the two monitoring approaches are shown to be similar with overall averages in the 400 g day−1 range with maximum values around 1200 g day−1. Results from the OTM 10 measurements, which include both cell room emissions and potential fugitive sources outside the cell room, are shown to be approximately 10% higher than cell room monitoring results indicating that fugitive emissions from outside the cell room produce a small but measurable effect for this site.}, journal={Atmospheric Environment}, year={2009}, month={Jan} }
 @article{thoma_secrest_hall_lee jones_shores_modrak_hashmonay_norwood_2009, title={Measurement of total site mercury emissions from a chlor-alkali plant using ultraviolet differential optical absorption spectroscopy and cell room roof-vent monitoring}, volume={43}, ISSN={1352-2310}, url={http://dx.doi.org/10.1016/j.atmosenv.2008.10.032}, DOI={10.1016/J.ATMOSENV.2008.10.032}, abstractNote={This technical note describes a United States Environmental Protection Agency (U.S. EPA) measurement project to determine elemental mercury (Hg0) emissions from a mercury cell chlor-alkali (MCCA) facility in the southeastern U.S. during a 53-day monitoring campaign in the fall of 2006. The optical remote sensing (ORS) area source measurement method EPA OTM 10 was used to provide Hg0 flux data for the site. These results are reported and compared with cell room roof-vent monitoring data acquired by the facility for similar time periods. The 24-h extrapolated mercury emission rate estimates determined by the two monitoring approaches are shown to be similar with overall averages in the 400 g day−1 range with maximum values around 1200 g day−1. Results from the OTM 10 measurements, which include both cell room emissions and potential fugitive sources outside the cell room, are shown to be approximately 10% higher than cell room monitoring results indicating that fugitive emissions from outside the cell room produce a small but measurable effect for this site.}, number={3}, journal={Atmospheric Environment}, publisher={Elsevier BV}, author={Thoma, Eben D. and Secrest, Cary and Hall, Eric S. and Lee Jones, Donna and Shores, Richard C. and Modrak, Mark and Hashmonay, Ram and Norwood, Phil}, year={2009}, month={Jan}, pages={753–757} }
 @inproceedings{hall_2007, title={A Qualitative Review of Modeling Tools: Applicability for Community-Level Risk Assessments}, author={Hall, E.S.}, year={2007}, month={Oct} }
 @inproceedings{hall_2005, title={Air Toxics Modeling Research Program: An Overview}, author={Hall, E.S.}, year={2005}, month={Oct} }
 @inproceedings{hall_2004, title={EPA UV-B Radiation Monitoring Research Program. Course: Biology 2700 – Environmental Problems}, author={Hall, E.S.}, year={2004}, month={Jan} }
 @inproceedings{hall_2004, title={Elements of a Quality Assurance (QA) System for Modeling Projects}, author={Hall, E.S.}, year={2004}, month={Jan} }
 @inproceedings{hall_2004, title={Model Design Using an Object-Oriented Language (C++) as the Design Tool}, author={Hall, E.S.}, year={2004}, month={Mar} }
 @inproceedings{hall_2003, title={UV Monitoring Program}, author={Hall, E.S.}, year={2003}, month={Mar} }