Evolution of formaldehyde (HCHO) in a plume originating from a petrochemical industry and its volatile organic compounds (VOCs) emission rate estimation

Cho, Changmin; Clair, J. M. St; Liao, J.; Wolfe, G. M.; Jeong, Seokhan; Kang, Dae il; Choi, Jinsoo; Shin, Myunghwan; Park, Jinsoo; Park, Jeong‐Hoo; Fried, Alan; Weinheimer, A. J.; Blake, D. R.; Diskin, G. S.; Ullmann, Kirk; Hall, Samuel R.; Brune, W. H.; Hanisco, T. F.; Min, Kyung‐Eun

doi:10.1525/elementa.2021.00015

Cited by 10 publications

(3 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These results were corroborated by a top-down estimate based on CH 2 O column densities remotely sensed by GeoTASO ( Kwon et al, 2021 ) that exceeded the bottom-up inventory by a factor of 4.0 ± 2.3. The third top-down estimate by Cho et al (n.d.) used a box model to evaluate the build-up in CH 2 O between downwind plumes of the Daesan facility sampled by the DC-8 and Hanseo King Air separated by approximately 4.5 h. This resulted in a value that exceeded the bottom-up inventory by a factor of 2.5 ± 0.4.…”

Section: Korus-aq Findings Related To Controlling Factors For Air Qua...mentioning

confidence: 98%

The Korea–United States Air Quality (KORUS-AQ) field study

Crawford

Ahn

Al-Saadi

et al. 2021

Elementa: Science of the Anthropocene

Self Cite

115

View full text Add to dashboard Cite

The Korea–United States Air Quality (KORUS-AQ) field study was conducted during May–June 2016. The effort was jointly sponsored by the National Institute of Environmental Research of South Korea and the National Aeronautics and Space Administration of the United States. KORUS-AQ offered an unprecedented, multi-perspective view of air quality conditions in South Korea by employing observations from three aircraft, an extensive ground-based network, and three ships along with an array of air quality forecast models. Information gathered during the study is contributing to an improved understanding of the factors controlling air quality in South Korea. The study also provided a valuable test bed for future air quality–observing strategies involving geostationary satellite instruments being launched by both countries to examine air quality throughout the day over Asia and North America. This article presents details on the KORUS-AQ observational assets, study execution, data products, and air quality conditions observed during the study. High-level findings from companion papers in this special issue are also summarized and discussed in relation to the factors controlling fine particle and ozone pollution, current emissions and source apportionment, and expectations for the role of satellite observations in the future. Resulting policy recommendations and advice regarding plans going forward are summarized. These results provide an important update to early feedback previously provided in a Rapid Science Synthesis Report produced for South Korean policy makers in 2017 and form the basis for the Final Science Synthesis Report delivered in 2020.

show abstract

Section: Korus-aq Findings Related To Controlling Factors For Air Qua...mentioning

confidence: 98%

The Korea–United States Air Quality (KORUS-AQ) field study

Crawford

Ahn

Al-Saadi

et al. 2021

Elementa: Science of the Anthropocene

Self Cite

115

View full text Add to dashboard Cite

show abstract

“…Laboratories usually perform monitoring by sampling and analysis using liquid chromatography. The number of sensors for measuring HCHO is limited [37], and there are no cheap, accurate, and sensitive HCHO sensors which can determine low concentrations of formaldehyde with sufficient accuracy.…”

Section: Limitations Of Different Air Pollution Monitoring Technologi...mentioning

confidence: 99%

Environmental Justice and the Use of Artificial Intelligence in Urban Air Pollution Monitoring

Krupnova

Rakova

Bondarenko

et al. 2022

BDCC

View full text Add to dashboard Cite

The main aims of urban air pollution monitoring are to optimize the interaction between humanity and nature, to combine and integrate environmental databases, and to develop sustainable approaches to the production and the organization of the urban environment. One of the main applications of urban air pollution monitoring is for exposure assessment and public health studies. Artificial intelligence (AI) and machine learning (ML) approaches can be used to build air pollution models to predict pollutant concentrations and assess environmental and health risks. Air pollution data can be uploaded into AI/ML models to estimate different exposure levels within different communities. The correlation between exposure estimates and public health surveys is important for assessing health risks. These aspects are critical when it concerns environmental injustice. Computational approaches should efficiently manage, visualize, and integrate large datasets. Effective data integration and management are a key to the successful application of computational intelligence approaches in ecology. In this paper, we consider some of these constraints and discuss possible ways to overcome current problems and environmental injustice. The most successful global approach is the development of the smart city; however, such an approach can only increase environmental injustice as not all the regions have access to AI/ML technologies. It is challenging to develop successful regional projects for the analysis of environmental data in the current complicated operating conditions, as well as taking into account the time, computing power, and constraints in the context of environmental injustice.

show abstract

“…Methane (CH4), ethane (C2H6), and propane (C3H8) are the main compounds of natural gas which may often remain dissolved in crude oil samples after separation and consequentially are released alongside vented VOCs. In addition to degrading air quality, these hydrocarbons can be especially damaging to the environment as they undergo photochemical reactions with nitrogen oxides (NOx) and other compounds in the troposphere, resulting in the production of thermal trapping GHGs which can influence weather patterns and severe weather events, and contribute to climate change through global warming (Cho et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Development of a Tunable Diode Laser Absorption Spectroscopy System for Quantification of Transient Emissions from Liquid Hydrocarbon Storage Tanks

Kirby

View full text Add to dashboard Cite

Fixed-roof atmospheric storage tanks are used throughout the oil and gas sector to store liquid hydrocarbons and are a key source of volatile organic compound (VOC) emissions.Despite their prevalence, vented emissions from these tanks are rarely monitored and remain poorly understood. This thesis presents a non-intrusive, inline optical measurement system to quantify oxygen fraction (which can be used to infer VOC fraction) in the vent line of an uncontrolled tank. The sensor utilizes tunable diode laser absorption spectroscopy with wavelength modulation to target near infrared absorption bands of diatomic oxygen ingested into the tanks during diurnal tank breathing processes and is compact, robust, and compliant with CSA zoning standards. Lab characterizations of two variants of the system are presented. Over the full-scale (0 -20.95% O2) measurement range, the optical variant had a long-term precision of < 0.72% absolute (at 95% confidence) while the detector variant improved this to < 0.31% absolute.I would also like to thank Simon Fiesta-Bianchet for your willingness throughout my project to touch base and chat. Whether it be troubleshooting, field-trip prep, or general mid-day conversations, I very much appreciated getting to know and work with you. Besides all else, thank you for entertaining my 'sanity-checks', thoughts and supporting my courses of action.To Scott Seymour, thank you for your help early on into my start at EERL and for your introduction to 'Canal-basics 101'. This project couldn't have gotten to where it is without a few impromptu troubleshooting projects along the way. It was an honor to learn alongside you.To Dillion Mazerolle, thank you for your help with branching this project and working as an intermediary to initialize the system in Devon, AB.A special thank you to Kevin Sangster for your invaluable help on the manufacturing front, and for your input and willingness to share tips and suggestions along the design iterations of my project. To Kevin, Nick and Alex; thank you for your support and for the chats that always stemmed from a visit to the shop -you guys' rock! To all the members of EERL, both past and present, that made this project worth it.

show abstract

Evolution of formaldehyde (HCHO) in a plume originating from a petrochemical industry and its volatile organic compounds (VOCs) emission rate estimation

Cited by 10 publications

References 50 publications

The Korea–United States Air Quality (KORUS-AQ) field study

The Korea–United States Air Quality (KORUS-AQ) field study

Environmental Justice and the Use of Artificial Intelligence in Urban Air Pollution Monitoring

Development of a Tunable Diode Laser Absorption Spectroscopy System for Quantification of Transient Emissions from Liquid Hydrocarbon Storage Tanks

Contact Info

Product

Resources

About