Zobrazeno 1 - 10
of 188
pro vyhledávání: '"YUNSOO CHOI"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Pioneering the use of the Geostationary Environment Monitoring Spectrometer’s (GEMS) observation data in air quality modeling, we adjusted Asia’s NOx emissions inventory by leveraging the instrument’s unprecedented sampling frequency.
Externí odkaz:
https://doaj.org/article/aabdd4f327964910ab60776ac0ef30eb
Publikováno v:
Environment International, Vol 190, Iss , Pp 108818- (2024)
Despite advancements in satellite instruments, such as those in geostationary orbit, biases continue to affect the accuracy of satellite data. This research pioneers the use of a deep convolutional neural network to correct bias in tropospheric colum
Externí odkaz:
https://doaj.org/article/40c058417d8943829d36ac29109bdb79
Autor:
Mahmoudreza Momeni, Yunsoo Choi, Arash Kashfi Yeganeh, Arman Pouyaei, Jia Jung, Jincheol Park, Mark W. Shephard, Enrico Dammers, Karen E. Cady-Pereira
Publikováno v:
Environment International, Vol 184, Iss , Pp 108473- (2024)
Uncertainty in ammonia (NH3) emissions causes the inaccuracy of fine particulate matter simulations, which is associated with human health. To address this uncertainty, in this work, we employ the iterative finite difference mass balance (iFDMB) tech
Externí odkaz:
https://doaj.org/article/1c5cae86c9754f719445aed294652efd
Autor:
Alqamah Sayeed, Yunsoo Choi, Ebrahim Eslami, Jia Jung, Yannic Lops, Ahmed Khan Salman, Jae-Bum Lee, Hyun-Ju Park, Min-Hyeok Choi
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
Abstract Issues regarding air quality and related health concerns have prompted this study, which develops an accurate and computationally fast, efficient hybrid modeling system that combines numerical modeling and machine learning for forecasting co
Externí odkaz:
https://doaj.org/article/61a2b4505f114dcaba24ee227ece1377
Autor:
Arman Pouyaei, Bavand Sadeghi, Yunsoo Choi, Jia Jung, Amir H. Souri, Chun Zhao, Chul Han Song
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 13, Iss 6, Pp n/a-n/a (2021)
Abstract To improve the representation of convective mixing of atmospheric pollutants in the presence of clouds, we developed a convection module based on Kain and Fritsch (KF) method and implemented it in the Community Multiscale Air Quality model.
Externí odkaz:
https://doaj.org/article/532aa45bdab34a639a31971aa0512d2a
Publikováno v:
Frontiers in Earth Science, Vol 8 (2020)
The Gobi Desert in southern Mongolia has been identified as the strongest dust storm hot spot threatening public health and socio-economic activities in East Asian countries. Despite its significance, the complete mapping of the aeolian surface erosi
Externí odkaz:
https://doaj.org/article/7c59c100d644493e956bfd2b27f549cf
Publikováno v:
Terrestrial, Atmospheric and Oceanic Sciences, Vol 30, Iss 4, Pp 541-562 (2019)
To fulfil the strong need for monitoring seasonal difference of velocity over the Greenland ice sheet (GrIS), we developed an approach based on the fusion of multiple temporal and multi sensor remote sensing observations. We used spaceborne synthetic
Externí odkaz:
https://doaj.org/article/a09e00dd3ed144eabc41e93e84129caa
Publikováno v:
Environment International, Vol 130, Iss , Pp - (2019)
Diesel emissions from freight transportation activities are a key threat to public health. This study examined the air quality and public health impacts of projected freight-related emissions in 2050 over the continental United States. Three emission
Externí odkaz:
https://doaj.org/article/d9dcb97a2814403584838ebdbbc42e3e
Autor:
Yunsoo Choi, Dohyeon Kim
Publikováno v:
Cogent Economics & Finance, Vol 6, Iss 1 (2018)
Entrepreneurial firms in their early stages cannot finance their own capital sufficiently; hence, external investment is crucial for their survival. Angels, venture capital, and governmental support have played key roles in entrepreneurial financing.
Externí odkaz:
https://doaj.org/article/737f4a559ff44d3ba6fb723ce61e60da
Publikováno v:
Remote Sensing, Vol 11, Iss 10, p 1199 (2019)
The unprecedentedly strong 2016 Gyeongju and 2017 Pohang earthquakes on the Korean Peninsula aroused public concern regarding seismic hazards previously considered improbable. In this study, we investigated the effects of recent seismic activity clos
Externí odkaz:
https://doaj.org/article/e0ee07c5c4d7445f846afd035d4efd6e