Assessing the Altitudinal Potential Source Contribution Function of Aerosol Optical Depth in the West Coast of Korean Peninsula during the DRAGON-KORUS-AQ Campaign

2017 ◽  
Vol 33 (1) ◽  
pp. 19-30 ◽  
Author(s):  
Sea-Ho Oh ◽  
Jhoon Kim ◽  
Zang-Ho Shon ◽  
Min-Suk Bae
2003 ◽  
Vol 37 (31) ◽  
pp. 4381-4392 ◽  
Author(s):  
Tarja Yli-Tuomi ◽  
Philip K. Hopke ◽  
Pentti Paatero ◽  
M.Shamsuzzoha Basunia ◽  
Sheldon Landsberger ◽  
...  

2016 ◽  
Vol 2016 ◽  
pp. 1-15 ◽  
Author(s):  
Jae-Won Choi ◽  
Yumi Cha ◽  
Hae-Dong Kim ◽  
Sung-Dae Kang

The present study analyzed the interdecadal variation by applying the statistical change-point analysis to the frequency of the tropical cyclone (TC) that landed in the Korean Peninsula (KP) for the recent 54 years (1951 to 2004) and performed cluster classification of the Korea-landfall TC tracks using a Fuzzy Clustering Method (FCM). First, in the interdecadal variation analysis, frequency of TC that landed in the KP was largely categorized into three periods: high frequency period from 1951 to 1965, low frequency period from 1966 to 1985, and high frequency period from 1986 to 2004. The cluster analysis result of the Korea-landfall TC tracks produced the optimum number of clusters as four. In more detail, Cluster A refers to a pattern of landing in the southern coast in the KP starting from East China Sea followed by heading north while Cluster B refers to a pattern of landing in the west coast of the Korean Peninsula, also starting from East China Sea followed by heading north. Cluster C refers to a pattern of landing in the southern region of the west coast in the KP moving from mainland China while Cluster D refers to a pattern of landing in the mid-north region of the west coast in the Korean Peninsula, also moving from mainland China.


2013 ◽  
Vol 65 ◽  
pp. 254-259 ◽  
Author(s):  
Sok Kuh Kang ◽  
Kyung Tae Jung ◽  
Eun Jin Kim ◽  
Jae Kwi So ◽  
Jong Jin Park

Author(s):  
Subramanian Veerasingam ◽  
Jassim A Al-Khayat ◽  
Ponnumony Vethamony

Coronavirus disease 2019 (COVID-19) has become a global pandemic. The personal protection equipment (PPE), especially medical face masks and N95 filtering face piece respirators (FFRs) are typically worn by people at home/office/working place/outside to protect from infection. Thus, the increase in consumption of facemasks and FFRs across Qatar has given rise to a new environmental challenge, adding to the vast plastic waste in the environment. Our team has already established the baseline levels of marine litter (ML) including plastic waste along the west coast of Qatar based on November 2019 ML survey (Veerasingam et al., 2020a). To study the impact of COVID-19 on ML, we have conducted another survey along the west coast of Qatar in July 2020. The distribution of PPE is higher on the southern part of west coast of Qatar than the northern part. Attenuated total reflectance - Fourier transform infrared (ATR-FTIR) spectroscopy was used to characterize the polymer types of surgical facemasks, N95 FFRs and gloves. Polypropylene (PP) and polyamide (PA) were the abundant polymer types of PPEs. This study confirmed that the PPE could be a potential source for microplastic contaminant in the environment, especially if the present situation continues. Therefore, proper waste removal measures have to be followed.


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