Chun Gyeong Yoon
Konkuk University
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Featured researches published by Chun Gyeong Yoon.
Desalination and Water Treatment | 2015
Yeongkwon Son; Han-Pil Rhee; Chun Gyeong Yoon; Tae Young Kwon
AbstractThe natural and ecological wastewater treatment system (NEWS) was developed to target organic pollutants and nutrients for decentralized rural communities. The system was installed in Sangwang-dong, Gongju-si, Chungcheongnam-do, South Korea, and operated for about nine months. It consisted of three parts: the anaerobic septic tank, the absorbent-biofilter system (ABS), and the up- and down-flow constructed wetland. The respective nitrogen (N), phosphorus (P), and chemical oxygen demand removal rates of the NEWS were 45.94, 48.65, and 98.47% in the growing season and 27.93, 23.78, and 86.45% in the winter season. The significantly low N and P removal rates could have been caused by microorganism vitality in the ABS, as most of the nutrients occurred in an organic form. Average water temperature of the ABS was 18.13°C in the growing season and 8.289°C in the winter season, which might have influenced the low overall removal rate during the winter season. Performance of the NEWS was efficient, indepe...
Water Science and Technology | 2012
Jae-Ho Jang; Kwang-Wook Jung; Chun Gyeong Yoon
The focus of water quality modeling of Korean streams needs to be shifted from dissolved oxygen to algae or organic matter. In particular, the structure of water quality models should be modified to simulate the biochemical oxygen demand (BOD), which is a key factor in calculating total maximum daily loads (TMDLs) in Korea, using 5-day BOD determined in the laboratory (Bottle BOD(5)). Considering the limitations in simulating organic matter under domestic conditions, we attempted to model total organic carbon (TOC) as well as BOD by using a watershed model. For this purpose, the Soil and Water Assessment Tool (SWAT) model was modified and extended to achieve better correspondence between the measured and simulated BOD and TOC concentrations. For simulated BOD in the period 2004-2008, the Nash-Sutcliffe model efficiency coefficient increased from a value of -2.54 to 0.61. Another indicator of organic matter, namely, the simulated TOC concentration showed that the modified SWAT adequately reflected the observed values. The improved model can be used to predict organic matter and hence, may be a potential decision-making tool for TMDLs. However, it needs further testing for longer simulation periods and other catchments.
Water Science and Technology | 2007
Jong-Hwa Ham; Chun Gyeong Yoon; Ji-Hong Jeon; Hyungsup Kim
Environmental Engineering Research | 2012
Han Pil Rhee; Chun Gyeong Yoon; Seung Jae Lee; Jae Ho Choi; Yeongkwon Son
Water Science and Technology | 2007
J.-H. Jeon; Chun Gyeong Yoon; Kwang-Wook Jung; Jae-Ho Jang
Water Science and Technology | 2007
Kwang-Wook Jung; Chun Gyeong Yoon; Jae-Ho Jang; Ji-Hong Jeon
Water Science and Technology | 2006
Ji-Hong Jeon; Chun Gyeong Yoon; Jong-Hwa Ham; Kwang-Wook Jung
Water Science and Technology | 2007
J.H. Ham; Chun Gyeong Yoon; Kwang-Wook Jung; Jae-Ho Jang
Desalination and Water Treatment | 2010
Sae Bom Lee; Chun Gyeong Yoon; Kwang Wook Jung; Jae Ho Jang; Doug Hee Rhew
Paddy and Water Environment | 2016
Jaeho Choi; Chun Gyeong Yoon; Han-Pil Rhee; Yeongkwon Son; Moonsoo Cho; Je ha Ryu