Exploring Humanistic Layers of Urban Travel

Transfers ◽  
2019 ◽  
Vol 9 (3) ◽  
pp. 99-108
Author(s):  
Jooyoung Kim ◽  
Taehee Kim ◽  
Jinhyoung Lee ◽  
Inseop Shin
Keyword(s):  
South Korea ◽  
Literary Imagination ◽  
Mobile Video ◽  
Urban Travel ◽  
Han River ◽  
Mobile Community ◽  
Restricted Region ◽  
Per Se ◽  
Relationship Of

This think piece approaches urban travel from a mobility humanities perspective, using the example of Seoul, South Korea, a leading metropolis in Asia. The article demonstrates three modes of interpreting urban travel in Seoul: (1) representation by means of mobile video technologies embodying a paradoxical relationship of powers; (2) literary imagination confining a possible mobile community in a restricted region; and (3) philosophical speculation presenting “crossing the Han River” as a spiritual and emotional reproduction of the connection between, and consequential rupture of, heterogeneous territories. The article pays particular attention to the represented, imagined, and speculated dimensions of urban travel, which is understood as a physically practiced and cognitively elaborated production, rather than a predefined movement per se.

scholarly journals Geographical Distribution and Risk Assessment of Volatile Organic Compounds in Tributaries of the Han River Watershed

Agronomy ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 956
Author(s):  
Jong-Kwon Im ◽  
Yong-Chul Cho ◽  
Hye-Ran Noh ◽  
Soon-Ju Yu
Keyword(s):  
Volatile Organic Compounds ◽  
South Korea ◽  
Organic Compounds ◽  
Control Strategies ◽  
Anthropogenic Activities ◽  
River Watershed ◽  
Han River ◽  
Detection Frequency ◽  
Volatile Organic ◽  
Mean Concentration

Volatile organic compounds (VOCs), with negative impacts on the aquatic ecosystem, are increasingly released into the environment by anthropogenic activities. Water samples were collected from five areas of the Han River Watershed (HRW) tributaries, South Korea, to detect 11 VOCs, which were classified as halogenated aliphatic hydrocarbons (HAHs) and aromatic hydrocarbons (AHs). Among the 11 VOCs, 1,1-dichloroethylene, 1,1,1-trichloroethane, and vinyl chloride were undetected. The highest concentration compounds were chloroform (0.0596 ± 0.1312 µg/L), trichloroethylene (0.0253 ± 0.0781 µg/L), and toluene (0.0054 ± 0.0139 µg/L). The mean concentration (0.0234 µg/L) and detection frequency (37.0%) of HAHs were higher than those of AHs (0.0036 µg/L, 21.0%, respectively). The Imjin Hantan River area exhibited the highest mean concentration (0.2432 µg/L) and detection frequency (22.9%), because it is located near industrial complexes, thus, highlighting their role as important VOC sources. However, the detected VOCs had lower concentrations than those permitted by the EU, WHO, USA, and South Korea drinking water guidelines. Ecological risks associated with the VOCs were estimated by risk quotient (RQ); consequently, the predicted no-effect concentration was 0.0029 mg/L, and the toluene and styrene RQ values were >1 and >0.5, respectively. The findings may facilitate policymakers in designing pollution control strategies.

Occurrence and characteristics of microplastics in fish of the Han River, South Korea: Factors affecting microplastic abundance in fish

2022 ◽  
Vol 206 ◽  
pp. 112647
Author(s):  
Tae-Jin Park ◽  
Moon-Kyung Kim ◽  
Seung-Hyun Lee ◽  
Young-Sun Lee ◽  
Mun-Ju Kim ◽  
...  
Keyword(s):  
South Korea ◽  
Factors Affecting ◽  
Han River

scholarly journals Optimal Rainfall Estimation by Considering Elevation in the Han River Basin, South Korea

2013 ◽  
Vol 52 (4) ◽  
pp. 802-818 ◽  
Author(s):  
Seong-Sim Yoon ◽  
Deg-Hyo Bae
Keyword(s):  
South Korea ◽  
River Basin ◽  
Flood Control ◽  
Rainfall Data ◽  
Spatiotemporal Variability ◽  
Radar Rainfall ◽  
Mountainous Regions ◽  
Han River ◽  
Orographic Rainfall ◽  
Han River Basin

AbstractMore than 70% of South Korea has mountainous terrain, which leads to significant spatiotemporal variability of rainfall. The country is exposed to the risk of flash floods owing to orographic rainfall. Rainfall observations are important in mountainous regions because flood control measures depend strongly on rainfall data. In particular, radar rainfall data are useful in these regions because of the limitations of rain gauges. However, radar rainfall data include errors despite the development of improved estimation techniques for their calculation. Further, the radar does not provide accurate data during heavy rainfall in mountainous areas. This study presents a radar rainfall adjustment method that considers the elevation in mountainous regions. Gauge rainfall and radar rainfall field data are modified by using standardized ordinary cokriging considering the elevation, and the conditional merging technique is used for combining the two types of data. For evaluating the proposed technique, the Han River basin was selected; a high correlation between rainfall and elevation can be seen in this basin. Further, the proposed technique was compared with the mean field bias and original conditional merging techniques. Comparison with kriged rainfall showed that the proposed method has a lesser tendency to oversmooth the rainfall distribution when compared with the other methods, and the optimal mean areal rainfall is very similar to the value obtained using gauges. It reveals that the proposed method can be applied to an area with significantly varying elevation, such as the Han River basin, to obtain radar rainfall data of high accuracy.

Food Drive and Satiety in Yellow Mice

1957 ◽  
Vol 189 (1) ◽  
pp. 36-38 ◽  
Author(s):  
Guy Hollifield ◽  
William Parson
Keyword(s):  
Yellow Gene ◽  
Running Activity ◽  
Fasting And Refeeding ◽  
Ad Libitum ◽  
Per Se ◽  
Relationship Of ◽  
The Relationship ◽  
Ad Libitum Feeding ◽  
Reduced Activity

Spontaneous running activity during ad libitum feeding, fasting and refeeding was studied in inbred yellow mice. These studies suggest that the yellow gene per se is not associated with reduced activity and that inbred yellow mice have intact hypothalamic feeding centers. The relationship of these findings to obesity in yellow mice is discussed.

scholarly journals Benefit Transfer for Water Management along the Han River in South Korea Using Meta-Regression Analysis

Water ◽  
2016 ◽  
Vol 8 (11) ◽  
pp. 492 ◽  
Author(s):  
Hio-Jung Shin ◽  
Hyun Kim ◽  
Chul-Hyun Jeon ◽  
Min-Woo Jo ◽  
Trung Nguyen ◽  
...  
Keyword(s):  
Water Management ◽  
Regression Analysis ◽  
South Korea ◽  
Benefit Transfer ◽  
Han River ◽  
Meta Regression ◽  
Meta Regression Analysis

scholarly journals Draft Genome Sequence of Putative 2-Methylisoborneol-Producing Pseudanabaena yagii Strain GIHE-NHR1, Isolated from the North Han River in South Korea

2020 ◽  
Vol 9 (27) ◽  
Author(s):  
Ju-Yong Jeong ◽  
Sang-Hoon Lee ◽  
Mi-Ra Yun ◽  
Seung-Eun Oh ◽  
Tae-Hwa Kim ◽  
...  
Keyword(s):  
South Korea ◽  
Genome Sequence ◽  
Genome Analysis ◽  
Draft Genome ◽  
Draft Genome Sequence ◽  
Filamentous Cyanobacterium ◽  
Comparative Genome Analysis ◽  
Han River ◽  
The North ◽  
Genome Information

ABSTRACT The draft genome sequence of Pseudanabaena yagii GIHE-NHR1, a filamentous cyanobacterium, is reported here. Comparative genome analysis suggests that this strain can produce an odor-causing compound (2-methylisoborneol) in water. The genome information is expected to improve the understanding of the putative 2-methylisoborneol production by the bacterium.

scholarly journals Monthly Precipitation Forecasting in the Han River Basin, South Korea, Using Large-Scale Teleconnections and Multiple Regression Models

Water ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 1590
Author(s):  
Chul-Gyum Kim ◽  
Jeongwoo Lee ◽  
Jeong Eun Lee ◽  
Nam Won Kim ◽  
Hyeonjun Kim
Keyword(s):  
South Korea ◽  
River Basin ◽  
Regression Models ◽  
Climate Indices ◽  
Monthly Precipitation ◽  
Precipitation Forecasting ◽  
Han River ◽  
The Past ◽  
Multiple Regression Models ◽  
Han River Basin

In this study, long-term precipitation forecasting models capable of reflecting constantly changing climate characteristics and providing forecasts for up to 12 months in advance were developed using lagged correlations with global and local climate indices. These models were applied to predict monthly precipitation in the Han River basin, South Korea. Based on the lead month of forecast, 10 climate indices with high correlations were selected and combined to construct four-variable multiple regression models for monthly precipitation forecasting. The forecast results for the analytical period (2010–2019) showed that predictability was low for some summer seasons but satisfactory for other seasons and long periods. In the goodness-of-fit test results, the Nash–Sutcliffe efficiency (0.48–0.57) and the ratio of the root mean square error to the standard deviation of the observation (0.66–0.72) were evaluated to be satisfactory while the percent bias (9.4–15.5%) was evaluated to be between very good and good. Due to the nature of the statistical models, however, the predictability is highly likely to be reduced if climate phenomena that are different from the statistical characteristics of the past appear in the forecast targets or predictors. The forecast results were also presented as tercile probability information (below normal, normal, above normal) through a comparison with the observation data of the past 30 years. The results are expected to be utilized as useful forecast information in practice if the predictability for some periods is improved.

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