The re-discussion of the location of Silla"s Danghang Castle(党項城) in the early 7th century - Criticizing the "Theory of Dangseong(唐城) and bringing up the "Theory of the Han river(漢江)"-

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.

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Sensitive analysis of river geometry under various flow conditions in South Han River using GSTARS model

Journal of Korea Water Resources Association ◽

10.3741/jkwra.2016.49.4.347 ◽

2016 ◽

Vol 49 (4) ◽

pp. 347-359

Author(s):

Jungkyu Ahn ◽

Jong Mun Lee ◽

Young Do Kim ◽

Boosik Kang

Keyword(s):

Flow Conditions ◽

Sensitive Analysis ◽

Han River

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Management of Water Resources on the Han River, Korea

Handbook of Catchment Management 2e ◽

10.1002/9781119531241.ch21 ◽

2021 ◽

pp. 533-547

Author(s):

Hwirin Kim

Keyword(s):

Water Resources ◽

Han River

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Prioritization in Strategic Environmental Assessment Using Fuzzy TOPSIS Method with Random Generation for Absent Information in South Korea

Sustainability ◽

10.3390/su13031458 ◽

2021 ◽

Vol 13 (3) ◽

pp. 1458

Author(s):

Daeryong Park ◽

Huan-Jung Fan ◽

Jun-Jie Zhu ◽

Taesoon Kim ◽

Myoung-Jin Um ◽

...

Keyword(s):

Decision Making ◽

Multicriteria Decision Making ◽

Fuzzy Topsis ◽

River Basins ◽

Ideal Solution ◽

Missing Information ◽

Nakdong River ◽

Han River ◽

Priority Ranking ◽

The Nakdong River

This study evaluated a fuzzy technique for order performance by similarity to ideal solution (TOPSIS) as a multicriteria decision making system that compensates for missing information with undefined weight factor criteria. The suggested Fuzzy TOPSIS was applied to ten potential dam sites in three river basins (the Han River, the Geum River, and the Nakdong River basins) in South Korea. To assess potential dam sites, the strategic environment assessment (SEA) monitored four categories: national preservation, endangered species, water quality, and toxic environment. To consider missing information, this study applied the Monte Carlo Simulation method with uniform and normal distributions. The results show that effects of missing information generation with one fuzzy set in GB1 site of the Geum River basin are not great in fuzzy positive-ideal solution (FPIS) and fuzzy negative-ideal solution (FNIS) estimations. However, the combination of two fuzzy sets considering missing information in Gohyun stream (NG) and Hoenggye stream (NH) sites of the Nakdong River basin has a great effect on estimating FPIS, FNIS, and priority ranking in Fuzzy TOPSIS applications. The sites with the highest priority ranking in the Han River, Geum River, and Nakdong River basins based on Fuzzy TOPSIS are the Dal stream 1 (HD1), Bocheong stream 2 (GB2) and NG sites. Among the sites in all river basins, the GB2 site had the highest priority ranking. Consequently, the results coincided with findings of previous studies based on multicriteria decision making with missing information and show the applicability of Fuzzy TOPSIS when evaluating priority rankings in cases with missing information.

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Spatiotemporal Evolution of Landscape Ecological Risk Based on Geomorphological Regionalization during 1980–2017: A Case Study of Shaanxi Province, China

Sustainability ◽

10.3390/su12030941 ◽

2020 ◽

Vol 12 (3) ◽

pp. 941

Author(s):

Di Liu ◽

Hai Chen ◽

Hang Zhang ◽

Tianwei Geng ◽

Qinqin Shi

Keyword(s):

River Basin ◽

Ecological Risk ◽

Land Surface ◽

Risk Model ◽

Shaanxi Province ◽

Regional Differentiation ◽

Ecological Risks ◽

Han River ◽

Han River Basin ◽

Landscape Ecological

Land surface elements, such as land use, are in constant change and dynamically balanced, driving changes in global ecological processes and forming the regional differentiation of surface landscapes, which causes many ecological risks under multiple sources of stress. The landscape pattern index can quickly identify the disturbance caused by the vulnerability of the ecosystem itself, thus providing an effective method to support the spatial heterogeneity of landscape ecological risk. A landscape ecological risk model based on the degree of interference and fragility was constructed and spatiotemporal differentiation of risk between 1980 and 2017 in Shaanxi Province was analyzed. The spatiotemporal migration of risk was demonstrated from the perspective of geomorphological regionalization and risk gravity. Several conclusions were drawn: The risk of Shaanxi Province first increased and then decreased, at the same time, the spatial differentiation of landscape ecological risk was very significant. The ecological risk presented a significant positive correlation but the degree of autocorrelation decreased. The risk of the Qinba Mountains was low and the risk of the Guanzhong Plain and Han River basin was high. The risk of Loess Plateau and sandstorm transition zone decreased greatly and their risk gravities shifted to the southwest. The gravity of the Guanzhong Plain and Qinling Mountains had a northward trend, while the gravity of the Han River basin and Daba Mountains shifted to the southeast. In the analysis of typical regions, there were different relationships between morphological indicators and risk indexes under different geomorphological features. The appropriate engineering measures and landscape management for different geomorphological regionalization were suggested for effective reduction of ecological risks.

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