scholarly journals How Vulnerable Are Urban Regeneration Sites to Climate Change in Busan, South Korea?

2020 ◽  
Vol 12 (10) ◽  
pp. 4032 ◽  
Author(s):  
Youngeun Kang ◽  
Keonhyeong Kim ◽  
Jeahyun Jung ◽  
Seungwoo Son ◽  
Eujin-Julia Kim
Keyword(s):  
Climate Change ◽  
South Korea ◽  
Climate Change Impact ◽  
Urban Regeneration ◽  
Climate Change Impacts ◽  
Risk Indicators ◽  
Climate Change Risk ◽  
Graphic Information System ◽  
Change Impact ◽  
Adaptation Policies

Research on the risks of climate change to urban regeneration projects has been insufficient to date. Therefore, this study aims to compare and analyze the degree of risk of climate change impact on areas with and without urban regeneration projects (for Eup, Myeon, and Dong regional units) in Busan, South Korea. In this study, (1) climate change risk indicators were extracted based on the concept of risk (hazard, vulnerability, and exposure), (2) a spatial analysis was performed using a graphic information system (GIS), and (3) the primary influencing factors were derived through a logistic regression analysis. The principal results show that urban regeneration areas have a higher risk of climate change impact than other areas. The results indicate that urban regeneration areas have a higher population density per area and more impermeable or flooded areas can increase the risk of climate change impacts. We also discuss strategies to develop resilient cities and climate change adaptation policies for future urban regeneration projects.

scholarly journals A meta analysis of the climate change impact on rice yield in South Korea

2015 ◽  
Vol 26 (2) ◽  
pp. 355-365 ◽  
Author(s):  
Deok Ha Shin ◽  
Mun Su Lee ◽  
Ju-Hyun Park ◽  
Yung-Seop Lee
Keyword(s):  
Climate Change ◽  
South Korea ◽  
Climate Change Impact ◽  
Rice Yield ◽  
Meta Analysis ◽  
Change Impact

scholarly journals Accounting for global-mean warming and scaling uncertainties in climate change impact studies: application to a regulated lake system

2007 ◽  
Vol 11 (3) ◽  
pp. 1207-1226 ◽  
Author(s):  
B. Hingray ◽  
N. Mouhous ◽  
A. Mezghani ◽  
K. Bogner ◽  
B. Schaefli ◽  
...  
Keyword(s):  
Climate Change ◽  
Climate Change Impact ◽  
Climate Models ◽  
Regional Climate ◽  
Climate Change Impacts ◽  
Future Climate ◽  
Climate Scenarios ◽  
Change Impact ◽  
Global Mean ◽  
Potential Climate Change

Abstract. A probabilistic assessment of climate change and related impacts should consider a large range of potential future climate scenarios. State-of-the-art climate models, especially coupled atmosphere-ocean general circulation models and Regional Climate Models (RCMs) cannot, however, be used to simulate such a large number of scenarios. This paper presents a methodology for obtaining future climate scenarios through a simple scaling methodology. The projections of several key meteorological variables obtained from a few regional climate model runs are scaled, based on different global-mean warming projections drawn in a probability distribution of future global-mean warming. The resulting climate change scenarios are used to drive a hydrological and a water management model to analyse the potential climate change impacts on a water resources system. This methodology enables a joint quantification of the climate change impact uncertainty induced by the global-mean warming scenarios and the regional climate response. It is applied to a case study in Switzerland, a water resources system formed by three interconnected lakes located in the Jura Mountains. The system behaviour is simulated for a control period (1961–1990) and a future period (2070–2099). The potential climate change impacts are assessed through a set of impact indices related to different fields of interest (hydrology, agriculture and ecology). The results obtained show that future climate conditions will have a significant influence on the performance of the system and that the uncertainty induced by the inter-RCM variability will contribute to much of the uncertainty of the prediction of the total impact. These CSRs cover the area considered in the 2001–2004 EU funded project SWURVE.

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