Future Associations between Heat Waves and Mortality in South Korea: the city-specific climate change impact projection

2016 ◽  
Vol 2016 (1) ◽  
Author(s):  
Soo Hyun Lee* ◽  
Ho Kim
2020 ◽  
Vol 12 (10) ◽  
pp. 4032 ◽  
Author(s):  
Youngeun Kang ◽  
Keonhyeong Kim ◽  
Jeahyun Jung ◽  
Seungwoo Son ◽  
Eujin-Julia Kim

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.


2019 ◽  
Vol 19 (7) ◽  
pp. 2172-2178 ◽  
Author(s):  
Katerina Donevska ◽  
Angelco Panov

Abstract The aim of the paper is to present the climate change impact on drinking water supply, and to assess the availability of current water resources to meet the increasing demands in climate change conditions, for the city of Skopje. Series of monthly precipitation and temperature data are estimated up to 2050, using recorded data and data for predicted changes of air temperature and precipitation according to climate change scenarios. Climate change impact on drinking water supply is assessed using multi-regression models for the dependence of the water supply data on the main climate parameters: temperature and precipitation. Forecast of future water quantities includes implementation of multi-regression models defined with a set of independent variables: the number of the population for time sets (t, t-1, t-2, t-3), precipitation and air temperature including predicted changes of the data under climate change conditions for the same time sets. Two scenarios are analysed: the first predicts that the number of the population until 2050 remains nearly the same as nowadays, the second predicts an increase of the number of the population at an average annual rate of increase of 0.58%. Results indicate shortage of available water resources for population and industry in climate change scenarios (increase of temperatures and decrease of precipitation) and increase of population.


2015 ◽  
Vol 26 (2) ◽  
pp. 355-365 ◽  
Author(s):  
Deok Ha Shin ◽  
Mun Su Lee ◽  
Ju-Hyun Park ◽  
Yung-Seop Lee

Sign in / Sign up

Export Citation Format

Share Document